TransformasiStruktural, Penurunan

Transformasi Struktural, PenurunanKemiskinan dan KesenjanganPendapatan

Mohamad IkhsanLPEM FEBUI

Beberapa indikator ekonomi dan sosialTabel 1Indonesia: Indikator Sosial Ekonomi 1960an - terkini

1960 1970 1980 1990 2000 2010 terkini*)EkonomiPDB per kapita (2010USD) 577 660 1096 1653 2143 3125 3956PDB per kapita (harga konstan dan 1960=100) 100 114 190 286 371 542 686PDB per Kapita (current USD) 54 81 517 620 773 2951 3605Konsumsi RT per kapita (2000 USD) 104 123 178 310 477 648 671Indeks Produksi Pangan (1961=100) 100 134 193 309 385 603 na

SosialAngka Harapan Hidup (tahun) 45.1 51.8 57.8 62.1 65.7 68.9 69.1Tingkat Kematian bayi (per 1000 kelahiran) 128.1 102.5 75.7 54.1 37.6 25.8 22.8Angka Kematian Kasar ( per 1000 orang) 20.1 14.6 10.6 8.4 7.4 7.0 6.9Tingkat Buta Huruf orang Dewasa (% penduduk) 57.1 39.1 28.8 15.9 10.1 7.4 naExpected Years of Schooling (tahun) na na 8.7 10.4 11.1 12.0 12.9Mean years of Schooling (tahun) na na 3.1 3.3 4.8 5.8 7.9Human Development Index (Indeks=100) na na 42.3 48.1 54.3 61.3 68.9

Sumber: BPS, Bank Dunia dan UNDP Database

Sheet1

Indicator Name Indicator Code 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

Agricultural machinery, tractors AG.AGR.TRAC.NO 50 50 50 50 100 100 100 100 100 150 150 150 150 155 210 240 510 1820 1820 2100 2745 3390 3390 3652 3915 4175 4048 4316 4620 4524 4997 5470 5942 6033 6124 5139 4483 4656 4335 4013

Fertilizer consumption (% of fertilizer production) AG.CON.FERT.PT.ZS 111.6578523592 111.0242971584 123.1850403231 102.5829930627 109.0276061748 112.1928849209 117.5629560961 110.9188729708 113.4576141827

Fertilizer consumption (kilograms per hectare of arable land) AG.CON.FERT.ZS 123.9590657836 131.1321521021 131.2093975513 150.5473434795 158.0160930233 168.1390909091 183.2418061674 181.3542372881

Agricultural land (sq. km) AG.LND.AGRI.K2 386000 386000 385500 385500 385000 384500 384500 384500 384000 384000 383500 383500 383000 383000 382560 380460 380460 380460 380000 380000 379500 379500 379000 370520 396790 412920 434850 441370 444350 450830 415240 413510 420160 419710 421870 421630 427220 429220 439230 456770 463000 468810 494060 517660 492460 502000 510000 520000 536000

Agricultural land (% of land area) AG.LND.AGRI.ZS 21.307484668 21.307484668 21.2798842993 21.2798842993 21.2522839305 21.2246835618 21.2246835618 21.2246835618 21.197083193 21.197083193 21.1694828243 21.1694828243 21.1418824555 21.1418824555 21.1175941311 21.0016725823 21.0016725823 21.0016725823 20.9762802431 20.9762802431 20.9486798744 20.9486798744 20.9210795056 20.4529772518 21.9031006254 22.793488521 24.004040694 24.3639495024 24.5284477001 24.8861484789 22.921554232 22.8260569561 23.1931418604 23.1683015285 23.2875351215 23.2742869445 23.582859067 23.693260542 24.2458199242 25.2140408596 25.5579414541 25.8786577389 27.2724763603 28.5752137649 27.1841551803 27.7107702159 28.1523761157 28.7043834906 29.5875952903

Arable land (hectares) AG.LND.ARBL.HA 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18021000 19500000 20178000 21170000 21156000 20860000 20253000 18081000 18100000 18129000 17126000 17342000 17941000 18500000 18700000 19700000 20500000 20200000 20081000 22406000 24666000 21946000 21500000 22000000 22700000 23600000

Arable land (hectares per person) AG.LND.ARBL.HA.PC 0.1910305409 0.186369666 0.1817847077 0.1772721416 0.1728331353 0.1684765194 0.1642144687 0.1600554731 0.1560075085 0.1520761692 0.1482631552 0.1445693209 0.1409969974 0.137547965 0.1342222565 0.1310214597 0.1279426344 0.1249768099 0.1221136398 0.1193475318 0.1166744446 0.1140984913 0.1116308949 0.1094125257 0.1159891253 0.1176749522 0.1211324454 0.1188493923 0.1151227603 0.1098640963 0.0964567958 0.0950069187 0.0936775057 0.0871603412 0.0869707649 0.0887039585 0.0902159716 0.0899733649 0.0935374741 0.0960657959 0.0934304953 0.0916830264 0.1010010695 0.1098187123 0.0965494653 0.0935113773 0.0946392272 0.0966158268 0.0994042087

Arable land (% of land area) AG.LND.ARBL.ZS 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9477249016 10.764143809 11.1384048091 11.6859961249 11.6782680217 11.5148738387 11.1798053622 9.9808453441 9.9913334842 10.0073416981 9.4536783011 9.5729118941 9.9035643116 10.2121364341 10.3225379091 10.8745452839 11.3161511838 11.1505489713 11.0848600937 12.3682772402 13.6158139073 12.1143538478 11.8681585586 12.144162246 12.5305674084 13.0273740457

Land under cereal production (hectares) AG.LND.CREL.HA 9319000 10458000 9290000 10626000 9834000 11469000 10063000 11240780 10448440 11073690 10951020 10057690 11836770 11175470 10939970 10463810 10926080 11953780 11397180 11740010 12336880 11049760 12164700 12849830 12342260 13131210 12548620 13543950 13475400 13660490 13190600 14732650 13952330 13843200 15090640 15313270 14495820 15564020 15419560 15293000 14785900 14648030 14835910 15279910 15465090 15132210 15777920 16312510 17044260 17387450

Permanent cropland (% of land area) AG.LND.CROP.ZS 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.3680343569 4.5976694249 4.9084495769 5.229717869 5.6646996804 5.6757398279 6.4695264329 6.4673184034 6.321036449 6.6721131394 7.2009362045 7.2009362045 7.2009362045 7.2009362045 7.2009362045 7.2014882119 7.7281032475 8.2801106223 8.6665157847 8.8321179971 8.8873187346 8.9977202095 9.7705305343 9.9361327467 10.1017349592 10.4881401216

Land area where elevation is below 5 meters (% of total land area) AG.LND.EL5M.ZS 5.497674 5.497674

Forest area (sq. km) AG.LND.FRST.K2 1185450 994090 978570 944320

Forest area (% of land area) AG.LND.FRST.ZS 65.4377142479 54.8745011233 54.0177856776 52.1271604189

Agricultural irrigated land (% of total agricultural land) AG.LND.IRIG.AG.ZS 16.5290842772 11.7495850706 14.8669010547 16.0134833286

Average precipitation in depth (mm per year) AG.LND.PRCP.MM 2702 2702 2702 2702 2702 2702 2702 2702 2702 2702 2702 2702

Land area (sq. km) AG.LND.TOTL.K2 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570

Agricultural machinery, tractors per 100 sq. km of arable land AG.LND.TRAC.ZS 0.0277777778 0.0277777778 0.0277777778 0.0277777778 0.0555555556 0.0555555556 0.0555555556 0.0555555556 0.0555555556 0.0833333333 0.0833333333 0.0833333333 0.0833333333 0.0861111111 0.1166666667 0.1333333333 0.2833333333 1.0111111111 1.0111111111 1.1666666667 1.525 1.8833333333 1.8833333333 2.0265246102 2.0076923077 2.0690851422 1.9121398205 2.0400831915 2.2147651007 2.2337431492 2.7636745755 3.0220994475 3.2776214904 3.5227140021 3.5313112674 2.8643888301 2.4232432432 2.4898395722 2.2005076142 1.9575609756

Cereal production (metric tons) AG.PRD.CREL.MT 14367100 16246900 13952800 16074600 15339500 17367400 15591100 20328850 20313080 22156220 22796490 21647980 25179300 25483780 25242090 25873040 26489750 29800800 29888240 33642840 37283500 36818530 40389880 43424230 43362400 45647170 45233880 48328120 50918110 51912830 50944110 56235460 54640840 53510380 57990000 60408920 58147950 59406200 60070440 61575000 59808000 61074980 63024000 65313700 66675000 66064400 70444900 76575000 82028600 84775900

Crop production index (2004-2006 = 100) AG.PRD.CROP.XD 21.31 22.66 21.56 22.83 22.92 23.6 22.74 26.12 26.62 28.17 28.8 28.76 31.23 32.53 31.85 31.6 32.96 35.18 36.91 39.92 42.73 42.01 45.08 48.93 49.99 52.48 53.23 56.28 59.33 61.82 62.49 68.19 68.86 69.45 75.64 75.62 72.67 74.08 75.65 77.91 79.49 84.53 90.29 95.93 100 104.06 107.95 115.2 122.2 122.17

Food production index (2004-2006 = 100) AG.PRD.FOOD.XD 20.19 21.61 20.42 21.95 21.82 22.44 21.65 24.93 25.25 26.98 27.85 27.79 30.23 31.74 31.12 30.79 32.18 34.26 35.76 38.87 41.67 41.52 44.65 48.65 49.75 52.75 53.56 56.62 59.98 62.43 63.51 69.48 70.58 71.92 77.34 77.59 74.84 74.63 75.16 77.81 79.56 85.29 91.15 96.69 99.52 103.79 107.09 113.54 120.78 121.75

1 1.0703318474 1.0113917781 1.0871718673 1.0807330362 1.1114413076 1.0723130263 1.234769688 1.2506191184 1.3363051015 1.3793957405 1.3764239723 1.4972758791 1.5720653789 1.5413571075 1.5250123824 1.5938583457 1.6968796434 1.7711738484 1.9252105002 2.0638930163 2.0564635958 2.211490837 2.4096087172 2.4640911342 2.6126795443 2.6527984151 2.8043585934 2.9707776127 3.0921248143 3.1456166419 3.441307578 3.495789995 3.5621594849 3.8306092125 3.84299158 3.7067855374 3.6963843487 3.7226349678 3.8538880634 3.940564636 4.2243684993 4.5146111937 4.7890044577 4.9291728579 5.1406636949 5.304110946 5.6235760277 5.9821693908 6.0302129767

Livestock production index (2004-2006 = 100) AG.PRD.LVSK.XD 16.9 17.7 17.7 18.43 18.67 18.3 18.18 19.43 19.53 21.67 22.44 23.58 24.14 25.56 26.07 27.16 27.48 28.33 30.68 32.72 34.35 36.31 40.82 43.79 46.56 51.83 53.35 55.45 58.67 62.8 66.72 71.31 76.84 82.45 79.52 83.34 83.05 72.77 68.65 74.36 80.44 89.8 94.51 99.41 95.37 105.22 104.71 106.02 110.42 119.25

Surface area (sq. km) AG.SRF.TOTL.K2 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570

Cereal yield (kg per hectare) AG.YLD.CREL.KG 1541.7 1553.5 1501.9 1512.8 1559.8 1514.3 1549.3 1808.5 1944.1 2000.8 2081.7 2152.4 2127.2 2280.3 2307.3 2472.6 2424.5 2493 2622.4 2865.7 3022.1 3332.1 3320.3 3379.4 3513.3 3476.2 3604.7 3568.2 3778.6 3800.2 3862.2 3817.1 3916.3 3865.5 3842.8 3944.9 4011.4 3816.9 3895.7 4026.4 4044.9 4169.5 4248.1 4274.5 4311.3 4365.8 4464.8 4694.3 4812.7 4875.7

Trade in services (% of GDP) BG.GSR.NFSV.GD.ZS 5.8903120198 5.6654075059 5.6894054215 5.4889465972 6.8457488671 6.3701700087 7.2501352775 6.7295415479 7.209093432 7.4668019611 7.3232008077 8.259997192 8.7369629928 9.1654718205 9.4042491596 9.5606418706 10.914542299 17.3577626378 12.1246307301 12.6354965114 13.3256485233 12.1167911479 9.6660835766 12.8103633817 12.2347554405 9.0281385206 8.5179116824 8.5236529408 6.6814050033 6.0527533497 6.2451560756

Communications, computer, etc. (% of service imports, BoP) BM.GSR.CMCP.ZS 44.1776710684 39.5721925134 33.8436572489 40.4576566171 55.0730282376 49.7180451128 52.2297311712 47.7203675206 45.2105178158 36.1789970938 32.5411334552 37.8518502716 43.9670925858 45.9705676244 44.7267355982 46.3042464628 49.900644692 48.9987152454 52.3380668256 51.8087023547 52.3366826407 48.6508815357 52.8427871681 88.8582462344

Income payments (BoP, current US$) BM.GSR.FCTY.CD 4154000000 4016000000 4281000000 4889000000 4310000000 3948000000 4215000000 4584000000 5109000000 5599000000 6498000000 6482000000 6015000000 5741000000 7180000000 7218000000 8187000000 10098800000 10887159139.2405 10900883886.076 8939900000 8365464061.67644 7271950421.27491 12912256499.5109 15264309256.0414 16376799712.7186 18993820000 18747210097.7346 17061238334.4782 22679589881.3787 28144188604.6954

Imports of goods and services (BoP, current US$) BM.GSR.GNFS.CD 21540000000 22716000000 22037000000 19286000000 17840000000 16194000000 16972000000 18437000000 21749000000 27511000000 31398000000 34874000000 38222000000 43738000000 54461000000 59379000000 62830000000 44030357373.1649 42974513498.0652 56002459130.4348 50548622608.6956 52696767225.6136 56946590677.3864 71471152278.0404 91510592533.2134 95261792802.1806 109588090000 144935614049.389 111610160174.319 153536398207.794 198479478527.581

Insurance and financial services (% of service imports, BoP) BM.GSR.INSF.ZS 3.8075230092 4.220485397 4.7459986082 3.8877093654 2.7108081792 3.0310150376 3.0495495495 3.2609639601 3.2579518294 3.8688903567 4.1453382084 3.624691358 3.1596587447 3.1114225648 3.3308714919 3.2102516679 3.0649726019 2.7599767362 2.1972021271 2.0653552223 1.8030710928 1.8377948876 1.7217404744 4.5369963941 3.9792592156 3.4085970665 4.2621826854 3.6268310209 7.5266780062 6.1452697146 5.9492847768

Goods imports (BoP, current US$) BM.GSR.MRCH.CD 16542000000 17854000000 17726000000 15047000000 12705000000 11938000000 12532000000 13831000000 16310000000 21455000000 24834000000 26774000000 28376000000 32322000000 40921000000 44240000000 46223000000 31942145700 30598450000 40365376000 34668480000 35651883593 39546174967.4012 50614842997.4068 69461765038.9556 73867847651.2105 85259710000 116690660761.261 88714091162.7571 127447053592.315 166125121728.288

Service imports (BoP, current US$) BM.GSR.NFSV.CD 4998000000 4862000000 4311000000 4239000000 5135000000 4256000000 4440000000 4606000000 5439000000 6056000000 6564000000 8100000000 9846000000 11416000000 13540000000 15139000000 16607000000 12088211673.1649 12376063498.0652 15637083130.4348 15880142608.6957 17044883632.6136 17400415709.9852 20856309280.6336 22048827494.2578 21393945150.9701 24328380000 28244953288.1282 22896069011.5623 26089344615.4793 32354356799.2935

Royalty and license fees, payments (BoP, current US$) BM.GSR.ROYL.CD 990320000 960870000 872228636.997941 1085450000 1327681813.9019 1530107288.81507 1616459043.16398 1786437103.75061

Imports of goods, services and income (BoP, current US$) BM.GSR.TOTL.CD 25694000000 26732000000 26318000000 24175000000 22150000000 20142000000 21187000000 23021000000 26858000000 33110000000 37896000000 41356000000 44237000000 49479000000 61641000000 66597000000 71017000000 54129157373.1649 53861672637.3057 66903343016.5107 59488522608.6956 61062231287.29 64218541098.6613 84383408777.5513 106774901789.255 111638592514.899 128581910000 163682824147.124 128671398508.798 176215988089.173 226623667132.277

Transport services (% of service imports, BoP) BM.GSR.TRAN.ZS 40.0900360144 44.6482928836 49.3017861285 43.5291342298 30.7069133398 33.8580827068 33.2117117117 36.1658706036 38.2570325427 46.1476221929 48.5511882998 44.1283950617 37.2425350396 34.2747021724 35.9010339734 34.6390118238 32.5164087433 30.8568545795 26.4538411137 25.6835100504 24.4139643035 30.2138652567 27.721039339 26.2439632779 33.7920413455 38.2390271766 39.0525386401 49.1933004719 28.4864739225 33.242471793 37.5194046848

Travel services (% of service imports, BoP) BM.GSR.TRVL.ZS 11.924769908 11.5590292061 12.108559499 12.1255012975 11.5092502434 13.3928571429 11.509009009 12.8528006947 13.2744989888 13.8044914135 14.7623400366 14.3950617284 15.6307129799 16.6433076384 16.0413589365 15.8464892001 14.5179743482 17.3844544827 19.010891471 20.4424314518 21.4462809555 19.297459302 17.7144317118 16.814993266 16.2560277051 18.8392337539 20.1571169145 19.6646357818 23.2185737369 24.510135863 22.4968665338

Foreign direct investment, net outflows (% of GDP) BM.KLT.DINV.GD.ZS 0.2253066878 0.3442775759 0.2983198613 0.2638874378 0.0825033349 1.3269122239 1.0721708829 0.7476613643 1.0816679669 1.1562554197 0.4168282491 0.376291898 0.9118874945

Private current transfers, payments (BoP, current US$) BM.TRF.PRVT.CD 470410000 183980000 1293938074.44158 1199583279.71955 1215732595.53871 1696500000 1988536126.8004 2663153246.56063 2940954801.91489 3416335732.37845

Personal transfers and compensation of employees, paid (current US$) BM.TRF.PWKR.CD.DT 913221496.6 1178915744.9 1359066196 1654250000 1971467529.7 2701592136.2 2839937799.4 3163740018.5

Current account balance (BoP, current US$) BN.CAB.XOKA.CD -566000000 -5324000000 -6338000000 -1856000000 -1923000000 -3911000000 -2098000000 -1397000000 -1108000000 -2988000000 -4260000000 -2780000000 -2106000000 -2792000000 -6431000000 -7663000000 -4889000000 4096965770.22987 5782898397.49641 7992091763.19783 6900915637.8044 7823523644.12285 8106792055.95371 1563017799.54063 277554218.390854 10859492464.381 10492590000 125240090.030975 10628489686.077 5144284990.09198 2070020010.69901

Current account balance (% of GDP) BN.CAB.XOKA.GD.ZS -0.6120647335 -5.6210640257 -7.4242230927 -2.1184206455 -2.2017687024 -4.8850460597 -2.7630851611 -1.5734174966 -1.0921076733 -2.6112832701 -3.3237625656 -1.9983284478 -1.3328536083 -1.5783628769 -3.1815837943 -3.3702823928 -2.2660606973 4.2924639811 4.1306018071 4.8430752264 4.3010576015 3.9985174342 3.453042191 0.6085643851 0.0970915339 2.9787082855 2.4276223207 0.0245451108 1.9697710242 0.7265663808 0.2444427371

Net income (BoP, current US$) BN.GSR.FCTY.CD -3073000000 -2993000000 -3650000000 -4061000000 -3542000000 -3216000000 -3654000000 -4092000000 -4547000000 -5190000000 -5581000000 -5664000000 -4987000000 -4693000000 -5874000000 -6008000000 -6332000000 -8189000000 -8996659139.2405 -8443383886.07595 -6935500000 -7047765709.96442 -6217456176.78647 -10917221531.5259 -12926627527.2884 -13789573806.8456 -15524630000 -15155390370.5829 -15140098798.9489 -20789877040.0166 -25666722878.2625

Net trade in goods and services (BoP, current US$) BN.GSR.GNFS.CD 2257000000 -2465000000 -2802000000 2038000000 1531000000 -954000000 1299000000 2441000000 3100000000 1784000000 1059000000 2313000000 2344000000 1282000000 -1538000000 -2592000000 409000000 10819614426.8351 12865957536.7369 14619075649.2737 12316415637.8044 13131251791.0235 12455538881.6376 11341407383.9157 8411229717.7543 19786000661.7644 20913220000 9917006200.62198 21191036277.875 21303866417.485 23524552241.672

Net trade in goods (BoP, current US$) BN.GSR.MRCH.CD 6806000000 1893000000 963000000 5707000000 5822000000 2458000000 4674000000 5678000000 6664000000 5352000000 4801000000 7022000000 8231000000 7901000000 6533000000 5948000000 10075000000 18428826100 20643437521.75 25042017662.7 22696104546.5 23513231458.6371 24563068217.4828 20152287895.5244 17533559389.4656 29659958871.4689 32754140000 22915438273.956 30931651920.2789 30627437343.942 35347268073.413

Net errors and omissions, adjusted (BoP, current US$) BN.KAC.EOMS.CD -1668978875.25608 -2150980216.24265 467472490.43259 -619900612.19658 651229024.71209 -1269408058.29523 -753484747 -932851805.699999 -1315447174.8 744145221.5 91231912.6000013 -1279415603.26 -2931576117.88 -263437807.712643 -2254641469.5281 1318720306.53805 -2645396645.37666 2099324488.91496 2077022806.66725 3829331350.95967 700965345.174586 -1762555223.22607 -3510066633.69843 -3093998286.6207 -136106928.734714 1073502715.5089 -1377701145.0935 -211570243.879887 -2975076422.26311 -1480207782.96668 -4232388930.31992

Foreign direct investment, net (BoP, current US$) BN.KLT.DINV.CD 133000000 225000000 292000000 222000000 310000000 258000000 385000000 576000000 682000000 1093000000 1482000000 1777000000 1648000000 1500000000 3743000000 5594000000 4499000000 -240800000 -1865620963.49087 -4550355285.71428 -2977391857.14286 145085548.722222 -596923827.786241 -1511917230 5271257207.64285 2188448467.00071 2253330000 3418723398.70827 2628247482.66651 11106333134.5372 10437376043.4271

Private capital flows, total (BoP, current US$) BN.KLT.PRVT.CD 180000000 540000000 660000000 212000000 275000000 526000000 297000000 478000000 509000000 1000000000 1470000000 1689000000 3453000000 5377000000 7843000000 10599000000 1867000000 -2118800000 -3657970963.49087 -6461085478.54951 -3221194294.90297 1366935489.45365 1654367282.75451 2897238925.79576 9460842728.56797 6465074992.62016 7819410000 5182974868.32728 12964477809.5875 24308316805.138 14635651183.2726

Private capital flows, total (% of GDP) BN.KLT.PRVT.GD.ZS 0.1946495619 0.5701304609 0.7731125341 0.241974772 0.3148655191 0.657001848 0.3911517125 0.5383633238 0.5016992831 0.8739234505 1.1469321529 1.2140923555 2.1853482951 3.0397052969 3.8801371013 4.6615715883 0.8653580122 -2.2199044838 -2.6128111604 -3.9153107777 -2.007638252 0.6986257899 0.7046683802 1.128046287 3.309507374 1.7733400074 1.809140951 1.0157825064 2.4026981714 3.4332479244 1.7282821497

Portfolio investment, excluding LCFAR (BoP, current US$) BN.KLT.PTXL.CD 47000000 315000000 368000000 -10000000 -35000000 268000000 -88000000 -98000000 -173000000 -93000000 -12000000 -88000000 1805000000 3877000000 4100000000 5005000000 -2632000000 -1878000000 -1792350000 -1910730192.83523 -243802437.760112 1221849940.73143 2251291110.54075 4409156155.79576 4189585520.92512 4276626525.61945 5566080000 1764251469.61901 10336230326.9209 13201983670.6007 4198275139.84555

Changes in net reserves (BoP, current US$) BN.RES.INCL.CD 373978875.25608 1852980216.24265 -183472490.43259 -981099387.80342 -510229024.71209 1003408058.29523 -629515253 112851805.699999 -494552825.2 -2251145221.5 -1528231912.6 -2069584396.74 -594423882.12 -783562192.287357 -1573358530.4719 -4502720306.53805 8137396645.37666 3436809740.85517 -1915622537.83544 -3925623425.49017 15040611.3389099 -4957888541.74212 -3647266568.15626 -321023188.7157 -486913620.504061 -14957782897.4262 -12705798854.9065 1918150011.52785 -12505566040.0779 -30284440312.189 -11855630932.0658

Net current transfers (BoP, current US$) BN.TRF.CURR.CD 250000000 134000000 114000000 167000000 88000000 259000000 257000000 254000000 339000000 418000000 262000000 571000000 537000000 619000000 981000000 937000000 1034000000 1466351343.39482 1913600000 1816400000 1520000000 1740037563.06377 1868709351.10255 1138831947.15089 4792952027.9249 4863065609.46129 5104000000 5363624259.99181 4577552207.15096 4630295612.6237 4212190647.28933

Net capital account (BoP, current US$) BN.TRF.KOGT.CD 333918558 350322889 546200000 294452536.896192 95824593.216 49845904.2690753 752039.3340038

Grants, excluding technical cooperation (BoP, current US$) BX.GRT.EXTA.CD.WD 86910000 67010000 84660000 86270000 93250000 68630000 58900000 73240000 71180000 137150000 108980000 124400000 92090000 103880000 123120000 136580000 135740000 195290000 201650000 214830000 285860000 276340000 319910000 241220000 233800000 260580000 205440000 207410000 276870000 425300000 369130000 262800000 306500000 309250000 342990000 1049630000 1010600000 1001510000 842580000 978490000 851330000

Technical cooperation grants (BoP, current US$) BX.GRT.TECH.CD.WD 25730000 36840000 39940000 54610000 78100000 78740000 83830000 86610000 115090000 142270000 183570000 195920000 218080000 209990000 201410000 199850000 241740000 282980000 345800000 368560000 395710000 442160000 426490000 423420000 443140000 491480000 407450000 370660000 315150000 338920000 418480000 402410000 459520000 487830000 427810000 454470000 554840000 523520000 515070000 467910000 520360000

ICT service exports (BoP, current US$) BX.GSR.CCIS.CD 973130000 1145550000 1220351167.32689 1483650000 1273814236.94062 1156598415.45835 1239735941.3016 1623739488.93092

ICT service exports (% of service exports, BoP) BX.GSR.CCIS.ZS 8.0788323825 8.8620291105 10.5933381136 11.8811191387 8.3547861115 8.7917792189 7.3944451613 7.908474006

Communications, computer, etc. (% of service exports, BoP) BX.GSR.CMCP.ZS 34.0757238307 30.753968254 18.315018315 10.701754386 30.0947867299 18.7203791469 9.3896713615 3.0679327977 10.2933333333 10.6511254019 8.0085046067 7.4019463285 6.6683505936 4.6278924328 4.3883708173 6.2888316412 4.2212937617 5.0011163206 5.3536379703 4.5919826801 4.0723913375 4.7646644266 7.5070724651 38.7218055035 40.0780718846 41.2771877691 37.0504490104 31.1179068532 37.3975362761 40.487669576 42.4862224518

Income receipts (BoP, current US$) BX.GSR.FCTY.CD 1081000000 1023000000 631000000 828000000 768000000 732000000 561000000 492000000 562000000 409000000 917000000 818000000 1028000000 1048000000 1306000000 1210000000 1855000000 1909800000 1890500000 2457500000 2004400000 1317698351.71202 1054494244.48844 1995034967.98499 2337681728.75304 2587225905.87303 3469190000 3591819727.15172 1921139535.5293 1889712841.36208 2477465726.43287

Exports of goods and services (BoP, current US$) BX.GSR.GNFS.CD 23797000000 20251000000 19235000000 21324000000 19371000000 15240000000 18271000000 20878000000 24849000000 29295000000 32457000000 37187000000 40566000000 45020000000 52923000000 56787000000 63239000000 54849971800 55840471034.8021 70621534779.7085 62865038246.5 65828019016.6371 69402129559.024 82812559661.9561 99921822250.9677 115047793463.945 130501310000 154852620250.011 132801196452.194 174840264625.279 222004030769.253

Insurance and financial services (% of service exports, BoP) BX.GSR.INSF.ZS 0.037070923 0.0513897297 2.528178995 2.9547833082 1.8648002978 2.4683962952 2.1283630403 1.510865476 2.1136187766 2.0951727982

Goods exports (BoP, current US$) BX.GSR.MRCH.CD 23348000000 19747000000 18689000000 20754000000 18527000000 14396000000 17206000000 19509000000 22974000000 26807000000 29635000000 33796000000 36607000000 40223000000 47454000000 50188000000 56298000000 50370971800 51241887521.75 65407393662.7 57364584546.5 59165115051.6371 64109243184.884 70767130892.9312 86995324428.4212 103527806522.679 118013850000 139606099035.217 119645743083.036 158074490936.257 201472389801.701

Service exports (BoP, current US$) BX.GSR.NFSV.CD 449000000 504000000 546000000 570000000 844000000 844000000 1065000000 1369000000 1875000000 2488000000 2822000000 3391000000 3959000000 4797000000 5469000000 6599000000 6941000000 4479000000 4598583513.05208 5214141117.00854 5500453700 6662903965 5292886374.14 12045428769.0249 12926497822.5465 11519986941.2661 12487460000 15246521214.7938 13155453369.1582 16765773689.022 20531640967.5523

Royalty and license fees, receipts (BoP, current US$) BX.GSR.ROYL.CD 221187500 263330000 13445052.7973301 30690000 27211956.7544272 38128141.0043154 59560687.4038917 77695691.7130115

Exports of goods, services and income (BoP, current US$) BX.GSR.TOTL.CD 24878000000 21274000000 19866000000 22152000000 20139000000 15972000000 18832000000 21370000000 25411000000 29704000000 33374000000 38005000000 41594000000 46068000000 54229000000 57997000000 65094000000 56759771800 57730971034.8021 73079034779.7085 64869438246.5 67145717368.3491 70456623803.5125 84807594629.9411 102259503979.721 117635019369.819 133970500000 158444439977.163 134722335987.723 176729977466.641 224481496495.686

Transport services (% of service exports, BoP) BX.GSR.TRAN.ZS 15.144766147 13.6904761905 9.1575091575 8.5964912281 4.9763033175 4.6208530806 3.8497652582 3.2140248356 2.88 2.8135048232 2.8703047484 2.6245945149 1.1113917656 15.8774613225 16.1688715666 18.9189053369 21.9855174084 18.2470143055 17.6693258677 18.366340684 18.5395405924 15.8980599158 16.6835008888

Travel services (% of service exports, BoP) BX.GSR.TRVL.ZS 50.7795100223 55.5555555556 72.5274725275 80.701754386 64.9289099526 76.6587677725 86.7605633803 93.7180423667 86.8266666667 86.5353697749 89.1211906449 89.9734591566 92.2202576408 95.3721075672 95.6116291827 93.7111683588 95.7787062383 94.9988836794 94.6463620297 95.4080173199 95.9276086625 79.3208033278 76.2726662387 39.8311101646 34.9816273988 38.6109976276 42.8118288267 48.3873894226 42.5520576555 41.5006517317 38.7351038612

Foreign direct investment, net inflows (BoP, current US$) BX.KLT.DINV.CD.WD 133000000 225000000 292000000 222000000 310000000 258000000 385000000 576000000 682000000 1093000000 1482000000 1777000000 2004000000 2109000000 4346000000 6194000000 4677000000 -240800000 -1865620963.49087 -4550355285.71428 -2977391857.14286 145085548.722222 -596923827.786241 1896082770 8336257207.6 4914201435.4 6928480000 9318453649.8 4877369178.4 13770580771 18159533731

Foreign direct investment, net inflows (% of GDP) BX.KLT.DINV.WD.GD.ZS 0.1438243985 0.2375543587 0.3420437272 0.2533886764 0.3549393124 0.3222556593 0.5070485162 0.648739068 0.6722179 0.9551983314 1.1562948644 1.2773487956 1.268299445 1.1922519009 2.1500797963 2.7241979826 2.1677982985 -0.2522904473 -1.3325735286 -2.7574399304 -1.8556861947 0.0741516384 -0.2542563258 0.7382439569 2.9161149268 1.3479426023 1.6030105719 1.8262720628 0.9039196317 1.9449235514 2.1444073516

Portfolio equity, net inflows (BoP, current US$) BX.PEF.TOTL.CD.WD 0 0 0 0 0 0 0 0 0 0 0 0 1805000000 1900000000 1493000000 1819000000 -4987000000 -4371000000 -782350000 -1021180192.83523 442090511.951675 876551079.950157 1130491110.54075 2042529155.79576 -165274363.22 1897589872 3558960000 322475762.75 787278950.18 2131563489.2 -326105110.99

Current transfers, receipts (BoP, current US$) BX.TRF.CURR.CD 250000000 134000000 114000000 167000000 88000000 259000000 257000000 254000000 339000000 418000000 262000000 571000000 537000000 619000000 981000000 937000000 1034000000 1466351343.39482 1913600000 1816400000 1520000000 2210447563.06377 2052689351.10255 2432770021.59247 5992535307.64445 6078798205 6800500000 7352160386.79221 7240705453.71159 7571250414.53859 7635626379.66778

Workers' remittances, receipts (BoP, current US$) BX.TRF.PWKR.CD 10000000 53000000 61000000 71000000 86000000 99000000 167000000 166000000 130000000 229000000 346000000 449000000 651000000 796000000 725000000 958170000 1109000000 1190200000 1046000000 1258917563.06377 1488709351.10255 1700010021.59247 5296249000.00001 5560250000 6003810000 6617865564.14697 6617953588.06461 6734939812.96658 6735872884.41679

Personal transfers and compensation of employees, received (current US$) BX.TRF.PWKR.CD.DT 10000000 53000000 61000000 71000000 86000000 99000000 167000000 166000000 130000000 229000000 346000000 449000000 651000000 796000000 725000000 958169982.9 1109000000 1190199951 1046000000 1258917603 1488709351 1866314941 5419620728.8 5722357516.7 6174340000 6794200933.4 6792907280.4 6916051073.1 6923970511.4

Personal transfers and compensation of employees, received (% of GDP) BX.TRF.PWKR.DT.GD.ZS 0.0117138263 0.060493693 0.069842897 0.0886827589 0.1132627854 0.1115020273 0.1646046764 0.1450712928 0.1014293741 0.1646105088 0.2189778483 0.2538269813 0.3220667159 0.3500906674 0.3360388639 1.0038917506 0.7921352044 0.7212414557 0.651928887 0.6434190287 0.6341073218 0.7266537878 1.8958432437 1.5696160574 1.4285286664 1.3315577692 1.2589250521 0.9768063409 0.8176318559

S&P Global Equity Indices (annual % change) CM.MKT.INDX.ZG 16.3999996185 -73.6289978027 -28.0748996735 95.0999984741 -61.0417098999 -18.5326080322 33.2900009155 69.7200012207 39.3400001526 9.0793650794 67.9278230501 49.2663200462 -61.072838455 130.0666750379 37.8942154062 1.1358723171

Market capitalization of listed companies (current US$) CM.MKT.LCAP.CD 253000000 2249999872 8080000000 6819999744 12000000000 32999999488 47200002048 66585000000 91016000000 29105000000 22104000000 64087223300 26834210000 23005650000 29991370000 54659060000 73250640000 81428120000 138886360000 211692970000 98760599266.055 178190945563.824 360388099886.427 390106865177.833

Market capitalization of listed companies (% of GDP) CM.MKT.LCAP.GD.ZS 0.2849496254 2.2177275498 7.06130148 5.3211408091 8.625878192 20.8851701767 26.6829265836 32.9413399069 40.0299650608 13.4902222529 23.1587543465 45.7761458323 16.2610867745 14.33847782 15.3282614429 23.2817172317 28.5202962509 28.4844565464 38.0958827157 48.9784294541 19.3555422527 33.0240110987 50.9003443478 46.0666029205

Listed domestic companies, total CM.MKT.LDOM.NO 24 57 125 141 155 174 216 238 253 282 288 277 290 316 331 333 331 335 344 383 396 398 420 440

Stocks traded, total value (current US$) CM.MKT.TRAD.CD 4000000 541000000 3992000000 2921999872 3903000064 9157999616 11800999936 14403000000 32142000000 42927000000 10610690000 19903460000 14310690000 9666880000 13041840000 14774350000 27561460000 41900080000 48830560000 112851080000 110677616650.766 115309506142.384 129546386041.381 139617767077.532

Stocks traded, total value (% of GDP) CM.MKT.TRAD.GD.ZS 0.0045051324 0.533240299 3.4887024144 2.2798201388 2.805566928 5.7959510129 6.6712966365 7.1255405674 14.1364500416 19.8967452552 11.117008829 14.2166197974 8.6720410958 6.0249697126 6.6655418948 6.2930507583 10.73111449 14.6571111804 13.3939955421 26.1098356767 21.6910924137 21.3702351631 18.2968185148 16.4870624199

Stocks traded, turnover ratio (%) CM.MKT.TRNR 43.2281284591 77.2894491668 39.2214754658 41.4771532103 40.7022209787 29.4289269576 25.3161659986 40.7890812876 71.4729314608 41.4407233104 46.1844239772 31.4792441795 38.7917622562 49.217257876 34.9067334921 43.0951835553 54.1769018578 44.3280532446 64.3797681968 71.3005921706 83.2705274948 48.1067309008 37.2068497663

Net bilateral aid flows from DAC donors, Australia (current US$) DC.DAC.AUSL.CD 1540000 1070000 4250000 7040000 12660000 17990000 17090000 24430000 26450000 32100000 33200000 29460000 26720000 36010000 44190000 48050000 44750000 45900000 38730000 56490000 46790000 42010000 48220000 71660000 83100000 77380000 72870000 77020000 85650000 93050000 107880000 84910000 78550000 74060000 72280000 72020000 59210000 71120000 86500000 106110000 184670000 240230000 335060000 325230000 342140000 356200000

Net bilateral aid flows from DAC donors, Austria (current US$) DC.DAC.AUTL.CD 0 0 0 10000 120000 330000 -1170000 -1170000 0 0 0 0 0 0 270000 870000 400000 610000 380000 370000 66610000 7610000 200000 2980000 3330000 490000 190000 550000 6860000 4400000 230000 -9990000 -6110000 -4970000 -1080000 10560000 16150000 11100000 10540000 7430000 8520000 4770000 520000 370000 550000 1360000 2640000 1710000 1110000 1950000 850000

Net bilateral aid flows from DAC donors, Belgium (current US$) DC.DAC.BELL.CD 0 0 0 0 0 0 0 10000 410000 1650000 3700000 5800000 7000000 12080000 14470000 14460000 13240000 13980000 4930000 16200000 20550000 13560000 12940000 12090000 3240000 3390000 11270000 5840000 6230000 10740000 -1590000 37560000 2500000 15410000 1540000 -1190000 7110000 -4100000 1450000 1060000 980000 1170000 1400000 1400000 -6910000 -450000 10340000 -10080000 -6550000 -6190000 -5800000

Net bilateral aid flows from DAC donors, Canada (current US$) DC.DAC.CANL.CD 1120000 600000 500000 450000 440000 80000 100000 500000 900000 2470000 3120000 2080000 12990000 17450000 25820000 34100000 22350000 11770000 14410000 8810000 14440000 21190000 26790000 10580000 25970000 34120000 52070000 42970000 40120000 33430000 48430000 42660000 33610000 33930000 23870000 15720000 18000000 18740000 18460000 26310000 26450000 18780000 11550000 21630000 9250000 95890000 37280000 53440000 82410000 20020000 10860000

Net bilateral aid flows from DAC donors, European Union institutions (current US$) DC.DAC.CECL.CD 140000 1520000 1450000 750000 280000 0 0 0 0 4070000 4390000 130000 3130000 450000 9640000 790000 170000 2660000 2190000 1250000 1350000 30710000 9460000 6480000 3680000 8580000 7330000 6340000 8310000 13860000 12400000 12020000 12950000 13460000 14200000 25330000 22660000 15440000 14850000 28730000 37680000 28370000 23940000 27970000 42590000 72130000 137240000 132640000 54510000 113130000 105450000

Net bilateral aid flows from DAC donors, Switzerland (current US$) DC.DAC.CHEL.CD 0 0 0 20000 0 0 60000 30000 110000 80000 260000 80000 630000 810000 2740000 6130000 5920000 1190000 1360000 1900000 3580000 2840000 3410000 4150000 4270000 6030000 9690000 7380000 28430000 21370000 19440000 13800000 29730000 26140000 22240000 13850000 10070000 8010000 5540000 5610000 3490000 3270000 6340000 3920000 2600000 19750000 1800000 -70000 -1910000 5520000 5000000

Net bilateral aid flows from DAC donors, Germany (current US$) DC.DAC.DEUL.CD -110000 -250000 3580000 7560000 14160000 15130000 3750000 26950000 21610000 8520000 24620000 43990000 59950000 46580000 57650000 43970000 35620000 24510000 26060000 29960000 65640000 173620000 140060000 85470000 92930000 86910000 126100000 61770000 97640000 52360000 99010000 135820000 116360000 279440000 265820000 4460000 -105980000 115220000 212800000 -19470000 6380000 29920000 78390000 -91100000 -8590000 164670000 50390000 31410000 29730000 -34840000 -12600000

Net bilateral aid flows from DAC donors, Denmark (current US$) DC.DAC.DNKL.CD 0 0 0 0 0 0 0 0 160000 610000 640000 1020000 1670000 290000 820000 3900000 320000 -380000 -170000 150000 100000 6140000 50000 130000 80000 -240000 -160000 340000 640000 11120000 4860000 2240000 3740000 3990000 6180000 2210000 760000 1710000 1510000 1880000 1400000 3650000 1890000 2740000 3020000 32240000 6420000 7060000 7160000 10370000 12460000

Net bilateral aid flows from DAC donors, Spain (current US$) DC.DAC.ESPL.CD 0 0 0 0 0 0 0 0 0 70000 23160000 21490000 9490000 55430000 45340000 44390000 42410000 42120000 2110000 13840000 66120000 41350000 7850000 9680000 10890000 33720000 3920000 -16210000 9450000 3410000 -10590000

Net bilateral aid flows from DAC donors, Finland (current US$) DC.DAC.FINL.CD 0 0 0 0 10000 0 0 0 30000 180000 520000 260000 350000 940000 510000 1440000 1410000 1800000 3260000 5780000 2680000 3080000 1810000 860000 1560000 780000 580000 360000 320000 1700000 650000 410000 420000 660000 110000 8460000 5310000 5470000 1820000 2130000 1800000

Net bilateral aid flows from DAC donors, France (current US$) DC.DAC.FRAL.CD 0 0 0 0 0 0 0 22700000 18900000 17300000 14800000 28400000 12990000 24500000 30840000 36460000 26900000 12700000 30690000 24780000 43500000 43720000 27130000 66300000 34800000 20630000 39230000 37330000 57090000 108940000 122410000 126470000 168780000 113760000 107650000 88360000 28440000 12560000 24410000 21190000 21700000 26100000 44810000 57040000 -28240000 29300000 -55670000 -84030000 103530000 187130000 262490000

Net bilateral aid flows from DAC donors, United Kingdom (current US$) DC.DAC.GBRL.CD 0 0 110000 150000 90000 30000 10000 1930000 2630000 5550000 6310000 14160000 16940000 19520000 15700000 12960000 7290000 8650000 11330000 18680000 18400000 11580000 15560000 10980000 13880000 37990000 7310000 10430000 17220000 14490000 22380000 38890000 32680000 34080000 34060000 56210000 46080000 57220000 40060000 40660000 33860000 23440000 31720000 37170000 37360000 24090000 101560000 71480000 100690000 68760000 26850000

Net bilateral aid flows from DAC donors, Greece (current US$) DC.DAC.GRCL.CD 0 0 70000 30000 0 0 10000 10000 0 170000 570000 90000 50000 80000 70000

Net bilateral aid flows from DAC donors, Ireland (current US$) DC.DAC.IRLL.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 100000 0 0 0 0 20000 10000 70000 0 10000 50000 170000 70000 140000 30000 70000 0 30000 8190000 640000 410000 80000 1190000 10000

Net bilateral aid flows from DAC donors, Italy (current US$) DC.DAC.ITAL.CD -130000 -110000 1260000 720000 1980000 5520000 0 10000 31690000 34160000 18730000 50720000 -3230000 20000 -1970000 240000 10370000 -1700000 -2200000 -1430000 3270000 -1930000 -1270000 4380000 1700000 1220000 11840000 19430000 1300000 17480000 9840000 14310000 12470000 72050000 39510000 16630000 670000 -490000 -1830000 1100000 1270000 940000 2330000 3340000 -16420000 3350000 -25310000 -16950000 -19450000 -16270000 -14410000

Net bilateral aid flows from DAC donors, Japan (current US$) DC.DAC.JPNL.CD 14280000 30810000 22040000 17930000 15010000 21520000 50580000 112930000 83730000 65840000 125840000 111890000 103200000 142860000 221090000 197920000 200480000 148350000 227590000 226900000 350030000 299800000 294550000 235460000 167700000 161330000 160830000 707320000 984910000 1145270000 867780000 1065510000 1356710000 1148890000 886170000 892420000 965530000 496860000 828470000 1605840000 970100000 860070000 538300000 1141780000 -318540000 1223130000 -90250000 -222460000 -284920000 -512790000 61140000

Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) DC.DAC.KORL.CD 330000 80000 580000 2720000 7280000 6020000 1730000 2590000 2020000 15390000 19550000 9330000 3790000 23000000 14670000 30170000 16930000 18320000 18900000 28780000 18940000 27760000 24440000

Net bilateral aid flows from DAC donors, Luxembourg (current US$) DC.DAC.LUXL.CD 0 20000 20000 20000 30000 20000 0 0 250000 240000 0 0 80000 190000 30000 50000 1190000 520000 310000 500000 490000

Net bilateral aid flows from DAC donors, Netherlands (current US$) DC.DAC.NLDL.CD 21900000 25900000 37000000 0 0 0 18700000 25730000 15880000 46990000 44840000 53380000 67570000 54090000 44200000 39680000 44270000 43080000 75800000 85410000 68030000 105250000 61840000 78030000 56620000 90470000 140280000 156210000 161500000 190130000 139440000 7960000 -42580000 -48980000 -54500000 -62510000 -48780000 -44550000 71930000 143960000 119650000 127270000 76890000 -520000 175990000 75620000 42430000 75490000 81090000 34360000

Net bilateral aid flows from DAC donors, Norway (current US$) DC.DAC.NORL.CD 0 0 0 0 0 0 0 0 0 20000 30000 20000 150000 130000 180000 100000 480000 3500000 2690000 1460000 3740000 830000 4130000 1070000 1880000 1560000 4230000 630000 1990000 480000 -180000 -220000 11780000 3090000 1320000 21150000 13720000 9160000 3750000 8590000 5800000 4620000 6050000 6570000 7370000 45090000 10260000 16410000 10660000 12890000 41940000

Net bilateral aid flows from DAC donors, New Zealand (current US$) DC.DAC.NZLL.CD 0 0 1970000 2190000 3960000 7090000 4170000 2700000 2780000 2810000 3070000 4520000 4880000 4060000 2900000 1460000 2390000 2100000 2330000 2240000 3120000 2350000 2580000 2790000 3200000 3280000 3460000 4230000 3240000 3920000 2880000 2990000 4470000 4840000 6530000 13040000 8760000 13160000 12110000 5140000 6540000

Net bilateral aid flows from DAC donors, Portugal (current US$) DC.DAC.PRTL.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 40000 80000 0 0 2110000 2260000 0 90000 40000 0

Net bilateral aid flows from DAC donors, Sweden (current US$) DC.DAC.SWEL.CD 0 0 450000 490000 440000 0 0 0 0 20000 0 0 0 20000 0 0 0 0 0 320000 10000 0 0 0 0 0 0 0 0 50000 200000 390000 820000 590000 520000 1050000 1310000 610000 2970000 4070000 3740000 1580000 5940000 9120000 21600000 23900000 16440000 12150000 11580000 5940000

Net bilateral aid flows from DAC donors, Total (current US$) DC.DAC.TOTL.CD 81200000 111470000 154390000 105080000 63520000 41230000 80910000 231590000 315830000 319810000 453440000 547220000 453200000 518900000 549430000 527390000 523850000 401530000 543160000 633010000 845580000 830240000 761390000 625640000 552390000 511320000 612210000 1128830000 1506530000 1717710000 1533110000 1739240000 1880770000 1842290000 1481070000 1243670000 1038140000 783660000 1252420000 2112500000 1585450000 1396530000 1200610000 1638590000 -57860000 2332510000 758100000 524050000 647810000 446030000 1093790000

Net bilateral aid flows from DAC donors, United States (current US$) DC.DAC.USAL.CD 44000000 53000000 88000000 77000000 31000000 -2920000 26510000 44750000 122920000 151000000 186000000 227000000 158000000 158000000 82000000 91000000 127000000 102000000 142000000 181000000 117000000 103000000 72000000 80000000 61000000 43000000 46000000 36000000 22000000 31000000 31000000 18000000 -1000000 -6000000 -17000000 -7000000 -57000000 -51000000 36580000 207260000 174190000 141010000 225750000 210880000 68870000 155640000 190100000 117340000 115120000 121290000 180300000

External debt stocks, total (DOD, current US$) DT.DOD.DECT.CD 1095383000 4982261000 5863064000 7270798000 9100923000 11497813000 14010055000 16470547000 18045709000 18623753000 20937702000 22761141000 25133287000 30229381000 32025242000 36714624000 42914289000 52526345000 54053868000 59380148000 69848499000 79523030000 87978588000 89146947000 107808954000 124388680000 128988712000 136322465000 151466804000 151788595000 143655149000 132347307000 128114943000 133779579000 137487822000 141820095000 135959423000 147854466000 157906449000 179394490000 195172097000 213540848000

External debt stocks (% of GNI) DT.DOD.DECT.GN.ZS 11.2950968176 50.548813423 51.1639165557 43.0919008152 34.3846907257 36.6938312195 36.0640416799 34.6110992334 33.886874289 35.3122629749 27.989223442 25.4522042124 27.8870833934 36.9207183618 38.8184968955 44.3538838957 56.4630189385 73.0502801171 63.8317880834 61.2836908639 63.9586985699 71.620740089 72.1755422851 58.652212747 62.625312486 63.4028480743 58.2930166714 65.089039949 168.1777985936 117.3583096076 95.5678535545 92.2846789518 74.3222004974 59.2608844813 56.1057466489 52.1478258884 38.9526328234 35.6756054252 32.0875274444 34.4529306831 28.3631224099 25.9562407841

Use of IMF credit (DOD, current US$) DT.DOD.DIMF.CD 0 136091000 116300000 23114000 0 0 0 0 0 0 0 0 0 445100000 413100000 46090000 51330000 716228000 622925000 608325000 493912000 165537000 0 0 0 0 0 2970336000 9089988000 10576254000 11148904000 9413732000 9186352000 10630687000 10057237000 8148492000 359485000 377610000 368057000 3104714000 3049935000 3040508000

External debt stocks, long-term (DOD, current US$) DT.DOD.DLXF.CD 1095383000 4375373000 5164944000 6529684000 8201923000 10362813000 12627055000 14545547000 16259709000 16515753000 18162702000 19487141000 21517287000 25145281000 26204142000 30619534000 36396959000 45449818000 46703943000 50796823000 58219287000 65042693000 69921488000 71159947000 88351954000 98422380000 96758272000 100487129000 122264116000 121183261000 110818221000 102902551000 101302567000 103672145000 105406585000 122649103000 123391638000 128821457000 137050102000 152240276000 159074892000 172326980000

External debt stocks, private nonguaranteed (PNG) (DOD, current US$) DT.DOD.DPNG.CD 0 649000000 913000000 1285000000 1844000000 2369000000 2624000000 2842000000 3040000000 3140000000 3142000000 3579000000 3200000000 3652400000 3930800000 3836500000 3778400000 4571000000 5545200000 6556300000 10260500000 13176000000 16281000000 14029000000 24440950000 33123191000 36694340000 44468771000 54728300000 47264868000 41169275000 34405214000 30026378000 29753665000 33546406000 45243994000 46766267000 48506581000 49296641000 54793124000 58782824000 69775305000

External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) DT.DOD.DPPG.CD 1095383000 3726373000 4251944000 5244684000 6357923000 7993813000 10003055000 11703547000 13219709000 13375753000 15020702000 15908141000 18317287000 21492881000 22273342000 26783034000 32618559000 40878818000 41158743000 44240523000 47958787000 51866693000 53640488000 57130947000 63911004000 65299189000 60063932000 56018358000 67535816000 73918393000 69648946000 68497337000 71276189000 73918480000 71860179000 77405109000 76625371000 80314876000 87753461000 97447152000 100292068000 102551675000

External debt stocks, short-term (DOD, current US$) DT.DOD.DSTC.CD 0 470797000 581820000 718000000 899000000 1135000000 1383000000 1925000000 1786000000 2108000000 2775000000 3274000000 3616000000 4639000000 5408000000 6049000000 6466000000 6360299000 6727000000 7975000000 11135300000 14314800000 18057100000 17987000000 19457000000 25966300000 32230440000 32865000000 20112700000 20029080000 21688024000 20031024000 17626024000 19476747000 22024000000 11022500000 12208300000 18655399000 20488290000 24049500000 33047270000 38173360000

Short-term debt (% of total reserves) DT.DOD.DSTC.IR.ZS 250.6646258106 100.3044735616 88.5181368008 59.928101154 191.6168259927 91.9426965374 75.8886339411 66.7229549691 50.1286462018 40.7910754818 52.4006677857 79.251642341 94.6238641899 94.3809558079 100.9976274609 122.8198474093 89.6451711654 106.4106428182 119.0398393614 128.630774939 138.2005723981 157.2641639025 144.1952030092 146.0611022067 174.1820898889 166.169261856 187.9417691865 85.2022059799 73.2455977052 73.88708402 71.2755596734 55.023576484 53.7197639593 60.6542401734 31.7369599715 28.6599726277 32.7657067259 39.6747515852 36.3731003224 34.3487540689 34.6600113401

Short-term debt (% of exports of goods, services and income) DT.DOD.DSTC.XP.ZS 13.1602218828 16.9972736674 23.3514547468 24.4131455399 30.0362480759 40.4833458552 33.7738901869 31.4787084698 31.3840462792 37.4875437651 42.8920716726 47.5124325747 43.244217916 42.2353911609 47.8826826974 55.5725985827 50.488524288 35.4347795317 34.6938214289 29.6774910416 30.878984837 26.2504068626 27.6435996342 25.969372314 10.7789492135 10.3781170483 13.9250051317 12.9308986816 17.8511601834 18.6993007489 17.0051254094

Short-term debt (% of total external debt) DT.DOD.DSTC.ZS 0 9.4495 9.9235 9.8751 9.8781 9.8714 9.8715 11.6875 9.8971 11.3189 13.2536 14.3842 14.3873 15.346 16.8867 16.4757 15.0672 12.1088 12.445 13.4304 15.9421 18.0008 20.5244 20.1768 18.0477 20.8751 24.987 24.1083 13.2786 13.1954 15.0973 15.1352 13.758 14.5588 16.0189 7.7722 8.9794 12.6174 12.975 13.4059 16.9324 17.8764

IBRD loans and IDA credits (DOD, current US$) DT.DOD.MWBG.CD 211174000 374870000 630653000 868753000 1059384000 1264416000 1605480000 1940922000 2441849000 2898976000 3176107000 4434150000 5914558000 8256248000 8863664000 9395822000 10384701000 11426099000 11453393000 12079592000 12784569000 13258744000 11874037000 10706352000 11385830000 12106230000 12428293000 12156957000 11522949000 10658668000 9939149000 9132342000 8740862000 8370641000 8973924000 10110817000 11366849000 11993992000

Present value of external debt (current US$) DT.DOD.PVLX.CD 180032557350

Present value of external debt (% of exports of goods, services and primary income) DT.DOD.PVLX.EX.ZS 105.37778747

Present value of external debt (% of GNI) DT.DOD.PVLX.GN.ZS 26.586030829

Net financial flows, bilateral (NFL, current US$) DT.NFL.BLAT.CD 0 221430000 317928000 398351000 328844000 330585000 548734000 486122000 521087000 303444000 412494000 555359000 448746000 571594000 497968000 188224000 240137000 1181618000 1160731000 1525866000 1297156000 1934941000 2329560000 1490359000 1665435000 638976000 541550000 616005000 1375568000 1950680000 817594000 559096000 6771000 94149000 -1906499000 -668967000 -1467450000 -3187823000 -2048666000 -1102758000 5853000 -1579661000

Portfolio investment, bonds (PPG + PNG) (NFL, current US$) DT.NFL.BOND.CD 97854000 62747000 39743000 41179000 311252000 358452000 -44946000 -40377000 268578000 -102706000 -158321000 -176389000 26425000 382648000 155321000 8448000 2248137000 3743795000 3119549000 -1457760000 -2050260000 -1376400000 -405632000 -350000000 1440000000 1711203000 1565585000 1267035000 4187047000 5112499000 2329035000 1619000000

Net official flows from UN agencies, IAEA (current US$) DT.NFL.IAEA.CD 470000 560000 660000 560000 380000

Net official flows from UN agencies, IFAD (current US$) DT.NFL.IFAD.CD 0 0 470000 2730000 3590000 3510000 12080000 13230000 15550000 10780000 10090000 8640000 4390000 -2270000 420000 -970000 -30000 1620000 1670000 -3830000 -3830000 -6810000 6670000 -2780000 -1090000 -2230000 -4560000 -1440000 1700000 720000 -1520000 6850000

Net financial flows, IMF concessional (NFL, current US$) DT.NFL.IMFC.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Net financial flows, IMF nonconcessional (NFL, current US$) DT.NFL.IMFN.CD 0 -13130000 -19814000 -104884000 -45438000 40831000 0 -75900000 0 0 0 0 0 454000000 -3700000 -385320000 0 606318000 -56407000 0 -157113000 -316750000 -163012000 0 0 0 0 3029424000 5772204000 1382434000 1122671000 -1357460000 -949915000 555300000 -1004916000 -1144655000 -8037122000 0 0 0 0 0

Net financial flows, IBRD (NFL, current US$) DT.NFL.MIBR.CD 56808000 156366000 189141000 161160000 175585000 300629000 269011000 425884000 401798000 672843000 611339000 579526000 1004135000 1219195000 783428000 436363000 790016000 326560000 430382000 -55577000 89803000 -503056000 -245178000 479068000 732703000 290148000 -280029000 -706026000 -949980000 -825623000 -805217000 -706386000 -601474000 146688000 908567000 1177386000 663551000

Net financial flows, IDA (NFL, current US$) DT.NFL.MIDA.CD 26808000 32047000 59157000 76337000 106889000 99417000 48959000 29469000 29446000 40437000 66431000 75046000 55318000 49009000 32731000 12427000 8722000 -4835000 -7048000 -11159000 -13362000 -15282000 -17604000 -19876000 -20387000 -20387000 -20387000 -21073000 -12354000 33158000 12292000 59779000 63776000 94754000 40129000 288324000 192078000 466563000 212814000 110016000 -30207000

Net financial flows, multilateral (NFL, current US$) DT.NFL.MLAT.CD 0 27553000 36007000 74679000 87611000 183913000 290198000 266041000 207586000 251723000 393256000 418192000 618369000 608136000 873359000 791463000 774526000 1335564000 1699969000 1409174000 1117056000 1317873000 776320000 862780000 -34136000 488245000 -1284191000 -84943000 1380113000 1479282000 634557000 -48546000 -291550000 -908594000 -738659000 -289682000 -99702000 163346000 921542000 1110559000 1367139000 205969000

Net financial flows, others (NFL, current US$) DT.NFL.MOTH.CD 0 0 0 0 0 0 0 0 0 0 0 2022000 3708000 3880000 12237000 7760000 12557000 11756000 15477000 1663000 24088000 95117000 12066000 812000 13036000 17396000 50276000 -7703000 49529000 20995000 -10584000 -21733000 -37460000 -33856000 -36293000 -38258000 585000 0 0 0 0 -962000

Commercial banks and other lending (PPG + PNG) (NFL, current US$) DT.NFL.PCBO.CD -1887000 280001000 621827000 815168000 1090968000 1749003000 1314272000 603393000 35059000 36633000 767515000 1045697000 1089884000 2602496000 1247091000 194508000 259674000 404055000 221036000 256383000 1772051000 1585160000 2491962000 -3413554000 1481788000 59944000 3139182000 2879067000 -3140160000 -5605665000 -3018550000 -2829308000 -5869554000 -4808225000 -3439268000 -2617447000 2047298000 1218179000 3168683000 5872672000 3563115000 11338425000

Net financial flows, RDB concessional (NFL, current US$) DT.NFL.RDBC.CD 0 745000 3960000 15522000 10613000 17697000 22929000 12171000 5134000 2473000 3249000 2200000 773000 -5000 911000 4592000 1792000 29076000 58182000 57097000 107862000 14880000 36911000 45391000 35387000 40274000 22553000 16939000 -1298000 537000 17936000 10493000 8045000 36437000 36600000 48220000 75788000 100857000 24569000 88554000 66137000 38611000

Net financial flows, RDB nonconcessional (NFL, current US$) DT.NFL.RDBN.CD 0 0 0 0 661000 2519000 11486000 15770000 11823000 44219000 48941000 78528000 112958000 147145000 138359000 135041000 168224000 281875000 411950000 574034000 559902000 431222000 416065000 403799000 -7106000 361159000 -833577000 171386000 873887000 737401000 303899000 230431000 384112000 -24971000 -8097000 465444000 241987000 471885000 283722000 -99376000 13600000 -465024000

Net official flows from UN agencies, UNAIDS (current US$) DT.NFL.UNAI.CD 560000 650000 690000 1170000 520000 970000

Net official flows from UN agencies, UNICEF (current US$) DT.NFL.UNCF.CD 2520000 4280000 2540000 3240000 7610000 3910000 3510000 2980000 4190000 7050000 10780000 13050000 13030000 9590000 11430000 7560000 9250000 10530000 11890000 11250000 9980000 11270000 14760000 13780000 11750000 13190000 13920000 10930000 7100000 7730000 6730000 5130000 5090000 5590000 5530000 6360000 7650000 5500000 5230000 6290000 6910000

Net official flows from UN agencies, UNHCR (current US$) DT.NFL.UNCR.CD 0 0 0 0 0 0 0 0 0 0 16670000 9550000 3800000 7000000 4530000 3600000 3230000 2470000 2870000 1680000 1980000 3990000 6370000 4070000 2960000 1960000 420000 580000 730000 470000 870000 1140000 6090000 5760000 5920000 0 1010000 240000 1080000 980000 930000 960000

Net official flows from UN agencies, UNDP (current US$) DT.NFL.UNDP.CD 3200000 2680000 4050000 4440000 4500000 6680000 7970000 11620000 8420000 7640000 12450000 10900000 13010000 15300000 17780000 16870000 16290000 14260000 15630000 21150000 20590000 19080000 11580000 13680000 12580000 11480000 11660000 10380000 8860000 8090000 4930000 4130000 3150000 3820000 4110000 5890000 7840000 8150000 9600000 8040000 5800000 4300000 5520000

Net official flows from UN agencies, UNECE (current US$) DT.NFL.UNEC.CD

Net official flows from UN agencies, UNFPA (current US$) DT.NFL.UNFP.CD 1530000 0 6150000 5180000 2620000 2600000 2350000 4090000 2230000 3250000 4100000 5280000 2150000 3620000 2640000 2130000 5260000 850000 2860000 2290000 5390000 4070000 2500000 6780000 6150000 4480000 3340000 4290000 4320000 5020000 5360000 5610000 6270000

Net official flows from UN agencies, UNPBF (current US$) DT.NFL.UNPB.CD 0 0 0 0

Net official flows from UN agencies, UNRWA (current US$) DT.NFL.UNRW.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Net official flows from UN agencies, UNTA (current US$) DT.NFL.UNTA.CD 740000 840000 1010000 1260000 1150000 1570000 1550000 1760000 2150000 2400000 2140000 380000 3200000 3120000 4040000 2720000 4550000 3630000 5140000 3650000 5230000 4310000 6650000 5780000 8650000 6040000 12930000 3670000 6590000 3960000 6650000 6630000 6410000 7110000 6780000 6880000 9350000 5480000 6750000 1110000 0 0

Net official flows from UN agencies, WFP (current US$) DT.NFL.WFPG.CD 640000 370000 740000 1420000 8180000 6950000 17620000 6220000 5960000 6830000 12220000 4630000 12310000 7850000 15990000 10050000 4420000 8980000 5240000 2680000 7600000 7960000 7630000 14740000 3560000 5600000 1170000 0 0 1940000 50000 10000 240000 380000 20000 620000 7570000 67070000 20000 560000 2740000 460000

Net official flows from UN agencies, WHO (current US$) DT.NFL.WHOL.CD

Net official development assistance and official aid received (current US$) DT.ODA.ALLD.CD 83080000 113800000 157730000 108150000 66900000 42870000 82930000 229440000 326030000 328680000 465080000 585240000 498920000 612830000 660540000 686670000 666630000 512920000 631060000 718910000 945910000 971870000 901770000 742220000 670680000 601470000 709110000 1244160000 1630260000 1835460000 1715860000 1824480000 1969230000 1931720000 1548420000 1301190000 1070620000 805520000 1254140000 2122660000 1653000000 1464810000 1304650000 1771570000 131870000 2533990000 1318320000 903880000 1230620000 1046530000 1392510000

Net official development assistance and official aid received (constant 2010 US$) DT.ODA.ALLD.KD 831720000 1157460000 1411170000 802060000 552340000 463820000 765960000 2074150000 2493210000 2271760000 3154710000 3605200000 2730790000 2879690000 2877660000 2696310000 2487850000 1708460000 1766370000 1878580000 2335630000 2409770000 2352020000 1923410000 1784630000 1620510000 1517420000 2145130000 2521830000 2931500000 2643600000 2622280000 2602490000 2454890000 1867590000 1457250000 1254300000 1061750000 1704210000 2609660000 2184000000 2068420000 1856830000 2246420000 201520000 3030820000 1504200000 919330000 1207280000 1111630000 1392510000

Net official aid received (current US$) DT.ODA.OATL.CD

Net official aid received (constant 2010 US$) DT.ODA.OATL.KD

Net official development assistance received (current US$) DT.ODA.ODAT.CD 83080000 113800000 157730000 108150000 66900000 42870000 82930000 229440000 326030000 328680000 465080000 585240000 498920000 612830000 660540000 686670000 666630000 512920000 631060000 718910000 945910000 971870000 901770000 742220000 670680000 601470000 709110000 1244160000 1630260000 1835460000 1715860000 1824480000 1969230000 1931720000 1548420000 1301190000 1070620000 805520000 1254140000 2122660000 1653000000 1464810000 1304650000 1771570000 131870000 2533990000 1318320000 903880000 1230620000 1046530000 1392510000

Net ODA received (% of gross capital formation) DT.ODA.ODAT.GI.ZS 41.1771406415 42.6313492754 27.5101812863 30.4207002242 32.3398880704 19.6822917248 17.1511733359 12.427253652 9.0261172631 7.0320337066 4.5323687749 4.8652713191 5.2533676625 5.0377505969 3.937077935 3.4301206808 2.7758645883 2.8527965728 2.4632547998 2.9977327732 5.4268953866 6.3656242199 5.5556257755 4.8895207331 4.5113404362 4.6444432339 4.1472862315 2.8184907363 2.0161923692 1.5342097061 1.1758903882 7.8330112865 13.3378865493 4.5028511472 4.0505132918 3.1152596236 2.9477908737 0.2134315408 3.5341622977 1.4236454811 0.8391820989 0.8670559022 0.6259529302 0.6037714027

Net ODA received (% of GNI) DT.ODA.ODAT.GN.ZS 3.8055465545 4.3417133402 3.7112354028 4.7956957776 5.9377032973 4.3538158969 3.6320648128 2.4956219948 2.1914213671 1.7160084029 1.0778467175 1.1850269163 1.3631161762 1.2644790888 1.086774767 1.0005748628 0.9065119654 0.8129459099 0.7266186506 0.9329874103 1.7302981296 1.925161227 1.894299139 1.571174386 1.6431794397 1.6155094821 1.2709313804 0.8994641239 0.6632368145 0.4838382254 0.3846066271 1.3925064685 1.641175936 1.0996728139 1.021399858 0.7568551849 0.7847595717 0.0538132374 0.9317584319 0.377701183 0.2180959906 0.2500692864 0.2009873634 0.2023646423

Net official development assistance received (constant 2010 US$) DT.ODA.ODAT.KD 831720000 1157460000 1411170000 802060000 552340000 463820000 765960000 2074150000 2493210000 2271760000 3154710000 3605200000 2730790000 2879690000 2877660000 2696310000 2487850000 1708460000 1766370000 1878580000 2335630000 2409770000 2352020000 1923410000 1784630000 1620510000 1517420000 2145130000 2521830000 2931500000 2643600000 2622280000 2602490000 2454890000 1867590000 1457250000 1254300000 1061750000 1704210000 2609660000 2184000000 2068420000 1856830000 2246420000 201520000 3030820000 1504200000 919330000 1207280000 1111630000 1392510000

Net ODA received (% of imports of goods and services) DT.ODA.ODAT.MP.ZS 3.7824783996 3.3733727368 2.8201991033 2.7742709411 2.7154401806 3.5205540661 5.8722801718 7.0816211285 6.83394147 5.1823014195 4.8144395187 4.7616548989 4.3667518141 3.1294488571 2.1109164355 1.6076099524 1.134263627 2.3169398174 3.9409470521 2.4707285548 2.4623405251 2.1365907739 2.7586581222 0.1562747961 2.3732075212 1.1808819605 0.7029604709 0.7518320914 0.8133353738 0.7902290905

Net ODA received per capita (current US$) DT.ODA.ODAT.PC.ZS 0.9035678226 1.2077375307 1.633115968 1.0922231189 0.6588614596 0.4116309172 0.7762087643 2.0931870948 2.8990492162 2.8486971059 3.9293102653 4.8205293863 4.0071403109 4.8003994414 5.0475518216 5.1203553824 4.8523797591 3.6457964462 4.3815480905 4.8771509309 6.2717791012 6.2995773617 5.7161442519 4.6030379331 4.0719600857 3.577639959 4.135419038 7.1189486683 9.1584141729 10.1295887685 9.3078264122 9.7330620458 10.3364903083 9.9817260397 7.8804633632 6.5255154857 5.2933633623 3.9281496985 6.0341815934 10.0785916101 7.7461834453 6.7751447445 5.9565888335 7.9858281156 0.587115608 11.1480624941 5.7338566949 3.8882956682 5.2377695493 4.4080290885 5.8052468441

Net ODA received (% of central government expense) DT.ODA.ODAT.XP.ZS 13.9214387152 13.1350160948 11.4154703879 8.9193796886 6.775324104 4.7449636297 2.9780829764 9.9698057269 9.370179348 4.3318870472 4.9344885715 0.32418591 5.3606730936 2.0311315981 1.2189641962 1.3075692045 1.2315101424 1.3639363734

Debt service on external debt, total (TDS, current US$) DT.TDS.DECT.CD 4596000 235690000 323171000 549852000 741793000 1060245000 1340039000 2057224000 2832918000 3064726000 3084303000 3492124000 3856131000 3741249000 4846087000 5822696000 5983760000 7001329000 8641907000 9832537000 9945737000 11469027000 12454820000 14086664000 14264883000 16418453000 21545038000 19738959000 18311943000 17679123000 16637729000 15482978000 16881606000 18479803000 20500576000 20258166000 28319638000 23960624000 21377183000 24897916000 29342342000 31240472000

Total debt service (% of exports of goods, services and income) DT.TDS.DECT.EX.ZS 14.0369965431 18.1260270753 18.8324222289 21.8765213073 28.9125378619 37.4640621087 37.1778302889 40.4394337857 38.6940183385 33.4828204956 34.3651555103 32.7715300618 33.8670577487 30.9648411045 30.2761492928 37.1485387175 30.3237763849 32.2621857335 30.6232905546 22.7667607408 23.8679082454 25.141746431 26.2286240844 24.173042626 20.8809976966 25.19043536 18.8172444717 14.1381556693 19.3885871822 17.39459702 14.5012607133

Total debt service (% of GNI) DT.TDS.DECT.GN.ZS 0.0473918848 2.3912536569 2.8201455889 3.2588125605 2.8026083604 3.3836392261 3.449466997 4.323036995 5.319754194 5.8109882824 4.1230525599 3.9049998936 4.2786383959 4.5693823718 5.8740481388 7.0342319819 7.872929089 9.7370004451 10.205160087 10.1477375556 9.1070875387 10.3293373233 10.2176382686 9.268001223 8.2863502734 8.3687412808 9.736706723 9.4246380514 20.332258821 13.6689583998 11.068395805 10.7961520815 9.7933783247 8.1860735323 8.3658327442 7.4490100531 8.1136300549 5.7814267684 4.3439704365 4.7816751457 4.2641363737 3.7973306806

Debt service (PPG and IMF only, % of exports, excluding workers' remittances) DT.TDS.DPPF.XP.ZS 8.1964948951 10.511098054 12.7557082452 14.7232168653 21.8103977357 29.3999499123 30.2630044605 32.9686803931 30.5652552044 25.6219263399 23.7446095763 21.9529482963 21.4481968553 19.0845728054 17.5003522101 20.2584788868 13.7010584693 12.8887974141 16.655101807 11.127564868 13.6797238266 13.6275139482 12.7174827806 13.6285223634 9.3980545827 14.7682502142 8.0557555581 5.8063646798 7.3133878861 5.0174462526

Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$) DT.TDS.DPPG.CD 4596000 104681000 140415000 207968000 291995000 523916000 761039000 1262324000 2064918000 2103726000 1763303000 2039124000 2236131000 2524099000 3228217000 3987606000 4691830000 5677151000 6947864000 7715739000 7394736000 7576614000 8175298000 8921163000 8791881000 9490266000 11749310000 8918567000 7133893000 9249321000 7605836000 6651881000 6512098000 7426164000 10297826000 8152817000 9043414000 10792336000 9200546000 9865053000 8879436000 9779860000

Public and publicly guaranteed debt service (% of GNI) DT.TDS.DPPG.GN.ZS 0.0473918848 1.0620680727 1.2253288286 1.2325657278 1.1032021443 1.6720123451 1.9590317251 2.6526393585 3.8775764744 3.9888483132 2.3571584724 2.280210841 2.4811387255 3.0828136473 3.9129924949 4.8173124024 6.1731160487 7.8954184004 8.2046780164 7.9630815953 6.7711933341 6.8237176331 6.7068201469 5.869476946 5.1071295522 4.8373364311 5.3097880666 4.2582927454 7.9209595004 7.1512927409 5.0598494107 4.6383014239 3.7778064126 3.2895980854 4.202315581 2.9978239784 2.5909552809 2.6040682515 1.8696055427 1.894595465 1.2903920902 1.1887580453

Public and publicly guaranteed debt service (% of exports, excluding workers' remittances) DT.TDS.DPPG.XP.ZS 8.1964948951 10.511098054 12.7056226719 14.5730272662 19.8004171011 29.3753443526 30.146298853 32.5122321011 30.3637755303 24.8947481821 22.7021453826 21.5111116958 21.4481968553 19.0845728054 17.5003522101 20.2584788868 13.7010584693 12.5685723775 16.0214194118 10.4076853545 10.2542602184 9.6984562162 10.5400508839 12.1425752551 7.9726741112 7.6876886224 8.0557555581 5.8067963769 7.3225073836 5.0242953274 4.3566441567

Multilateral debt service (TDS, current US$) DT.TDS.MLAT.CD 0 155000 384000 893000 1515000 4213000 9238000 37863000 71849000 112458000 145140000 183014000 256659000 316968000 383669000 489369000 786054000 1032716000 1272709000 1385610000 1666554000 1878040000 2073824000 2281237000 3282873000 2691754000 4217865000 2690851000 2027596000 2306079000 2498761000 2531319000 2784476000 2931058000 2852203000 2821883000 2807708000 2832154000 2709064000 2493611000 2332892000 2248782000

Multilateral debt service (% of public and publicly guaranteed debt service) DT.TDS.MLAT.PG.ZS 0.148068895 0.2734750561 0.4293929835 0.5188445008 0.804136541 1.2138668321 2.9994676486 3.4795086294 5.3456581323 8.2311434847 8.9751285356 11.477815924 12.557669093 11.8848578023 12.2722505684 16.753676071 18.1907439136 18.3179895289 17.9582279805 22.537031748 24.7873258424 25.3669529845 25.5710718434 37.3398252319 28.3633145794 35.8988315059 30.1713380636 28.4220130579 24.9324139577 32.8532064062 38.0541834708 42.7585088554 39.4693411026 27.6971372404 34.6123677252 31.0469917666 26.2422704408 29.4446003531 25.2772184802 26.2729749953 22.9940101392

Agriculture value added per worker (constant 2000 US$) EA.PRD.AGRI.KD 449.807084493 461.4537710268 455.4879928065 455.7489937735 468.4479064463 480.0048618479 450.7781515192 447.7818992323 457.0343063639 487.3282595425 492.7884959695 489.68718133 514.9135791969 520.3094294167 518.5539872896 530.3155991939 536.9412153213 538.9440321265 534.6182332015 523.2577086709 531.5357954726 548.0392073952 566.7891413259 584.621129982 597.9048307406 611.3911721802 639.7088307769 652.1617182718 682.8915016876 709.6946452073 730.0130066562

Water pollution, clay and glass industry (% of total BOD emissions) EE.BOD.CGLS.ZS 3.50944 3.59607 3.90819 3.99337

Water pollution, chemical industry (% of total BOD emissions) EE.BOD.CHEM.ZS 12.91518 11.89353 12.04421 13.53567 13.15551 13.12885 12.61799 13.04369 11.99822

Water pollution, food industry (% of total BOD emissions) EE.BOD.FOOD.ZS 20.96202 19.89326 19.90442 19.85632 20.81878 21.71315 22.81393 21.52523 23.10878

Water pollution, metal industry (% of total BOD emissions) EE.BOD.MTAL.ZS 1.40621 1.39972 1.43729 1.65974 1.35397 1.31883 1.32603 1.33831 1.3804

Water pollution, other industry (% of total BOD emissions) EE.BOD.OTHR.ZS 18.98535 19.38947 19.3029 18.82698 18.663 18.11637 18.67681 19.80799 19.91532

Water pollution, paper and pulp industry (% of total BOD emissions) EE.BOD.PAPR.ZS 4.36571 3.79012 3.94472 3.86134 3.73951 3.79333 3.75373 3.99829 4.05052

Organic water pollutant (BOD) emissions (kg per day) EE.BOD.TOTL.KG 721773.6 719264.7 747562.8 752137.6 718931.7 731009.3 749807.2 764028.2 882985.4

Water pollution, textile industry (% of total BOD emissions) EE.BOD.TXTL.ZS 31.14417 33.41748 33.99936 32.67336 32.75858 30.44515 29.44012 28.98528 29.24901

Water pollution, wood industry (% of total BOD emissions) EE.BOD.WOOD.ZS 10.22135 10.21643 9.3671 9.58659 9.51066 7.97486 7.77531 7.39303 6.30437

Organic water pollutant (BOD) emissions (kg per day per worker) EE.BOD.WRKR.KG 0.1836406 0.1780564 0.1791612 0.1796165 0.1819151 0.1824113 0.1855565 0.1809292 0.1866375

Energy production (kt of oil equivalent) EG.EGY.PROD.KT.OE 71730.754 81683.665 94886.647 97022.68 94304.981 105659.843 118118.546 119761.756 121392.186 125048.813 127378.594 114174.089 117085.612 133939.355 127975.188 136332.107 136870.299 139569.773 149102.31 168508.653 183105.775 187335.07 194227.155 207453.244 214479.23 222666.173 227601.172 229070.799 238015.443 236617.616 241564.258 248016.314 254879.023 264873.662 279941.002 313988.601 318303.736 323631.952 351828.268 381445.704

Access to electricity (% of population) EG.ELC.ACCS.ZS 64.5

Electricity production from coal sources (kWh) EG.ELC.COAL.KH 0 0 0 0 0 0 0 339000000 4687000000 6337000000 6857000000 8251000000 9768000000 11046000000 11362000000 10681000000 12805000000 14367000000 17038000000 20816000000 24170000000 29365000000 34002000000 37713000000 42929000000 46459000000 48211000000 51793000000 58630000000 63817000000 61392000000 65754000000 68114000000

Electricity production from coal sources (% of total) EG.ELC.COAL.ZS 0 0 0 0 0 0 0 2.4045963967 24.0272722612 27.5821545158 27.2092377287 29.7698080531 29.9017356966 29.5822174612 27.3697395996 23.5264317181 24.9328244869 24.2714510162 25.1579942118 27.8933897919 30.97209052 34.179130536 36.4339673185 37.245935963 39.6693680291 40.5875980641 40.1213351864 40.6634215278 44.0469393275 44.8672970788 41.0821951725 41.9352164236 40.1177960362

Electricity production from oil, gas and coal sources (% of total) EG.ELC.FOSL.ZS 55.979498861 66.9504256385 56.5400843882 58.4188521475 60.1003344482 57.1764705882 64.126574104 71.8068853127 76.8746976294 82.071447614 81.0735447891 86.7953083617 83.2782824112 82.8586110703 77.2024400624 73.0250679243 77.471164309 75.0287686997 72.2362534276 79.0828665014 79.4429566149 76.1616842917 80.2246696035 84.343237665 83.5369047016 84.4693166381 89.660578611 84.2346036546 85.876738637 84.043932494 82.5251348095 85.0467116996 86.5392343578 86.3934821867 86.3774829238 87.7445382697 87.1037367736 86.6940583657 86.7715993087 84.0221456548

Electricity production from hydroelectric sources (kWh) EG.ELC.HYRO.KH 773000000 660000000 1030000000 1094000000 1193000000 1092000000 1111000000 1384000000 1434000000 1345000000 1629000000 1318000000 1816000000 2118000000 2990000000 5030000000 4457000000 5281000000 6688000000 5708000000 6627000000 8812000000 7884000000 6102000000 7530000000 8161000000 5106000000 9681000000 9401000000 10016000000 11655000000 9933000000 9099000000 9674000000 10725000000 9623000000 11286000000 11528000000 11384000000 17676000000

Electricity production from hydroelectric sources (% of total) EG.ELC.HYRO.ZS 44.020501139 33.0495743615 43.4599156118 41.5811478525 39.8996655518 42.8235294118 35.873425896 28.1931146873 23.1253023706 17.928552386 18.9264552109 12.4668936814 14.9958711808 15.5483776244 21.2086820826 25.7856154201 19.3993471164 20.9555176382 24.1304661567 17.4732910889 17.7477236208 21.2270854913 17.3656387665 11.8813037891 12.7210987786 12.050380958 6.8420276844 12.405494759 10.9422103242 10.7323868203 11.5106563691 9.1787796742 7.9490853179 8.0507310903 8.4203501609 7.2294678006 7.9347558618 7.7142876262 7.2602503842 10.4108136761

Electric power transmission and distribution losses (kWh) EG.ELC.LOSS.KH 64000000 73000000 405000000 186000000 187000000 94000000 114000000 443000000 630000000 694000000 716000000 1083000000 1666000000 2082000000 939000000 4007000000 5057000000 4285000000 3210000000 3183000000 4491000000 5029000000 4777000000 4809000000 7277000000 8313000000 7431000000 9920000000 11435000000 10745000000 13024000000 17471000000 19985000000 14242000000 14237000000 14736000000 15239000000 15094000000 15048000000 15954000000

Electric power transmission and distribution losses (% of output) EG.ELC.LOSS.ZS 3.6446469248 3.6554832248 17.0886075949 7.0695553022 6.254180602 3.6862745098 3.6809815951 9.0242411897 10.1596516691 9.2508664356 8.3188102707 10.2440408627 13.7572254335 15.2840992512 6.6605192226 20.5413441329 22.0108813928 17.0032935201 11.5817578294 9.7437781247 12.0273165506 12.1142774553 10.5220264317 9.3636823864 12.2936833747 12.2748213336 9.9575220765 12.7117558113 13.3096665309 11.5135279936 12.8627017204 16.1444135395 17.4593329023 11.8522340488 11.1776713512 11.0707094991 10.7139592927 10.1005775009 9.5969999809 9.3965898048

Electricity production from natural gas sources (kWh) EG.ELC.NGAS.KH 0 0 0 0 0 0 11000000 0 4000000 0 0 0 73000000 156000000 274000000 383000000 393000000 661000000 804000000 734000000 1051000000 1076000000 4844000000 18716000000 25401000000 29208000000 29953000000 27199000000 29167000000 26090000000 26220000000 23845000000 24409000000 19629000000 19086000000 19448000000 22372000000 25212000000 34763000000 40038000000

Electricity production from natural gas sources (% of total) EG.ELC.NGAS.ZS 0 0 0 0 0 0 0.3551824346 0 0.0645057249 0 0 0 0.602807597 1.145206284 1.9435380905 1.9633977547 1.710554951 2.6229117892 2.9008514937 2.2469158478 2.8146759507 2.5919591453 10.6696035242 36.4422290588 42.9121686686 43.1279900774 40.1369477535 34.8535328942 33.9486701973 27.956067506 25.8952732732 22.0344308196 21.3242360177 16.3353112023 14.9846902724 14.6106920696 15.7288993567 16.8713237016 22.1704220052 23.5815884795

Electricity production from nuclear sources (kWh) EG.ELC.NUCL.KH 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Electricity production from nuclear sources (% of total) EG.ELC.NUCL.ZS 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Electricity production from oil sources (kWh) EG.ELC.PETR.KH 983000000 1337000000 1340000000 1537000000 1797000000 1458000000 1975000000 3525000000 4763000000 6157000000 6978000000 9176000000 10012000000 11131000000 10271000000 9175000000 11069000000 11390000000 10966000000 15332000000 17567000000 19179000000 20897000000 11796000000 9680000000 10960000000 16142000000 14366000000 15249000000 18342000000 19627000000 25261000000 28190000000 35973000000 39140000000 38717000000 37703000000 42949000000 35540000000 34505000000

Electricity production from oil sources (% of total) EG.ELC.PETR.ZS 55.979498861 66.9504256385 56.5400843882 58.4188521475 60.1003344482 57.1764705882 63.7713916694 71.8068853127 76.8101919045 82.071447614 81.0735447891 86.7953083617 82.6754748142 81.7134047864 72.8543055753 47.0343979084 48.1784548422 45.1966191818 39.5655938808 46.934214957 47.046063203 46.1999855467 46.0286343612 22.9681841193 16.3532850168 16.1833323489 21.6302410656 18.4089802404 17.7489379037 19.6538976694 19.3839255733 23.342912851 24.6274002761 29.936835798 30.7293711235 29.0869068726 26.5075403382 28.7405394916 22.6659608799 20.3227611391

Electricity production (kWh) EG.ELC.PROD.KH 1756000000 1997000000 2370000000 2631000000 2990000000 2550000000 3097000000 4909000000 6201000000 7502000000 8607000000 10572000000 12110000000 13622000000 14098000000 19507000000 22975000000 25201000000 27716000000 32667000000 37340000000 41513000000 45400000000 51358000000 59193000000 67724000000 74627000000 78038000000 85915000000 93325000000 101254000000 108217000000 114466000000 120163000000 127370000000 133108000000 142235000000 149437000000 156799000000 169785000000

Electricity production from renewable sources (kWh) EG.ELC.RNEW.KH 773000000 660000000 1030000000 1094000000 1193000000 1092000000 1111000000 1384000000 1434000000 1345000000 1629000000 1396000000 2025000000 2335000000 3214000000 5262000000 5176000000 6293000000 7695000000 6833000000 7676000000 9896000000 8978000000 8041000000 9745000000 10518000000 7716000000 12303000000 12134000000 14891000000 17694000000 16182000000 15408000000 16350000000 17351000000 16313000000 18343000000 19884000000 20742000000 27128000000

Electricity production from renewable sources, excluding hydroelectric (kWh) EG.ELC.RNWX.KH 0 0 0 0 0 0 0 0 0 0 0 78000000 209000000 217000000 224000000 232000000 719000000 1012000000 1007000000 1125000000 1049000000 1084000000 1094000000 1939000000 2215000000 2357000000 2610000000 2622000000 2733000000 4875000000 6039000000 6249000000 6309000000 6676000000 6626000000 6690000000 7057000000 8356000000 9358000000 9452000000

Electricity production from renewable sources, excluding hydroelectric (% of total) EG.ELC.RNWX.ZS 0 0 0 0 0 0 0 0 0 0 0 0.7377979569 1.7258464079 1.5930113052 1.588877855 1.1893166556 3.1294885745 4.0157136622 3.6332804156 3.4438424098 2.8093197643 2.611230217 2.40969163 3.7754585459 3.7419965199 3.4803024039 3.4973937047 3.3599015864 3.1810510388 5.2236806858 5.9642088214 5.7745086262 5.5116803243 5.555786723 5.2021669153 5.0259939297 4.9615073646 5.591654008 5.9681503071 5.5670406691

GDP per unit of energy use (PPP $ per kg of oil equivalent) EG.GDP.PUSE.KO.PP 1.7098844457 1.9218225036 2.0115316698 2.2269806618 2.3830162204 2.4542979535 2.4103260195 2.5297145397 2.710281201 2.9031811352 2.7112710308 2.9110825483 3.0573943796 3.0508303924 3.3433299413 3.3622171863 3.5542801624 3.669588895 3.304775227 3.2244504583 3.2010357513 3.302275537 3.3832373109 3.6206629258 3.6462919919 3.9064529905 4.1423684635 4.5502860734 4.8715777456 4.8625304035 4.9667098742

GDP per unit of energy use (constant 2005 PPP $ per kg of oil equivalent) EG.GDP.PUSE.KO.PP.KD 3.5812734241 3.6802424173 3.6308155988 3.8667506765 3.9879046953 3.9854777224 3.8284692493 3.9037249354 4.0416220427 4.172218785 3.7540458214 3.8982304588 4.0096991479 3.9152531921 4.2050143945 4.1326260218 4.2926859815 4.3481283929 3.8616077353 3.7133008606 3.6082633265 3.639863423 3.6695132032 3.8460136288 3.7673220098 3.9064529905 4.0129126433 4.2838874832 4.4871426898 4.4206157699 4.4836582959

Energy imports, net (% of energy use) EG.IMP.CONS.ZS -104.6339911488 -123.8579836102 -148.6617403399 -145.2457832262 -129.2519939008 -145.7160050844 -147.2270513929 -134.2123763116 -126.8318462589 -124.4565412202 -117.2545250474 -90.0198830537 -91.3585240146 -110.6537209051 -94.3910351103 -87.7296713031 -82.5028498424 -81.1622107552 -83.1504919486 -70.8620660914 -76.9924384758 -73.7153521065 -63.9695947984 -74.9085091883 -63.953192602 -64.250599899 -62.4255328083 -67.1202718313 -65.6663133145 -52.5301448939 -51.5605660287 -50.1215526286 -54.3189759061 -49.5646501838 -55.0822496658 -69.367542885 -72.3531497872 -73.1405144311 -77.2308734326 -83.520920336

Alternative and nuclear energy (% of total energy use) EG.USE.COMM.CL.ZS 0.1896488982 0.1555534898 0.232134422 0.2378176347 0.2494120228 0.218395947 0.1999817696 0.232769582 0.2304416086 0.2076220278 0.2389416815 0.4118442339 0.8425418575 0.8732703534 0.9756023242 1.1449391394 2.1594705538 2.8480272303 2.8332782457 2.459038202 2.2942861277 2.4310199578 2.1545445903 3.2474838124 3.3996758305 3.500744481 3.5097215106 3.8900950538 3.8274091748 5.9518040111 7.1348093606 7.0090084136 7.0258548243 6.9318301463 6.8012375136 6.6212582992 7.0620227162 8.1733781622 8.543713145 8.4716404807

Fossil fuel energy consumption (% of total) EG.USE.COMM.FO.ZS 24.6718302091 26.8778836043 29.2229327739 31.5055031158 32.6164161818 34.4408096799 39.8382288011 42.5608299351 44.1508830091 45.4731352766 47.0778218972 47.12385574 46.6574538524 47.7023889276 48.559278599 52.4349110818 52.1761600543 51.8474915178 53.5964733156 53.4349096207 54.8149288752 55.7049153725 59.0786705357 57.4727878612 60.5946894432 61.5105168774 62.0448752603 60.6617017521 62.1717423624 62.3853327515 61.6827561617 62.744787431 62.5097521393 64.6242916444 65.3004553271 65.5735031495 65.0041183147 63.9066279911 65.0014608282 65.5291392791

Energy use (kg of oil equivalent) per $1,000 GDP (constant 2005 PPP) EG.USE.COMM.GD.PP.KD 279.2302853166 271.7212310001 275.4202114613 258.6150708053 250.7582493588 250.9109496139 261.2010009437 256.165589672 247.4254122334 239.6806235558 266.3792738745 256.5266498632 249.3952695972 255.4113235947 237.8113143472 241.976891865 232.9543796864 229.9840091267 258.9594978453 269.3021754862 277.1416356069 274.7355831204 272.5157111077 260.0094790359 265.4405430182 255.9866975049 249.1955566639 233.4328349942 222.858970425 226.2128291749 223.0321612425

Energy use (kt of oil equivalent) EG.USE.COMM.KT.OE 35053.196 36489.056 38158.925 39561.406 41135.948 43000.798 47777.355 51133.829 53516.377 55711.815 58631.043 60085.338 61186.515 63582.715 65833.894 72621.502 74996.253 77041.328 81409.724 98622.624 103454.01 107840.25 118453.153 118606.719 130817.355 135564.907 140126.474 137069.427 143671.6 155128.428 159384.637 165210.331 165163.76 177096.434 180511.311 185388.886 184681.125 186918.673 198514.097 207848.622

Combustible renewables and waste (metric tons of oil equivalent) EG.USE.CRNW.KT.OE 26338.453 26624.811 26919.189 27003.301 27616.278 28097.063 28648.156 29251.824 29765.101 30262.235 30888.732 31523.353 32122.923 32696.993 33223.151 33711.009 34246.566 34903.176 35470.421 43498.547 44372.238 45146.311 45920.479 46588.397 47101.618 47432.451 48267.129 48588.649 48849.562 49118.102 49700.01 49969.854 50316.138 50373.092 50359.599 51547.822 51588.566 52187.683 52516.56 54039.02

Combustible renewables and waste (% of total energy) EG.USE.CRNW.ZS 75.1385208926 72.9665656464 70.5449354247 68.2566767218 67.1341717954 65.3407943732 59.9617873363 57.2064024386 55.6186772509 54.3192409007 52.6832381269 52.4643016904 52.5000042902 51.4243422918 50.4651160389 46.4201484018 45.6643693919 45.3044838479 43.5702508953 44.1060531912 42.8907859637 41.8640637424 38.766784874 39.2797283264 36.0056339619 34.9887386416 34.4454032291 35.4482031941 34.0008477667 31.6628632374 31.1824344777 30.2462041554 30.4643936418 28.44387708 27.8983066053 27.8052385514 27.9338595105 27.9199943817 26.4548265305 25.9992197591

Electric power consumption (kWh) EG.USE.ELEC.KH 1692000000 1924000000 1965000000 2445000000 2803000000 2456000000 2983000000 4466000000 5571000000 6808000000 7891000000 9489000000 10444000000 11540000000 13159000000 15500000000 17918000000 20916000000 24506000000 29484000000 32849000000 36484000000 40623000000 46549000000 51916000000 59411000000 67196000000 68118000000 74480000000 82580000000 88230000000 90746000000 94481000000 105921000000 113133000000 118372000000 126996000000 134343000000 141751000000 153832000000

Electric power consumption (kWh per capita) EG.USE.ELEC.KH.PC 13.9367365894 15.4528540811 15.3921722211 18.6835985766 20.9013880565 17.877150276 21.202937688 31.0081351571 37.7941715038 45.1398887007 51.148780147 60.1489213509 64.7707258943 70.0638447375 78.2718410244 90.3935850414 102.5248539088 117.5011291703 135.2444086832 159.9384296716 175.2397149561 191.504553763 209.9101613653 236.9045149861 260.3606406105 293.7400858518 327.6839149136 327.7436185585 353.638125335 386.9811427201 408.0877525484 414.3154181461 425.8985115956 471.5846842405 497.7185206498 514.8431979261 546.3092409191 571.7911902659 597.0612704165 641.3115399637

Energy use (kg of oil equivalent per capita) EG.USE.PCAP.KG.OE 288.7276355018 293.0665581733 298.9052139303 302.3106048388 306.74220914 313.0015178472 339.5978146033 355.0301569042 363.0599767722 369.3926451845 380.0413544791 380.8692454109 379.4614124369 386.0354828202 391.5905528678 423.5172849593 429.120430993 432.7999155088 449.2862965576 534.9866915159 551.8965942178 566.0535838707 612.0798675739 603.6320273 656.0538244622 670.2605143943 683.3322159557 659.4971960234 682.1664243809 726.9529708865 737.1973059511 754.2942649849 744.5200575092 788.4741071933 794.1433770118 806.3241892356 794.4581341999 795.5639707137 836.1498610268 866.5018972265

CO2 intensity (kg per kg of oil equivalent energy use) EN.ATM.CO2E.EG.ZS 1.1122393519 1.1877608727 1.287618375 1.2957323357 1.3118348944 1.4374373238 1.7253814072 1.8370201066 1.776957192 1.7013377862 1.7083175205 1.7543034376 1.715359569 1.7643872395 1.8416909685 1.6763731078 1.6450494933 1.7154733755 1.6087378579 1.5165478562 1.7373001878 1.8784830432 1.8454626615 1.8667868217 1.7195051375 1.8684089902 1.9886249118 1.5336080379 1.6843203319 1.6980700984 1.8502879547 1.8566467009 1.9180486688 1.9065056838 1.8945724349 1.8615986775 2.0334769132 2.2068269391 2.2758168857

CO2 emissions from gaseous fuel consumption (kt) EN.ATM.CO2E.GF.KT 4671.758 4932.115 5196.139 5375.822 5247.477 6061.551 6076.219 6127.557 6314.574 5001.788 2302.876 2713.58 1998.515 3146.286 3274.631 5111.798 5647.18 6629.936 7876.716 7389.005 12174.44 13410.219 15529.745 13659.575 24407.552 27095.463 22885.747 27033.124 23391.793 24975.937 44099.342 43530.957 52416.098 57707.579 60358.82 64627.208 79056.853 82107.797 48067.036 83721.277 48631.754 61213.231 59812.437 62713.034 61935.63 54495.287 57472.891 57124.526 60362.487 58338.303

CO2 emissions from gaseous fuel consumption (% of total) EN.ATM.CO2E.GF.ZS 21.8262806236 18.9516697196 22.5960771807 23.5956864639 23.4321270673 24.5507203327 25.9717868339 24.9477455957 22.8898045992 14.9791346365 6.428498311 6.9601203913 4.6112192233 6.403462945 6.3881536591 9.4726827942 9.1362126246 8.0427046263 8.3853841349 7.7700227509 12.8443206438 13.3887383759 14.732997043 13.014464398 21.7566109894 22.3475683523 18.7987589988 21.91178219 17.6992869232 19.0704185916 29.4848848898 24.2201048701 25.8747714643 26.3986043313 27.2606823451 28.7307228326 31.2119062441 29.4653314208 22.8661142608 34.5971420345 18.4617526275 20.756758101 19.4995696251 19.7962727167 18.3439407433 15.9346786473 16.6530308665 15.2111080733 14.6334308243 12.912939725

CO2 emissions (kg per 2000 US$ of GDP) EN.ATM.CO2E.KD.GD 1.1601915912 1.3294723888 1.1527256686 1.1683884151 1.1101384888 1.212450711 1.1170434141 1.1596742006 1.162602842 1.3093352781 1.2987883748 1.321083208 1.3612695785 1.405813609 1.3548024411 1.3431759251 1.4515778923 1.7819950919 1.8594168871 1.757756303 1.6114002876 1.5744995379 1.6388940964 1.5047327329 1.5007194335 1.5674248995 1.4852374495 1.4293879909 1.4397220419 1.3078820429 1.3702724284 1.5116725437 1.5890803593 1.598806037 1.5058357679 1.4113272949 1.4763631519 1.5513181907 1.3470899292 1.538561717 1.5962751736 1.7242673415 1.7162129891 1.691605829 1.7165471241 1.645049539 1.5735361512 1.610095216 1.6682024923 1.7462439554

CO2 emissions (kt) EN.ATM.CO2E.KT 21404.279 26024.699 22995.757 22783.071 22394.369 24689.911 23395.46 24561.566 27586.841 33391.702 35822.923 38987.544 43340.273 49134.133 51260.993 53963.572 61810.952 82434.16 93933.872 95096.311 94784.616 100160.438 105407.915 104956.874 112184.531 121245.688 121740.733 123372.548 132162.347 130966.905 149565.929 179730.671 202576.081 218600.871 221413.46 224941.114 253290.691 278658.997 210210.775 241988.997 263418.945 294907.474 306737.216 316792.13 337635.358 341991.754 345119.705 375544.804 412497.163 451781.734

CO2 emissions from liquid fuel consumption (kt) EN.ATM.CO2E.LF.KT 14719.338 19339.758 16244.81 15647.089 15720.429 17682.274 16252.144 17638.27 20593.872 27557.505 29236.991 31602.206 34590.811 38745.522 39390.914 40788.041 45848.501 56405.794 62680.031 63464.769 66189.35 70395.399 75147.831 77788.071 74253.083 78591.144 78334.454 75081.825 87314.937 84817.71 82540.503 103545.079 117200.987 117516.349 113563.323 113955.692 124733.005 143984.755 109272.933 106141.315 155103.099 149980.3 156969.602 162580.112 174035.82 174897.565 152624.207 166360.789 155517.47 191919.779

CO2 emissions from liquid fuel consumption (% of total) EN.ATM.CO2E.LF.ZS 68.7682028439 74.313090038 70.6426407272 68.6785771769 70.1981332897 71.6174068023 69.4670846395 71.8124813377 74.6510700518 82.5280035142 81.6153137476 81.057185854 79.81216685 78.8566310919 76.8438371843 75.5843979342 74.1753678215 68.4252669039 66.7278263585 66.7373616627 69.8313215723 70.2826389397 71.292398678 74.1143176577 66.1883437388 64.8197435277 64.3453116058 60.857805255 66.06642435 64.7627047459 55.1867016451 57.611245996 57.8552938834 53.7584084009 51.2901623054 50.6602327932 49.2450016649 51.6705925702 51.982555604 43.8620417936 58.8807684276 50.8567307453 51.1739671002 51.320754717 51.5454960141 51.1408719521 44.2235562875 44.2985197047 37.7014641432 42.480641548

CO2 emissions (metric tons per capita) EN.ATM.CO2E.PC 0.2327902957 0.2761951292 0.2380950862 0.2300896613 0.2205498751 0.237068596 0.2189769817 0.2240758062 0.2453013826 0.2894086797 0.3026562722 0.3211342382 0.3480929909 0.3848758458 0.3917136261 0.4023951335 0.4499200642 0.5859357552 0.6521975367 0.6451420369 0.6284616652 0.6492313044 0.6681602265 0.6509127649 0.6811160799 0.7211887846 0.7099729872 0.7059243476 0.742456732 0.7227838743 0.8113329201 0.9588100568 1.0633220588 1.1295705415 1.1268523137 1.1280879217 1.2523207709 1.3588914677 1.0114102008 1.1489867783 1.2344171028 1.3640272954 1.4004579586 1.4280257052 1.5032303669 1.5045621514 1.5010520443 1.6155122744 1.7556720024 1.9029239727

CO2 emissions (kg per PPP $ of GDP) EN.ATM.CO2E.PP.GD 0.9950016158 0.8889049417 0.8721232004 0.7702624448 0.7404008518 0.7503942078 0.6954964159 0.6502905634 0.6329503281 0.554129344 0.5593494118 0.5967883627 0.6144065207 0.6049050338 0.5583615301 0.5114200072 0.5256785917 0.5419203537 0.4640581984 0.5223588806 0.5304752056 0.5603069562 0.5487781466 0.529750686 0.5228614955 0.4849853408 0.4494044153 0.4468899055 0.4530004558 0.4680313945

CO2 emissions (kg per 2005 PPP $ of GDP) EN.ATM.CO2E.PP.GD.KD 0.4750650355 0.4641861396 0.4831706237 0.4436178364 0.4424346554 0.4621004298 0.4378703337 0.4214050735 0.4244517071 0.3855832929 0.4039769167 0.445663797 0.468484785 0.471352061 0.4439430277 0.4160805087 0.4352540573 0.4573519299 0.3971423674 0.4535911296 0.4706059244 0.5083399402 0.505965396 0.4987108351 0.506063904 0.4849853408 0.4639021187 0.4746802808 0.4918111796 0.5148189764

CO2 emissions from solid fuel consumption (kt) EN.ATM.CO2E.SF.KT 1822.499 1529.139 1301.785 1595.145 1206.443 762.736 898.415 619.723 473.043 561.051 432.706 553.717 524.381 355.699 440.04 546.383 447.374 509.713 546.383 652.726 707.731 792.072 861.745 1199.109 1884.838 3674.334 8063.733 8225.081 6919.629 6285.238 6952.632 13531.23 12519.138 21327.272 26670.091 25195.957 27583.174 29413.007 32100.918 37198.048 42016.486 58866.351 63259.417 65756.644 77733.066 88642.391 111469.466 128781.373 173368.426 173922.143

CO2 emissions from solid fuel consumption (% of total) EN.ATM.CO2E.SF.ZS 8.5146479356 5.8757221361 5.6609791102 7.0014485756 5.3872605207 3.0892618446 3.8401253918 2.5231412362 1.7147414595 1.68021085 1.2079025489 1.4202407825 1.2099162366 0.723934622 0.8584305029 1.0125033977 0.7237778832 0.6183274021 0.5816677077 0.6863841438 0.7466728567 0.7908032511 0.8175334841 1.1424778143 1.6801229039 3.0304863295 6.6236934847 6.6668648199 5.2357037818 4.7991040179 4.648539976 7.5286148573 6.1799685028 9.7562612182 12.0453792647 11.2011346223 10.8899280471 10.555197326 15.2708242477 15.3717931233 15.9504419851 19.9609559573 20.6233263198 20.7570320639 23.0227860199 25.9194527246 32.2987834033 34.2918798578 42.028998391 38.4969399847

Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) EN.ATM.GHGO.KT.CE 1720.7 997.4 1020.5 1146 1241

HFC gas emissions (thousand metric tons of CO2 equivalent) EN.ATM.HFCG.KT.CE 0 0 0 0

Agricultural methane emissions (thousand metric tons of CO2 equivalent) EN.ATM.METH.AG.KT.CE 81997.9 78861.7 98308.3 88812.2 94321.1

Agricultural methane emissions (% of total) EN.ATM.METH.AG.ZS 53.8715944232 46.9912484709 37.8601902324 42.1163598633 43.0829432908

Methane emissions in energy sector (thousand metric tons of CO2 equivalent) EN.ATM.METH.EG.KT.CE 37386.2 45614.3 49005.9 57518.5 68183.1

Energy related methane emissions (% of total) EN.ATM.METH.EG.ZS 24.5622656608 27.180150886 18.873001532 27.2763183977 31.1439182822

Methane emissions (kt of CO2 equivalent) EN.ATM.METH.KT.CE 152209.9 167822.1 259661.4 210873.4 218929.1

Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.AG.KT.CE 54881.3 59926 80826.5 63844.1 65585.3

Agricultural nitrous oxide emissions (% of total) EN.ATM.NOXE.AG.ZS 61.6993912276 66.0876124601 51.598420125 65.6245599356 71.8250274332

Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.EG.KT.CE 3692.4 4237.9 4470.7 4343.7 4063.4

Nitrous oxide emissions in industrial and energy processes (% of total nitrous oxide emissions) EN.ATM.NOXE.EI.ZS 4.3079500166 4.867518191 2.9942168709 4.7149205083 4.6893856927

Industrial nitrous oxide emissions (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.IN.KT.CE 139.5 175.8 219.6 243.3 218.6

Nitrous oxide emissions (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.KT.CE 88949.5 90676.6 156645.3 97286.9 91312.6

PFC gas emissions (thousand metric tons of CO2 equivalent) EN.ATM.PFCG.KT.CE 657.9 170.6 134.4 129.6

PM10, country level (micrograms per cubic meter) EN.ATM.PM10.MC.M3 132.1286322647 124.1658460252 118.4636680467 126.9345207933 112.7106327186 115.2575042077 109.8397492222 113.8875188373 122.5973623514 116.0215641479 119.7972082972 112.7182668824 107.3588885968 96.7243562663 97.3410261559 90.2736792313 83.3074471066 76.6405721569 73.8281398144 68.1073750818

SF6 gas emissions (thousand metric tons of CO2 equivalent) EN.ATM.SF6G.KT.CE 1062.8 826.8 886.1 1016.4

Bird species, threatened EN.BIR.THRD.NO 122

Disaster risk reduction progress score (1-5 scale; 5=best) EN.CLC.DRSK.XQ 3.25

GHG net emissions/removals by LUCF (Mt of CO2 equivalent) EN.CLC.GHGR.MT.CE 164.1183

Droughts, floods, extreme temperatures (% of population, average 1990-2009) EN.CLC.MDAT.ZS 0.1605897219

CO2 emissions from residential buildings and commercial and public services (million metric tons) EN.CO2.BLDG.MT 5.81 6.84 7.61 8.81 10.11 10.98 12.2 13.29 14.96 16.14 17.32 17.13 16.54 15.99 15.48 15.68 15.6 16.27 18.86 19.31 20.04 21.19 21.38 22.04 23.73 25.18 25.6 26.35 31.1 32.64 32.26 30.91 31.2 31.47 30.05 27.04 28.14 25.5 22.08 20.32

CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion) EN.CO2.BLDG.ZS 23.1197771588 24.2123893805 23.7961225766 25 26.6332982086 28.189987163 25.8146424037 24.7026022305 24.698695724 23.4320557491 23.2889606024 22.2525331255 21.4582252206 20.1741105223 17.5809199319 16.0392798691 14.8049729525 14.3045542465 15.8394221886 13.2214994865 12.6283949839 12.7183242302 11.797163825 11.4630467572 11.0675808031 10.8585967485 10.1833804049 10.3805546801 11.3873530812 11.9613016711 11.0847678933 10.3976049516 9.5943909714 9.5098513236 8.9503782689 7.642736009 7.6247764591 6.9951171339 5.7895012848 4.9447607923

CO2 emissions from electricity and heat production, total (million metric tons) EN.CO2.ETOT.MT 5.5 6.48 8.56 8.58 7.07 6.29 9.55 9.89 10.59 11.91 12.79 14.31 14.47 18.63 20.64 24.67 27.17 28.77 29.13 47.53 53.78 55.89 62.28 63.5 73.86 77.06 88.16 97.88 94.85 88.59 99.04 108.2 120.26 118.43 122.76 128.71 137.02 139.47 145.95 149.62

CO2 emissions from electricity and heat production, total (% of total fuel combustion) EN.CO2.ETOT.ZS 21.8861918026 22.9380530973 26.7667292058 24.3473325766 18.6248682824 16.1489088575 20.2073635209 18.3828996283 17.4839029222 17.2909407666 17.1977948097 18.5892439595 18.7727036845 23.5049205148 23.4412265758 25.2352700491 25.7853278922 25.2945313874 24.4646006551 32.5436494351 33.8899741635 33.5454054378 34.3651713293 33.0264731887 34.4480201483 33.2312734486 35.0690162695 38.5597226599 34.7295961334 32.464819701 34.0308559255 36.3966630786 36.9814569944 35.7881058866 36.5640078632 36.3793103448 37.1267544573 38.2591759478 38.2689181394 36.4092081569

CO2 emissions from manufacturing industries and construction (million metric tons) EN.CO2.MANF.MT 5.12 5.49 5.82 6.4 8.18 8.41 11.1 14.7 17.85 21.44 22.9 22.88 23.99 22.13 28.82 33.2 36.23 40.01 39.25 43.54 45.62 47.43 52.25 56.34 62.32 69.38 71.49 64.53 82.02 76.26 79.3 76.74 91.65 95.23 98.18 118.22 120.89 108.8 110.28 124.95

CO2 emissions from manufacturing industries and construction (% of total fuel combustion) EN.CO2.MANF.ZS 20.3740549144 19.4336283186 18.1988742964 18.1611804767 21.5489989463 21.5917843389 23.4870926788 27.3234200743 29.4700346706 31.1265969803 30.7919860159 29.7220057158 31.1235080436 27.9207670956 32.7314026122 33.9607201309 34.3836006453 35.1767188324 32.9638028051 29.8117083191 28.7478732119 28.4676790109 28.830767533 29.3025432985 29.0658084977 29.9193583164 28.4378853574 25.4215253703 30.0318552964 27.946350044 27.2480500292 25.8140473628 28.1835234786 28.7773479995 29.2428665038 33.4143583946 32.7561914052 29.8458331047 28.9160417431 30.4058986713

CO2 emissions from other sectors, excluding residential buildings and commercial and public services (million metric tons) EN.CO2.OTHX.MT 0.68 0.79 0.83 0.93 1.08 1.09 1.23 1.35 1.49 1.72 1.92 2.07 2.16 2.23 2.2 2.07 2.16 2.45 3.3 3.79 3.77 4.58 5.25 5.5 5.75 6.23 6.1 6.48 6.91 10.39 11.25 10.88 10.15 11.99 10.83 9.57 9.07 9.29 9.7 10.23

CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion) EN.CO2.OTHX.ZS 2.7059291683 2.796460177 2.5953721076 2.639046538 2.8451001054 2.7984595635 2.6026237833 2.5092936803 2.4599636784 2.4970963995 2.5816861638 2.6890101325 2.802283342 2.8135251072 2.4985803521 2.1174304419 2.0499193319 2.1540355196 2.771478962 2.5950017117 2.3757010524 2.7489346378 2.8968713789 2.8605606699 2.6817779022 2.6866186554 2.4265086121 2.5527891585 2.5301160704 3.8075344474 3.865580868 3.6598493003 3.121252191 3.6232322011 3.2257103711 2.7049180328 2.457594971 2.5484171833 2.5433950391 2.4894145131

CO2 emissions from transport (million metric tons) EN.CO2.TRAN.MT 8.02 8.64 9.16 10.52 11.53 12.18 13.19 14.58 15.68 17.67 19.44 20.6 19.93 20.28 20.9 22.14 24.21 26.24 28.53 31.87 35.48 37.53 40.07 44.89 48.75 54.04 60.03 58.59 58.23 65 69.19 70.55 71.93 73.8 73.92 70.27 73.96 81.48 93.36 105.83

CO2 emissions from transport (% of total fuel combustion) EN.CO2.TRAN.ZS 31.9140469558 30.5840707965 28.6429018136 29.8524404086 30.3740779768 31.270860077 27.9094371562 27.1003717472 25.8874030048 25.6533101045 26.1395724082 26.7601974539 25.8562532434 25.58667676 23.7365133447 22.647299509 22.9761791781 23.0701600141 23.9606953893 21.8212940774 22.3580565883 22.525658724 22.1100259339 23.3473760857 22.7368126487 23.3041528311 23.879231473 23.0814686417 21.3210794185 23.8199941366 23.7741813559 23.7318353068 22.1193763646 22.3014625891 22.0170369929 19.8615036744 20.0401018805 22.3514566303 24.4795217369 25.7531513116

Fish species, threatened EN.FSH.THRD.NO 141

Plant species (higher), threatened EN.HPT.THRD.NO 385

Mammal species, threatened EN.MAM.THRD.NO 184

Population density (people per sq. km of land area) EN.POP.DNST 52.01332049 53.3141093085 54.6587932015 56.0501647742 57.489744255 58.9763652522 60.5070480302 62.0793063475 63.6900931236 65.3365533764 67.0168710014 68.72919291 70.4705272222 72.2375845261 74.0274601589 75.8359185679 77.6608422529 79.5038116109 81.3679189874 83.2537765585 85.1611745613 87.0838223199 89.0088067257 90.9194339716 92.8030432167 94.6539990174 96.4728820857 98.2610663678 100.0225655095 101.7603178458 103.474776023 105.1642724267 106.8275849125 108.4630712586 110.0704576693 111.647377137 113.1965466419 114.728819201 116.2587015683 117.7958406244 119.3459259096 120.9041687597 122.4568937441 123.9844615444 125.4730289197 126.9167335516 128.3205981552 129.6947697301 131.0545521288 132.4105262286

Population living in areas where elevation is below 5 meters (% of total population) EN.POP.EL5M.ZS 11.24608 11.165

Population in largest city EN.URB.LCTY 2678740 2847651 2973833 3077862 3185681 3296964 3412296 3531663 3655378 3783069 3915406 4052372 4223963 4411693 4608043 4813132 5027651 5251100 5484810 5728921 5984256 6197362 6391074 6590842 6797142 7009306 7228398 7454338 7687666 7927626 8175422 8268203 8281607 8294997 8308426 8321877 8335369 8348845 8362362 8375901 8389668 8472279 8555820 8640184 8717126 8794539 8872748 8952592 9034989 9120729 9210211

Population in the largest city (% of urban population) EN.URB.LCTY.UR.ZS 19.9545517203 20.3649412548 20.4182236609 20.2896810302 20.1632566886 20.0360276043 19.8869431773 19.7423122032 19.6040495618 19.470413345 19.345027465 19.030072811 18.8683556582 18.7608718377 18.6705236596 18.5961265962 18.4270497026 18.2783645512 18.1515214617 18.0434178059 17.9539010398 17.541818767 17.093574811 16.6834827767 16.3115029266 15.9741285388 15.6129225645 15.2877828234 14.9956545043 14.7310462913 14.4928960759 13.9583612252 13.3344060475 12.7567024457 12.2209689151 11.7231791611 11.1745559184 10.6691478724 10.2015089225 9.7665949787 9.3607448756 9.0667735349 8.7900469206 8.5299939896 8.2787227802 8.0438229096 7.840477836 7.6503990005 7.4727467407 7.3063713135 7.1501913183

Population in urban agglomerations of more than 1 million EN.URB.MCTY 6433511 6767144 7028934 7254956 7489528 7732003 7983724 8244732 8515797 8796193 9087487 9389753 9768944 10185078 10621997 11080265 11561755 12065705 12595505 13151921 13737313 14194204 14587567 14992461 15409818 15838251 16279884 16734517 17203200 17684388 18180459 18436632 18570383 18705876 18843708 18983739 19126214 19270585 19417496 19566798 19718797 19890395 20065769 20244724 20345606 20450287 20559236 20678345 20812811 20966504 21141293

Population in urban agglomerations of more than 1 million (% of total population) EN.URB.MCTY.TL.ZS 6.9970071328 7.1818398812 7.2776671231 7.3268892001 7.3760259342 7.4241462254 7.472611287 7.5216904734 7.5722217644 7.6237341919 7.6777233927 7.7341911466 7.8460533346 7.9781412042 8.1168559522 8.2623231728 8.4157667585 8.5762115748 8.7452557414 8.922383017 9.1084133353 9.2005603822 9.2467743723 9.2978990991 9.3559020432 9.4208455382 9.494174702 9.5753092458 9.6643499012 9.7597102668 9.8621423931 9.8353987532 9.7475959588 9.6658381942 9.5902371786 9.5204146067 9.4563897971 9.3973759383 9.34255322 9.2905018307 9.2404972101 9.1998487962 9.1613486806 9.1258536841 9.0583323243 8.9969209625 8.9419649995 8.8953754137 8.8583565757 8.8311810953 8.8136117132

Pump price for diesel fuel (US$ per liter) EP.PMP.DESL.CD 0.51

Pump price for gasoline (US$ per liter) EP.PMP.SGAS.CD 0.79

GEF benefits index for biodiversity (0 = no biodiversity potential to 100 = maximum) ER.BDV.TOTL.XQ 89.9536385993 80.9625212947

Water productivity, total (constant 2000 US$ GDP per cubic meter of total freshwater withdrawal) ER.GDP.FWTL.M3.KD 1.7148247713 2.4162931782 1.577485504 2.0586394361 2.5815082083

Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal) ER.H2O.FWAG.ZS 93.14 93.14 81.87 81.87 81.87

Annual freshwater withdrawals, domestic (% of total freshwater withdrawal) ER.H2O.FWDM.ZS 6.361 6.361 11.59 11.59 11.59

Annual freshwater withdrawals, industry (% of total freshwater withdrawal) ER.H2O.FWIN.ZS 0.5058 0.5058 6.53 6.53 6.53

Annual freshwater withdrawals, total (billion cubic meters) ER.H2O.FWTL.K3 74.34 74.34 113.3 113.3 113.3

Annual freshwater withdrawals, total (% of internal resources) ER.H2O.FWTL.ZS 3.6820208024 3.6820208024 5.6116889549 5.6116889549 5.6116889549

Renewable internal freshwater resources, total (billion cubic meters) ER.H2O.INTR.K3 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019

Renewable internal freshwater resources per capita (cubic meters) ER.H2O.INTR.PC 20904.4642068307 18419.3895759556 16215.8588304355 14350.8988240167 12798.0474451953 11552.4991651903 10597.7330897776 9845.7322491006 9218.0683362024 8685.2999891001 8331.7638887223

Terrestrial protected areas (% of total land area) ER.LND.PTLD.ZS 10.0314711099 10.2555535055 10.8156822851 10.8672975267 10.8672979488 10.9087970113 11.0496576193 12.024510531 12.8291582511 13.5503170077 13.5503170077 13.5508626709 13.5889188387 13.5889188387 14.140797389 14.1441594008 14.1441594008 14.1441594008 14.1499768026 14.1499768026 14.1499768026

Marine protected areas (% of territorial waters) ER.MRN.PTMR.ZS 0.4819779279 0.5485977101 0.568868693 0.5931880669 0.5931880669 0.6272363765 0.9555971649 1.0224272107 1.0241015762 1.0241015762 1.0241015762 1.1702357215 1.8480589347 1.8480589347 1.9379993481 1.9379993481 1.9379993481 1.9382759829 1.9861138019 1.9861138019 1.9861138019

Terrestrial and marine protected areas (% of total territorial area) ER.PTD.TOTL.ZS 3.9642447001 4.0882839512 4.3054165718 4.3396895098 4.3396896638 4.3764549248 4.6364429069 5.0343876824 5.3288699885 5.5918438581 5.5918438581 5.6848884913 6.1294176981 6.1294176981 6.3878059855 6.3890319587 6.3890319587 6.3892077173 6.4217225972 6.4217225972 6.4217225972

Bank nonperforming loans to total gross loans (%) FB.AST.NPER.ZS 34.4 31.9 24 6.8 4.5 7.4 6.1 4.1 3.2 3.3 2.6 2.9

Automated teller machines (ATMs) (per 100,000 adults) FB.ATM.TOTL.P5 8.6758388095 9.4228625683 10.6190991134 11.6039290349 13.2671973374 14.2657286253 13.3720353018

Bank capital to assets ratio (%) FB.BNK.CAPA.ZS 6 5.2 8.8 10.4 10 9.8 10.1 10.2 9.7 10.7 11.4

Commercial bank branches (per 100,000 adults) FB.CBK.BRCH.P5 5.2340336973 5.3303421749 5.7854054132 6.0389678426 6.6553958166 7.720318724 8.3167100685

Borrowers from commercial banks (per 1,000 adults) FB.CBK.BRWR.P3 161.9753240703 200.2342675999 227.822589883 274.7966004553

Depositors with commercial banks (per 1,000 adults) FB.CBK.DPTR.P3

Point-of-sale terminals (per 100,000 adults) FB.POS.TOTL.P5 119.9123

Bank liquid reserves to bank assets ratio (%) FD.RES.LIQU.AS.ZS 35.1733802258 36.9288839347 39.5969574823 36.0625814155 29.37503431 39.3982879307 40.0674975354 24.2380532518 30.8641745849 30.9716945528 32.9148833434

Total reserves (includes gold, current US$) FI.RES.TOTL.CD 352739199.984593 133183550 108100019.998714 58079559.998943 25003679.999886 21003679.999886 23011659.999886 6012799.999886 87276599.999886 121712799.999886 160280179.999866 187819481.29997 580053889.26417 811133204.9567 1500130961.41571 592327940.99365 1504197779.79594 2536611742.8 2676739962.77349 4205180390.29715 6802958655.10206 6248011978.37647 4562681470.29662 4902568754.42369 5729969519.4969 5989249601.27633 5264621424.3 7094971114.8 6321736080 6699437804 8656793061.6 10357988937.1 11482018250 12474062676.59 13321137322.7019 14907560252.9286 19396150431.2003 17486799311.4368 23605844201.6735 27345097353.9957 29352929930.3718 28103636213.8566 32033584740.0475 36256203610.1863 36310734314.7824 34730799704.5211 42597039985.2572 56935744301.4525 51640625791.9553 66118916965.731 96210971535.5132 110136605627.115

Total reserves (% of total external debt) FI.RES.TOTL.DT.ZS 14.632341382 3.7697639947 9.8933576243 11.1560409869 16.483283744 5.1516574586 10.7365587058 15.4008955671 14.8331105349 22.5796615231 32.4914293608 27.4503460893 18.153938521 16.2178932953 17.8920412826 16.3129809018 12.2677587046 13.5074525265 11.6952520031 11.2822854601 12.3936708527 13.0251437063 13.0509235384 13.9926975588 12.3562439189 11.9846599007 15.0370913318 12.8275257577 15.5848301927 18.0152516426 20.4329118272 21.2347624224 25.0037848747 27.1014484282 26.410145849 24.4893360878 31.3307007674 38.5079638389 32.7033038353 36.8567155913 49.295454122 51.5763642688

Total reserves in months of imports FI.RES.TOTL.MO 2.9180409333 2.0481885996 2.2353835798 2.8442454699 3.2447401903 3.1365036785 4.0184855514 3.2952883437 2.9932702974 3.1374665279 3.2799204994 3.3316621288 3.3837907661 3.2307372395 2.9021385609 3.4949593101 2.9548078874 5.2332263085 6.0922944309 5.2648364534 5.6690537902 6.2952664647 6.774903881 5.1636787147 3.9032543179 4.5787435 5.3135696275 3.7859043106 6.1663043441 6.551798568 5.831867802

Total reserves minus gold (current US$) FI.RES.XGLD.CD 293749999.98625 89000000 63000000 21000000 21000000 17000000 19000000 2000000 82500000 117700000 156019999.99998 185332571.29997 572200989.26417 804734954.9567 1489500461.41571 584333690.99365 1496517029.79594 2508735192.8 2626115962.77349 4061820390.29715 5391695655.10206 5014171978.37647 3144463870.29972 3718392754.42369 4773006319.5 4974241601.27633 4051267824.3 5592324714.8 5048320080 5453530804 7459058061.6 9257939337.1 10448610000 11262657057.6 12132679072.7019 13708248502.9286 18251106181.2003 16586889080.4268 22713376432.6835 26445032103.9957 28501860480.3718 27246209713.8566 30970716990.0475 34962311360.1863 34952496314.7824 33140499704.5211 41103144985.2572 54976431801.4525 49596713291.9553 63563291965.731 92908046535.5132 106538755627.115

Claims on central government (annual growth as % of broad money) FM.AST.CGOV.ZG.M3 -5.9035234565 -4.9154850254 -2.64626318 -21.5687466645 -3.2833930047 2.3438913718 6.5390949001 -0.5320804666 -3.963336157 -5.6182858072 -1.7200231976 7.2784548287 -6.5643854795 -1.2744424314 -2.3653467462 -1.2973839487 -4.0986206086 6.754119441 74.067937034 17.226102581 3.0133808355 -0.3279615234 -4.2764566287 -0.5894612603 0.5693134451 0.7866951437 0.4998967762 -7.0427883432 2.5216015271 -3.7134963593 1.1276873098

Claims on other sectors of the domestic economy (annual growth as % of broad money) FM.AST.DOMO.ZG.M3 7.2139083785 8.4027232819 16.1580104444 13.2225719097 8.2958991978 14.8480628969 20.1582912257 6.8941800146 17.0951349401 19.1049838341

Net domestic credit (current LCU) FM.AST.DOMS.CN 290494599963.455 378000000000 517000000000 641745020863.545 1086000000000 1388000000000 2803000000000 3283000000000 3299000000000 4522000000000 4616000000000 4008980000000 5992790000000 8868300000000 11138200000000 12137100000000 15682500000000 21550000000000 30403500000000 42945700000000 63246000000000 98418000000000 115915700000000 131528000000000 156434000000000 192194000000000 235508000000000 287707000000000 373795941000000 572763941000000 682646940800000 843268372600000 896705550000000 954519013900000 990812022800000 1.13926318783893E+15 1.2818542882479E+15 1.39109630416087E+15 1.603280815468E+15 1.8196422539194E+15 1.99815027676732E+15 2.2847025147E+15 2.78469347184782E+15

Net foreign assets (current LCU) FM.AST.NFRG.CN -5564219979.14577 -38854599963.4554 -43000000000 -58000000000 117000000000 296000000000 659000000000 -345000000000 525000000000 1061000000000 1844000000000 3483000000000 6539622276835.22 6811123954074.45 5590165730182.56 8390725303989.7 11918807651854.6 14083470885383.1 15892398888687.9 16205755044880 13750925497050 12568287633580 10659146468282.8 17283257781014.4 31502399420000 30794526391536 26351113959944.2 33737312744759.2 51633372829800.3 60331225377584.4 111843514289620 116141186594363 177940847130711 226078706129356 230831765199332 251314781790273 241549625822753 304043614678228 401983135344839 510364049655120 584319793712596 639005815576752 813214645443523 907389662026769

Claims on private sector (annual growth as % of broad money) FM.AST.PRVT.ZG.M3 23.5909326615 26.9408094739 23.2735454034 26.9744441967 20 21.7445858329 25.4258841852 32.4830906631 46.0296437046 66.4538900189 19.5704921298 10.4396760125 27.4650821694 25.6679369443 25.8582755375 23.596085659 30.8426367721 36.095464063 -49.3529306891 7.8206444565 7.6603948592 6.3815400675 8.470958127 15.0800718389 12.3086641511 7.3552263078 13.315808921 18.6892848446 4.9935026363 12.865032082 17.2858310745

Broad money (current LCU) FM.LBL.BMNY.CN 230000000000 321000000000 458000000000 661000000000 988000000000 1455000000000 1997000000000 2620000000000 3131000000000 3808000000000 5216000000000 7771630000000 9818970000000 11200700000000 14802900000000 18155000000000 23431120000000 27994700000000 34374500000000 42734200000000 59044700000000 85353500000000 100312500000000 119996000000000 144063000000000 173167000000000 220829000000000 280631000000000 351504000000000 572118000000000 642107000000000 748845284800000 839586263400000 879560434400000 953532428000000 1.033876781462E+15 1.20276224837547E+15 1.38249328136562E+15 1.649661781092E+15 1.89583862005598E+15 2.14138377898218E+15 2.4712058709E+15 2.87721965387607E+15

Broad money (% of GDP) FM.LBL.BMNY.GD.ZS 8.0182393996 9.1071319464 11.8198425262 13.7247693124 13.8646425596 12.8766758853 14.9684435324 16.0525444995 15.5892138774 15.8650139082 15.1872051493 15.888517715 16.807175185 17.8792105494 19.070298605 20.1980081807 24.1565899321 27.2633333512 27.5399404547 28.5524166979 32.8790012076 40.477544001 40.1300392772 42.49226805 43.6850926552 45.3056176275 48.5857305038 52.6939290486 55.9991378985 59.8604136524 58.3876096488 53.8826812122 50.9976944607 48.2788620738 47.3528566602 45.0328839412 43.3540142161 41.4017227443 41.754147672 38.3099210919 38.1966836785 38.3949953454 38.7395490256

Broad money to total reserves ratio FM.LBL.BMNY.IR.ZS 5.7966086754 5.5197325129 6.2226773485 2.7459019133 2.9350578635 2.337145347 8.1239594822 4.1970897025 2.9742739837 3.218280286 1.9907935184 1.8220106016 2.4875639027 3.711480635 3.3207235157 3.0883032096 3.5226604822 4.1460160581 2.9472977491 4.010124508 4.9791450402 5.3503593604 4.9656292843 5.1483662625 5.5335070787 6.0161487754 6.5877299191 6.1770095002 6.9090684699 2.42033154 2.9893271595 3.0292631879 2.9115179399 2.9488649072 3.0662741291 3.1853129028 3.5684615826 3.5434028783 3.1696857074 3.7851630273 3.1171366562 2.8255288156 2.9786555119

Broad money growth (annual %) FM.LBL.BMNY.ZG 39.5652173913 42.6791277259 44.3231441048 49.4704992436 47.2672064777 37.2508591065 31.1967951928 19.5038167939 21.6224848291 36.974789916 48.9959739264 26.3437657222 14.0720462533 32.1604899694 22.6448871505 29.0615257505 19.4765764505 22.7893136915 24.3194810106 38.1673226596 44.5574285245 17.5259362533 19.6221806854 20.0565018834 20.2022726168 27.5237198773 27.0806823379 25.2548720562 62.7628704083 12.2333155048 16.6231305374 12.1174534235 4.7611749671 8.4101092667 8.4259696999 16.3351639133 14.9431887501 19.3251210207 14.9228673287 12.9517964414 15.4022877709 16.4297838459

Money (current LCU) FM.LBL.MONY.CN 180020000000 241000000000 313000000000 471000000000 669000000000 940000000000 1250000000000 1601000000000 2006000000000 2488000000000 3379000000000 5040220000000 6542750000000 7192700000000 7634800000000 8701200000000 10243900000000 11790600000000 12826800000000 14560900000000 20788400000000 23803400000000 26676300000000 28426000000000 34661000000000 42887000000000 49572000000000 54534000000000 72431000000000 90768000000000 116880000000000 160923094500000 230852614200000 242431459900000 275759448500000 313457390904062 351628488058726 426882099475723 538521889437000 569637477312675 640216745717828 744539007200000 876258371127317

Money and quasi money (M2) (current LCU) FM.LBL.MQMY.CN 230000000000 321000000000 458000000000 661000000000 988000000000 1455000000000 1997000000000 2620000000000 3131000000000 3808000000000 5216000000000 7771630000000 9818970000000 11200700000000 14802900000000 18155000000000 23431120000000 27994700000000 34374500000000 42734200000000 59044700000000 85353500000000 100312500000000 119996000000000 144063000000000 173167000000000 220829000000000 280631000000000 351504000000000 572118000000000 642107000000000 748845284800000 839586263400000 879560434400000 953532428000000 1.033876781462E+15 1.20276224837547E+15 1.38249328136562E+15 1.649661781092E+15 1.89583862005598E+15 2.14138377898218E+15 2.4712058709E+15 2.87721965387607E+15

Money and quasi money (M2) as % of GDP FM.LBL.MQMY.GD.ZS 8.0182393996 9.1071319464 11.8198425262 13.7247693124 13.8646425596 12.8766758853 14.9684435324 16.0525444995 15.5892138774 15.8650139082 15.1872051493 15.888517715 16.807175185 17.8792105494 19.070298605 20.1980081807 24.1565899321 27.2633333512 27.5399404547 28.5524166979 32.8790012076 40.477544001 40.1300392772 42.49226805 43.6850926552 45.3056176275 48.5857305038 52.6939290486 55.9991378985 59.8604136524 58.3876096488 53.8826812122 50.9976944607 48.2788620738 47.3528566602 45.0328839412 43.3540142161 41.4017227443 41.754147672 38.3099210919 38.1966836785 38.3949953454 38.7395490256

Money and quasi money (M2) to total reserves ratio FM.LBL.MQMY.IR.ZS 5.7966086754 5.5197325129 6.2226773485 2.7459019133 2.9350578635 2.337145347 8.1239594822 4.1970897025 2.9742739837 3.218280286 1.9907935184 1.8220106016 2.4875639027 3.711480635 3.3207235157 3.0883032096 3.5226604822 4.1460160581 2.9472977491 4.010124508 4.9791450402 5.3503593604 4.9656292843 5.1483662625 5.5335070787 6.0161487754 6.5877299191 6.1770095002 6.9090684699 2.42033154 2.9893271595 3.0292631879 2.9115179399 2.9488649072 3.0662741291 3.1853129028 3.5684615826 3.5434028783 3.1696857074 3.7851630273 3.1171366562 2.8255288156 2.9786555119

Money and quasi money growth (annual %) FM.LBL.MQMY.ZG 39.5652173913 42.6791277259 44.3231441048 49.4704992436 47.2672064777 37.2508591065 31.1967951928 19.5038167939 21.6224848291 36.974789916 48.9959739264 26.3437657222 14.0720462533 32.1604899694 22.6448871505 29.0615257505 19.4765764505 22.7893136915 24.3194810106 38.1673226596 44.5574285245 17.5259362533 19.6221806854 20.0565018834 20.2022726168 27.5237198773 27.0806823379 25.2548720562 62.7628704083 12.2333155048 16.6231305374 12.1174534235 4.7611749671 8.4101092667 8.4259696999 16.3351639133 14.9431887501 19.3251210207 14.9228673287 12.9517964414 15.4022877709 16.4297838459

Quasi money (current LCU) FM.LBL.QMNY.CN 50000000000 80000000000 145000000000 190000000000 319000000000 515000000000 747000000000 1019000000000 1125000000000 1320000000000 1837000000000 2731410000000 3276220000000 4008000000000 7168100000000 9453800000000 13187220000000 16204100000000 21547700000000 28173300000000 38256300000000 61550100000000 73636200000000 91570000000000 109402000000000 130280000000000 171257000000000 226097000000000 279073000000000 481350000000000 525227000000000 587922190300000 608733649200000 637128974500000 677772979500000 720419390557941 851133760316747 955611181889900 1.111139891655E+15 1.3262011427433E+15 1.50116703326435E+15 1.7266668637E+15 2.00096128274875E+15

Consumer price index (2005 = 100) FP.CPI.TOTL 0.0004038693 0.0004591668 0.0010625021 0.0026128072 0.0054606287 0.0222118232 0.2745945777 0.5656648301 1.294484605 1.4953963044 1.6800611579 1.7532863786 1.8674719572 2.4470953449 3.4406700586 4.0962646129 4.9097510493 5.4516176826 5.8937149527 6.8520500289 8.0865942157 9.0767471955 9.9373542982 11.1086990654 12.2701716177 12.8504767927 13.5992993833 14.8607011678 16.0559720455 17.0863898669 18.421294387 20.1558676819 21.6727450158 23.7723540679 25.7974013937 28.2306263752 30.4801782396 32.3790616959 51.2842526775 61.7919434824 64.0906186134 71.4623808595 79.95122302 85.2165860548 90.5371014377 100 113.1094152836 120.3568427705 132.1236320422 138.4834352105 145.5914505164 153.3915119011

Inflation, consumer prices (annual %) FP.CPI.TOTL.ZG 13.6919315403 131.3978494624 145.9107806691 108.9947089947 306.7631103074 1136.2541122077 106 128.8430420712 15.5205939544 12.3488905891 4.3584854263 6.5126598799 31.037863007 40.602206845 19.0542697526 19.8592257416 11.0365398956 8.1094694426 16.2602888647 18.0171508023 12.2443757332 9.4814484107 11.7872899776 10.4555226983 4.7293973805 5.8271969407 9.2754909576 8.0431660937 6.4176607839 7.8126774032 9.4161314533 7.5257357201 9.687785514 8.5184972426 9.4320545871 7.9684801695 6.2298961684 58.3870871837 20.4891175289 3.7200240055 11.5020925145 11.8787564288 6.5857191872 6.2435209261 10.4519566145 13.1094152836 6.4074484593 9.7765851951 4.8135243257 5.1327548995 5.3574996039

Wholesale price index (2005 = 100) FP.WPI.TOTL 0.9910779025 1.1253465802 1.5554852899 2.3024683515 2.4473893413 2.8068429415 3.2009784879 3.5070053757 5.3442401909 6.6515939654 7.3877940468 7.9349166132 9.3579161766 10.5358800241 10.9019723457 11.1437185136 13.194661809 14.1460499536 15.1364294156 16.6570907943 17.5148997772 18.4194983409 19.1681316351 20.1351163066 22.4278057699 24.1902133165 26.3581305641 53.2798340052 58.7527415929 66.0909793151 75.443329093 77.5729793596 79.1756817047 85.9404439556 100 113.4589349485 130.16607482 165.2926285997 162.2911618297 170.1967144326 182.8450998766

Deposit interest rate (%) FR.INR.DPST 21 21 15 12 12 12 12 9 6 6 6 6 6 6 16 18 15.39 16.7841666667 17.7175 18.6275 17.5308333333 23.3166666667 19.6025 14.5475 12.5333333333 16.7175 17.2558333333 20.0141666667 39.0666666667 25.7375 12.5033333333 15.4816666667 15.5025 10.59 6.4433333333 8.0791666667 11.4108333333 7.9758333333 8.4925 9.2783333333 7.0166666667

Lending interest rate (%) FR.INR.LEND 21.4916666667 21.6666666667 22.0975 21.6991666667 20.825 25.5333333333 24.0333333333 20.5866666667 17.76 18.8516666667 19.2175 21.8175 32.1541666667 27.6625 18.455 18.5475 18.945 16.935 14.1241666667 14.0508333333 15.9791666667 13.8616666667 13.5983333333 14.4983333333 13.2516666667 12.4033333333

Interest rate spread (lending rate minus deposit rate, %) FR.INR.LNDP 6.1016666667 4.8825 4.38 3.0716666667 3.2941666667 2.2166666666 4.4308333333 6.0391666667 5.2266666667 2.1341666667 1.9616666667 1.8033333333 -6.9125 1.925 5.9516666667 3.0658333333 3.4425 6.345 7.6808333334 5.9716666666 4.5683333334 5.8858333334 5.1058333333 5.22 6.235

Real interest rate (%) FR.INR.RINR 21.6095012677 5.3958389243 8.2949345114 10.642480571 12.1617284393 15.3505021759 17.7185386956 10.7517908192 9.2632750146 8.3392128912 9.520961675 8.2136302403 -24.6002176663 11.826529786 -1.6542144724 3.719985957 12.3224124962 10.8520733498 5.1344047541 -0.2457343987 1.6581536096 2.3396741081 -3.8522460217 5.7479543809 4.7573925615 3.6977117719

Risk premium on lending (lending rate minus treasury bill rate, %) FR.INR.RISK

Claims on central government, etc. (% GDP) FS.AST.CGOV.GD.ZS -8.5502980988 -7.9441061936 -8.1787487471 -6.9826132358 -9.5821219862 -9.4941273266 -8.4335611439 -5.4713744594 -4.6850625758 -4.8478188341 -5.7017645355 -5.397157741 -2.1919658924 -4.2656212794 -4.160695959 -4.4000834326 -4.2931607476 -5.4749487147 -1.1116883144 37.5665295065 37.6854478213 33.1834580841 29.8354970822 25.1251637405 21.7925167857 18.2463238768 15.4427348908 13.2268176016 8.2121810257 8.1017528759 5.8213917441 5.4199992711

Claims on other sectors of the domestic economy (% of GDP) FS.AST.DOMO.GD.ZS 21.2837451726 22.557823509 24.0790146547 27.8307147602 27.9585924404 26.2166237996 27.3533938673 28.5580115559 28.8646336887 30.633383888 33.1214529976

Domestic credit provided by banking sector (% of GDP) FS.AST.DOMS.GD.ZS 10.1271967251 10.7242862173 13.3424859957 13.3249657621 15.2398803844 12.2837292981 21.0097882931 20.1146960275 16.4256839928 18.839704016 13.440210692 8.196060511 10.2578856414 14.156097647 14.349134286 13.5029052652 16.1680586165 20.9870023154 24.3584802576 28.6937282501 35.2184922673 46.6731759739 46.3721031163 46.5759111311 47.4364256223 50.2836445413 51.8153332194 54.0225856901 59.5505326993 59.9279981288 62.0739582458 60.6768338126 54.4672032567 52.3933205912 49.2041783951 49.6232315459 46.2049163172 41.6593586904 40.5802114688 36.7701925816 36.9663865646 36.4547756321 38.5414522687

Domestic credit to private sector (% of GDP) FS.AST.PRVT.GD.ZS 8.9942246286 10.6686947227 14.1717409785 14.7957813975 17.2196502793 19.7005461691 23.5715686933 25.0941979356 28.3877202554 34.6126958891 48.0852555608 47.2458128312 45.5291500361 48.9814132116 51.9353123769 53.526391215 55.4655939277 60.8489426117 53.2378901832 20.5928426364 19.9085406512 20.2905270779 21.2766954981 22.9497432346 26.3925246919 26.4278526511 24.6060340356 25.4559902055 26.5534798271 27.6587103201 29.0647344997 31.7211272697

Liquid liabilities (M3) as % of GDP FS.LBL.LIQU.GD.ZS 10.6714627205 6.7556619964 6.0337658286 5.6989315311 8.0234686861 9.0952160729 11.8123583464 32.6584227024 33.6642258897 34.4275329333

Quasi-liquid liabilities (% of GDP) FS.LBL.QLIQ.GD.ZS 1.74762757 2.2577743311 3.734605703 21.2386310883 22.0963625836 22.629388123

Research and development expenditure (% of GDP) GB.XPD.RSDV.GD.ZS 0.0676929179 0.0475632956 0.0833594214

Cash surplus/deficit (current LCU) GC.BAL.CASH.CN 1690000000000 -2740000000000 1779000000000 10799000000000 7805000000000 10557000000000 8260600000000 -17610200000000 -40415500000000 -17106691000000 -35109147130883 -23364838000000 -3493720641532 -20861666575215 -40346615279566 -16586753932355 -93719310377562 -36389123210813.3

Cash surplus/deficit (% of GDP) GC.BAL.CASH.GD.ZS 0.6760848985 -0.9702724629 0.5394569031 2.8253383425 1.7172184205 1.9822821034 1.3160205247 -1.8425462169 -3.6750330362 -0.9389821814 -1.7435363106 -1.0177093217 -0.1259324647 -0.6247472933 -1.0212023772 -0.3351747494 -1.6717072802 -0.5653758891

Central government debt, total (current LCU) GC.DOD.TOTL.CN 87435000000000 105546000000000 118797000000000 138841000000000 136781000000000 127324000000000 450890300000000 514134000000000 490685300000000 587069900000000 598411660000000 1.2995E+15 1.31329E+15 1.30216E+15 1.38941E+15 1.63674E+15 1.59066E+15 1.676681E+15

Central government debt, total (% of GDP) GC.DOD.TOTL.GD.ZS 34.9783923659 37.3753202074 36.0235310396 36.3249190493 30.0938952948 23.9075576903 71.8326621796 53.7935773962 44.6186410626 32.224126531 29.717396837 56.6027148795 47.3380282818 38.9959705521 35.1669845188 33.0742182296 28.3732124323 26.05050431

Net incurrence of liabilities, domestic (current LCU) GC.FIN.DOMS.CN -15616176304168 18165063411055 45116325713305 46883994685900 52613982572348 64200091750248

Net incurrence of liabilities, domestic (% of GDP) GC.FIN.DOMS.GD.ZS -0.5628909042 0.5439917352 1.141927241 0.9474024413 0.9384957844 0.9974734412

Net incurrence of liabilities, foreign (current LCU) GC.FIN.FRGN.CN 1798000000000 1159000000000 -451000000000 -303000000000 -1677000000000 -2658000000000 3432400000000 49705300000000 15942000000000 -2462336000000 -6709689000000 -9733281971413.7 13694886519712 -4535047630188 -1015385134844 41963500755756 25056174280013 4162258618370.83

Net incurrence of liabilities, foreign (% of GDP) GC.FIN.FRGN.GD.ZS 0.7192903239 0.4104181695 -0.136759451 -0.079273777 -0.3689654441 -0.4990912031 0.5468257571 5.2006401105 1.4496264221 -0.1351570347 -0.3332062257 -0.4239555092 0.4936372967 -0.1358117158 -0.0257001413 0.8479721774 0.4469365896 0.0646687927

Grants and other revenue (current LCU) GC.REV.GOTR.CN 2487000000000 2992100000000 4936000000000 5549000000000 7272000000000 7667000000000 9464600000000 9774000000000 13579700000000 110001860000000 83050609000000 91972681981988 117496562000000 138749511288289 217002550931048 206948030263888 320995740248341 222275045725775 271057367752471

Grants and other revenue (% of revenue) GC.REV.GOTR.ZS 5.9805218228 6.3002189842 9.441469013 8.5329847763 10.2434077079 9.2958122166 8.6140723394 6.3960233932 7.3897096836 36.5921434803 27.8209617762 26.9416754486 29.3309095258 28.5727618053 34.6535644579 29.6514054322 33.2253432351 25.7529618245 27.9253099973

Social contributions (current LCU) GC.REV.SOCL.CN

Social contributions (% of revenue) GC.REV.SOCL.ZS

Revenue, excluding grants (current LCU) GC.REV.XGRT.CN 41585000000000 47492000000000 52280000000000 65030000000000 70992000000000 82478000000000 109873700000000 152813700000000 183765000000000 300564460000000 298518009000000 340909246754391 400311600000000 484299230634175 624432241688424 696240001001741 963844553465851 861955120629062 968560595362816

Revenue, excluding grants (% of GDP) GC.REV.XGRT.GD.ZS 16.6360890551 16.8175838714 15.8531798173 17.0137746471 15.6193171184 15.4868488516 17.5043028748 15.9888192536 16.709986166 18.2567237758 16.3855821833 16.9297091758 17.4364935419 17.45674655 18.6999610714 17.6223442588 19.476767905 15.3750240433 15.048474912

Taxes on exports (current LCU) GC.TAX.EXPT.CN 19000000000 8400000000 14000000000 131000000000 186000000000 70000000000 128500000000 4630000000000 858000000000 542300000000 231000000000 229673438570 297800000000 60024305054 940130578973 3960947771927 22764177601365 18105495831908 19759183417044

Taxes on exports (% of tax revenue) GC.TAX.EXPT.ZS 0.0485958361 0.0188764469 0.0295708009 0.2202383955 0.2919020716 0.0935691275 0.1279764483 3.236863612 0.5041563519 0.2845013645 0.1072087438 0.0920887997 0.1051951126 0.0173054956 0.2297467356 0.8067290137 3.528665634 2.8253207879 2.8243791437

Taxes on goods and services (current LCU) GC.TAX.GSRV.CN 11149000000000 13095000000000 14842000000000 21905000000000 22465000000000 25702000000000 31720100000000 38163000000000 46207400000000 78254100000000 93704500000000 110687802615406 135167200000000 72805005957168 174356618319419 199239297664308 260959523024201 271299619596367 285751748455170

Taxes on goods and services (% of revenue) GC.TAX.GSRV.RV.ZS 26.8101478899 27.5730649373 28.389441469 33.6844533292 31.6444106378 31.1622493271 28.8696020977 24.97354622 25.1448317144 26.0312439728 31.3898879749 32.4239196892 33.7420673982 14.9927742025 27.8433515443 28.5469022611 27.0111675508 31.4329875567 29.4391782228

Taxes on goods and services (% value added of industry and services) GC.TAX.GSRV.VA.ZS 5.4562999629 5.7021826033 5.4805403668 6.9287123289 5.9649320032 5.7916581046 6.0225841423 4.874407462 5.2268160903 5.6112419735 6.0837494042 6.4809638746 6.8727861367 3.0208143935 5.9998972578 5.8445742486 6.1662934227 5.7127656889 5.2423606731

Customs and other import duties (current LCU) GC.TAX.IMPT.CN 2133000000000 2652200000000 2888000000000 4093000000000 3029000000000 2807000000000 2998700000000 2306000000000 4177000000000 9025600000000 10344400000000 10884595527471 12444000000000 15179142354783 344711690871 16975871449123

Customs and other import duties (% of tax revenue) GC.TAX.IMPT.ZS 5.4555220216 5.9600133933 6.1000337952 6.8811889511 4.7536095417 3.7521220141 2.9864823009 1.6121398465 2.4543835455 4.735009249 4.8009096499 4.3642370837 4.3957286122 4.3762702621 0.0842397721 3.4574876567

Taxes on international trade (current LCU) GC.TAX.INTT.CN 2152000000000 2660600000000 2902000000000 4224000000000 3215000000000 2877000000000 3127200000000 6936000000000 5035000000000 9567900000000 10575400000000 11114268966041 12741800000000 15239166659837 1284842269844 20936819221050 22764177601365 18105495831908 19759183417044

Taxes on international trade (% of revenue) GC.TAX.INTT.RV.ZS 5.1749428881 5.6022066874 5.5508798776 6.4954636322 4.5286792878 3.4882029147 2.8461770196 4.5388600629 2.7399123881 3.1827640879 3.5426326515 3.2557170334 3.1807618592 3.1382098217 0.2051789909 2.9998164969 2.3562543655 2.0977170039 2.0356625123

Other taxes (current LCU) GC.TAX.OTHR.CN 1178000000000 1461200000000 1819000000000 457000000000 964000000000 864000000000 614500000000 627700000000 778600000000 8330600000000 9314100000000 12586654890864 16260900000000 21664405841240 38213414724199 32297223248894 33756176221568 33772269025792 39948710599666

Other taxes (% of revenue) GC.TAX.OTHR.RV.ZS 2.8327521943 3.0767287122 3.4793420046 0.7027525757 1.3578994816 1.0475520745 0.5592785171 0.4107616006 0.4236933039 2.7711759645 3.1201122207 3.6870249268 4.0592420628 4.4613627969 6.1023754081 4.6275292385 3.4940044388 3.9128816827 4.1156605952

Tax revenue (current LCU) GC.TAX.TOTL.CN 39098000000000 44499900000000 47344000000000 59481000000000 63720000000000 74811000000000 100409100000000 143039700000000 170185300000000 190614200000000 215467500000000 249404313253852 283093000000000 346851118548758 409203019335450 490988634954090 645121413086003 640829739039310 699593872211384

Tax revenue (% of GDP) GC.TAX.TOTL.GD.ZS 15.6411641187 15.7580392596 14.3564067572 15.5619918466 14.0193667847 14.0472204641 15.9964695627 14.9661706339 15.4751667002 11.5781845836 11.8269595892 12.3855323103 12.3307674978 12.5023780425 12.2544609663 12.4272818854 13.0362100279 11.4307258111 10.8695531131

Taxes on income, profits and capital gains (current LCU) GC.TAX.YPKG.CN 24619000000000 27283100000000 27781000000000 32895000000000 37076000000000 45368000000000 64947300000000 97313000000000 118164300000000 94461600000000 101873500000000 115015586781541 118923100000000 237142540090513 195348144021988 238515294819838 327641536238869 317652354585243 354134229739504

Taxes on income, profits and capital gains (% of revenue) GC.TAX.YPKG.RV.ZS 59.201635205 57.4477806789 53.1388676358 50.5843456866 52.2256028848 55.0061834671 59.1108700262 63.6808087233 64.30185291 31.4226724946 34.1264053766 33.6916630441 29.687019154 48.8348913736 31.1955295988 34.1743465713 33.9132304098 36.8034519322 36.4841886724

Taxes on income, profits and capital gains (% of total taxes) GC.TAX.YPKG.ZS 62.9674152131 61.310474855 58.6790300777 55.3033741867 58.1858129316 60.6434882571 64.6826831433 68.0321617006 69.4327300889 49.5564338858 47.2802162739 46.1161177531 42.008491909 68.3701240702 47.7386858824 48.5785775555 50.7875772828 49.5689159279 50.6199730738

Compensation of employees (current LCU) GC.XPN.COMP.CN 6787000000000 8104400000000 9810700000000 8748000000000 8851000000000 12731000000000 11085500000000 15115000000000 19124100000000 21259200000000 47661500000000 49270000000000 48350919716048 72836320300832 90305220159712 112576006722383 127379914875958 147205588898702

Compensation of employees (% of expense) GC.XPN.COMP.ZS 26.5532081377 26.630302632 27.7783440645 23.3211591267 20.4960170433 24.0889309366 14.0868964098 11.9993744289 10.7471669697 7.5809698372 15.4778060951 13.550304688 10.5398678091 12.2518637072 13.3229169126 12.3331728801 14.4269399873 15.8611802833

Goods and services expense (current LCU) GC.XPN.GSRV.CN 3688000000000 4231400000000 4445400000000 7741000000000 9401000000000 10709000000000 15357400000000 18675000000000 20452500000000 26129200000000 30033200000000 29579600000000 31867837193366 47065451829540 55867894894147 55880289862775 80567042949902 97579188176128

Goods and services expense (% of expense) GC.XPN.GSRV.ZS 14.4287949922 13.9039858049 12.5868542208 20.6366132601 21.7696369026 20.2630085147 19.5154122884 14.8255585485 11.493687674 9.3175978904 9.7531140651 8.1350231895 6.9467715062 7.9169224743 8.2423067065 6.1219197192 9.1249542341 10.51401042

Interest payments (current LCU) GC.XPN.INTP.CN 4562000000000 5385700000000 6344000000000 7565000000000 7130000000000 6426000000000 10817600000000 31264000000000 42910000000000 81121600000000 65350600000000 62485700000000 57632203689928 76685096954315 77724554787341 88361461834121 94038815561174 90973383685663

Interest payments (% of revenue) GC.XPN.INTP.RV.ZS 10.9703017915 11.3402257222 12.1346595256 11.6330924189 10.0433851702 7.791168554 9.8454862265 20.4588986459 23.3504747912 27.1747668079 19.1432349001 15.5984343896 11.868230836 12.2459940626 11.1363335186 9.1460400562 10.8954112202 9.3724068893

Interest payments (% of expense) GC.XPN.INTP.ZS 17.848200313 17.6969079618 17.9626137528 20.1674175575 16.5107447203 12.1589403974 13.7464625504 24.8196124476 24.1141248304 28.9277302414 21.2222425857 17.1849050871 12.5630662665 12.8992699298 11.4668651897 9.6803681039 10.6507556541 9.8022449448

Other expense (current LCU) GC.XPN.OTHR.CN 792000000000 731000000000 550000000000 787400000000 368000000000 434600000000 200600000000 676268923852 610960000000 44081842030405 63875898035230 50389964951002 84067540963248 108260191920781 84386880701201

Other expense (% of expense) GC.XPN.OTHR.ZS 2.1113806617 1.6927565765 1.0406811731 1.0005883571 0.2921448753 0.2442320823 0.0715333855 0.2196145583 0.1680270784 9.6092647361 10.7446229253 7.4341363111 9.2099510943 12.261456552 9.0925591777

Expense (current LCU) GC.XPN.TOTL.CN 25560000000000 30433000000000 35317800000000 37511000000000 43184000000000 52850000000000 78693700000000 125964900000000 177945500000000 280428500000000 307934468923852 363608060000000 458743132187494 594491760940372 677818684543512 912790308032852 882930926364830 928087231020758

Expense (% of GDP) GC.XPN.TOTL.GD.ZS 10.2252840267 10.7767525048 10.7096295744 9.8139889403 9.5011352045 9.9236155315 12.5369252072 13.1796430451 16.180811598 15.3926533568 15.2921666212 15.8377863394 16.5355674417 17.80332924 17.1560872499 18.4450956449 15.7491775343 14.4196423838

Subsidies and other transfers (current LCU) GC.XPN.TRFT.CN 10523000000000 11793200000000 13351700000000 13699000000000 17071000000000 22434000000000 60542900000000 95024300000000 151717900000000 164212900000000 221661800000000 276810329557747 334028993820455 403531049751310 571905008650325 472684961057015 507942189559064

Subsidies and other transfers (% of expense) GC.XPN.TRFT.ZS 41.1697965571 38.7513554365 37.8044498808 36.5199541468 39.5308447573 42.4484389782 48.0633096998 53.4007884437 54.1021686455 53.3272226958 60.961739957 60.3410296821 56.1873209634 59.5337748801 62.6545882025 53.5358935725 54.7300051742

Business extent of disclosure index (0=less disclosure to 10=more disclosure) IC.BUS.DISC.XQ 9 9 9 9 10 10 10 10

Ease of doing business index (1=most business-friendly regulations) IC.BUS.EASE.XQ 130 128

New business density (new registrations per 1,000 people ages 15-64) IC.BUS.NDNS.ZS 0.1400674 0.1563796 0.1556818 0.162078 0.2376409 0.1829897

New businesses registered (number) IC.BUS.NREG 20598 23348 23599 24938 37106 28998

Credit depth of information index (0=low to 6=high) IC.CRD.INFO.XQ 2 2 2 3 4 4 4 4 4

Private credit bureau coverage (% of adults) IC.CRD.PRVT.ZS 0 0.1 0.2 0.2 0 0 0 0 0

Public credit registry coverage (% of adults) IC.CRD.PUBL.ZS 0.4 0 8.4 20.5 26.1 22 25.2 31.8 36

Average time to clear exports through customs (days) IC.CUS.DURS.EX 3.71 2.25

Delay in obtaining an electrical connection (days) IC.ELC.DURS 14.61 15.54

Power outages in firms in a typical month (number) IC.ELC.OUTG 2.05

Time required to get electricity (days) IC.ELC.TIME 101 101 108 108

Firing cost (weeks of wages) IC.EMP.FIRE.WK 108 108 108 108 108 108 108

Cost to export (US$ per container) IC.EXP.COST.CD 486 486 607 644 644 644 644 644

Documents to export (number) IC.EXP.DOCS 4 4 4 4 4 4 4 4

Time to export (days) IC.EXP.DURS 22 22 18 18 18 17 17 17

Firms using banks to finance investment (% of firms) IC.FRM.BNKS.ZS 34.02 11.67

Informal payments to public officials (% of firms) IC.FRM.CORR.ZS 44.18 14.89

Losses due to theft, robbery, vandalism, and arson (% sales) IC.FRM.CRIM.ZS 0.22 0.37

Time required to obtain an operating license (days) IC.FRM.DURS 21.1

Firms with female participation in ownership (% of firms) IC.FRM.FEMO.ZS 42.84

Firms formally registered when operations started (% of firms) IC.FRM.FREG.ZS 29.1

Firms that do not report all sales for tax purposes (% of firms) IC.FRM.INFM.ZS 44.04

ISO certification ownership (% of firms) IC.FRM.ISOC.ZS 22.13 2.88

Value lost due to electrical outages (% of sales) IC.FRM.OUTG.ZS 3.3 2.17

Firms offering formal training (% of firms) IC.FRM.TRNG.ZS 23.83 4.73

Management time dealing with officials (% of management time) IC.GOV.DURS.ZS 3.98 1.63

Cost to import (US$ per container) IC.IMP.COST.CD 675 675 623 660 660 660 660 660

Documents to import (number) IC.IMP.DOCS 7 7 7 7 7 7 7 7

Time to import (days) IC.IMP.DURS 27 27 27 27 27 27 27 23

Time to resolve insolvency (years) IC.ISV.DURS 6 6 5.5 5.5 5.5 5.5 5.5 5.5 5.5 5.5

Strength of legal rights index (0=weak to 10=strong) IC.LGL.CRED.XQ 3 3 3 3 3 3 3 3 3

Time required to enforce a contract (days) IC.LGL.DURS 498 498 498 498 498 498 498 498 498 498

Procedures to enforce a contract (number) IC.LGL.PROC 40 40 40 40 40 40 40 40 40 40

Time required to register property (days) IC.PRP.DURS 39 39 39 39 39 22 22 22 22

Procedures to register property (number) IC.PRP.PROC 6 6 6 6 6 6 6 6 6

Cost of business start-up procedures (% of GNI per capita) IC.REG.COST.PC.ZS 136.7 130.7 101.7 86.7 80 76.7 25 25.8 23.5 22.7

Time required to start a business (days) IC.REG.DURS 168 151 151 97 105 76 62 49 47 47

Start-up procedures to register a business (number) IC.REG.PROC 12 12 12 12 12 11 10 10 9 9

Time to prepare and pay taxes (hours) IC.TAX.DURS 560 576 266 266 266 266 266 259

Firms expected to give gifts in meetings with tax officials (% of firms) IC.TAX.GIFT.ZS 11.22 14.01

Labor tax and contributions (% of commercial profits) IC.TAX.LABR.CP.ZS 10.6

Average number of times firms spent in meetings with tax officials IC.TAX.METG 0.95 0.15

Other taxes payable by businesses (% of commercial profits) IC.TAX.OTHR.CP.ZS 0.1

Tax payments (number) IC.TAX.PAYM 51 51 51 51 51 51 51 51

Profit tax (% of commercial profits) IC.TAX.PRFT.CP.ZS 23.7

Total tax rate (% of commercial profits) IC.TAX.TOTL.CP.ZS 37.3 37.3 37.3 37.3 37.6 37.3 34.5 34.5

Time required to build a warehouse (days) IC.WRH.DURS 186 186 158 158 158 158 158 158

Procedures to build a warehouse (number) IC.WRH.PROC 13 13 13 13 13 13 13 13

Investment in energy with private participation (current US$) IE.PPI.ENGY.CD 137000000 595500000 2470000000 3203600000 2725000000 330000000 125000000 187600000 829000000 158000000 105900000 611100000 305000000 2863200000 0 2300000000 35000000

Investment in telecoms with private participation (current US$) IE.PPI.TELE.CD 250000000 1249000000 1804000000 3694000000 1510600000 579300000 1259600000 642300000 1421300000 1321500000 939500000 895000000 1337600000 1676100000 3516600000 2876000000 1832900000 1107900000 813000000

Investment in transport with private participation (current US$) IE.PPI.TRAN.CD 116000000 10800000 114500000 351500000 26700000 502800000 1028000000 0 159200000 372000000 1139500000 220000000

Investment in water and sanitation with private participation (current US$) IE.PPI.WATR.CD 200000000 123200000 632000000 0 0 36700000 0 0 8100000 0 20200000 0 0

Scientific and technical journal articles IP.JRN.ARTC.SC 72 66 59 86 104 89 86 103 120 129.5 141 146.1 136 162.7 181.6 188.7 178.3 156.6 181.6 205.2 215.1 197.5 218.9 262

Patent applications, nonresidents IP.PAT.NRES 155 115 132 178 266 276 325 486 518 494 464 397 463 465 475 636 682 559 731 591 601 661 1280 3905 2031 2305 2813 3957 3939 1753 2784 3733 3714 3609 3099 3441 4069 4324

Patent applications, residents IP.PAT.RESD 3 10 8 7 4 4 8 5 1 3 3 2 9 12 5 16 40 26 49 32 62 113 34 67 38 29 61 40 79 93 152 157 212 234 201 227 235 288

Trademark applications, aggregate direct IP.TMK.AGGD

Trademark applications, Madrid IP.TMK.MDRD

Trademark applications, direct nonresident IP.TMK.NRES 540 656 451 485 261 1088 1238 1311 1410 1668 2311 1438 1507 1534 1840 1790 1343 1670 2300 2479 2383 2252 2581 4339 4682 3114 2427 2417 5251 9714 11938 12520 9581 8023 13685 10082 16005 11078 14051 5018 4525

Trademark applications, direct resident IP.TMK.RESD 2234 3683 2056 3138 2187 1813 4496 2878 3486 4276 3608 3349 4002 4354 4302 5076 6714 5425 10129 10513 10510 9802 11807 14912 15109 15728 16711 13363 22237 15696 16251 26128 20423 28317 35626 30734 36644 32181 33555 37759 43269

Trademark applications, total IP.TMK.TOTL 2774 4339 2507 3623 2448 2901 5734 4189 4896 5944 5919 4787 5509 5888 6142 6866 8057 7095 12429 12992 12893 12054 14388 19251 19791 18842 19138 15780 27488 25410 28189 38648 30004 36340 49311 40816 52649 43259 47606 42777 47794

CPIA business regulatory environment rating (1=low to 6=high) IQ.CPA.BREG.XQ 3 3

CPIA debt policy rating (1=low to 6=high) IQ.CPA.DEBT.XQ 4.5 4.5

CPIA economic management cluster average (1=low to 6=high) IQ.CPA.ECON.XQ 4.3333333333 4.3333333333

CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) IQ.CPA.ENVR.XQ 2.5 3

CPIA quality of budgetary and financial management rating (1=low to 6=high) IQ.CPA.FINQ.XQ 3.5 3.5

CPIA financial sector rating (1=low to 6=high) IQ.CPA.FINS.XQ 3.5 3.5

CPIA fiscal policy rating (1=low to 6=high) IQ.CPA.FISP.XQ 4 4

CPIA gender equality rating (1=low to 6=high) IQ.CPA.GNDR.XQ 3.5 3.5

CPIA building human resources rating (1=low to 6=high) IQ.CPA.HRES.XQ 3.5 3.5

IDA resource allocation index (1=low to 6=high) IQ.CPA.IRAI.XQ 3.65 3.675

CPIA macroeconomic management rating (1=low to 6=high) IQ.CPA.MACR.XQ 4.5 4.5

CPIA quality of public administration rating (1=low to 6=high) IQ.CPA.PADM.XQ 3.5 3.5

CPIA equity of public resource use rating (1=low to 6=high) IQ.CPA.PRES.XQ 4 4

CPIA property rights and rule-based governance rating (1=low to 6=high) IQ.CPA.PROP.XQ 2.5 2.5

CPIA social protection rating (1=low to 6=high) IQ.CPA.PROT.XQ

CPIA public sector management and institutions cluster average (1=low to 6=high) IQ.CPA.PUBS.XQ 3.2 3.2

CPIA efficiency of revenue mobilization rating (1=low to 6=high) IQ.CPA.REVN.XQ 3.5 3.5

CPIA policies for social inclusion/equity cluster average (1=low to 6=high) IQ.CPA.SOCI.XQ

CPIA structural policies cluster average (1=low to 6=high) IQ.CPA.STRC.XQ 3.6666666667 3.6666666667

CPIA trade rating (1=low to 6=high) IQ.CPA.TRAD.XQ 4.5 4.5

CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) IQ.CPA.TRAN.XQ 3 3

Burden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient) IQ.WEF.CUST.XQ 3.0135135135 3.2612984833 3.6973797069 3.8633159284 3.9

Quality of port infrastructure, WEF (1=extremely underdeveloped to 7=well developed and efficient by international standards) IQ.WEF.PORT.XQ 2.6631936822 3.0448873437 3.3962824572 3.6232083659 3.6

Air transport, registered carrier departures worldwide IS.AIR.DPRT 23500 24000 34200 42500 64800 74100 91600 105500 115300 120400 124800 142600 145300 143400 183000 185800 181500 190600 206100 193200 205400 215700 236900 227200 230500 262200 311200 194700 196700 135000 159027 164651 152278 155609 318488 320724 357414 357789 345240 330112 404547

Air transport, freight (million ton-km) IS.AIR.GOOD.MT.K1 14.1999998093 17.6000003815 19.8999996185 27.7000007629 41.2999992371 42.9000015259 43.5999984741 52.0999984741 58.9000015259 79.8000030518 121.9000015259 156 177.8999938965 189 169.8000030518 153.1000061035 222 340.200012207 455 438.200012207 458.6000061035 475.5 504.1000061035 615.5 733.700012207 782.5999755859 749.4000244141 710 429.3999938965 362 408.542 408.372 405.498 424.362 434.101 439.773 469.222 484.52 394.583 276.918 659.687

Air transport, passengers carried IS.AIR.PSGR 826400 994500 1286800 1787400 2219700 2527500 3103200 3781300 4431100 4656100 5059100 6098100 6028700 5567500 6494300 6468100 7115400 7568900 8823700 8983400 9223100 10401800 11176800 12009000 13924500 15977200 17138800 12650200 12613600 8046800 9916365 12453812 12113452 12221066 26780550 26835524 29867483 30405918 29766093 27421235 35321225

Road sector diesel fuel consumption (kt of oil equivalent) IS.ROD.DESL.KT 1161 1281 1325 1591 1668 1629 1749 1812 1946 2332 2651 3041 2998 3049 3165 3327 3605 3964 3852 4470 4860 5088 5464 6136 6670 7467 8288 7845 7948 8762 9279 9168 8765 7797 7240 6497 6730 8293 10755 12854

Road sector diesel fuel consumption per capita (kg of oil equivalent) IS.ROD.DESL.PC 9.5629735108 10.2885166725 10.3789456453 12.1577117936 12.4379291039 11.8574421008 12.4317593082 12.5809988591 13.2018412756 15.4621357888 17.1835529299 19.2763062312 18.5927457134 18.5116692032 18.8259272621 19.4025456408 20.6274192623 22.2688122027 21.2585269831 24.2478897243 25.9266648813 26.7069172664 28.2339837457 31.2282992965 33.4502941843 36.9183690067 40.4167552653 37.7455105492 37.7378600989 41.0599270103 42.9178993074 41.8579744954 39.5105942373 34.7140395486 31.8517328234 28.2578334144 28.9509999637 35.2966983086 45.3005196671 53.5871504934

Road density (km of road per 100 sq. km of land area) IS.ROD.DNST.K2 19 20 21 21 20.8111017185 23 25

Road sector energy consumption (kt of oil equivalent) IS.ROD.ENGY.KT 2523 2707 2895 3318 3606 3738 4069 4435 4771 5407 6020 6412 6192 6318 6506 6967 7557 8201 8461 9639 10360 10946 11536 12935 14158 15648 17449 17216 17324 18880 19912 20329 20634 21473 21349 20759 21928 23744.719 28334.068 31576.223

Road sector energy consumption per capita (kg of oil equivalent) IS.ROD.ENGY.PC 20.7815522548 21.7416195414 22.6770170891 25.3546748782 26.8891920555 27.208789793 28.9221432961 30.7928973179 32.3668986258 35.8506724743 39.0211198181 40.644418137 38.4010278377 38.3590442852 38.6987307322 40.630458515 43.240334914 46.0712736817 46.6948070623 52.2875635465 55.2675407758 57.4555653297 59.6096699286 65.8308427967 71.002888315 77.3668994531 85.090729081 82.8332325832 82.2560000444 88.4742549595 92.0984169641 92.8153101568 93.0133030796 95.602740955 93.9230171334 90.2884968214 94.3294988415 101.0623637967 119.3443054098 131.6383860209

Road sector energy consumption (% of total energy consumption) IS.ROD.ENGY.ZS 7.1976318507 7.4186627355 7.586691711 8.3869617778 8.7660554219 8.6928619325 8.5165869898 8.6733187925 8.915028011 9.7053021877 10.2675983438 10.6714886084 10.1198769042 9.9366628179 9.8824474821 9.5935773953 10.0765034221 10.6449359232 10.3931073394 9.7736194892 10.0141115845 10.1501990212 9.7388711975 10.9057902529 10.8227230248 11.5428102643 12.4523221786 12.5600583418 12.058054619 12.170561027 12.4930484988 12.3049205682 12.4930553773 12.125032399 11.8269596967 11.1975428775 11.8734386094 12.7032353798 14.2730760325 15.1919328096

Roads, goods transported (million ton-km) IS.ROD.GOOD.MT.K6

Roads, paved (% of total roads) IS.ROD.PAVE.ZS 45.0999984741 45.2999992371 53.5999984741 53.7999992371 53.7999992371 52.4000015259 46.2999992371 56.4000015259 47.2999992371 46.2999992371 57.0999984741 58.9000015259 58 58.3264960218 55.322 55.4242996964 53.0053784466 60.8604267736 59.1064946694 56.94078

Roads, passengers carried (million passenger-km) IS.ROD.PSGR.K6

Road sector gasoline fuel consumption (kt of oil equivalent) IS.ROD.SGAS.KT 1236 1292 1425 1563 1758 1919 2112 2393 2578 2799 3064 3053 2889 2958 3021 3295 3578 3833 4184 4687 4982 5309 5495 6150 6776 7396 8283 8489 8490 9159 9627 10125 10800 12520 12942 13112 13965 15344 17605 18893

Road sector gasoline fuel consumption per capita (kg of oil equivalent) IS.ROD.SGAS.PC 10.1807366575 10.3768645908 11.1622622978 11.9437482925 13.1090403865 13.9683433956 15.0119357684 16.6149725551 17.4893868492 18.5585411976 19.860583243 19.3523718921 17.9167586278 17.9591726805 17.9693921829 19.2159266265 20.4729281887 21.5328852606 23.0907780107 25.4250244156 26.5774988557 27.8669464951 28.3941692318 31.2995503054 33.9818880649 36.5673305442 40.3923725702 40.8440585153 40.3113276597 42.9203231554 44.5274939792 46.2273114928 48.6839039091 55.7419231946 56.9371721271 57.0288920624 60.0744003704 65.3071914684 74.1530124351 78.7631892229

Roads, total network (km) IS.ROD.TOTL.KM 288727 313897 319758 344892 356878 327227 336377 341467 355363 342700 355950 368360 370516 372629 391009 393794 421535 437759 476337

Railways, goods transported (million ton-km) IS.RRS.GOOD.MT.K6 1000 970 950 800 900 1270 1355 1575 1903 2976 3190 3465 3778.602 3955.725 3820 4170 4730 4980 4960 4698 4698 4390

Railways, passengers carried (million passenger-km) IS.RRS.PASG.KM 5900 5900 6200 6300 6100 6343 7327 7521 7744 8390 9290 9726 10458.023 12224.251 13424 15520 15207 15162 16196 25535 25535 14344

Rail lines (total route-km) IS.RRS.TOTL.KM 6458 6458 6458 6458 6458 6458 6458 6458 4992 4992 4992 5041 5041 5041 5324 5324 3370

Liner shipping connectivity index (maximum value in 2004 = 100) IS.SHP.GCNW.XQ 25.8789660729 28.8439259397 25.8449727358 26.2668186092 24.8467705974 25.6764919136 25.6013456765 25.91

Container port traffic (TEU: 20 foot equivalent units) IS.SHP.GOOD.TU 3797948 3901761 4539880 5176982 5369297 5503176 4316296 6582910 7404831 7243557.41 8371058.0664

Motor vehicles (per 1,000 people) IS.VEH.NVEH.P3 36 39.8657035917 46.9048458279 180.4818587227 59.5927356032

Passenger cars (per 1,000 people) IS.VEH.PCAR.P3 21 26.2496918093 29.5843471811 31.8783367202 34.3983498721 37.0659368375

Vehicles (per km of road) IS.VEH.ROAD.K1 21

Mobile cellular subscriptions IT.CEL.SETS 0 0 0 0 0 0 0 0 0 0 0 0 1750 2029 4531 6321 9008 12928 18096 24528 35546 53438 78024 210643 562517 916173 1065820 2220969 3669327 6520947 11700000 18495251 30336607 46909972 63803015 93386881 140578243 163676961 211290235 236799493

Mobile cellular subscriptions (per 100 people) IT.CEL.SETS.P2 0 0 0 0 0 0 0 0 0 0 0 0 0.0010624933 0.0012068817 0.0026424086 0.0036168077 0.0050604808 0.0071347414 0.0098163269 0.0130849637 0.0186580991 0.0276128774 0.0397092051 0.1056382357 0.2781198631 0.4467753369 0.5128096884 1.0545372094 1.7194966765 3.0161153867 5.3418226614 8.3372316894 13.5065560493 20.6376228577 27.7502688811 40.1730102294 59.8329655363 68.9414355261 88.0849667086 97.7195376248

Telephone lines IT.MLT.MAIN 82862 121000 143000 207500 219400 241000 275100 317100 375800 427185 475459 503253 536102 602356 677279 759127 828812 863814 1066222 1295002 1652378 1863947 2462831 3290854 4186030 4982466 5571644 6080193 6662605 7218938 7750035 8058139 10376381 13507830 14820733 19529507 30378071 33957892 37959600

Telephone lines (per 100 people) IT.MLT.MAIN.P2 0.0901196882 0.1161822743 0.1208160678 0.1547284346 0.1597006014 0.1713009716 0.1910062244 0.2151235287 0.2491711248 0.2768976257 0.3013841922 0.3121032374 0.3254884514 0.3582910029 0.3949785605 0.4343642414 0.4656069319 0.4767241232 0.5783810621 0.6908453266 0.8673333832 0.9631524396 1.2534228094 1.6503753286 2.0696585002 2.4297189785 2.6807463018 2.8869334777 3.1221875713 3.3389552127 3.5384027854 3.6324228219 4.6198037759 5.9426490633 6.4460797936 8.4011702295 12.9295261942 14.6610340704 17.0628828619 15.9361924387

Fixed broadband Internet subscribers IT.NET.BBND 0 4000 15000 38300 61600 84900 108200 194367 778770 981562 1863821 2280316 2736379

Fixed broadband Internet subscribers (per 100 people) IT.NET.BBND.P2 0 0.0018744546 0.0069379081 0.0174864793 0.0277678563 0.0377994351 0.0476016228 0.0845373296 0.335009959 0.4177727937 0.7850493711 0.9506428868 1.1292156383

Secure Internet servers IT.NET.SECR 60 60 85 103 131 169 234 320 480 820

Secure Internet servers (per 1 million people) IT.NET.SECR.P6 0.2775163227 0.2704661328 0.3784395744 0.4531392929 0.5697669967 0.7270013364 0.9959516947 1.3478536768 2.0010761037 3.3838763689

Internet users (per 100 people) IT.NET.USER.P2 0 0.0010597444 0.0261094772 0.0566239887 0.1949102636 0.2553066463 0.444415936 0.9255638645 2.0186138595 2.134135733 2.3870197796 2.6002858763 3.6020247626 4.7648131337 5.7862747293 7.9174793849 6.92 10.92 18

Daily newspapers (per 1,000 people) IT.PRT.NEWS.P3 24.5 22.89 22.91

Lead time to export, median case (days) LP.EXP.DURS.MD 2.5 2.12

Lead time to import, median case (days) LP.IMP.DURS.MD 3.9 5.35

Logistics performance index: Efficiency of customs clearance process (1=low to 5=high) LP.LPI.CUST.XQ 2.73 2.43 2.53

Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) LP.LPI.INFR.XQ 2.83 2.54 2.54

Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high) LP.LPI.ITRN.XQ 3.05 2.82 2.97

Logistics performance index: Competence and quality of logistics services (1=low to 5=high) LP.LPI.LOGS.XQ 2.9 2.47 2.85

Logistics performance index: Overall (1=low to 5=high) LP.LPI.OVRL.XQ 3.01 2.76 2.94

Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high) LP.LPI.TIME.XQ 3.28 3.46 3.61

Logistics performance index: Ability to track and trace consignments (1=low to 5=high) LP.LPI.TRAC.XQ 3.3 2.77 3.12

Arms imports (constant 1990 US$) MS.MIL.MPRT.KD 429000000 899000000 1069000000 173000000 530000000 353000000 16000000 1000000 5000000 9000000 28000000 90000000 5000000 70000000 65000000 4000000 156000000 60000000 173000000 380000000 897000000 784000000 342000000 236000000 95000000 282000000 419000000 245000000 283000000 287000000 155000000 11000000 51000000 212000000 466000000 281000000 378000000 108000000 89000000 165000000 147000000 28000000 68000000 358000000 77000000 36000000 63000000 576000000 238000000 461000000 228000000 201000000

Armed forces personnel, total MS.MIL.TOTL.P1 278100 285000 283000 278000 283000 271000 280000 460500 485200 484000 499000 499000 492000 492000 492000 497000 582000 582000 582000 582000 582000 582000 582000

Armed forces personnel (% of total labor force) MS.MIL.TOTL.TF.ZS 0.3682906119 0.3543832612 0.3535928006 0.3264919276 0.3269061174 0.5196407927 0.5301501731 0.5285561809 0.5385461156 0.5098511128 0.493841238 0.4856044803 0.477922544 0.4733900612 0.5431197613 0.5324159653 0.5237467175 0.5162426879 0.5090743641 0.4999688177 0.4933800419

Military expenditure (current LCU) MS.MIL.XPND.CN 1410000000000 1537000000000 1833000000000 2039000000000 2361000000000 2486000000000 2981000000000 3434000000000 4030000000000 4634000000000 6144000000000 6389000000000 7864000000000 14308000000000 19876000000000 21712000000000 20829000000000 23923000000000 30611000000000 31349000000000 34333000000000 42392000000000 49984000000000

Military expenditure (% of GDP) MS.MIL.XPND.GD.ZS 0.9420770143 0.8558774091 0.8692711858 0.8157024308 0.8360632427 0.7538447786 0.7799179182 0.755532102 0.756710891 0.7382561934 0.6428435768 0.5809599304 0.4776708323 0.7853627011 0.9870512542 0.9457161566 0.7507890802 0.7164254804 0.7747868254 0.6334809849 0.6124108876 0.6586422693 0.6729961042

Military expenditure (% of central government expenditure) MS.MIL.XPND.ZS 7.9773082942 7.7580258272 7.0389435356 7.9470022127 7.9520192664 7.6253547777 5.888654365 4.877549222 3.5904251583 5.1021918243 6.4546200591 5.9712647734 4.5404494451 4.0241095961 4.5161044831 3.4344142049 3.8885261547 4.5676740917

Arms exports (constant 1990 US$) MS.MIL.XPRT.KD 7000000 6000000 6000000 9000000 4000000 8000000 4000000 16000000 16000000 25000000 8000000 49000000 16000000 49000000 25000000 8000000 8000000 4000000

General government final consumption expenditure (current US$) NE.CON.GOVT.CD 401723469.748227 507509470.700923 585423338.01227 771794489.512329 833346049.255378 959134914.93012 1658792750.26506 1948385595.83614 2905204879.11325 3685951828.51084 4811879574.51566 5783282854.99992 5260167657.14089 8210657594.39577 10212738542.5007 10929061948.9341 8883377531.86577 8890773939.66878 9808388487.50803 8833114346.15979 7156066771.51604 7567064443.13314 8868399677.75963 10119870775.8862 10657021111.7348 12183386469.2467 14257437617.2067 14353349895.8491 15825045257.7254 17204969110.5433 14763283767.9479 5434199885.59383 9246329306.65485 10779164224.8088 11053285480.0226 14199987330.4344 19085795169.3866 21373634007.6269 23182542684.1098 31452114680.024 36074838967.2902 42981882961.1513 51741283202.7904 64014697920.5245 76101158008.1562

General government final consumption expenditure (current LCU) NE.CON.GOVT.CN 43000004 54000004 80000008 219000016 489000032 1279000064 26727999488 60090998784 150370992128 190848008192 281704988672 327855013888 398040989696 688398991360 808580022272 1205660024832 1529670008832 1996930023424 2556500115456 3277400047616 5148000124928 6451999801344 7228699967488 8077299941376 9121400094720 10892999655424 11328999653376 11763500187648 12755800162304 15697600053248 18648999657472 20784600842240 24731300397056 29756699443200 31014000787456 35584198311936 40299199987712 42952000798720 54415901851648 72631302750208 90779700000000 113416100000000 132218800000000 163701400000000 191055700000000 224980600000000 288079870000000 329760103000000 416866669000000 537588828000000 581921343800000 667440132900000

General government final consumption expenditure (constant 2000 US$) NE.CON.GOVT.KD 1626629159.28744 1510188424.7749 1219069966.71376 1226346197.50807 1441040451.25565 1044384959.4639 1459225176.37887 1291833893.25711 1462867276.02287 1499257768.07293 1746706639.61228 1888629994.38455 2041468317.88684 2605504945.42167 2332584036.77828 3042182383.49796 3264163451.19552 3799074736.28807 4468655556.74705 5004844539.99859 5990181653.94033 6579877080.14991 7171821115.67067 7038504232.10692 7279021261.18833 7821018280.27307 8052842180.77715 8038903791.23299 8648008973.96184 9538997130.57322 10000172706.4162 10526507651.167 11129355076.2004 11149700632.6966 11406704475.2081 11559729435.7734 11870877200.7377 11878145463.0383 10052292631.4734 10122135482.5434 10779164224.8088 11594467374.2663 13100990572.9405 14415499626.7349 14990734630.674 15985412784.7987 17521683392.8231 18203955566.2648 20102314434.6095 23253341120.6858 23320213481.1891 24058045848.0933

General government final consumption expenditure (annual % growth) NE.CON.GOVT.KD.ZG -7.158406933 -19.2769626151 0.5968673655 17.5068226398 -27.5256320144 39.7210064312 -11.4712441802 13.2395800775 2.4876140609 16.5047583417 8.1251969594 8.0925498354 27.6289679635 -10.4747799125 30.4211267646 7.2967705323 16.3873927605 17.6248393869 11.9988881766 19.687666741 9.8443663361 8.9962780202 -1.8588986174 3.4171611063 7.4460150566 2.9641140347 -0.1730865852 7.5769681856 10.3028125814 4.8346337621 5.2632585477 5.7269461536 0.1828098426 2.3050290853 1.3415352427 2.691652661 0.0612276766 -15.3715311641 0.6947952435 6.4910091689 7.5636954077 12.9934661942 10.0336615501 3.9903924167 6.6352862527 9.6104531594 3.8938734261 10.4282767634 15.6749447748 0.2875817293 3.163917721

General government final consumption expenditure (constant LCU) NE.CON.GOVT.KN 13699105423360 12718467710976 10266733445120 10328012226560 12136119009280 8795575549952 12289266679808 10879534891008 12319939624960 12626412175360 14710370992128 15905617608704 17192787640320 21942977429504 19644498837504 25620576731136 27490051424256 31994954121216 37634013396992 42149676580864 50447964438528 55414246866944 60399466577920 59276701728768 61302282125312 65866859282432 67819228102656 67701842116608 72831589154816 80335291285504 84219208400896 88651883085824 93728928694272 93900274401280 96064703037440 97353444884480 99973861474304 100035073146880 84658150703104 85246351507456 90779700000000 97646000000000 110333600000000 121404100000000 126248600000000 134625556000000 147563682000000 153309625000000 169297177000000 195834416000000 196397600000000 202611458470000

General government final consumption expenditure (% of GDP) NE.CON.GOVT.ZS 10.4368941748 10.8870975806 5.6777859735 6.4678088518 6.4957496281 5.1119106751 8.0179986848 6.7168398493 6.7963675819 6.6533261679 7.9922881676 8.4611236585 8.2647817859 9.6603299126 7.1558920097 9.0369824742 9.3721740024 9.9426921857 10.6509742353 9.5426661962 10.5247021773 11.0439171272 11.5388724559 10.4058341139 10.1478443257 11.2302666627 11.033027469 9.4246052948 8.5226568311 8.7411979586 8.8439923871 8.3148844676 8.7577006375 9.0233035012 8.1141814594 7.829063526 7.5669586926 6.8428097994 5.6935079723 6.6044571283 6.5319949727 6.8890593699 7.2574583384 8.1294864251 8.3218709605 8.1095097089 8.627168802 8.3464696793 8.4237809201 9.5891780884 9.0412812424 8.9865678887

Household final consumption expenditure, etc. (current US$) NE.CON.PETC.CD 5425526496.99524 6444118308.50875 7418971318.18405 7502805828.03288 7307085093.29064 7950836442.37108 11525601393.5036 17422704225.4651 20675407822.6506 24980637266.6602 29533173676.106 33803003917.1187 31763123170.7936 40128740658.9232 52936227450.2796 56316729658.8493 51043266092.4209 52137554948.1869 51583141330.8552 48372784274.7202 44680841120.3022 53225538909.5895 56627339532.1965 67388772034.2125 74896278912.0296 80452729506.345 92453023989.0184 105574135911.075 124466958598.082 141781319329.969 133076696497.705 64694378080.4675 103522316310.273 100175290941.521 99959432117.8707 127262929983.869 138358916195.225 161677968436.147 179132365164.647 220785033748.864 270961252160.595 319947853513.028 305507538230.25 401490333199.738 481264696804.415

Household final consumption expenditure, etc. (current LCU) NE.CON.PETC.CN 318018736 393873200 1227096256 2799782800 5877241120 21767000064 314132254720 811566489600 1909340651520 2418584649728 2738524127232 2874753515520 3299597123584 4783124578304 7230422253568 8580294246400 10366964465664 12256267075584 14942617468928 19790331445248 25160318713856 33442991570944 37249010368512 46411600625664 53490000068608 57287202832384 62041001033728 73448599584768 89722288340992 100233791930368 124184706940928 146071706664960 163312608215040 192958715396096 228119314169856 279876415258624 332094391189504 387170663661568 647823599075328 813183312855038 843653800000000 1.0256687E+15 1.1849695E+15 1.1867228E+15 1.445215045E+15 1.73843342136E+15 2.02223998187043E+15 2.476856806E+15 3.10306544895266E+15 3.17420499176E+15 3.64972110793E+15 4.22089993901E+15

Household final consumption expenditure, etc. (constant 2000 US$) NE.CON.PETC.KD 9493193232.82151 10181712921.6262 11431739490.2368 11150008415.7651 10880788872.4374 11457430909.9325 11397068574.2219 12476175933.6403 13854769167.5179 14484309054.266 14510307260.9685 15082250875.3758 14830985344.3777 15643537625.5437 18566793478.0231 20444935565.136 20924529318.0656 21454681171.2905 24600805831.4669 26017594047.6906 26847385168.8781 37480284163.4539 38480381915.8817 41973319326.6241 44496399418.4658 47440785724.0692 48263664176.9867 48928754502.2399 44587068923.838 48646394912.8289 56676560752.7076 61171201567.355 63388574383.2945 70934263775.7393 76486598615.1554 86341712862.5659 94482820055.7465 101871836909.643 95588058098.0749 100016891107.641 100175290941.521 103893628055.434 110463192955.204 110392121242.621 120267540989.933 122927727748.765 129802318179.492 140710703383.274 144652472267.551 148576201164.531 155537408948.019 161296764995.912

Household final consumption expenditure, etc. (annual % growth) NE.CON.PETC.KD.ZG 7.2527722961 12.2771735781 -2.464463739 -2.4145232298 5.2996344682 -0.5268400585 9.4682887305 11.0498059759 4.5438496963 0.1794922119 3.9416368249 -1.6659683828 5.4787477858 18.6866674435 10.1155974473 2.345782658 2.5336381295 14.6640476037 5.7591130385 3.1893461004 39.6049705686 2.6683302295 9.0771900819 6.0111521612 6.6171338447 1.7345379937 1.3780352913 -8.873484769 9.1042674187 16.5072167306 7.9303344362 3.6248639215 11.9038635367 7.8274370436 12.8847594557 9.4289387172 7.8204872055 -6.1683179593 4.6332492758 0.1583730829 3.7118306111 6.3233569014 -0.0643397232 8.9457650022 2.2118908701 5.59238388 8.4038446746 2.8013283919 2.712521145 4.6852778096 3.7028751391

Household final consumption expenditure, etc. (constant LCU) NE.CON.PETC.KN 79949541146624 85748099317760 96275542310912 93902866481152 91635559956480 96491909677056 95983551643648 105071551447040 116681754017792 121983597543424 122202548600832 127019329257472 124903227392000 131746360197120 156365364396032 172182655205376 176221686071296 180686505902080 207182461140992 219114333274112 226102647717888 315650534801408 324073133441024 353489867767808 374738681593856 399535641722880 406465739227136 412066980560896 375502279802880 409689011519488 477317264572416 515170119974912 533844335788032 597392437018624 644152953929728 727150512570368 795713088782336 857941729083392 805021155328000 842319792177152 843653800000000 874968800000000 930296200000000 929697650000000 1.012866217E+15 1.03526971238E+15 1.09316596889012E+15 1.18503393895079E+15 1.21823063113593E+15 1.2512753946E+15 1.309901123E+15 1.35840512603E+15

Household final consumption expenditure, etc. (% of GDP) NE.CON.PETC.ZS 77.1890135922 79.4099193548 87.0898651712 82.6870258169 78.0717470776 86.9984006446 94.2349615921 90.7151195359 86.2971024079 84.316481433 77.6950173371 74.1902485918 68.5116631546 67.1217738831 63.9888686413 64.3132949016 63.5176177138 61.0238162823 62.2544206854 57.6226655737 51.4383944682 57.2445193378 59.4590426611 59.7911951487 59.5093064705 59.0609184358 60.4201685542 58.845075828 59.9470251884 55.8151191541 58.892628181 58.4360206929 57.8312870781 58.5120354338 59.6827710893 61.5770577512 62.3571818038 61.6812991733 67.7814517537 73.9437972859 60.7045669934 62.3006131243 65.0426927072 58.9331972292 62.9496692048 62.6624816045 60.5603080899 62.6910594799 62.7048057966 56.619511734 56.7055244571 56.8311702929

Household final consumption expenditure (current US$) NE.CON.PRVT.CD 5443813875.69584 6472398807.89767 7446625700.90798 7546000336.30685 7356336623.30606 8018337495.90361 11645735198.2265 17692481353.4072 20932072065.5422 25301446567.1711 29933011812.5494 34216718812.4885 31323146003.4676 40821066489.9205 51115928148.5454 57336641933.9274 51043377378.063 52699964677.5606 51505883696.8521 49397296636.6978 43792928115.1122 53225547618.1761 54592497560.4651 65010496805.1395 72195846707.3192 77581381847.9103 92453018462.5293 105574130572.958 124466948805.28 141781317763.127 133076708751.72 64694378918.189 103522319514.009 101736066358.855 101322506379.014 132310082163.391 159969307925.416 171486082324.544 183992152032.632 228472909678.286 274642139809.649 309316637556.116 316748309826.621 400797723705.874 462162292767.746

Household final consumption expenditure (current LCU) NE.CON.PRVT.CN 324000000 399000000 1235000064 2832999936 5976999936 21813000192 315614003200 814301970432 1917719937024 2427599978496 2754290122752 2894130053120 3327610060800 4832980107264 7342379761664 8686809907200 10500100325376 12422199902208 15125500133376 19516199272448 25594400079872 32292999266304 37923600728064 46411701813248 54066998673408 57201402052608 63354999668736 71989003812864 89722303021056 96631999430656 119801997426688 140804999872512 157484002050048 192958703861760 228119302635520 279876393238528 332094387519488 387170699313152 647823607463936 813183338020864 856798300000000 1.039655E+15 1.2319645E+15 1.372078E+15 1.5328883E+15 1.7855964E+15 2.09265567E+15 2.5105038E+15 2.9999569E+15 3.2909959342E+15 3.6434249875E+15 4.0533635779E+15

Household final consumption expenditure (constant 2000 US$) NE.CON.PRVT.KD 9571080278.26448 10273056760.7764 11414844291.5054 11113600368.1274 10916018579.0718 11472751335.0999 11412309314.4524 12492858971.2274 13873296911.3926 14503678470.286 14529710543.0867 15102419132.8875 14850817929.093 15664456913.585 18591621312.216 20472275466.9624 20952510683.6335 21483371732.7962 24633701765.5138 26052384491.1107 26883285225.0435 37530402004.4733 38531838463.8398 42029445411.8805 44555900160.7969 47504222902.2798 48328201007.3255 48994179819.6243 45330027369.3617 48711445711.0103 57091010077.6552 61641167387.7921 63549796931.7362 71029120724.542 76588882200.0706 86227102017.9231 94609168491.5845 102008058309.154 95715992264.1558 100150634305.617 101736066358.855 105290863134.049 109329631496.105 113585717456.306 119227710717.358 123941218043.163 127874235544.066 134276568484.46 141441767887.329 148314349429.272 155344054385.059 162659413337.588

Household final consumption expenditure (annual % growth) NE.CON.PRVT.KD.ZG 7.3343495416 11.1143893908 -2.6390541622 -1.7778378069 5.1001448192 -0.5268310877 9.4682822468 11.0498160857 4.5438482498 0.1794860032 3.9416379845 -1.6659662375 5.4787486344 18.6866637942 10.1156005878 2.3457832885 2.5336393198 14.6640391085 5.7591130196 3.1893461968 39.6049689995 2.668333953 9.0771867824 6.0111541424 6.6171320315 1.7345365416 1.3780335258 -7.4787504633 7.4595550408 17.2024546682 7.9700066682 3.0963552847 11.7692331902 7.827439533 12.5843589056 9.7209186874 7.8204786444 -6.1682048941 4.6331254961 1.5830474407 3.4941362512 3.8358203569 3.8928933556 4.9671678688 3.9533656207 3.1732926003 5.0067419079 5.3361502187 4.8589477101 4.7397335341 4.7091335304

Household final consumption expenditure (constant LCU) NE.CON.PRVT.KN 80605488349184 86517376614400 96133254742016 93596246081536 91932256632832 96620934856704 96111905734656 105212052242432 116837790515200 122146722414592 122365958684672 127189181792256 125070252965888 131922537742336 156574458839040 172412905717760 176457338847232 180928131366912 207459503308800 219407330574336 226404989927424 316072616001536 324506488930304 353962549051392 375239783481344 400069895389184 407009253916672 412617977888768 381759308955648 410236854730752 480807663697920 519128066555904 535202115878912 598191300935680 645014363308032 726185285779456 796777166929920 859088955113472 806098588139520 843446147350528 856798300000000 886736000000000 920749600000000 956593400000000 1.004109E+15 1.0438051E+15 1.07692809E+15 1.1308471E+15 1.1911908E+15 1.2490701381E+15 1.3082727343E+15 1.3698810443E+15

Household final consumption expenditure per capita (constant 2000 US$) NE.CON.PRVT.PC.KD 104.0938874209 109.0259772008 118.1878176911 112.2379219274 107.5058884051 110.1595324263 106.8170084464 113.972677716 123.3609500284 125.7045968209 122.7568177275 124.3962395496 119.2762590662 122.7022995238 142.0688709555 152.6575005117 152.5126963152 152.7021763923 171.035636759 176.7417496929 178.2474299308 243.2688228303 244.2458131802 260.6547001399 270.5162626519 282.5627314383 281.8425385582 280.3393865604 254.6533467787 268.8301098216 309.6949701596 328.8374258758 333.5729498723 367.0269106891 389.7882229679 432.4320733373 467.7670006411 497.4462750681 460.5288713493 475.5247390837 476.7490822886 486.9988858693 499.1619684512 512.0181624153 530.8292247181 545.2683097945 556.1719017999 577.6286670602 602.0049932903 624.7063787292 647.6151564166 671.2431036191

Household final consumption expenditure per capita growth (annual %) NE.CON.PRVT.PC.KD.ZG 4.7381166196 8.4033555355 -5.0342716195 -4.2160737129 2.468370859 -3.0342575955 6.6989980094 8.2373008168 1.8998287481 -2.3450050102 1.3355036832 -4.1158643557 2.8723574033 15.7833810016 7.4531665417 -0.0948556055 0.1242388874 12.0060242754 3.3362128747 0.8519097726 36.47816573 0.4016093548 6.7181855632 3.78338181 4.4531403281 -0.2548789348 -0.5333304211 -9.1624798416 5.5670829472 15.2009982681 6.1810676829 1.4400806063 10.0289789174 6.2015377118 10.9402613667 8.1712087245 6.3448841809 -7.4213850961 3.2562274957 0.2574720313 2.1499367196 2.4975586053 2.5755555865 3.6739052799 2.7200998747 1.9996746207 3.8579376611 4.2200686393 3.7709629807 3.6671272245 3.6484549456

Household final consumption expenditure, PPP (current international $) NE.CON.PRVT.PP.CD 31850483085.1958 39495856363.3217 44975459941.5116 50819821862.4594 55912212887.396 58493715983.6268 62356886263.9436 67266190973.7991 80705860398.1894 85621944438.8598 103774473487.183 116192105366.11 124520624166.82 143200419977.593 160072615714.049 184498454353.692 208707504483.519 234405536189.067 251473400479.813 267716998357.789 281142685089.568 314599541662.357 338495888073.862 361729263479.948 390559377604.668 425869484520.085 455492364401.869 528187064587.24 597025791065.964 622646038845.635 666423822770.468 725920102254.797

Household final consumption expenditure, PPP (constant 2005 international $) NE.CON.PRVT.PP.KD 92372585986.7585 128956720030.865 132397715976.068 144415703950.797 153096754521.154 163227368903.827 166058607263.365 168346950543.937 155756702200.138 167375459130.566 196168146613.136 211802760979.105 218360926961.758 244060333652.209 263164008692.851 296281512057.153 325082796930.019 350505827640.69 328885910026.063 344123606976.648 349571246929.8 361785742592.561 375663193755.304 390287361264.393 409673589669.161 425869484520.085 439383569359.356 461382370662.907 486002427044.156 509617030844.243 533771520150.671 558907533781.811

Final consumption expenditure, etc. (current US$) NE.CON.TETC.CD 5827249966.74346 6951627779.20967 8004394656.19632 8274600317.54521 8140431142.54602 8909971357.3012 13184394143.7687 19371089821.3012 23580612701.7639 28666589095.1711 34345053250.6217 39586286772.1186 37023290827.9345 48339398253.3189 63148965992.7803 67245791607.7834 59926643624.2866 61028328887.8557 61391529818.3632 57205898620.88 51836907891.8182 60792603352.7226 65495739209.9562 77508642810.0987 85553300023.7644 92636115975.5917 106710461606.225 119927485806.924 140292003855.808 158986288440.513 147839980265.653 70128577966.0613 112768645616.928 110954455166.33 111012717597.893 141462917314.304 157444711364.611 183051602443.774 202314907848.756 252237148428.888 307036091127.885 362929736474.179 357248821433.04 465505031120.262 557365854812.571

Final consumption expenditure, etc. (current LCU) NE.CON.TETC.CN 361018740 447873204 1307096264 3018782816 6366241152 23046000128 340860254208 871657488384 2059711643648 2609432657920 3020229115904 3202608529408 3697638113280 5471523569664 8039002275840 9785954271232 11896634474496 14253197099008 17499117584384 23067731492864 30308318838784 39894991372288 44477710336000 54488900567040 62611400163328 68180202487808 73370000687104 85212099772416 102478088503296 115931391983616 142833706598400 166856307507200 188043908612096 222715414839296 259133314957312 315460613570560 372393591177216 430122664460288 702239500926976 885814615605246 934433500000000 1.1390848E+15 1.3171883E+15 1.3504242E+15 1.636270745E+15 1.96341402136E+15 2.31031985187043E+15 2.806616909E+15 3.51993211795266E+15 3.71179381976E+15 4.23164245173E+15 4.88834007191E+15

Final consumption expenditure, etc. (constant 2000 US$) NE.CON.TETC.KD 11109218692.6634 11684539952.3305 12650701882.2858 12375610555.1755 12316921603.1383 12504744975.6174 12852012926.385 13768553054.0527 15317756717.9923 15984206667.4801 16253466053.2762 16965943018.3388 16864442337.9279 18232851836.8786 20893167319.0526 23472172291.6851 24170819935.9609 25227689221.6334 29037647177.1845 30984017499.3348 32783785466.8283 44015596446.6198 45599318629.1325 48967569034.9698 51731628328.5265 55214083185.829 56266310823.9311 56918906551.0893 53168021031.3339 58110459316.9922 66608487294.9757 71628614409.7966 74442544521.0684 82021928689.0519 87836952891.2224 97860377662.2056 106322089230.229 113731664797.827 105641874703.965 110147396496.737 110954455166.33 115488095429.7 123564183528.145 124807620869.356 135258275620.607 138913140533.564 147324001572.315 158914658949.539 164754786702.161 171829542285.217 178857622429.208 185354810844.006

Final consumption expenditure, etc. (annual % growth) NE.CON.TETC.KD.ZG 5.1787733736 8.2687203253 -2.1745143445 -0.4742307604 1.5249213929 2.7770894284 7.1314908639 11.2517536001 4.3508325779 1.6845339365 4.3835386417 -0.5982613539 8.1141698701 14.5907810033 12.3437721684 2.9764933368 4.3725007611 15.102286706 6.7029202135 5.8086978796 34.2602625653 3.5980931996 7.3866244214 5.6446732971 6.7317712004 1.9057232818 1.1598338644 -6.5898762767 9.2958853645 14.6239215416 7.5367679386 3.9284999919 10.1815221615 7.0895970079 11.4113985527 8.6467186927 6.9689898132 -7.1130499217 4.2649013996 0.7327078944 4.0860371551 6.993004836 1.0063088718 8.3734107569 2.7021377407 6.0547627146 7.8674603279 3.6750088326 4.2941123136 4.0901465781 3.6326035908

Final consumption expenditure, etc. (constant LCU) NE.CON.TETC.KN 93559344594944 98404571021312 106541369786368 104224612417536 103730347245568 105312153501696 108236766183424 115955661275136 129002706567168 134615398350848 136883040419840 142883361390592 142028545458176 153552982900736 175957562359808 197677362970624 203561216507904 212461932249088 244548542398464 260940436078592 276097677656064 370689466957824 384027219460096 412393867837440 435672154374144 465000606990336 473862231818240 479358246453248 447769131089920 489393236213760 560961719107584 603240102100992 626938389463040 690770260525056 739743088246784 824158120312832 895420754558976 957822535729152 889692140601344 927636633157632 934433500000000 972614800000000 1.0406298E+15 1.05110175E+15 1.139114817E+15 1.16989526838E+15 1.24072965089012E+15 1.33834356395079E+15 1.38752780813593E+15 1.4471098106E+15 1.506298723E+15 1.5610165845E+15

Final consumption expenditure, etc. (% of GDP) NE.CON.TETC.ZS 87.625907767 90.2970169355 92.7676511447 89.1548346687 84.5674967056 92.1103113197 102.2529602769 97.4319593852 93.0934699898 90.9698076009 85.6873055048 82.6513722502 76.7764449405 76.7821037956 71.144760651 73.3502773758 72.8897917162 70.966508468 72.9053949207 67.16533177 61.9630966455 68.2884364651 70.997915117 70.1970292626 69.6571507962 70.2911850986 71.4531960232 68.2696811228 68.4696820194 64.5563171127 67.7366205681 66.7509051606 66.5889877156 67.535338935 67.7969525486 69.4061212772 69.9241404964 68.5241089728 73.4749597261 80.5482544142 67.2365619661 69.1896724942 72.3001510456 67.0626836543 71.2715401653 70.7719913134 69.1874768919 71.0375291592 71.1285867167 66.2086898224 65.7468056995 65.8177381816

Final consumption expenditure (current US$) NE.CON.TOTL.CD 5845537345.44407 6979908278.59859 8032049038.92025 8317794825.81918 8189682672.56143 8977472410.83373 13304527948.4916 19640866949.2434 23837276944.6554 28987398395.6819 34744891387.0651 40000001667.4884 36583313660.6085 49031724084.3162 61328666691.046 68265703882.8615 59926754909.9287 61590738617.2294 61314272184.3602 58230410982.8576 50948994886.6282 60792612061.3092 63460897238.2247 75130367581.0257 82852867819.054 89764768317.157 106710456079.736 119927480468.808 140291994063.005 158986286873.67 147839992519.668 70128578803.7829 112768648820.664 112515230583.664 112375791859.036 146510069493.826 179055103094.802 192859716332.171 207174694716.742 259925024358.31 310716978776.939 352298520517.267 368489593029.411 464812421626.399 538263450775.903

Final consumption expenditure (current LCU) NE.CON.TOTL.CN 367000004 453000004 1315000072 3051999952 6465999968 23092000256 342342002688 874392969216 2068090929152 2618447986688 3035995111424 3221985067008 3725651050496 5521379098624 8150959783936 9892469932032 12029770334208 14419129925632 17682000248832 22793599320064 30742400204800 38744999067648 45152300695552 54489001754624 63188398768128 68094401708032 74683999322112 83752504000512 102478103183360 112329599483904 138450997084160 161589600714752 182215302447104 222715403304960 259133303422976 315460591550464 372393587507200 430122700111872 702239509315584 885814640771072 947578000000000 1.1530711E+15 1.3641833E+15 1.5357794E+15 1.723944E+15 2.010577E+15 2.38073554E+15 2.840263903E+15 3.416823569E+15 3.8285847622E+15 4.2253463313E+15 4.7208037108E+15

Final consumption expenditure (constant 2000 US$) NE.CON.TOTL.KD 11141542887.2886 11737464695.2497 12611288716.4679 12315491258.5222 12318485420.0236 12504744975.6174 12852012926.385 13768553054.0527 15317756717.9923 15984206667.4801 16253466053.2762 16965943018.3388 16864442337.9279 18232851836.8786 20893167319.0526 23472172291.6851 24170819935.9609 25227689221.6334 29037647177.1845 30984017499.3348 32783785466.8283 44015596446.6198 45599318629.1325 48967569034.9698 51731628328.5265 55214083185.8289 56266310823.9311 56918906551.0893 53851685915.3621 58110459316.9922 66947307646.3776 72016966917.9322 74519034091.9317 82021928689.0519 87836952891.2224 97630199753.678 106322089230.229 113731664797.827 105641986262.877 110147396496.737 112515230583.664 116885330508.315 122430622069.046 128001217083.041 134218445348.032 139926630827.962 145395918936.889 152480524050.725 161544082321.938 171567690549.958 178664267866.248 186717459185.681

Final consumption expenditure (constant LCU) NE.CON.TOTL.KN 93831571701760 98850291318784 106209440956416 103718301204480 103743517360128 105312153501696 108236766183424 115955661275136 129002706567168 134615398350848 136883040419840 142883361390592 142028545458176 153552982900736 175957562359808 197677362970624 203561216507904 212461932249088 244548542398464 260940436078592 276097677656064 370689466957824 384027219460096 412393867837440 435672154374144 465000606990336 473862231818240 479358246453248 453526803185664 489393236213760 563815188004864 606510719696896 627582567448576 690770260525056 739743088246784 822219613667328 895420754558976 957822535729152 889693080125440 927636633157632 947578000000000 984382000000000 1.0310832E+15 1.0779975E+15 1.1303576E+15 1.178430656E+15 1.224491772E+15 1.284156725E+15 1.360487977E+15 1.4449045541E+15 1.5046703343E+15 1.57249250277E+15

Gross national expenditure deflator (base year varies by country) NE.DAB.DEFL.ZS 0.0004078868 0.0004718791 0.0011949443 0.0030066059 0.0067509739 0.0221584798 0.3041326397 0.765812255 1.6317471789 2.0300231631 2.350662245 2.4292511935 2.9872080026 4.0273835175 4.9642064878 5.3610225071 6.463612859 7.308335265 7.5408402621 9.086566146 10.8477335549 10.3780839647 10.9675565876 13.126689393 14.1683040632 14.3911063136 15.2766530435 17.9317981206 21.2354440881 22.9717819501 23.75551953 26.1650127696 27.7423090741 30.3394688536 32.3935554943 34.9409070069 37.854694666 41.4852674754 70.6681861162 83.5049231954 100 115.4327335289 125.4048007367 132.6594756811 144.0716493701 166.5248949646 188.7382282507 213.0526320899 259.9637856357 278.6968253259 305.6094702458 335.1089234284

Gross national expenditure (current US$) NE.DAB.TOTL.CD 6384452328.11534 7716393627.6792 9199152322.74846 9803427716.5589 9950084901.16646 11444838775.0554 16757502455.3639 24686343042.159 31188202764.9542 38146492460.4145 45661872897.8506 52556991972.557 50708036427.0133 67115833922.3593 87834024710.3043 93535537185.8785 86664979605.2859 84537891623.8065 85809223028.9767 80860775611.2649 74762722955.0419 86402974679.6125 98533601625.1759 112601243775.685 125995382057.132 135035816021.763 153288389730.607 174865399210.874 204829000416.821 228769447533.894 216342963881.4 86139534086.6086 128683160949.982 147664529427.412 147176282422.093 183342251868.446 217542936642.034 244837222085.564 274014784270.641 344838854223.309 414745729023.083 504860608168.278 524438708958.858 696140333434.417 834873637780.346

Gross national expenditure (current LCU) NE.DAB.TOTL.CN 399018740 506873204 1399096264 3341782816 7424241152 24994000128 358413254656 955005485056 2286305640448 2998923657216 3578251116544 3914562535424 4749608091648 6954363518976 10244832362496 12943104147456 15830794371072 18949677252608 23232817659904 31594149052416 42080956055552 55490024308736 61866273406976 78801000202240 86730799579136 95298003140608 103708801105920 122898700304384 145649490198528 174410392666112 207502704640000 245731306766336 274111909593088 319928213176320 377840411344896 460578510340096 535846688129024 629423866904576 862566804881408 1.01082551916953E+15 1.2435975E+15 1.5101537E+15 1.7071348E+15 1.86589466E+15 2.188563107E+15 2.65924283691E+15 3.15848817500001E+15 3.791190709E+15 4.89647138601735E+15 5.44888671976E+15 6.32821729173E+15 7.32220358191E+15

Gross national expenditure (constant 2000 US$) NE.DAB.TOTL.KD 11615824394.1013 12754544054.7623 13902608268.3593 13197694150.8481 13058160099.1036 13393440447.1869 13993210788.5815 14807437200.4672 16637105197.3983 17541259048.682 18074942687.7165 19134061080.731 18879420394.6273 20503629497.4817 24504811380.191 28667324382.0684 29081962958.7409 30787874023.389 36582930176.4515 41286038738.5872 46062015191.2072 63488355861.1933 66979271266.6636 71280849424.2354 72686176954.4195 78629581558.317 80609039058.3626 81380395223.2491 81441162956.0758 90151720621.2025 103718344076.834 111515666547.048 117322590775.39 125210546892.755 138498838832.531 156518559360.993 168080429333.382 180154725244.799 144932285876.701 143734314489.136 147664529427.412 155341865499.801 161640430533.849 167011043961.791 180375227258.022 189616084843.304 198708171422.25 211292982235.18 223648872845.261 232151825466.21 245873045403.83 259449090382.099

Gross national expenditure (constant LCU) NE.DAB.TOTL.KN 97825864024064 107415905239040 117084644179968 111148015812608 109972891369472 112796547153920 117847678255104 124704910213120 140113963122688 147728543776768 152223107514368 161142764732416 158998238068736 172676962320384 206374017433600 241429766995968 244921759956992 259288559779840 308093221076992 347701745025024 387923945979904 534684672983040 564084378435584 600311303503872 612146656313344 662200674942976 678871221403648 685367409770496 685879181967360 759237542150144 873492597702656 939159896195074 988064507756548 1.0544951024681E+15 1.16640611250995E+15 1.31816415140249E+15 1.41553562340556E+15 1.51722263157146E+15 1.22058715850343E+15 1.21049811255296E+15 1.2435975E+15 1.3082543E+15 1.3612994E+15 1.4065295E+15 1.51907965E+15 1.596904077E+15 1.673475588E+15 1.779462038E+15 1.88352057346924E+15 1.9551305306E+15 2.070687563E+15 2.1850219645E+15

Gross national expenditure (% of GDP) NE.DAB.TOTL.ZS 96.8492087379 102.1921782258 99.2971043612 98.6941136938 98.6216943677 99.896082623 107.5185969575 106.7484153726 103.3349139832 104.5482079328 101.5190188657 101.0251369598 98.6191760702 97.5908546766 90.6662445575 97.014583658 96.9940958414 94.3502304691 96.7933233461 91.9913387995 86.0313751111 94.9825246004 98.7545535679 101.5178515175 96.4907408107 98.2486019967 100.9993897418 98.4631889438 97.3142105384 97.1203090385 98.4048674909 98.3048672118 97.0668750469 97.0137622819 98.8542459048 101.3342603519 100.615638918 100.2753707479 90.2499235176 91.9156555469 89.4822588977 91.7289388103 93.7042212532 92.6611825498 95.3279057647 95.8534007126 94.5876941863 95.957813008 98.9448312965 97.1938820485 98.3211784666 98.5878378298

Exports of goods and services (current US$) NE.EXP.GNFS.CD 549939020.978352 850449461.653154 831624097.766871 1298928726.96986 1481077568.11673 2030161416.63614 3612714795.79759 8112644905.33012 7718352535.7494 9647266833.27229 12023764533.0506 12441087132.0365 16846773884.9321 26664131298.515 26854619167.2088 23966056268.6223 22488397277.543 22417491987.622 19389868435.5614 15601609327.9591 18173190917.4787 21110163794.2419 24640067227.7087 28982530241.0888 33063805666.8527 38801526291.7036 42274398287.0896 46896633859.5543 53185313144.4533 58717199880.0858 60106040385.3565 50555727069.5257 49720260523.8385 67621169359.8417 62625866713.1114 63956799298.5592 71553141756.8334 82744350707.5308 97387622312.8673 113143428508.797 127226102177.005 152095145102.519 130357767224.835 174323240916.275 222948755857.749

Exports of goods and services (current LCU) NE.EXP.GNFS.CN 61981256 53126792 81903800 344217312 1033758784 1383000064 44558753792 82261524480 251981365248 271109455872 474108985344 582685556736 842516987904 1499276640256 3366747635712 3203116302336 4003615735808 4989862281216 5499582414848 10496550895616 16718143422464 16965674467328 15851628527616 20447800328192 22999000416256 21533999235072 20010000973824 29873999446016 35585402077184 43614398840832 53409298251776 64484999692288 78763995955200 88230900793344 101331901612032 119592500330496 137533300146176 174871304732672 506244808835072 390560099598336 569490300000000 642594600000000 595514000000000 613720800000000 739639307000000 945121766800000 1.036316461E+15 1.1629738E+15 1.4751191E+15 1.35440938E+15 1.5846738E+15 1.9553572E+15

Exports of goods and services (constant 2000 US$) NE.EXP.GNFS.KD 9165347489.34449 9964659122.19444 9129828924.81414 8561428301.91071 9573886184.10261 9229739890.73525 9113495504.88737 9146725119.60727 10059701338.4752 11553774978.8688 13529198428.9873 15654036115.9711 18974059205.9154 22509895002.4004 23987291581.5771 23406195156.1132 27390332430.8345 29979905618.2141 30278789871.4002 30972220144.4371 32684515964.6487 26785635319.2049 24373048352.8954 24774873591.7256 26396509867.1821 24336747879.9224 28039336359.4651 32138994879.2326 32477251459.7065 34665712588.4406 35829013059.9903 42556868056.019 48391869271.8528 51347519043.2771 56452263592.518 60811041589.8699 65408368398.3635 70510204447.4101 78395483150.8973 53461815409.1799 67621169359.8417 68057312551.7023 67229102385.0236 71186462734.1372 80816802684.8184 94233454015.342 103096605730.726 111904127845.668 122572463895.097 110695022932.785 127594082026.48 144913423048.371

Exports of goods and services (annual % growth) NE.EXP.GNFS.KD.ZG 8.7210183114 -8.377910244 -6.2257532708 11.8258057708 -3.5946353106 -1.2594546241 0.3646198619 9.9814546401 14.8520675726 17.0976451743 15.7055696842 21.2087353405 18.6351046875 6.5633206153 -2.4225178715 17.0217211646 9.4543328159 0.9969486128 2.2901518719 5.5284891178 -18.047936374 -9.0070178943 1.6486458034 6.5454875863 -7.803160333 15.2139821549 14.6210968306 1.0524802712 6.7384431575 3.3557667929 18.7776732358 13.7110682303 6.1077404446 9.941560263 7.7211748829 7.560019839 7.7999744895 11.1831737906 -31.804980006 26.4849852971 0.6449802569 -1.21693046 5.8863798693 13.5283305011 16.6013141881 9.4055256787 8.5429797155 9.5334606996 -9.6901380497 15.2663224109 13.5737808108

Exports of goods and services (constant LCU) NE.EXP.GNFS.KN 77188497932288 83920120971264 76889368559616 72102426181632 80629119057920 77730796273664 76751812165632 77031664517120 84720545169408 97303297785856 113939870384128 131834776125440 159795264880640 189573279776768 202015581929472 197121718353920 230675227607040 252484031348736 255001167396864 260841081405440 275261652205568 225582604353536 205264338812928 208648420720640 222305477197824 204958624382976 236140992921600 270667396153344 273516117098496 291946845175808 301743900459008 358404384096256 407545453740032 432437272248320 475428284268544 512136933539840 550854587318272 593821104603136 660229150736384 450243401351168 569490300000000 573163400000000 566188400000000 599516400000000 680620960000000 793612984000000 868256457000000 942431430000000 1.03227776E+15 932248620000000 1.0745687E+15 1.2204283E+15

Exports of goods and services (% of GDP) NE.EXP.GNFS.ZS 15.0439941748 10.7110467742 5.8129025039 10.1658977846 13.7321836344 5.5275781369 13.3669573534 9.1950125123 11.3888853015 9.4513935681 13.4510065001 15.0376670806 17.4937236018 21.0394076065 29.7955450809 24.0088460186 24.5298548695 24.8444683234 22.9125397849 30.5623603935 34.1789969325 29.0402214187 25.3032939009 26.34251789 25.5871109092 22.2007308707 19.4872360449 23.9342584151 23.7760208094 24.2866484571 25.3285128325 25.7972393315 27.8914366214 26.7547883649 26.5114276271 26.3121645768 25.8245523827 27.8592627914 52.9681353606 35.514128704 40.9773085458 39.0321334466 32.6876211623 30.477655734 32.2166931957 34.0672668843 31.0347163143 29.4357184851 29.8082841674 24.1591195221 24.6209932938 26.327380327

Gross fixed capital formation, private sector (current LCU) NE.GDI.FPRV.CN

Gross fixed capital formation, private sector (% of GDP) NE.GDI.FPRV.ZS

Gross fixed capital formation (current US$) NE.GDI.FTOT.CD 12306680111.7542 16826105434.4813 22373211622.2483 23921866482.7386 21471195767.3365 19340800124.4537 19846117695.748 20429063140.1514 19112267492.1143 22753931907.7841 26951628495.0177 32427649194.8223 34603553047.7365 35850673812.4788 41525223401.5516 48770378875.098 57465752585.2166 67306789766.6667 61073530891.1611 24271332737.5215 28194535639.3475 32758080951.3285 31564179607.9036 38015221098.6024 45794855762.0053 57656326319.6051 67580800945.4141 87974482744.1205 107824865988.404 141330551849.431 167889043632.591 227161241304.962 271168914876.878

Gross fixed capital formation (current LCU) NE.GDI.FTOT.CN 7667800080384 10549799682048 14134500392960 15822400520192 19522899673088 19842499346432 22040700518400 26201500418048 31417700450304 38356301905920 47706001113088 59757998112768 67487999721472 72774001360896 86667297816576 105380596154368 129217496875008 157652696956928 177686102147072 243043408019456 221472303874048 275881200000000 323875300000000 353967000000000 392788560000000 515381230000000 655854250000000 805786123129580 985627100000000 1.37071697E+15 1.74435709E+15 2.06499412E+15 2.37826889E+15

Gross fixed capital formation (constant 2000 US$) NE.GDI.FTOT.KD 9383696168.99972 11857489135.2885 13382832140.9559 14202542121.5727 14754037585.1276 13868875393.4602 14866946160.3074 16234890498.4393 17127675550.3762 19098859761.8554 21947841284.7155 25476509421.1325 28763086750.9658 29794323384.5835 31760632870.0521 36129532846.5048 41185813017.1656 47163685340.4891 51204667857.0217 34302954882.0148 28061377212.9923 32758080951.3285 34884889037.4167 36522536606.996 36741783727.0339 42136690132.4668 46724174149.5551 47937545040.5973 52407184183.5781 58636369066.5172 60567505821.6134 65704400121.6155 71498785240.7345

Gross fixed capital formation (annual % growth) NE.GDI.FTOT.KD.ZG 26.3626711877 12.8639629205 6.1250860205 3.8830757116 -5.9994573456 7.1964794443 9.2012463312 5.4991750762 11.5087666489 14.917024149 16.0775180148 12.9004224068 3.5852780425 6.599611141 13.7557081886 13.9948672797 14.514396792 8.5679956673 -33.0081488317 -18.1954519384 16.7372531387 6.4924684973 4.6944325029 0.6003063873 14.6833002053 10.8871484748 2.5968803368 9.3238799342 11.8861277895 3.2934112153 8.481270989 8.8188692209

Gross fixed capital formation (constant LCU) NE.GDI.FTOT.KN 79027381469184 99861110194176 112707206381568 119610619723776 124255190646784 116800553484288 125206081306624 136726601269248 144245436448768 160846307131392 184839789608960 214557440081920 242236256157696 250921099460608 267480916295680 304274810601472 346857666510848 397201964531712 431234211643392 288891781251072 236326616039424 275881200000000 293792700000000 307584600000000 309431050000000 354865740000000 393500500000000 403719237109880 441361534049210 493822330000000 510085930000000 553347700000000 602146710000000

Gross fixed capital formation (% of GDP) NE.GDI.FTOT.ZS 22.3260070677 21.5682783584 24.1940880007 25.2566384509 25.1509857123 22.0754042481 22.7231205439 25.5169814357 25.1710308405 25.6273690629 26.5650544114 28.3392830759 26.9985902013 25.7702954507 26.2806476006 27.5706860702 28.4298098508 29.6023604939 28.3076964609 25.4295074435 20.1387594694 19.8508544472 19.6726582042 19.4291640498 19.5060596088 22.4486162493 23.640511262 24.1309915286 24.946943643 27.6985912221 31.1147663689 32.0837047853 32.0215608621

Changes in inventories (current US$) NE.GDI.STKB.CD 1378065487.32452 1950330234.55907 2311847095.27569 2367879095.35648 5267140213.66285 4168762611.4972 4571575514.86548 3225813850.23349 3813547571.1094 2856439419.10575 6086233920.20199 2664951770.76447 5838528985.63153 6549026233.69247 5052704722.83063 6167534528.85156 7071243975.79686 2476369326.71456 7429452724.58565 -8260376616.97428 -12280020306.2934 3951993309.7539 4599385216.29639 3864113455.5401 14303369515.4175 4129293322.18408 4119075476.47051 4627223050.30099 -115228093.206432 600319844.668232 -699156106.772513 3474061009.19282 6338868090.89631

Changes in inventories (current LCU) NE.GDI.STKB.CN 858617479168 1222837534720 1460532543488 1566162550784 4789199962112 4276900069376 5077100134400 4137300000768 6268900081664 4815099789312 10772999569408 4910999928832 11386999537664 13293999620096 10545500520448 13326500233216 15900399894528 5800399994880 21615100297216 -82716104065024 -96461400309760 33282800000000 47193600000000 35979500000000 122681900000000 36911132000000 39974565550000 42382200000000 -1053300000000 5822298064690 -7264190000000 31580720000000 55594620000000

Changes in inventories (constant LCU) NE.GDI.STKB.KN -5033145925632 -5472287981568 -5918180769792 -5983521734656 -6489123586048 -6954533519360 -7196379709440 -7625609052160 -8029766942720 -19517436592128 -19820149997568 -17176887033856 -15249829789696 -24878944092160 -16270445510656 -22890172907520 -24458819534848 -9061490753536 -5155843473408 9854222598144 14845748445184 33282800000000 41846800000000 13085000000000 45996700000000 25099093000000 33508308620000 29026700000000 -243060000000 2170435333310 -2065210000000 11041140000000 21858670000000

Gross capital formation (current US$) NE.GDI.TOTL.CD 557202361.371879 764765848.469527 1194757666.55215 1528827399.0137 1809653758.62043 2534867417.75422 3573108311.59518 5315253220.85783 7607590063.19036 9479903365.24337 11316819647.2289 12970705200.4384 13684745599.0788 18776435669.0404 24685058717.524 26289745578.0951 26738335980.9993 23509562735.9509 24417693210.6135 23654876990.3849 22925815063.2237 25610371326.8899 33037862415.2197 35092600965.5867 40442082033.368 42399700046.1713 46577928124.3823 54937913403.9496 64536996561.0135 69783159093.3812 68502983615.7468 16010956120.5472 15914515333.0541 36710074261.0824 36163564824.2 41879334554.1425 60098225277.4228 61785619641.7892 71699876421.8846 92601705794.4214 107709637895.197 141930871694.099 167189887525.818 230635302314.155 277507782967.774

Gross capital formation (current LCU) NE.GDI.TOTL.CN 38000000 59000000 92000000 323000000 1058000000 1948000000 17553000448 83347996672 226593996800 389490999296 558022000640 711954006016 1051969978368 1482839949312 2205830086656 3157149876224 3934159896576 4696480153600 5733700075520 8526417559552 11772637216768 15595032936448 17388563070976 24312099635200 24119399415808 27117800652800 30338800418816 37686600531968 43171401695232 58479000682496 64668998041600 78874999259136 86068000980992 97212798337024 118707096387584 145117896769536 163453096951808 199301202444288 160327303954432 125010903564288 309164000000000 371068900000000 389946500000000 515470460000000 552292362000000 695828815550000 848168323129580 984573800000000 1.37653926806469E+15 1.7370929E+15 2.09657484E+15 2.43386351E+15

Gross capital formation (constant 2000 US$) NE.GDI.TOTL.KD 1481091470.09136 2124446981.77782 1934684277.14869 1476463020.33866 1680119416.2427 1749540310.67059 1967081682.30957 1606060982.999 1957825778.86589 2485459090.05614 3295435057.60824 4012841781.091 4776519306.2522 5591120486.35645 6664917840.7968 7636913704.18974 8095091632.31538 9386449283.56721 10798091844.9951 13474662058.2208 16758377702.7601 18836098682.6579 19899928447.5625 20755326323.2003 19768699309.3437 21113103721.0742 22985305296.1464 24244711777.8836 30230763759.9727 33951082137.96 37645869462.187 41248987235.0846 45475559953.7415 45375718712.1401 52943034596.4407 59857766706.3235 62813615690.0899 66779036965.2733 40710380810.062 31250416195.8986 36710074261.0824 39853770070.1006 38076247005.7044 42203423092.4345 45116951637.415 50702944309.7402 51384169849.9353 52378323285.6408 58894086143.1002 60322283180.9931 67015422974.6224 74094279538.0929

Gross capital formation (annual % growth) NE.GDI.TOTL.KD.ZG 43.4379324085 -8.9323342148 -23.6845495786 13.7935317782 4.1319023967 12.4342017336 -18.3531117471 21.902331206 26.9499623963 32.5885857785 21.7697120696 19.0308406566 17.0542842575 19.2054053756 14.5837636204 5.9995168974 15.9523537213 15.0391539844 24.7874369995 24.3695584375 12.3981033054 5.6478243336 4.2984972428 -4.7536087773 6.8006720659 8.8674862768 5.479181005 24.6901346443 12.3063988972 10.8826791123 9.5710839579 10.2464884642 -0.2195492297 16.6770160321 13.0607022484 4.93812106 6.3129963649 -39.0371849309 -23.2372294877 17.4706731295 8.5635779069 -4.4601127102 10.8392407637 6.9035360914 12.3811393935 1.3435620938 1.9347465155 12.4398080136 2.4250262317 11.0956340521 10.5630260159

Gross capital formation (constant LCU) NE.GDI.TOTL.KN 12473419694080 17891615309824 16293476433920 12434439929856 14149588353024 14734235533312 16566320103424 13525884862464 16488368963584 20931978199040 27753413869568 33795252158464 40226772746240 47087160918016 56130441052160 64316371894272 68175043493888 79050567581696 90939104165888 113480577318912 141135292923904 158633392340992 167592727674880 174796696453120 166487545348096 177809817337856 193577078489088 204183517003776 254596702273536 285928388034560 317045056995328 347389705584640 382984951693312 382144111181824 445874345869312 504108666585088 529002162814976 562398050123776 342853683249152 263183986065408 309164000000000 335639500000000 320669600000000 355427750000000 379964833000000 427008808620000 432745937109880 441118474049210 495992765333310 508020720000000 564388840000000 624005380000000

Gross capital formation (% of GDP) NE.GDI.TOTL.ZS 9.2233009709 11.8951612903 6.5294532165 9.5392790251 14.0541976621 7.7857713032 5.2656366807 9.3164559874 10.2414439934 13.5784003318 15.8317133609 18.3737647096 21.8427311297 20.808750881 19.5214839065 23.6643062822 24.1043041252 23.3837220011 23.8879284254 24.8260070295 24.0682784656 26.6940881354 27.7566384509 31.3208222549 26.8335900146 27.9574168982 29.5461937186 30.193507821 28.844528519 32.5639919258 30.6682469228 31.5539620512 30.4778873314 29.4784233469 31.0572933561 31.9281390747 30.6914984216 31.7512617751 16.7749637915 11.3674011328 22.2456969316 22.5392663161 21.4040702075 25.5984988955 24.0563655994 25.0814093991 25.4002172944 24.9202838487 27.8162445799 30.9851922261 32.5743727671 32.7700996482

Imports of goods and services (current US$) NE.IMP.GNFS.CD 953550972.372637 1099479610.48454 1231818978.15951 1445616429.58904 1582044516.46771 1869915631.96145 3199036087.82651 5571276948.04819 6758602293.0506 8465084564.04819 9289493965.41687 10699920765.0679 12432189977.4918 15766759183.3048 22214765045.7942 22786429640.2415 23784175003.7312 19342944414.1525 17860217134.4638 16401727327.3338 17006296157.5087 18725515164.1951 21718471067.1013 27157275971.7786 30891187877.4656 34721072261.021 37555938138.7973 44869884826.9388 55882280717.1155 60116976064.6307 60700149620.052 41249713138.7794 38402068946.5996 50264686525.7451 49355201496.8912 51638440133.1563 54323619580.7712 70744689488.541 85533796566.9168 93411756735.0525 109755093425.227 146711204310.831 115216517130.994 162436733855.738 210990110712.888

Imports of goods and services (current LCU) NE.IMP.GNFS.CN 48999996 63999996 72000000 300000000 929999936 1356999936 69621997568 142635008000 325767004160 401572986880 527649996800 622407974912 776014987264 1327599976448 2312079933440 2804819951616 3513010094080 3855139995648 4729899843584 7746000257024 9885600186368 14034400182272 15071399903232 21625999196160 19844699258880 19835199160320 21036200361984 27955799523328 31565599997952 38442998169600 50045701324800 60247699881984 70481000529920 78383002157056 96952603639808 125656901877760 140811995971584 176599794188288 413058111373312 301654008135680 423317900000000 506426300000000 480815400000000 465940900000000 632376140000000 830083444000000 855587836000000 1.003271309E+15 1.42290208880128E+15 1.1970927E+15 1.4766203E+15 1.8504747E+15

Imports of goods and services (constant 2000 US$) NE.IMP.GNFS.KD 2332254340.35214 3143994831.22418 3083408879.65962 2259553041.18883 2459455903.04503 2259539345.34032 2162614323.41149 2774449960.30391 2968289794.52904 3592244514.25163 4022339727.53031 5276296755.65004 6015353129.42327 8062850608.84303 10655595256.7085 11897418261.0724 13890390326.4044 14508303184.8072 16343800881.9137 18157294579.7762 19925258296.8574 26659848662.1716 27035830083.8644 26304549465.8332 24328853094.806 25612902143.2579 26681190280.3782 27207941578.9239 22121287502.4669 24680799547.4273 30396851073.8078 35177293867.1372 38234386547.3932 39830491769.0893 47914177996.79 57946929889.6293 61924849747.1544 71037694823.7449 67279705391.8711 39913523473.2664 50264686525.7451 52365680577.3909 50140425315.7911 50924488021.542 64497541765.9161 75958076691.5379 82477305886.5028 89953261974.1096 98950897502.7884 84130571896.8383 98722450010.4245 111877633432.121

Imports of goods and services (annual % growth) NE.IMP.GNFS.KD.ZG 34.8049728894 -1.9270372509 -26.7189941595 8.8470090417 -8.1284871771 -4.2895921299 28.2914817621 6.9866040836 21.020680692 11.9728824575 31.1748164765 14.0071039974 34.0378600452 32.1566747748 11.6541870674 16.7512986566 4.448491683 12.6513602158 11.0959115995 9.7369336016 33.799262549 1.4102909077 -2.7048572793 -7.5108542482 5.2778856588 4.1708984446 1.9742421272 -18.6954755901 11.5703574879 23.1599122848 15.7267697951 8.6905283044 4.1745281298 20.2952207434 20.9390045124 6.8647637849 14.7159744655 -5.2901342607 -40.6752404149 25.9339746325 4.1798610453 -4.2494535296 1.5637336557 26.6532944595 17.7689484155 8.5826675436 9.0642583523 10.0025672568 -14.9774544547 17.3443229787 13.3254223536

Imports of goods and services (constant LCU) NE.IMP.GNFS.KN 19641722208256 26478018297856 25967777021952 19029448196096 20712985198592 19029332852736 18213052088320 23365794398208 24998269943808 30253076447232 33875241730048 44435786170368 50659952951296 67903516835840 89739029905408 100197384323072 116981747417088 122185670721536 137643820056576 152916656652288 167806049976320 224523257380864 227689688465408 221531007352832 204892136275968 215706108952576 224702991695872 229139172818944 186300514697216 207856150249472 255995452325888 296255267799040 322001415700480 335443455377408 403522445115392 488016028106752 521517175668736 598263510073344 566614567157760 336142729740288 423317900000000 441012000000000 422271400000000 428874600000000 543183810000000 639701861000000 694605345000000 757566168000000 833342233469240 708528780000000 831418300000000 942208300000000

Imports of goods and services (% of GDP) NE.IMP.GNFS.ZS 11.8932029126 12.903225 5.1100068651 8.8600114784 12.3538780021 5.4236607599 20.885554311 15.9434278849 14.7237992847 13.9996015009 14.9700253657 16.0628040404 16.112899672 18.630262283 20.4617896384 21.0234296767 21.5239507109 19.1946987926 19.7058631311 22.5536991929 20.2103720436 24.0227460191 24.0578474688 27.8603694075 22.0778517199 20.4493328675 20.4866257867 22.3974473589 21.0902313478 21.4069574956 23.7333803234 24.1021065433 24.9583116683 23.7685506467 25.3656735319 27.6464249287 26.4401913007 28.1346335393 43.2180588782 27.4297842509 30.4595674435 30.7610722568 26.3918424154 23.1388382838 27.5445989604 29.9206675969 25.6224105006 25.3935314931 28.7531154639 21.3530015706 22.9421717604 24.9152181568

External balance on goods and services (current US$) NE.RSB.GNFS.CD -403611951.394284 -249030148.831383 -400194880.392638 -146687702.619178 -100966948.35098 160245784.674699 413678707.971084 2541367957.28193 959750242.698795 1182182269.2241 2734270567.63373 1741166366.96861 4414583907.44036 10897372115.2102 4639854121.41466 1179626628.38081 -1295777726.18824 3074547573.46947 1529651301.09763 -800117999.374755 1166894759.96997 2384648630.04681 2921596160.60739 1825254269.31019 2172617789.38705 4080454030.68258 4718460148.29231 2026749032.61553 -2696967572.66222 -1399776184.54491 -594109234.695425 9306013930.74636 11318191577.2389 17356482834.0966 13270665216.2202 12318359165.4029 17229522176.0623 11999661218.9899 11853825745.9506 19731671773.7447 17471008751.7777 5383940791.68872 15141250093.8408 11886507060.5362 11958645144.8617

External balance on goods and services (current LCU) NE.RSB.GNFS.CN 12981260 -10873204 9903800 44217312 103758848 26000128 -25063243776 -60373483520 -73785638912 -130463531008 -53541011456 -39722418176 66502000640 171676663808 1054667702272 398296350720 490605641728 1134722285568 769682571264 2750550638592 6832543236096 2931274285056 780228624384 -1178198867968 3154301157376 1698800074752 -1026199388160 1918199922688 4019802079232 5171400671232 3363596926976 4237299810304 8282995425280 9847898636288 4379297972224 -6064401547264 -3278695825408 -1728489455616 93186697461760 88906091462656 146172400000000 136168300000000 114698600000000 147779900000000 107263167000000 115038322800000 180728625000000 159702491000000 52217011198719.8 157316680000000 108053500000000 104882500000000

External balance on goods and services (constant LCU) NE.RSB.GNFS.KN 57546777821184 57442100576256 50921593634816 53072973791232 59916135956480 58701465518080 58538760077312 53665872216064 59722275225600 67050223435776 80064624459776 87398985760768 109135311929344 121669762940928 112276552024064 96924334030848 113693480189952 130298360627200 117357347340288 107924424753152 107455602229248 1059346972672 -22425349652480 -12882586632192 17413340921856 -10747484569600 11438001225728 41528223334400 87215602401280 84090694926336 45748448133120 62149116297216 85544038039552 96993816870912 71905839153152 24120905433088 29337411649536 -4442405470208 93614583578624 114100671610880 146172400000000 132151400000000 143917000000000 170641800000000 137437150000000 153911123000000 173651112000000 184865262000000 198935526530760 223719840000000 243150400000000 278220000000000

External balance on goods and services (% of GDP) NE.RSB.GNFS.ZS 3.1507912621 -2.1921782258 0.7028956388 1.3058863062 1.3783056323 0.103917377 -7.5185969575 -6.7484153726 -3.3349139832 -4.5482079328 -1.5190188657 -1.0251369598 1.3808239298 2.4091453234 9.3337554425 2.985416342 3.0059041586 5.6497695309 3.2066766539 8.0086612005 13.9686248889 5.0174753996 1.2454464321 -1.5178515175 3.5092591893 1.7513980033 -0.9993897418 1.5368110562 2.6857894616 2.8796909615 1.5951325091 1.6951327882 2.9331249531 2.9862377181 1.1457540952 -1.3342603519 -0.615638918 -0.2753707479 9.7500764824 8.0843444531 10.5177411023 8.2710611897 6.2957787468 7.3388174502 4.6720942353 4.1465992874 5.4123058137 4.042186992 1.0551687035 2.8061179515 1.6788215334 1.4121621702

Trade (% of GDP) NE.TRD.GNFS.ZS 26.9371970874 23.6142717742 10.922909369 19.025909263 26.0860616366 10.9512388967 34.2525116644 25.1384403972 26.1126845862 23.450995069 28.4210318658 31.100471121 33.6066232738 39.6696698895 50.2573347192 45.0322756953 46.0538055804 44.039167116 42.618402916 53.1160595864 54.389368976 53.0629674379 49.3611413697 54.2028872975 47.664962629 42.6500637382 39.9738618317 46.3317057739 44.8662521571 45.6936059527 49.0618931559 49.8993458749 52.8497482897 50.5233390116 51.8771011589 53.9585895055 52.2647436835 55.9938963306 96.1861942388 62.9439129549 71.4368759893 69.7932057034 59.0794635777 53.6164940178 59.761292156 63.9879344812 56.6571268149 54.8292499782 58.5613996313 45.5121210927 47.5631650541 51.2425984838

Agriculture, value added (current US$) NV.AGR.TOTL.CD 3074808039.20171 3629764005.36475 4131993738.20859 4339972752.48219 4207971099.16243 4452048086.66988 6567806941.45542 8475132575.15181 9701445997.18554 11662072770.3133 14313421189.8602 15257776307.0335 15045099978.6525 18701255165.2139 21604564064.6732 22679236830.7227 19537535660.0882 19903407367.6426 20268688420.9348 19390904599.1565 17714511867.9801 19962389498.0352 21973265204.7456 22210643985.0462 23399237099.3863 25984273908.5368 28251352136.4376 30578039742.9559 34642103094.2018 37907951512.4799 34718567636.1803 17259285185.1806 27458003214.3933 25746530861.1025 24532763814.2172 30242187891.3354 35651016101.1337 36819570121.7321 37524881440.8549 47298660815.3839 59285800240.6739 73892290275.1514 82502574605.8206 108405041197.156 124676393792.781

Agriculture, value added (current LCU) NV.AGR.TOTL.CN 212000000 227000000 793000000 1866999936 3972999936 14008999936 169371992064 459938988032 1075470008320 1347029958656 1584090054656 1655500046336 1847599955968 2725639880704 3517180018688 4026100088832 4839760199680 5940069793792 6744699830272 9373999955968 11725499793408 13648899604480 15000500436992 17764699865088 20419700588544 22509999095808 24869999738880 29119999901696 33650599002112 38893999095808 40929998143488 45635998842880 52745998434304 58963399802880 66071499374592 77896236400640 88791796678656 101009502240768 172827571388416 215686731268096 216831500000000 251727000000000 281590800000000 305783500000000 329124600000000 364169300000000 433223400000000 541931500000000 716656200000000 857196800000000 985448800000000 1.093466E+15

Agriculture, value added (constant 2000 US$) NV.AGR.TOTL.KD 7200720850.13556 7324524846.33435 7534976748.74972 7262619611.03439 7629879516.39106 7691775289.10476 8009558817.18356 7927001736.4115 8805960455.74664 9024621898.77894 9495073797.3307 10072777636.6091 10229568706.5013 11182840601.8625 11599590829.361 11599590829.361 12148400910.5447 12301147969.8928 12936597490.7686 13797357166.5934 14751873143.031 15460547144.4834 15625971081.2195 15918400854.5223 16653323074.1666 17361295848.175 17810244766.5231 18192035220.1108 19083010427.9199 20569638507.0284 21152946189.4893 21193661207.9627 22451776793.7233 22928995935.5353 23056465936.8591 24065191575.8223 24820644619.4409 25069520598.3958 24735716413.7673 25270731040.2623 25746530861.1025 26584833911.5328 27501742715.4171 28543542050.2422 29348158616.9039 30145864526.6908 31157658311.8214 32238962381.0486 33795617527.0162 35133185851.688 36184377505.3926 37251979000.6793

Agriculture, value added (annual % growth) NV.AGR.TOTL.KD.ZG 1.7193278114 2.8732498944 -3.6145717073 5.0568517288 0.8112287039 4.1314718142 -1.0307319374 11.0881610546 2.4831072559 5.2129818161 6.0842480175 1.5565822611 9.3187887262 3.7266938011 0 4.7312882778 1.257342925 5.165774141 6.6536790407 6.9181073224 4.8039594334 1.06997466 1.871434241 4.6168093539 4.2512402531 2.5859182533 2.1436564101 4.8976114933 7.7903226261 2.8357702167 0.1924791852 5.9362824262 2.1255295124 0.5559336383 4.3750227885 3.1391939733 1.0026974834 -1.3315140324 2.1629235133 1.8828098803 3.2559844856 3.4489920341 3.7881211587 2.8189093184 2.7180782283 3.3563269822 3.470427907 4.8284902211 3.957815902 2.9920191643 2.9504486988

Agriculture, value added (constant LCU) NV.AGR.TOTL.KN 60642853650432 61685503098880 63457881751552 61164151111680 64257131544576 64778403840000 67454705336320 66759428145152 74161821057024 76003338616832 79965378838528 84830670815232 86151129989120 94179371778048 97689148588032 97689148588032 102311103823872 103597505249280 108949118386176 116198243041280 124236962201600 130205255467008 131598418706432 134061196574720 140250546438144 146212934123520 149993881075712 153209234522112 160712827600896 173232875372544 178145361657856 178488254398464 189083821277184 193102853701632 194176377421824 202671638183936 209033894035456 211129871630336 208318647762944 212824420777984 216831500000000 223891500000000 231613500000000 240387300000000 247163600000000 253881700000000 262402800000000 271509300000000 284619100000000 295883800000000 304736700000000 313727800000000

Agriculture, value added (% of GDP) NV.AGR.TOTL.ZS 51.4563106796 45.7661290323 56.2810478339 55.1388028772 52.7763009564 55.9912062057 50.809055508 51.410969789 48.6083745039 46.960037769 44.9424210056 42.7243446502 38.3629094967 38.2490108222 31.1268640075 30.177492156 29.6528496078 29.5755408694 28.0999886067 27.2938766107 23.9719095203 23.3628829434 23.944673606 22.8859298553 22.7175587736 23.2069494557 24.2202664549 23.3301739177 22.4833020121 21.6580970559 19.4104026292 18.2566920974 18.6780984703 17.879827462 17.28626174 17.1383538803 16.6723869932 16.0921214127 18.0828603782 19.6126699626 15.6019712328 15.2902652094 15.456451726 15.1853485203 14.3357798335 13.1266183575 12.9738027192 13.7166831035 14.4817402608 15.2901480534 15.3108660572 14.7226784225

Manufacturing, value added (current US$) NV.IND.MANF.CD 482360973.3713 701497181.56564 894953987.141104 994136950.531507 908123585.536978 1256298826.64096 1822756558.03374 2495783168.61687 3151951867.06506 4074554094.11084 5095301139.73976 6370998985.58756 6424582060.11141 10133176289.6837 11185892940.1209 11312479761.0724 10883905318.1531 12781352523.5817 13959732929.8284 13398358765.1415 12866381414.5236 17490895110.1996 20022484777.8491 23642696918.8477 27369354808.2949 30550957835.0855 35243317469.1456 41300843189.5666 48780906154.222 58244461019.5995 57805514905.4836 23857255361.7457 36393181440.3307 45785820936.1938 46615184727.2942 56190403265.5596 66329892801.8086 72083391952.8323 78349458987.1092 100393878671.179 116907767202.713 141920811741.003 142208857798.986 175544920850.858 205632519107.76

Manufacturing, value added (current LCU) NV.IND.MANF.CN 38000000 54000000 125000000 252000000 629000000 2091000064 30840000512 72152997888 207847997440 291754999808 362859986944 357273993216 521364013056 756443971584 1035750014976 1308060024832 1690939949056 2114549972992 2816300023808 4002900082688 6353400102912 7066799833088 7482300170240 9896299855872 13112900059136 15503399583744 17184199802880 21150400774144 29484401033216 35441000579072 43568999694336 53378998599680 62016001671168 73556331331584 89240796921856 109688750342144 136426003890176 168178202181632 238897002971136 285873895636992 385597900000000 478311400000000 523199600000000 568920300000000 644342600000000 760361300000000 919539300000000 1.0686539E+15 1.3764417E+15 1.4775415E+15 1.5957794E+15 1.8034863E+15

Manufacturing, value added (constant 2000 US$) NV.IND.MANF.KD 1311178656.74978 1470769407.09443 1488022440.99531 1462137536.3123 1440573173.80577 1427631219.49513 1453514381.07014 1505276221.94246 1634661151.9045 1871887442.11024 2048721265.73867 2113422321.75194 2432580664.00648 2803513546.92016 3256387446.43803 3657503489.33042 4011179852.12724 4563277434.98606 5331004947.06166 6212469259.62926 7624025661.71917 8223152796.26432 8321976062.7977 10329039413.1464 12607320406.6137 14018179067.4755 15320402257.895 16945609414.5832 18977921933.2282 21521650384.326 24169027024.8823 26561684788.4905 29176994218.3429 32078613618.3495 36044030909.286 39963824589.6404 44596443856.6561 46938352276.1207 41570245026.4092 43200351810.6507 45785820936.1938 47296891869.5467 49798027203.0119 52453892381.3802 55802058141.2257 58367906670.5102 61044171348.0377 63892062545.2666 66228838235.3316 67693861870.8153 70903683879.378 75310355665.1528

Manufacturing, value added (annual % growth) NV.IND.MANF.KD.ZG 12.1715488216 1.1730617878 -1.7395506929 -1.4748518502 -0.8983892346 1.8130145392 3.5611509282 8.5954277412 14.5122608395 9.4468192718 3.1581190226 15.1014938647 15.248533724 16.1537974381 12.3178230321 9.6698844944 13.7639697848 16.8240376136 16.5346744436 22.7213422409 7.858409207 1.2017685793 24.1176294573 22.0570461815 11.1907892824 9.2895317156 10.6081232681 11.9931509627 13.4036195325 12.3009926901 9.8996859127 9.8461729769 9.9448880111 12.36156069 10.8750147569 11.5920318302 5.2513344494 -11.4365055214 3.9213307095 5.984833496 3.3003032434 5.2881600346 5.3332738816 6.383064455 4.5981252569 4.5851647424 4.6652958576 3.6573802707 2.2120630144 4.7416736464 6.2150110469

Manufacturing, value added (constant LCU) NV.IND.MANF.KN 11042452144128 12386489597952 12531790774272 12313793921024 12132183703552 12023189471232 12241171644416 12677098242048 13766749061120 15764615593984 17253870338048 17798768099328 20486647971840 23610561396736 27424563658752 30802672877568 33781255766016 38430897602560 44896526270464 52320020725760 64207831695360 69253545852928 70085813207040 86988849938432 106176020742144 118057955491840 129024986710016 142712116346880 159827795902464 181250505572352 203546117013504 223696543285248 245722091880448 270158878736384 303554732490752 336566354444288 375581233381376 395304260075520 350095266545664 363823659745280 385597900000000 398323800000000 419387800000000 441754900000000 469952400000000 491561400000000 514100300000000 538084600000000 557764400000000 570102500000000 597134900000000 634246900000000

Manufacturing, value added (% of GDP) NV.IND.MANF.ZS 9.2233009709 10.8870967742 8.8715396964 7.4424096419 8.3554729012 8.357314319 9.2515372748 8.065103614 9.3941748457 10.1711366716 10.2947469757 9.2203544509 10.8254172572 10.6152077757 9.1663348736 9.8045180865 10.3602628925 10.5283205952 11.7333610944 11.6550737631 12.9890525007 12.0962731113 11.9436838892 12.7492176084 14.5885135041 15.9834129268 16.7352594455 16.9451418323 19.6996996408 19.7352971704 20.6619072704 21.3542809758 21.9607367446 22.3049301319 23.3480364164 24.1331893158 25.6166359717 26.7929649036 24.9956712045 25.9948784661 27.7454490848 29.0533322157 28.7183010258 28.2528424057 28.065825681 27.4075068902 27.5375740802 27.0484127488 27.8142729854 26.3554743673 24.7935404155 24.2825555017

Industry, value added (current US$) NV.IND.TOTL.CD 761517044.092417 1188111745.98748 1577757664.58896 1804520495.69315 2047770689.66265 2928554275.16145 4556530039.05542 9306771001.98554 10760939722.3325 13398602053.706 16577855428.7807 19404366566.4737 20774403726.6889 32543900683.2574 38109882225.7458 35899883107.4769 33999955779.2856 34272473768.5174 31309946417.2066 27014719404.5552 27527573488.8681 33087620734.1035 38903200783.9212 44761531613.1549 51782272683.6512 55151433993.8052 62697845958.7885 71892581753.5874 84492896438.9454 98804892528.9185 95639212934.1565 43168320269.2947 60704690922.7888 75786549794.5361 74535377587.1767 86996428776.6947 102711934076.164 114620174270.013 133046275218.22 171142379024.09 202273722787.441 245227330373.474 257121301951.696 332649235643.332 399292414285.877

Industry, value added (current LCU) NV.IND.TOTL.CN 62000004 81000000 167000000 430000032 1321000064 3150000064 39799000832 113909998336 352027996160 514348998656 658649980928 805633972224 1215350024192 1890959966208 3862309965824 4465789984768 5560419852288 6879810002944 8577700003840 12943699935232 20404699971584 24076299567104 23744900071424 30914800123904 35161499729920 34772198916096 34648000102400 45251201007616 55775800655872 68861001859072 82487000694784 100991999279104 111953001316352 130856680423424 155341896024064 189990735183872 231430704594944 278250802118656 432270274985984 476844446973952 638257300000000 764796300000000 810040400000000 880973900000000 1.0245725E+15 1.2911798E+15 1.5675472E+15 1.8489841E+15 2.3783765E+15 2.6714749E+15 3.0239257E+15 3.5019675E+15

Industry, value added (constant 2000 US$) NV.IND.TOTL.KD 4138656825.88305 4386598996.98446 4489860216.46843 4291635469.57879 4412945825.28565 4524157609.34185 4517570653.25112 4741130727.77506 5981376468.42059 7172853533.63348 8283499693.01839 8649353657.27085 10465838528.4496 12633738951.3581 13713021617.6375 14066486068.3054 15790275444.5931 17949233225.4658 18898786822.4622 19983739071.9971 22012443855.1271 23344730180.0892 21999967186.1429 25452432617.4693 28198186288.9127 28726529294.0716 30754753975.4572 32696518508.2587 34943374750.8254 40582837100.1716 44750992791.6383 49182399624.6641 57912239052.3803 57081623192.0966 63456509776.1891 70068741928.8772 77558719597.7372 81569629019.1101 70189544293.1118 71570946421.0126 75786549794.5361 77858511962.9198 81177396485.9046 84225672984.5367 87545068088.6996 91663154643.0628 95777500893.4475 100298198517.654 104047502973.713 107781026909.177 113021584624.493 119029177756.973

Industry, value added (annual % growth) NV.IND.TOTL.KD.ZG 5.9908850029 2.3540154811 -4.4149425 2.8266696127 2.5201257495 -0.1455951949 4.9486790951 26.1592816536 19.9197805305 15.4840211664 4.4166593567 21.0013943603 20.7140633502 8.5428602762 2.5775825381 12.2545841791 13.6727050041 5.2902181674 5.7408565943 10.151777782 6.0524235007 -5.7604563581 15.6930480946 10.7877848562 1.8736772633 7.0604585073 6.3137053034 6.8718516377 16.1388600545 10.2707350922 9.9023654149 17.7499257749 -1.4342665279 11.168019106 10.4201005949 10.6894707435 5.1714487322 -13.9513748718 1.9681024315 5.8901042732 2.7339444453 4.2627125016 3.7550803926 3.9410728185 4.7039617928 4.4885496974 4.7199995636 3.7381573263 3.5882878769 4.8622265584 5.3154387743

Industry, value added (constant LCU) NV.IND.TOTL.KN 34854838206464 36942951481344 37812594278400 36143189983232 37164838551552 38101439217664 38045965352960 39928738086912 50373809143808 60408161370112 69761773862912 72842913775616 88140941361152 106398511792128 115487987990528 118464786202624 132982153150464 151164410658816 159161337774080 168298561929216 185383857946624 196604074131456 185278782242816 214354670649344 237478791348224 241928377466880 259009630175232 275362734931968 294285253541888 341779538771968 376882809798656 414203122810880 487723869667328 480728609456128 534416472408064 590103206428672 653182116036608 686961094295552 591120576806912 602754435252224 638257300000000 655706900000000 683657800000000 709329700000000 737284900000000 771966500000000 806616600000000 844688900000000 876264700000000 907707600000000 951842400000000 1.002437E+15

Industry, value added (% of GDP) NV.IND.TOTL.ZS 15.0485446602 16.3306451613 11.8523770344 12.6993507308 17.5478223167 12.5899281845 11.9391029048 12.7326094015 15.9107260461 17.9311887224 18.6866426257 20.7914119769 25.2350963932 26.5359150062 34.1812464594 33.4731723658 34.0682775248 34.2544968291 35.7366937662 37.6876200744 41.7158867533 41.2115104365 37.9029942638 39.8269575337 39.1182737092 35.8488092014 33.7428147737 36.2540656957 37.2660281926 38.3452022498 39.118152157 40.4018731241 39.6441293121 39.6804606932 40.6420423221 41.8008443541 43.4556165484 44.3289551135 45.2282177283 43.3600746186 45.9253938368 46.4548429773 44.4629239973 43.7495669608 44.627614537 46.5410578694 46.9435587411 46.7991415207 48.060744769 47.6521222921 46.9825741932 47.1512981185

Chemicals (% of value added in manufacturing) NV.MNF.CHEM.ZS.UN 8.9482742357 11.1961664136 9.2178241736 8.8291039231 9.0596208119 8.4813501108 9.4307092489 13.4805179501 11.392867279 10.5325953975 10.9541382 8.8849536781 11.7260799816 9.4849294626 10.9463498291 11.3235342336 6.4853290487

Food, beverages and tobacco (% of value added in manufacturing) NV.MNF.FBTO.ZS.UN 27.4790062856 25.9730896438 25.0948206761 23.3266399671 20.2324150453 19.0010613704 16.180186437 21.3191494018 19.6876836216 18.0031023121 20.917740539 19.4532948077 25.0280972895 24.7774198767 24.9601149527 25.5356225702 25.64041344

Machinery and transport equipment (% of value added in manufacturing) NV.MNF.MTRN.ZS.UN 8.8368586672 8.4237563156 9.2106034383 10.4614413912 12.6778610348 12.9576424921 12.4504532385 14.3742280624 14.0190608003 20.2294526092 18.7422682528 17.2934337895 17.4389969812 18.5579847756 20.0773146915 17.9489320646 17.8015281068

Other manufacturing (% of value added in manufacturing) NV.MNF.OTHR.ZS.UN 40.1250902397 39.4295098328 39.8812695527 37.1845316589 36.6912160278 40.7235679504 43.8914238705 33.2801871348 35.322213579 34.5077112044 36.8041781644 39.9945503046 32.2436413824 34.4978850219 32.4825825414 32.1114987509 38.4142173078

Textiles and clothing (% of value added in manufacturing) NV.MNF.TXTL.ZS.UN 14.6107705718 14.9774777942 16.5954821593 20.1982830596 21.3388870802 18.8363780763 18.0472272052 17.5459174508 19.5781747202 16.7271384769 12.5816748437 14.3737674201 13.5631843653 12.6817808633 11.5336379854 13.0804123806 11.6585120967

Services, etc., value added (current US$) NV.SRV.TETC.CD 2144515293.42693 2649487727.49559 3089206039.55828 3512246765.76438 3593376163.99039 4224482197.8988 6046844182.8241 9445807422.30361 11685567288.1349 14267999905.6193 17504866846.8434 19636015466.0184 19303116629.1124 26768050189.0983 32759432541.3 36136043876.0596 31831710439.724 33436558061.116 35760239491.9329 33655033608.1785 30687532358.1636 35737613077.5206 40578731797.1164 47454322446.7945 52986490063.482 57980562150.1036 67057651783.6736 74421526746.9462 82997033311.0117 90656827307.9506 85391074076.3676 35017942562.8797 51838658390.0385 63487931605.8701 61378806236.9196 78421994365.819 96409508640.7991 105397138912.808 115297453357.516 146129486157.581 170657214746.745 191124928311.341 199956082495.183 266972563654.465 322863474846.549

Services, etc., value added (current LCU) NV.SRV.TETC.CN 137999996 188000000 449000064 1089000160 2234000000 7861000256 124179017984 320783015168 785021997056 1007081168896 1281970069504 1413706098688 1753160112128 2509440335872 3920010080256 4849510424576 5921219960832 7264519741440 8680100397056 12026999799808 16783299526656 20696099422208 23901101522944 28943301345280 34303900418048 39714605203456 43164601876480 50445699317760 60242892619776 71826792382464 87449302728704 103340608454656 117695905267712 139956031586304 160806313918464 186627137208320 212345491030016 248435073089536 350655655968768 407200432390142 534681100000000 629798700000000 730202200000000 826917160000000 942129174000000 1.11893205971E+15 1.33844620000001E+15 1.5599776E+15 1.85365569721607E+15 2.07753169976E+15 2.42689629173E+15 2.83165258191E+15

Services, etc., value added (constant 2000 US$) NV.SRV.TETC.KD 6613882128.91133 7291745451.50754 7372869697.50922 7411342581.07255 7591510721.27646 7616765865.94308 7856906383.69796 7964587128.99088 8383900223.27015 8779797898.86187 9285263358.65681 10221369126.5014 10640481016.3152 10675022444.3077 12046427100.8214 13987397772.4397 14163959671.2212 15580910245.5037 18175554383.0508 19758541472.0212 21477447157.7429 24161775695.6307 25909477525.3994 27693326434.6376 29252338318.2392 30552931951.7005 32691229420.5766 34717432096.6902 37042534962.9772 38393278311.4326 42684973544.714 48002711945.8552 46981688929.0157 56211866090.8419 60197511402.9927 65027127770.84 69150819267.5555 73011881165.2192 60993030032.8495 60364447361.4051 63487931605.8701 66590151599.6595 70049968401.7598 74503803639.607 79801261471.3207 86082442997.3545 92392312061.2048 100706687208.035 109427318736.84 115802063741.292 125538715290 136203723240.697

Services, etc., value added (annual % growth) NV.SRV.TETC.KD.ZG 10.2490989314 1.1125490672 0.521816947 2.4309784392 0.3326761378 3.1527884929 1.3705234609 5.2647185283 4.7221181675 5.7571423126 10.0816286161 4.1003498125 0.3246228055 12.8468550176 16.1124178594 1.2622926841 10.0039156223 16.6527121758 8.7094294656 8.6995575466 12.4983594101 7.2333335587 6.8849281406 5.6295580355 4.4461185267 6.9986653728 6.1980008462 6.697220174 3.6464657449 11.1782463547 12.4581040107 -2.1270111114 19.6463289682 7.0903985036 8.0229502105 6.3414941396 5.5835374599 -16.4615004306 -1.0305811518 5.1743772717 4.8863144779 5.1956884299 6.3580831504 7.110318632 7.87103037 7.3300301945 8.9989902421 8.6594363995 5.8255516795 8.4080121149 8.4953935733

Services, etc., value added (constant LCU) NV.SRV.TETC.KN 55700629749760 61409442398208 62092652576768 62416662560768 63933998170112 64146691325952 66169100828672 67075963879424 70607324577792 73941485879296 78198402449408 86082074968064 89611741167616 89902641315840 101452303302656 117798722338816 119285686992896 131218926469120 153070436614144 166401998323712 180878235926528 203485047947264 218203800207360 233226975051776 246356622966784 257309930422272 275318191423488 292382415257600 311963909357568 323339566448640 359483259748352 404268058148864 395669231632384 473403710504960 506969920110592 547643864383488 582372667949056 614889664020480 513669599330304 508375817256960 534681100000000 560807300000000 589945100000000 627454300000000 672068300000000 724967000000000 778107300000000 848129100000000 921572300000000 975258970600000 1.057258863E+15 1.1470771645E+15

Services, etc., value added (% of GDP) NV.SRV.TETC.ZS 33.4951446602 37.9032258065 31.8665751317 32.161846392 29.6758767269 31.4188656098 37.2518415872 35.8564208096 35.48089945 35.1087735086 36.3709363687 36.4842433729 36.40199411 35.2150741717 34.691889533 36.3493354782 36.2788728675 36.1699623015 36.1633176272 35.018503315 34.3122037264 35.4256066201 38.1523321302 37.2871126109 38.1641675172 40.944241343 42.0369187714 40.4157603866 40.2506697954 39.9967006942 41.4714452138 41.3414347785 41.6777722176 42.4397118448 42.0716959379 41.0608017656 39.8719964584 39.5789234739 36.6889218935 37.0272554188 38.4726349304 38.2548918134 40.0806242766 41.0650845189 41.0366056295 40.3323237731 40.0826385397 39.4841753758 37.4575149702 37.0577296544 37.7065597496 38.126023459

Adjusted savings: education expenditure (current US$) NY.ADJ.AEDU.CD 649800292.096443 606810970.163234 683934514.333819 695362355.534367 763385651.857844 737441360.815964 1005100339.67974 1196709616.01104 1276085777.29276 2118829692.92594 1032368781.52666 2881216745.40694 3348574761.78147 3194744547.70687 3840005644.45272 5028892249.32544 5458929938.86484 6058319870.68176 7775406983.00464 13714154867.8821 18791798674.0778 19874691801.1963 29718447910.8667

Adjusted savings: education expenditure (% of GNI) NY.ADJ.AEDU.GN.ZS 0.7673440602 0.6262634426 0.6262634426 0.6262634426 0.6262634426 0.485182825 0.5838543137 0.6099815351 0.5766930171 1.0116644423 1.1462677262 2.2276688631 2.2276688631 2.2276688631 2.2276688631 2.2276688631 2.2276688631 2.2276688631 2.2276688631 3.30907 3.818605 3.818605 4.32814

Adjusted savings: carbon dioxide damage (current US$) NY.ADJ.DCO2.CD 58274717.5987628 66594273.6472456 77221316.4791905 92402602.7697303 105153803.073177 121163169.444573 146746704.781469 208182797.614885 253870800.770658 278394128.126628 302781606.693485 349932135.356831 390738506.090784 404450291.651786 448534992.668894 499444159.698873 512567556.070336 534516802.305195 592262066.114867 609071105.353798 722412161.927068 898877793.89985 1037160732.60487 1143934271.07071 1183062643.41373 1226951530.90909 1407883429.10268 1576237032.47656 1202502870.85849 1379138076.72292 1530717619.2631 1752967639.47771 1870345277.41245 1963334179.06201 2160478399.67399 2249836576.37006 2335702890.81387 2621213743.41748 2950336568.87253 3027050108.59129 3242291216.3605

Adjusted savings: carbon dioxide damage (% of GNI) NY.ADJ.DCO2.GN.ZS 0.6009026772 0.6756493716 0.6738703505 0.5476432977 0.3972872858 0.3866770915 0.3777486439 0.4374739629 0.4767276205 0.5278595922 0.4047541628 0.3913048195 0.4335508246 0.4939762183 0.5436790835 0.6033641601 0.6743933617 0.7433717716 0.6993976212 0.6285960307 0.6614965585 0.8095553307 0.850862011 0.7526256198 0.6872311156 0.6253963102 0.6362554593 0.7525960976 1.3351723301 1.0663074745 1.0183233827 1.2223297889 1.0850270347 0.8697061304 0.8816435665 0.827274062 0.6691833128 0.632469142 0.5995258979 0.5815993926 0.4722013191

Adjusted savings: net forest depletion (current US$) NY.ADJ.DFOR.CD 0 0 11148733.7396592 74891696.2234799 54380318.33185 0 54619896.1307117 24052331.7683693 56737939.3630667 24440575.3814219 37333107.2761429 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Adjusted savings: net forest depletion (% of GNI) NY.ADJ.DFOR.GN.ZS 0 0 0.0972892131 0.4438612578 0.2054572297 0 0.1406000341 0.0505434119 0.1065445208 0.0463414665 0.049906369 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Adjusted savings: consumption of fixed capital (current US$) NY.ADJ.DKAP.CD 600000000 607493243.461802 718072289.156626 1057831325.3012 1677108433.73494 1978313253.01205 2424096385.54217 2978313253.01205 3354824207.56123 3352807126.4173 4724158353.61706 5559072979.79008 5860119289.02743 4268306049.2239 4380373371.40817 4367087640.61393 4002931453.85264 3796575169.6869 4214866349.76805 5072709231.76104 5721153925.13397 6408179347.07604 6955938999.72369 7900435642.0263 8844614138.60928 10106732639.4265 11368312959.4444 10787522174.5399 4772309845.02911 7000121026.79205 7509817950.07316 7151746959.91571 18943117467.2453 23148345620.9241 25533079176.0873 25973590805.9034 34280454041.1295 41582817229.2163 50174136344.4154 53369243249.0059 72425255256.2142

Adjusted savings: consumption of fixed capital (% of GNI) NY.ADJ.DKAP.GN.ZS 6.1869301336 6.1634793158 6.2662441828 6.269457981 6.3363743224 6.3135391579 6.2399978504 6.2586078986 6.299808236 6.3572152698 6.3151879674 6.2163254783 6.502199068 5.2131046125 5.3095464546 5.275753285 5.2667211727 5.2800338503 4.9773025612 5.2353245129 5.2387318927 5.7713916014 5.706487008 5.1979125216 5.1377617878 5.1515590813 5.1376065905 5.1506511547 5.2988281442 5.4122799592 4.995972557 4.9868538099 10.9893049279 10.2541168542 10.419486254 9.5505950059 9.821415168 10.0334620933 10.1956822356 10.254048775 10.5478807381

Adjusted savings: mineral depletion (current US$) NY.ADJ.DMIN.CD 15708461.2264574 19128561.9477288 21677503.0571889 60621385.0055586 130704739.869086 72760971.1658468 87100089.4590409 127624272.389722 143596309.575732 225879937.794884 263124011.493756 188356045.64901 130925941.384043 137427540.676678 142344537.451968 137695608.309465 95533821.6299987 140956476.616045 542392080.840178 615404640.982911 478494039.364984 498966240.916631 592926610.261079 487663663.23472 651710301.362069 1106460550.35572 1102964164.75279 991972562.396844 976177922.537444 980580035.053054 1639960176.27371 1392019232.85446 1623568051.39699 2004094084.58548 2551229133.76435 3911501551.55103 6163203961.37432 9970335868.84403 5528463544.4553 6288688527.34592 8916533971.68482

Adjusted savings: mineral depletion (% of GNI) NY.ADJ.DMIN.GN.ZS 0.1619785869 0.1940737567 0.1891683184 0.359285282 0.4938226658 0.2322075333 0.2242090596 0.2681888073 0.2696502582 0.4282880988 0.3517404513 0.2106254927 0.1452711954 0.1678474172 0.1725389299 0.1663461139 0.1256953827 0.1960332496 0.6405065473 0.6351325998 0.4381462232 0.4493834233 0.4864228968 0.3208472515 0.3785730198 0.5639801803 0.4984553101 0.473630973 1.0838774551 0.7581545593 1.0909979562 0.9706434601 0.9418663226 0.8877617116 1.0411003196 1.4382750334 1.7657696365 2.4057289444 1.1234165978 1.208271187 1.2985875797

Adjusted savings: energy depletion (current US$) NY.ADJ.DNGY.CD 0 291511325.057733 384377151.345973 770685093.333889 3316631750.88543 2944160084.29005 3787253094.37789 4875475270.78305 4938066059.11899 11864550392.4441 14051020238.1482 13656240527.0406 9598860558.26635 8826145788.74555 10074403989.0311 8104233567.5885 4204987468.42609 4832726758.85976 3470145136.45418 5124091566.38897 7949474753.24026 7288518135.36745 6534612690.74584 6354596256.36699 6243867798.63865 6921501445.39346 9318733804.71859 8543401130.36233 4642672041.72693 5551622039.57236 12438372499.198 10720098236.6468 8846010353.86391 12142960161.1957 17307944316.6915 24928848095.4046 26827086808.1983 30077281777.7814 52702048833.9092 24803810854.9076 36394423639.5978

Adjusted savings: energy depletion (% of GNI) NY.ADJ.DNGY.GN.ZS 0 2.9576033012 3.3542599053 4.5676259472 12.5307462776 9.3959184426 9.7489733943 10.245291696 9.2728761046 22.4962242324 18.7832048156 15.2708259515 10.6505856106 10.7798318095 12.2114056147 9.790492059 5.5325695147 6.72104719 4.0978671308 5.2883540053 7.2791551259 6.5642501676 5.3608409194 4.1808625432 3.6270101648 3.5279971183 4.2113538201 4.0791646298 5.1548876912 4.2923447453 8.2747368941 7.4750355449 5.1317585578 5.3790164744 7.0629901959 9.166438861 7.6860113047 7.2573069045 10.7093690539 4.7656565997 5.3004168052

Adjusted savings: particulate emission damage (current US$) NY.ADJ.DPEM.CD 458549512.606183 505300425.65485 576509174.29182 769946571.837286 875008925.647036 1046781367.30957 1214645031.44229 1197395612.11151 532026983.005812 778212943.078216 943898107.412063 949170004.278075 1197189826.20041 1754382957.48565 1988918819.94012 2188135215.16231 2737485145.65398 3159916723.53364 3859309268.74468 4038435704.22337 5327731513.80416

Adjusted savings: particulate emission damage (% of GNI) NY.ADJ.DPEM.GN.ZS 0.4198834689 0.4550881732 0.4729544226 0.5065688916 0.5082853081 0.533560771 0.5489265066 0.5717130396 0.5907243332 0.6016904993 0.6279365322 0.6618483678 0.6945152549 0.7771461576 0.8116338872 0.8045862205 0.7842946916 0.7624520602 0.7842345443 0.7759210018 0.7759210018

Adjusted savings: natural resources depletion (% of GNI) NY.ADJ.DRES.GN.ZS 0.1619785869 3.1516770579 3.6407174368 5.370772487 13.2300261731 9.6281259759 10.113782488 10.5640239152 9.6490708836 22.9708537976 19.1848516358 15.4814514442 10.795856806 10.9476792267 12.3839445447 9.9568381728 5.6582648974 6.9170804396 4.7383736781 5.9234866051 7.7173013491 7.0136335909 5.8472638162 4.5017097947 4.0055831845 4.0919772986 4.7098091303 4.5527956028 6.2387651463 5.0504993046 9.3657348504 8.445679005 6.0736248804 6.266778186 8.1040905155 10.6047138944 9.4517809412 9.6630358489 11.8327856517 5.9739277867 6.5990043849

Adjusted savings: gross savings (% of GNI) NY.ADJ.ICTR.GN.ZS 29.6644519185 25.5349238941 26.9477013199 26.2286509346 25.9409644516 25.0740513185 28.2659640621 28.5104388815 32.754538378 29.4098333301 23.1841891481 24.4719673032 30.1455779724 30.6947064352 28.9910109782 28.5738289567 29.9054611853 23.7624230856 14.2902616295 27.3949472332 23.6516365907 18.9437887589 31.0838653231 25.7654120546 27.3703732798 29.1268556054 27.1472114459 27.3404442218 32.2834161445 32.884429333

Adjusted savings: net national savings (current US$) NY.ADJ.NNAT.CD 20968954501.4601 17153279484.2261 17795520615.5345 17258251528.8462 17105953103.1815 15054410943.2334 16527888716.079 19928269009.4712 26664435009.1218 26396959167.8466 19334042345.3594 22874236995.5256 37918572983.9796 43996067412.6002 46770106445.5072 51858838498.644 51846466419.1745 16628958991.6761 11482581580.0392 33669564868.1373 26767538933.1605 13711760897.6929 47022500680.4449 37605379857.1658 48462282072.6687 67383289713.3255 70926456373.2347 84371364820.5727 114656238874.006 153370167306.45

Adjusted savings: net national savings (% of GNI) NY.ADJ.NNAT.GN.ZS 23.4481264402 19.0327248261 21.7345967073 20.91910448 20.6652111667 19.8073301458 22.9859302119 23.5331363203 27.5192138652 24.1711014374 17.4127975467 18.7654802952 24.9476654508 25.5569446474 23.8394518969 23.4362223662 24.7548100305 18.4635949414 8.8779816703 22.3989746762 18.6647827808 7.9544838311 20.8297484689 15.3459258006 17.8197782739 19.3054404374 17.1137493525 17.1447619863 22.0293673696 22.3365485949

Adjusted net national income (current US$) NY.ADJ.NNTY.CD 9082154405.1845 8938203077.27952 10324097245.4572 14908742094.0058 21289125487.357 26339223331.6285 32494642403.0974 39582006419.5745 44759574329.4948 37272507475.9137 55730662661.4105 70023323921.5508 74535284592.3591 68644590910.3989 67902831890.2189 70167553745.6467 67700788274.0573 63134113372.4214 76454335144.8995 86081678011.7061 95059633185.3398 96837857992.8399 107811813670.11 137249774670.603 156408975119.524 178053148305.565 199486428969.685 189117072992.068 79672335650.0783 115805425122.342 128729287358.995 124148139061.552 142965062243.672 188451448448.173 199658976903.334 217143888246.545 281767081763.18 332810929854.494 383706964656.395 436008214360.793 568897027066.209

Adjusted net national income (constant 2000 US$) NY.ADJ.NNTY.KD 16745104375.8318 17188207470.7317 17030643762.0442 18241580150.9346 21132575352.5328 24210277998.7055 24773129212.4713 26688476619.5431 31155443281.05 30346948846.0626 38248301184.7184 50614391431.7691 53373500552.2939 56459307678.3455 58383254652.7425 64296647787.241 67490021521.6975 68722471510.3903 72063837967.6458 78759035077.5609 87560558053.6552 85709000637.5248 93669677190.9197 112109725841.697 123880776498.941 136057990839.991 146565745508.654 157482978474.235 134051035327.073 129350361548.49 128729287358.995 131036082735.401 126042600529.13 144677062961.738 147091741305.81 150261870163.527 162364016984.837 169551146566.492 169978859035.236 193006544240.542 201100384788.784

Adjusted net national income (annual % growth) NY.ADJ.NNTY.KD.ZG 2.6461650221 -0.9166965721 7.1103383161 15.8483814323 14.5637840861 2.3248440757 7.7315521614 16.7374358799 -2.5950342856 26.0367273782 32.3310836404 5.4512344068 5.7815340836 3.4076701495 10.1285773972 4.9666255464 1.8261217894 4.8621162537 9.2906474297 11.1752549627 -2.1146021191 9.2880286716 19.6862519481 10.4995802718 9.8297852865 7.7229970866 7.4486933681 -14.8790322447 -3.506629969 -0.4801487851 1.7919740129 -3.8107688371 14.7842573498 1.6690125543 2.1552052002 8.0540371341 4.4265531952 0.2522616198 13.5473819133 4.1935575709

Adjusted net savings, including particulate emission damage (current US$) NY.ADJ.SVNG.CD 17471963215.042 10837742105.0549 14896413439.4798 29899873582.2859 36047518083.2185 37665121167.5504 40090697845.9204 41656289774.7532 10307947955.0741 5674245231.01954 20465191227.7719 15148028367.6104 4014653033.27187 34186621547.4416 19055739125.9607 21242280504.8625 37095217890.2896 38112470582.3292 37943878843.1901 96372945480.1343 129207634875.869

Adjusted net savings, including particulate emission damage (% of GNI) NY.ADJ.SVNG.GN.ZS 15.9986835035 9.7607838944 12.220663488 19.6719439697 20.9396993528 19.1984990522 18.1179242871 19.8893697328 11.445200858 4.3871532549 13.6146487741 10.5625944822 2.3289855241 15.143786858 7.7762266945 7.8108729601 10.6278503549 9.3430798174 7.7551344348 18.5165241885 18.8175618891

Adjusted net savings, excluding particulate emission damage (current US$) NY.ADJ.SVNX.CD 15973270018.1584 20922678666.5593 17930512727.6481 11343042530.7098 15472922613.7717 30669820154.1231 36922527008.8655 38711902534.86 41305342877.3627 42853685386.8647 10839974938.0799 6452458174.09776 21409089335.184 16097198371.8884 5211842859.47228 35941004504.9273 21044657945.9008 23430415720.0248 39832703035.9436 41971779851.0739 41982314547.4134 100411381184.358 134535366389.673

Adjusted net savings, excluding particulate emission damage (% of GNI) NY.ADJ.SVNX.GN.ZS 18.8627090812 21.593394672 16.4185669724 10.2158720676 12.6936179106 20.1785128614 21.4479846609 19.7320598232 18.6668507936 20.4610827724 12.0359251912 4.9888437542 14.2425853063 11.22444285 3.023500779 15.9209330156 8.5878605818 8.6154591806 11.4121450466 10.1273143617 8.5310554366 19.2924451902 19.5934828909

Exports as a capacity to import (constant LCU) NY.EXP.CAPM.KN 24845279833712.7 21979566540635.3 29539716884035.4 21834218356344.7 23023905231652 19393934999574.8 11656530007081.1 13475695026306.8 19336206886640.3 20424419375883 30437897436401.1 41599869936344.4 55001348773389 76684361546606.7 130673971256522 114425838632439 133318707381632 158149813061715 160042190602086 207216294355618 283787079972126 271417976229546 239476915501942 209461850237111 237459598960157 234180415716592 213741407919900 244861661571924 210025430313914 235817222124710 273201036301519 317091289630669 359843333850443 377587964465537 421749341137761 464463599933572 509374061192263 592407941704227 694443893814987 435213637034034 569490300000000 559591651806393 523004318288474 564898386494253 635318240821072 728355874898727 841329110389648 878156882636817 863923846273033 801640529285624 892258352977092 995611441380290

Coal rents (% of GDP) NY.GDP.COAL.RT.ZS 0 0.0016530071 0.0008477605 0 0.004142363 0.0083826972 0.0067157255 0.0067886564 0.0071893106 0.0057626122 0.0068745196 0.0117533889 0.0152054137 0.0106287788 0.021138569 0.0398287573 0.0380665536 0.0164436644 0.0333639193 0.0858334618 0.0915946163 0.106142638 0.140441237 0.065557065 0.0581163623 0.1110894968 0.106030425 0.1257551957 0.161739574 0.0462519227 0.0745379639 0.69394096 0.3204795464 0.2528946639 1.664392782 1.4027705566 1.5553332805 2.2413330617 4.7599984778 2.4195273712 3.3665201969

Inflation, GDP deflator (annual %) NY.GDP.DEFL.KD.ZG 13.4616140026 178.7494266202 145.8513982752 114.9096870253 229.2410191955 1195.4094456348 165.3905375177 120.7456949328 20.6269971589 13.616039416 2.744197695 15.2101708039 34.7856975789 46.472290005 11.1950480317 15.4246828919 13.272847313 9.4341552967 33.6114534255 30.9904391736 10.4391901721 6.0613047865 14.2518651694 8.0479288077 4.2854263957 -0.0968958838 15.4378274403 12.7453472786 9.9931654086 7.7239105364 8.8277302356 5.3643161967 8.8801054815 7.7763777301 9.7032768606 8.8535912912 12.571308928 75.2712840493 14.1611925581 20.4474593035 14.2957154363 5.8960516932 5.4874270425 8.550732687 14.3317858598 14.0874219613 11.2585785122 18.1497524726 8.274750092 8.1085199788 8.3951915743

GDP deflator (base year varies by country) NY.GDP.DEFL.ZS 0.000265169 0.000300865 0.0008386594 0.0020618558 0.0044311279 0.0145890907 0.1889884585 0.501557486 1.1071665579 1.3355417723 1.5173896665 1.5590298387 1.7961609401 2.4209680527 3.5460473471 3.9430290508 4.5512287783 5.1553064249 5.641666039 7.5379119921 9.873944023 10.9047038171 11.5656711515 13.2139950099 14.277447921 14.8892974428 14.8748703265 17.1712271394 19.3597596703 21.2944124769 22.9391738459 24.9641822313 26.3033399021 28.6391042305 30.866189154 33.861220944 36.8591550526 41.4928333025 72.7250217177 83.023752081 100 114.2957154363 121.0346499015 127.676338011 138.5936003788 158.4565384005 180.7789795903 201.132122941 237.6371053976 257.3009819952 278.1642835259 301.5167080193

Discrepancy in expenditure estimate of GDP (current LCU) NY.GDP.DISC.CN -5981264 -5126800 -7903808 -33217136 -99758816 -46000128 -1481748480 -2735480832 -8379285504 -9015328768 -15765995520 -19376537600 -28012937216 -49855528960 -111957508096 -106515660800 -133135859712 -165932826624 -182882664448 274132172800 -434081366016 1149992304640 -674590359552 -101187584 -576998604800 85800779776 -1313998635008 1459595771904 -14680064 3601792499712 4382709514240 5266706792448 5828606164992 11534336 11534336 22020096 3670016 -35651584 -8388608 -25165826 -13144500000000 -13986300000000 -46995000000000 -185355200000000 -87673255000000 -47162978639999.5 -70415688129570 -33646994000000 103108548952660 -116790942440001 6296120430000 167536361110001

Discrepancy in expenditure estimate of GDP (constant LCU) NY.GDP.DISC.KN -129031159808 -128351379456 -140504055808 -156029485056 -163119235072 -163412000768 -169853124608 -167023427584 -176174219264 -209095294976 -230246531072 -235647631360 -241618075648 -277049081856 -293004640256 -302349549568 -422095028224 -433357914112 -472694620160 -501109030912 -534268084224 -543535169536 -551025246208 -6257031774208 -547845406720 -3490413805568 -3957952610304 -1357766459392 -798846681088 -861375889408 965208506368 -1064045576192 -1147259060224 -1077422522368 0 -13144499999999.8 -11767199999999.8 9546600000000.13 -26895750000000 8757217000000 -8535387620000.25 16237878890120.6 54186838950790 27039831135930 2205256500000 1628388700000 -11475918270000.3

Gross value added at factor cost (current US$) NY.GDP.FCST.CD

Gross value added at factor cost (current LCU) NY.GDP.FCST.CN

Gross value added at factor cost (constant 2000 US$) NY.GDP.FCST.KD

Gross value added at factor cost (constant LCU) NY.GDP.FCST.KN 724776268070912 783092461600768 858768912941056 938475318673408 1.00283298768486E+15 1.07524969306522E+15 1.15822866255053E+15 1.25798169391923E+15 1.36328905752576E+15 1.41839321949798E+15 1.30471925959885E+15 1.30003237653709E+15

Forest rents (% of GDP) NY.GDP.FRST.RT.ZS 11.7674050334 12.24720849 11.3593304034 9.7453947343 7.3756274895 5.9959108768 5.2749637799 4.5878929375 4.652705271 5.5769302042 4.6753110296 3.3933271406 3.0932119053 3.3204345084 2.9848874494 2.7043909426 3.0976018246 4.0927777321 3.7359043993 3.3123003311 3.0578826029 2.7638484845 2.6632304319 2.9458383914 2.5043118196 2.1840330195 1.9516806528 1.8836225405 3.6414585332 2.5536196705 2.156036673 1.8425759063 1.6899107165 1.3940010188 1.438941911 1.3438330889 1.0346239576 0.9043080159 0.9706427986 0.7179338358 0.6531600752

Mineral rents (% of GDP) NY.GDP.MINR.RT.ZS 0.2603180354 0.3108036683 0.2989249048 0.5648047674 0.7522982784 0.361948676 0.3543466383 0.4047680878 0.4018819626 0.622148751 0.511160513 0.314850045 0.2156438293 0.2507882581 0.2536809313 0.2485070843 0.1874912527 0.2914151532 0.9733307928 0.9663016821 0.6611390958 0.6132278741 0.6641199901 0.4737854244 0.575568906 0.8589778042 0.7316714691 0.720955194 1.5864340251 1.0721263136 1.4400837307 1.328741039 1.2629807955 1.2790426095 1.5600127614 2.0736626444 2.5900400922 3.344748746 1.6474061896 1.8134603855 1.9448874367

GDP (current US$) NY.GDP.MKTP.CD 5980840376.72106 7467363478.84782 8798957442.35583 9656740013.93973 9849117952.81548 11605084559.7301 17171181163.3349 27227710999.441 32147953007.653 39328674729.6386 48396143465.4843 54298158339.5256 55122620334.4537 78013206037.5695 92473878831.719 94715163814.2593 85369201879.0977 87612439197.276 87338874330.0743 80060657611.8902 75929617715.0119 88787623309.6593 101455197785.783 114426498044.996 128167999846.519 139116270052.446 158006849878.9 176892148243.49 202132032844.159 227369671349.349 215748854646.704 95445548017.3549 140001352527.221 165021012261.509 160446947638.313 195660611033.849 234772458818.096 256836883304.553 285868610016.591 364570525997.054 432216737774.861 510244548959.967 539579959052.699 708026840494.953 846832282925.207

GDP (current LCU) NY.GDP.MKTP.CN 412000000 496000000 1409000064 3386000128 7528000000 25020000256 333350010880 894632001536 2212520001536 2868460126208 3524710105088 3874840117248 4816110092288 7126040182784 11299500064768 13341400498176 16321400012800 20084399538176 24002500231168 34344699691008 48913499291648 58421298593792 62646502031360 77622801334272 89885100736512 96996803215360 102682601717760 124816900227072 149669292277760 179581793337344 210866301566976 249968606576640 282394905018368 329776111812608 382219709317120 454514108792832 532567992303616 627695377448960 955753502343168 1.09973161063219E+15 1.3897699E+15 1.646322E+15 1.8218334E+15 2.01367456E+15 2.295826274E+15 2.77428115971E+15 3.33921680000001E+15 3.9508932E+15 4.94868839721607E+15 5.60620339976E+15 6.43627079173E+15 7.42708608191E+15

GDP (constant 2000 US$) NY.GDP.MKTP.KD 18448917543.0937 19575208345.7326 19949028313.5138 19499569411.57 20172590380.1612 20363640992.5818 20944091970.0574 21179712359.7706 23728516741.3444 25502789513.2991 27581801389.1735 29511800441.052 31838126471.1194 34950673891.039 37836507705.0596 40176101277.1092 42581905063.171 46259476456.7959 50517919165.938 54100964303.248 58821272858.9985 63614142518.2266 64316489535.6947 69751173550.1278 74753833726.7956 77353427294.9816 81967185137.4495 86311448523.5578 91797126913.3154 100136633662.216 109150506063.016 118895240735.93 127480073499.85 136727574166.942 147036924428.259 159382671061.234 171563947984.591 179627234868.464 156048063635.727 157282606425.05 165021012261.509 171033497474.112 178729107603.082 187273018674.386 196694488176.924 207891462167.108 219327471266.474 233243848106.738 247270439237.57 258716276502.157 274744677419.886 292484879998.349

GDP growth (annual %) NY.GDP.MKTP.KD.ZG 6.1049153697 1.9096602252 -2.2530365634 3.4514657959 0.9470802154 2.8504282593 1.1249969206 12.0341784547 7.4773859289 8.1520959689 6.9973640396 7.8826977524 9.7761638793 8.2568760277 6.1834289525 5.9881464592 8.6364651562 9.2055575102 7.0926221754 8.7249989285 8.1481909967 1.1040737007 8.4499077199 7.1721519826 3.4775387944 5.9645163813 5.3000031401 6.3556787467 9.0847143362 9.0015732217 8.9277961453 7.2205016036 7.2540754121 7.5400666794 8.3963580447 7.6427862843 4.6998725423 -13.1267239347 0.7911298356 4.9200645973 3.6434664472 4.4994753909 4.7803691217 5.030873945 5.6925713038 5.5009517852 6.3450222445 6.0137025026 4.6288740781 6.195358535 6.4569777093

GDP (constant LCU) NY.GDP.MKTP.KN 155372639748096 164858007912448 168006235717632 164220993798144 169889025228800 171498010574848 176386438332416 178370780332032 199836238348288 214778765115392 232287736168448 248541754687488 268133549998080 294346725261312 318650569457664 338354101026816 358615240146944 389586920407040 425450568417280 455626169778176 495379548209152 535744019955712 541659028783104 587428716871680 629559997235200 651453190373376 690309222629376 726895633104896 773094784368640 843328237076480 919241045835776 1.00130901249229E+15 1.0736085457961E+15 1.15148891933901E+15 1.2383119516631E+15 1.34228505683558E+15 1.4448730350551E+15 1.51278022610125E+15 1.31420174208205E+15 1.32459878416384E+15 1.3897699E+15 1.4404057E+15 1.5052164E+15 1.5771713E+15 1.6565168E+15 1.7508152E+15 1.8471267E+15 1.9643273E+15 2.0824561E+15 2.1788503706E+15 2.313837963E+15 2.4632419645E+15

GDP, PPP (current international $) NY.GDP.MKTP.PP.CD 95260765910.6902 112678457848.201 120863560278.619 136261185665.017 151518641179.849 161575991315.664 175041495845.763 189719111640.278 208803662981.149 236347174940.803 267392663431.6 301163163062.605 329710174248.861 361380479249.934 396541394876.247 439836359249.31 481835659669.509 514206552882.774 452983646733.031 463261956465.078 496571644068.446 526331987733.815 558945755989.399 598002302512.926 645745309096.58 705158950677.644 767949074854.384 840351951108.31 910588847615.036 965280832187.438 1032323803217.66 1123469344628.88

GDP, PPP (constant 2005 international $) NY.GDP.MKTP.PP.KD 199519242466.213 215776451417.484 218158782469.883 236592998271.404 253561807687.638 262379517917.878 278029187245.136 292764742899.428 311371929441.639 339659179754.481 370233849524.139 403287572870.701 432406958536.874 463774085396.352 498742960677.024 540619205378.42 581937575857.165 609287900198.403 529308359571.764 533495875926.743 559744217646.371 580138310406.545 606241490916.22 635222071950.766 667179293661.54 705158950677.644 743949404563.462 791153159771.202 838730757140.021 877554547742.041 931922198314.92 992096206928.04

Natural gas rents (% of GDP) NY.GDP.NGAS.RT.ZS 0 0.0313760199 0.0327602548 0.0338235654 0.0800022828 0.0790562808 0.1564250715 0.4434672848 1.0581402894 1.9888083231 1.9445990373 1.8135667442 1.7566834989 1.9526616496 2.6110203496 2.349294794 2.3863194887 1.6798910142 1.365947041 1.0618891709 1.8418623051 1.8688231343 1.4845999622 1.7894920143 1.5237553753 1.3858700903 1.9547654014 1.9037652161 2.8297116481 1.5160336257 4.2609979682 3.9415416087 2.2997207899 3.851684119 3.676242037 5.5981976514 4.0670950924 3.1883806866 4.2286973444 1.3359361568 0.9308559871

GDP per capita (current US$) NY.GDP.PCAP.CD 54.5633625015 66.3995774646 76.2613015727 81.5866682421 81.1256279825 93.2077330044 134.504721479 208.0620132818 239.7205997269 286.2722427918 343.9961160702 377.0005894707 373.9568778778 517.2601994306 599.4076920163 600.3809610076 529.4355778174 531.9293186298 519.5056225257 466.9012814392 434.461042727 498.7878177107 559.9138265067 620.7161311267 683.7384322077 730.2214454984 816.4646469955 900.2674296864 1013.699544634 1124.161969707 1052.1077047556 459.2276532269 664.7397402269 773.3109699417 742.1107816498 893.3199025325 1058.2999838513 1143.4969506944 1257.6533962475 1585.650791352 1859.3026388732 2171.704800224 2272.7338490967 2951.699148509 3494.6045738883

GDP per capita (constant 2000 US$) NY.GDP.PCAP.KD 200.6481494184 207.7479243522 206.549652472 196.9290847915 198.6687943542 195.5284399284 196.0326509934 193.2230673904 210.9932762683 221.0348140402 233.0297052846 243.0840360675 255.7120179699 273.7744487406 289.1297020461 299.5848317479 309.9524087343 328.8088490755 350.7537987808 367.0258702919 390.0096518935 412.3413749718 407.6896902359 432.5769956741 453.8597053521 460.1105831695 478.0198529241 493.8647533506 515.6944954536 552.636897379 592.096070329 634.2710005235 669.1430377497 706.5088042849 748.3235142908 799.3099302666 848.2471059244 875.9592170189 750.8111959397 746.7927777117 773.3109699417 791.0764546605 816.0164079018 844.1834857318 875.7291575681 914.5999045861 953.9355312056 1003.3644335904 1052.4333889314 1089.724014122 1145.3854345843 1206.9910654619

GDP per capita growth (annual %) NY.GDP.PCAP.KD.ZG 3.5384203414 -0.5767912647 -4.6577506015 0.8834193103 -1.5806983859 0.2578709599 -1.4332222661 9.1967326251 4.7591742967 5.4266977338 4.3146133539 5.1949038311 7.0635830549 5.608724034 3.616069061 3.4606481663 6.083656655 6.6740751555 4.6391718543 6.2621693624 5.7259411325 -1.1281149597 6.1044726012 4.9199818508 1.3772709372 3.8923837898 3.3146950549 4.4201862868 7.1636215339 7.14016258 7.1229876886 5.4979712453 5.5841224413 5.9184980785 6.8134189294 6.1224280851 3.2669856344 -14.2869689191 -0.5352102166 3.5509438524 2.2973273895 3.1526602889 3.4517783659 3.7368264565 4.4386722404 4.300856191 5.1815768223 4.8904419669 3.543276523 5.1078456326 5.3785938792

GDP per capita (constant LCU) NY.GDP.PCAP.KN 1689813.64694651 1749606.3567625 1739514.78013056 1658492.51999499 1673143.96317695 1646696.60355666 1650942.95589485 1627281.27384988 1776937.98166339 1861505.55735487 1962523.83725052 2047199.15280693 2153549.18002594 2305666.91498571 2434985.40939073 2523036.16341918 2610349.56814376 2769154.27336388 2953969.71074034 3091009.44214667 3284573.68842269 3472646.4442741 3433471.00024001 3643066.29671824 3822304.4973308 3874947.98630284 4025775.83358632 4159218.02606478 4343063.21089217 4654183.82229783 4986500.11398285 5341687.90319586 5635372.36812844 5950058.46118655 6302212.55688032 6731608.70020176 7143746.60184311 7377131.77708108 6323163.25297079 6289321.0372286 6512651.295955 6662268.21796256 6872306.90241332 7109523.70530849 7375194.26805982 7702554.96871084 8033830.78095044 8450109.89464047 8863357.61517477 9177410.88470609 9646178.8657623 10165007.6518111

1 1.0353842034 1.0294121978 0.9814647449 0.990135194 0.974484143 0.9769970546 0.9629945153 1.051558546 1.1016040501 1.1613847721 1.2114940346 1.2744299846 1.364450405 1.4409786628 1.4930854464 1.5447558805 1.6387335245 1.7481038315 1.8292013724 1.9437490604 2.0550469873 2.0318636948 2.1558982574 2.2619680603 2.293121489 2.3823785782 2.4613471631 2.5701432929 2.7542586312 2.9509171754 3.1611106425 3.3349075967 3.5211329202 3.7295311044 3.9836396826 4.2275351574 4.3656481236 3.7419293331 3.721902145 3.8540648004 3.9426052867 4.0669022379 4.2072826895 4.3645015422 4.5582274605 4.7542702685 5.0006164348 5.2451686795 5.4310195099 5.7084276028 6.0154607404 0

GDP per capita, PPP (current international $) NY.GDP.PCAP.PP.CD 631.6187383601 730.3720273447 766.1305492031 845.0532273783 919.9288171971 961.0798925164 1020.8147316453 1085.5521935834 1173.009474813 1304.3595004818 1450.4939185647 1606.6165438934 1730.6490459007 1867.3518625807 2018.1410304209 2205.7954437545 2382.2936499605 2507.5483112515 2179.489995715 2199.6118397336 2327.0024493097 2434.4286293619 2551.9565007135 2695.6561697164 2875.0068229164 3102.283770025 3340.0918928667 3615.0117839531 3875.6517348922 4065.8041211319 4303.6635289321 4636.1967883435

GDP per capita, PPP (constant 2005 international $) NY.GDP.PCAP.PP.KD 1322.8960632462 1398.6443130713 1382.865997343 1467.2826732615 1539.4727144865 1560.6754247689 1621.4229020145 1675.1681267671 1749.2136785878 1874.5207263407 2008.3645537976 2151.4201137076 2269.7045729254 2396.4476553327 2538.2813637654 2711.2251066856 2877.2179140681 2971.2162099902 2546.7194735506 2533.08917074 2623.0377449231 2683.2975094753 2767.8927644908 2863.4342881266 2970.4358581699 3102.283770025 3235.7085336115 3403.3692570269 3569.8090554602 3696.2972616396 3885.0984198845 4094.0620856966

Oil rents (% of GDP) NY.GDP.PETR.RT.ZS 0 4.7030475612 5.2665868076 7.1487145846 19.4081333675 14.5661100803 15.2455436161 14.8513305662 12.7038650836 30.3481160526 24.7761397738 19.6573118061 13.6434001506 13.2840356072 13.8842724999 11.2040492354 5.2367468706 7.456062479 4.3029332704 5.2725062566 7.0103528151 5.4377134079 4.4866749985 3.4462095106 3.0409614346 2.9706121304 3.3311964292 3.2070279514 3.6052086141 3.6838129424 5.8980072569 4.5294276031 3.4912526888 3.222213751 3.8813120103 5.1179754034 4.5854834627 4.0252828022 4.8499713061 2.3585656976 2.4224112784

Total natural resources rents (% of GDP) NY.GDP.TOTL.RT.ZS 12.0277230688 17.2924357394 16.9576023707 17.4927376517 27.6160614181 21.0030259138 21.0312791059 20.2874588763 18.8165926066 38.536003331 31.9072103537 25.1790557359 18.7089393841 18.8079200233 19.7338612302 16.5062420562 10.9081594367 13.5201463784 10.3781155035 10.6129974407 12.5712368189 10.6836129009 9.2986253827 8.6553253406 7.6445975355 7.3994930444 7.9693139525 7.7153709019 11.6628128205 8.8255925522 13.7551256288 11.6422861571 8.7438649907 9.7469414983 10.5565087197 14.1336687881 12.2772426049 11.4627202506 11.6967176387 6.2258960757 5.9513147772

Gross domestic savings (current US$) NY.GDS.TOTL.CD 153590409.977595 515735699.638145 794562786.159509 1382139696.39452 1708686810.26945 2695113202.42892 3986787019.56627 7856621178.13976 8567340305.88916 10662085634.4675 14051090214.8626 14711871567.407 18099329506.5191 29673807784.2506 29324912838.9387 27469372206.4759 25442558254.8111 26584110309.4203 25947344511.7111 22854758991.0101 24092709823.1936 27995019956.9367 35959458575.8271 36917855234.8969 42614699822.755 46480154076.8539 51296388272.6746 56964662436.5651 61840028988.3513 68383382908.8363 67908874381.0514 25316970051.2936 27232706910.293 54066557095.179 49434230040.4202 54197693719.5453 77327747453.4851 73785280860.7791 83553702167.8351 112333377568.166 125180646646.975 147314812485.788 182331137619.659 242521809374.691 289466428112.636

Gross domestic savings (current LCU) NY.GDS.TOTL.CN 50981260 48126796 101903800 367217312 1161758848 1974000128 -7510243328 22974513152 152808357888 259027468288 504480989184 672231587840 1118471979008 1654516613120 3260497788928 3555446226944 4424765538304 5831202439168 6503382646784 11276968198144 18605180452864 18526307221504 18168791695360 23133900767232 27273700573184 28816600727552 29312601030656 39604800454656 47191203774464 63650401353728 68032594968576 83112299069440 94350996406272 107060696973312 123086394359808 139053495222272 160174401126400 197572712988672 253514001416192 213916995026944 455336400000000 507237200000000 504645100000000 663250360000000 659555529000000 810867138350000 1.02889694812958E+15 1.144276291E+15 1.42875627926341E+15 1.89440958E+15 2.20462834E+15 2.53874601E+15

Gross domestic savings (constant LCU) NY.GDS.TOTL.KN 20951460741120 16708928536576 23770370670592 18228394852352 19760322445312 18299263909888 12803873177600 5393260478464 13706940383232 14455408689152 29868253249536 37876041515008 53692136947712 66975074091008 113823193235456 93973968322560 101011716833280 136111624028160 135416535580672 198374221414400 300759547641856 244945843650560 216664893292544 198802359189504 247485259841536 248520900608000 234846966251520 272821154480128 301670818906112 345907639877632 382201287933952 432011063853056 511068191326208 511068191326208 561778803081216 566612218347520 597182587600896 593978005127168 427355889729536 383169735950336 455336400000000 467790900000000 464586600000000 526069550000000 517401983000000 580919931620000 606397049109880 625983736049210 694928291864070 731740560000000 807539240000000 902225380000000

Gross domestic savings (% of GDP) NY.GDS.TOTL.ZS 12.374092233 9.7029830645 7.2323488553 10.8451653313 15.4325032944 7.8896886803 -2.2529602768 2.5680406148 6.9065300102 9.0301923991 14.3126944952 17.3486277498 23.2235550595 23.2178962044 28.855239349 26.6497226242 27.1102082838 29.033491532 27.0946050793 32.83466823 38.0369033545 31.7115635349 29.002084883 29.8029707374 30.3428492038 29.7088149014 28.5468039768 31.7303188772 31.5303179806 35.4436828873 32.2633794319 33.2490948394 33.4110122844 32.464661065 32.2030474514 30.5938787228 30.0758595036 31.4758910272 26.5250402739 19.4517455858 32.7634380339 30.8103275058 27.6998489544 32.9373163457 28.7284598347 29.2280086866 30.8125231081 28.9624708408 28.8714132833 33.7913101776 34.2531943005 34.1822618184

Gross domestic income (constant 2000 US$) NY.GDY.TOTL.KD 12234000000 12220000000 14327000000 13531000000 13333000000 13437000000 13215000000 13633000000 15965000000 16374000000 17667000000 18797000000 19395000000 21546000000 29365000000 30357000000 31022000000 35058000000 39243000000 47734000000 59834000000 69057000000 68379000000 69848000000 76553000000 80823000000 79308000000 83247000000 84258000000 93472000000 105760000000 113990000000 121820000000 130210000000 140660000000 153720000000 166640000000 179460000000 160110000000 155500000000 165020000000 169420000000 173600000000 183160000000 191320000000 200140000000 216150000000 225930000000 254720000000 326660000000

Gross domestic income (constant LCU) NY.GDY.TOTL.KN 103029421649521 102917453481819 120656584042051 113952785972857 112283811402532 113161149300759 111291156173865 114814810841219 134451900065520 137899886705419 148785763220721 158306848498392 163339633890829 181457807031151 247308958784714 255658221305335 261258719921536 295252702120019 330491591622502 402001382728354 503904975975710 581579391831722 575871605472118 588242146388151 644714118997533 680674981706992 667909637627676 701089898523476 709604097584058 787198614025382 890698181678287 959995918026703 1.02590642590651E+15 1.09663961155623E+15 1.18463300853232E+15 1.29461172322931E+15 1.40339250892909E+15 1.51136706320234E+15 1.34841648516065E+15 1.30956901984671E+15 1.3897699E+15 1.42683395180639E+15 1.46203231828847E+15 1.54255328649425E+15 1.61121408082107E+15 1.68555809089873E+15 1.82019935338965E+15 1.90005275263682E+15 1.91410218627303E+15 2.04824227988562E+15 2.13152761597709E+15 2.23842510588029E+15

GNI, Atlas method (current US$) NY.GNP.ATLS.CD 8425358929.36955 9796107792.47064 10680285378.0051 11802079377.1728 15209706231.9474 21869855930.4256 30598315922.6487 38041080896.3058 44835448129.3311 54591679573.6723 61024935183.4625 74102765957.1954 86645076759.5626 90819836744.6753 90787472747.5009 88577760121.9473 85747246219.281 87675868080.3365 87687513795.4481 92511339762.3061 99094091478.5188 111035558985.195 112328990877.248 125833407541.248 151872354647.193 170560814172.852 194813951294.246 218091673282.729 222423770191.862 135080246894.207 119650728524.11 119461981087.737 143150068614.696 156660007999.405 198234188577.126 241393114380.276 276758976902.114 315565148800.701 371908891938.149 457094695997.876 512970954634.876 600129325480.892 712737211853.421

GNI (current US$) NY.GNP.MKTP.CD 6029094552.17759 7509247489.51033 8856350091.77914 9697862866.41096 9856336207.74678 11459372922.7566 16872771593.8699 26467950730.1783 31334457640.0964 38847711868.6072 47587471547.5277 53252798845.1138 52740185507.9514 74806298371.9457 89426993474.0305 90125190381.0369 81876470289.045 82499953788.1101 82776570562.1586 76004241017.966 71904371777.5841 84681738711.9619 96893883450.839 109208755903.079 111033521716.2 121895291970.841 151992470232.231 172149167358.134 196187842940.741 221276439898.601 209439968859.367 90063495459.3717 129337748223.759 150317437984.54 143412003490.969 172377758116.178 225746848314.878 245051229529.877 271957828699.404 349037826573.882 414441364730.336 492111613379.175 520694426985.141 688119221076.37 822695588767.184

GNI (current LCU) NY.GNP.MKTP.CN 416000000 500000000 1426999936 3408999936 7545999872 25323999232 334616002560 901850005504 2224929898496 2887170129920 3539719946240 3877679923200 4755639762944 7002200211456 10984199553024 13003799920640 16121800425472 19748800692224 23540399079424 32860299853824 46902800285696 56496398270464 59610601881600 74447000174592 84639997755392 91930000097280 97480003813376 118199999791104 142748002811904 171507993018368 201250993864704 216550892109824 247437696434176 317223499464704 371971313369088 441148002795520 518295815979008 609340432056320 901859782950912 1.01596740032922E+15 1.2659397E+15 1.471529E+15 1.6050423E+15 1.9362607E+15 2.19047608736E+15 2.6392806134E+15 3.19694789134E+15 3.788408515E+15 4.77282322021607E+15 5.40998385471E+15 6.25530190458E+15 7.21539681491E+15

GNI (constant 2000 US$) NY.GNP.MKTP.KD 18112269870.6157 19195667535.2328 19636664904.5883 19112294578.9221 19711160555.1733 20025589135.4204 20481167691.9447 20772001409.656 23237518331.6338 24987155951.3498 26982631024.752 28805100688.9294 30826610350.2805 33741487303.8325 36177332143.3575 38466101631.1528 41184958986.4412 44598557828.3159 48575141633.6163 50888201474.6918 55238520473.957 59913019435.0043 59540242136.8914 65246263386.9287 68640984643.0652 71387051732.4985 76021660041.5425 79930388600.1297 85781150765.6782 93621327663.4186 101797835059.832 101198351026.24 109772018062.02 128597879522.806 139783549053.829 151061548274.185 163009359789.639 170118026624.773 143405217224.309 141823927773.084 150317437984.54 160732626365.026 169331570762.783 175942584302.69 183423359245.625 193426607772.57 205242693401.323 218716792055.71 233399059177.488 244246272811.254 261179810202.044 278028956213.335

GNI growth (annual %) NY.GNP.MKTP.KD.ZG 5.9815675912 2.2973797006 -2.6703634666 3.1334070003 1.5951804531 2.2749820414 1.4200055489 11.8694240066 7.5293652048 7.9860031982 6.7542326117 7.0178878497 9.4557167344 7.2191389123 6.3265292165 7.0681905366 8.2884599764 8.9163955046 4.7618180067 8.548777267 8.4623898702 -0.6221974817 9.5834700116 5.2029358923 4.0006231025 6.4922254058 5.1415985345 7.3198219951 9.1397432044 8.7335947914 -0.5888966433 8.4721410466 17.1499638917 8.6981757184 8.068187778 7.9092341181 4.3608948862 -15.702515442 -1.1026721913 5.9887709675 6.9287958338 5.3498437699 3.9041824924 4.2518273632 5.4536393664 6.1088212035 6.5649589913 6.7129126135 4.647496726 6.9329767844 6.4511671091

GNI (constant LCU) NY.GNP.MKTP.KN 156353304105104 165705682671274 169512571387759 164985969610166 170155651531420 172869941224425 176802701342336 179313309512055 200596766518384 215700429658529 232926272869489 248658655152934 266109240700216 291271776704997 312299090877528 332056784104720 355527190294917 384994919167616 419322588833043 439289967374134 476843888241325 517196277136620 513978294925022 563235250685417 592540019701358 616245312621255 656253347369435 689995259860291 740501684656928 808181637058639 878764946417509 873589929145800 947601700111955 1.11011504951794E+15 1.20667480720135E+15 1.30403159651566E+15 1.40717050845827E+15 1.46853573520209E+15 1.23793868460998E+15 1.22428827898927E+15 1.2976081E+15 1.38751671597132E+15 1.46174669255678E+15 1.51881595101152E+15 1.58339338321354E+15 1.66974594808503E+15 1.77174774260564E+15 1.88806225533657E+15 2.01480622462602E+15 2.10844427795057E+15 2.25462223025309E+15 2.40007167800501E+15

GNI, PPP (current international $) NY.GNP.MKTP.PP.CD 91344858643.8479 108965859786.111 115006414406.904 130686297564.923 142677010364.11 153135777726.486 166172704987.01 179661559576.093 199147770506.282 225721265370.775 255199806075.451 260901368875.808 288895885008.062 347624876877.189 385908993863.392 426901888601.497 468923048334.116 499170225489.287 427440477404.895 427976281695.396 452326502481.105 470450363645.723 492433381542.167 575012655900.708 616113542265.764 670844893054.58 735230241867.56 805791583324.901 878228582428.38 931495585340.095 1003297912932.44 1091447849329.3

GNI per capita, Atlas method (current US$) NY.GNP.PCAP.CD 70 80 90 90 120 170 230 280 320 380 410 490 560 580 560 540 510 510 500 520 550 600 600 660 780 870 980 1080 1080 650 570 560 660 720 890 1070 1220 1370 1600 1950 2160 2500 2940

GNI per capita (constant 2000 US$) NY.GNP.PCAP.KD 196.9868108965 203.7199306677 203.3154822385 193.0179379991 194.1244247278 192.2825197971 191.6997692634 189.5035097755 206.6273327819 216.5657747447 227.9675089666 237.263061899 247.5878958202 264.3026888435 276.4510230428 286.8337200189 299.7840801752 317.0031654736 337.2647911 345.2301945885 366.2545044342 388.3510149565 377.4139889878 404.6388205152 416.746212362 424.6216250785 443.3464769001 457.3530200972 481.8981677423 516.6800416213 552.2108900909 539.8633196707 576.1934364277 664.500446591 711.4084919468 757.5791948588 805.9514793433 829.5871921213 689.981279739 673.3935008771 704.4080155245 743.4321234784 773.1104461455 793.1085062689 816.6430353961 850.9630706767 892.6756717949 940.8721900235 993.3939680819 1028.7757401302 1088.834743669 1147.3361156005

GNI per capita growth (annual %) NY.GNP.PCAP.KD.ZG 3.4180561331 -0.1985315958 -5.0648106706 0.5732559057 -0.9488269873 -0.3030699485 -1.1456766465 9.0361508484 4.8098389642 5.2647904478 4.0775779735 4.3516398375 6.7510541935 4.5963717783 3.75570937 4.5149364432 5.7438291214 6.3916161834 2.3617655026 6.0899394593 6.0331027345 -2.8162733062 7.2135194566 2.9921478694 1.8897382827 4.409773482 3.1592769824 5.366783768 7.2176812877 6.8767603947 -2.2360244323 6.7295027155 15.3259312898 7.0591442935 6.4900410151 6.3851125813 2.9326471114 -16.8283591777 -2.404091147 4.6057044814 5.5399863565 3.9920689098 2.5867015797 2.9673782265 4.2025749064 4.9018109664 5.3991073972 5.5822436475 3.561705948 5.837910168 5.372842139

GNI per capita (constant LCU) NY.GNP.PCAP.KN 1700479.23141642 1758602.56607796 1755111.18434039 1666218.12579528 1675769.81960324 1659869.66331054 1654839.09717716 1635879.99210325 1783700.57588923 1869493.70119276 1967918.62699458 2048162.04346539 2137290.67888513 2281580.33088907 2386450.24531739 2476078.38079221 2587871.74596771 2736514.67693657 2911422.19188941 2980183.15685165 3161674.50688004 3352421.57801175 3258008.22399753 3493025.28113197 3597541.76265879 3665525.88658239 3827167.27510454 3948078.08990653 4159962.90398416 4460215.76808103 4766934.11953875 4660344.30795437 4973962.30470825 5736268.34990852 6141199.80979109 6539766.19626339 6957337.63045087 7161371.79149868 5956230.42437581 5813037.21605048 6080768.53161571 6417642.27863544 6673838.98078562 6846471.2791293 7049631.97714647 7345898.04161352 7705980.07739516 8122034.21777864 8575425.95694603 8880857.41332081 9399313.89125766 9904324.18878026

1 1.0341805613 1.0321273862 0.9798520882 0.9854691481 0.9761187509 0.9731604283 0.9620111565 1.0489399358 1.0993922576 1.1572729561 1.2044616633 1.2568754969 1.3417278428 1.4033986427 1.456106217 1.5218484873 1.6092608639 1.7121186417 1.7525548691 1.8592843996 1.9714569376 1.9159353221 2.0541416894 2.1156046461 2.1555840371 2.2506404103 2.3217443747 2.446347375 2.6229169317 2.8032886444 2.7406064254 2.9250356093 3.3733245569 3.6114524049 3.8458371472 4.0913981788 4.2113844493 3.5026775478 3.418469987 3.5759146123 3.774019794 3.9246812648 4.0262010571 4.1456736706 4.319898712 4.5316519808 4.7763207381 5.0429465991 5.2225615281 5.5274499786 5.8244311402

GNI per capita, PPP (current international $) NY.GNP.PCAP.PP.CD 610 710 730 810 870 910 970 1030 1120 1250 1380 1390 1520 1800 1960 2140 2320 2430 2060 2030 2120 2180 2250 2590 2740 2950 3200 3470 3740 3920 4180 4500

Gross savings (current US$) NY.GNS.ICTR.CD 26528027481.2502 23013398773.2535 22063826664.7584 21638624900.2544 21473040743.7954 19057342397.086 20324463885.7659 24143135359.2392 31737144240.8828 32118113092.9806 25742221692.4354 29830175995.2493 45819008626.0059 52840681551.2095 56876839084.9337 63227151458.0884 62633988593.7144 21401268836.7052 18482702606.8312 41179382818.2105 33919285893.0762 32654878364.9382 70170846301.3691 63138459033.2531 74435872878.5721 101663743754.455 112509273602.451 134545501164.988 168023157759.252 227244485568.731 269541924601.902

Gross savings (current LCU) NY.GNS.ICTR.CN 16759346900617.4 15221521823310 20061755248665.3 22199929562278.8 23847528645604.8 24442186181447.8 33410369462413.6 40698082096205.7 56176651394615.3 59187581870796.2 50205568428551.7 60552872167172.8 95628857377849.4 114175502661776 127893265920761 148096959947544 182226066394860 214303737263361 145184399577099 346803512819531 348040691406250 304055822803752 601864668292368 564385189865934 722380955788066 931170396090979 1.02844727E+15 1.30491107032882E+15 1.74575052772917E+15 2.06575084643018E+15 2.36399948025934E+15

Gross savings (% of GNI) NY.GNS.ICTR.GN.ZS 29.6644519185 25.5349238941 26.9477013199 26.2286509346 25.9409644516 25.0740513185 28.2659640621 28.5104388815 32.754538378 29.4098333301 23.1841891481 24.4719673032 30.1455779724 30.6947064352 28.9910109782 28.5738289567 29.9054611853 23.7624230856 14.2902616295 27.3949472332 23.6516365907 18.9437887589 31.0838653231 25.7654120546 27.3703732798 29.1268556054 27.1472114459 27.3404442218 32.2690524521 33.0239991281 32.7632636278

Gross savings (% of GDP) NY.GNS.ICTR.ZS 28.6870495932 24.2974808325 25.8451832501 24.6981194663 24.5858913439 23.8036296048 26.767504562 27.1920054387 31.281930284 28.0687722177 20.0847494876 21.4426220485 28.9981153736 29.8716941797 28.1384589491 27.8080849934 29.0309715416 22.4224903951 13.201802892 24.9540238869 21.1404993316 16.6895514597 29.8888748087 24.5830965634 26.0384912055 27.8858921676 26.0307535015 26.3688267595 31.139621652 32.0954620039 31.8294342382

Gross national income (constant LCU) NY.GNY.TOTL.KN 104277746265713 103991948445531 122512514672195 114896382934649 112618921186084 114845165240343 111796977833001 115945833881731 135361580771056 139014581189387 149573524159729 158452353868504 160716908598797 177430465166191 239313057701066 248013928201719 257423329068416 289497801410643 323067552431974 382650258678434 482209800123678 561466269699754 549869326105462 561187583256759 605246242645533 643801525648624 632284431605532 662180795738964 675390329383866 750582814061734 849343459923151 914609853564879 977461484897616 1.0236035333042E+15 1.14932781951676E+15 1.23381079884403E+15 1.35808337219693E+15 1.45525896101328E+15 1.24694227920251E+15 1.22921413277291E+15 1.2976367E+15 1.36062335180639E+15 1.40567531828847E+15 1.46132248649425E+15 1.53074594596731E+15 1.57817641300018E+15 1.70634188052035E+15 1.77948909761136E+15 1.81750667494991E+15 1.93842301118562E+15 2.03853561207709E+15 2.14197213598029E+15

Net income from abroad (current US$) NY.GSR.NFCY.CD 48254175.4565327 41884010.6625182 57392649.4233129 41122852.4712329 7218254.931308 -145711636.973494 -298409569.46506 -759760269.262651 -813495367.556627 -480962861.031325 -808671917.956627 -1045359494.4118 -2382434826.50225 -3206907665.62379 -3046885357.68846 -4589973433.22235 -3492731590.05267 -5112485409.16593 -4562303767.91573 -4056416593.92414 -4025245937.42774 -4105884597.69747 -4561314334.94429 -5217742141.91638 -17134478130.3196 -17220978081.6046 -6014379646.6687 -4742980885.35555 -5944189903.41755 -6093231450.74794 -6308885787.33701 -5382052557.98317 -10663604303.4625 -10943274514.6104 -5949916656.4355 -5854578390.83932 -9025615166.78159 -11785645496.2068 -13910775164.5257 -15532699423.171 -17775373046.7126 -18132935580.7916 -18885532067.5576 -19907619418.5829 -24136694158.0234

Net income from abroad (current LCU) NY.GSR.NFCY.CN 4000000 4000000 17999872 22999808 17999872 303998976 1265991680 7218003968 12409896960 18710003712 15009841152 2839805952 -60470329344 -123839971328 -315300511744 -337600577536 -199599587328 -335598845952 -462101151744 -1484399837184 -2010699005952 -1924900323328 -3035900149760 -3175801159680 -5245102981120 -5066803118080 -5202597904384 -6616900435968 -6921289465856 -8073800318976 -9615307702272 -33417714466816 -34957208584192 -12552612347904 -10248395948032 -13366105997312 -14272176324608 -18354945392640 -53893719392256 -83764210302976 -92161800000000 -61051200000000 -54513100000000 -77413900000000 -105350112640000 -135000486600000 -142268908660000 -162484685020000 -175865177000000 -196219545049999 -180968887150000 -211689267000000

Net income from abroad (constant LCU) NY.GSR.NFCY.KN 1248324616192 1074494963712 1855930630144 943596961792 335109783552 1684015939584 505821659136 1131023040512 909680705536 1114694483968 787760939008 145505370112 -2622725292032 -4027341864960 -7995901083648 -7644293103616 -3835390853120 -5754900709376 -7424039190528 -19351124049920 -21695175852032 -20113122131968 -26002279366656 -27054563131392 -39467876352000 -36873456058368 -35625206022144 -38909102784512 -34213768200192 -36615799963648 -41354721755136 -45386064461824 -48444941008896 -73036078252032 -35305189015552 -60800924385280 -45309136732160 -56108102189056 -101474205958144 -80354887073792 -92133200000000.3 -66210600000000.3 -56357000000000 -81230800000000 -80468134853760 -107381677898550 -113857472869300 -120563655025460 -96595511323120 -109819268700000 -92992003900000.3 -96452969900000

Net taxes on products (current US$) NY.TAX.NIND.CD

Net taxes on products (current LCU) NY.TAX.NIND.CN

Net taxes on products (constant LCU) NY.TAX.NIND.KN 42933034156032 53776127885312 53833963143168 55838920146944 63011125460992 67885988839424 71248138731520 74920998469632 72196319870976 83861358772224 5972769112064 19862703308800

Net current transfers from abroad (current US$) NY.TRF.NCTR.CD

Net current transfers from abroad (current LCU) NY.TRF.NCTR.CN

Net current transfers from abroad (constant LCU) NY.TRF.NCTR.KN

Terms of trade adjustment (constant LCU) NY.TTF.GNFS.KN -52343218098575.3 -61940554430628.8 -47349651675580.6 -50268207825287.3 -57605213826268 -58336861274089.2 -65095282158550.9 -63555969490813.2 -65384338282767.7 -76878878409973 -83501972947726.9 -90234906189095.6 -104793916107251 -112888918230161 -71341610672949.6 -82695879721481.1 -97356520225408.2 -94334218287021.3 -94958976794777.9 -53624787049822 8525427766558 45835371876009.9 34212576689013.6 813429516470.719 15154121762333 29221791333615.8 -22399585001700.3 -25805734581419.9 -63490686784581.8 -56129623051098.3 -28542864157489.1 -41313094465587.3 -47702119889588.6 -54849307782782.6 -53678943130783.3 -47673333606267.6 -41480526126009.4 -1413162898909.5 34214743078602.9 -15029764317133.8 0 -13571748193606.9 -43184081711525.9 -34618013505747.3 -45302719178928.5 -65257109101273.5 -26927346610351.9 -64274547363183.5 -168353913726967 -130608090714376 -182310347022908 -224816858619710

DEC alternative conversion factor (LCU per US$) PA.NUS.ATLS 149.5829925537 296.2919921875 326 365 393.4200134277 415 415 415 415 415 415 442.049987793 623.0599975586 626.9899902344 631.7600097656 661.4199829102 909.2600097656 1025.9399414063 1110.5799560547 1282.5600585938 1643.8499755859 1685.6999511719 1770.0600585938 1842.8100585938 1950.3199462891 2029.9200439453 2087.1000976563 2160.75 2248.6000976563 2342.3000488281 2909.3798828125 10013.599609375 7855.1499023438 8421.775390625 10260.849609375 9311.19140625 8577.1328125 8938.849609375 9704.7421875 9159.31640625 9141 9698.66 10389.94 9090.4333333333 8770.4333333333

Official exchange rate (LCU per US$, period average) PA.NUS.FCRF 149.5833333333 296.2916666667 326 362.8333333333 391.875 415 415 415 414.999999999 414.999999999 414.999999999 442.0454166659 623.0554999991 626.9939999986 631.7566666642 661.4207499993 909.264833332 1025.9448333315 1110.5799999997 1282.5599999998 1643.8483333333 1685.7041666667 1770.0591666667 1842.8133333333 1950.3175 2029.9208333333 2087.1038666667 2160.753675 2248.607975 2342.2962916667 2909.38 10013.6225 7855.15 8421.775 10260.85 9311.1916666667 8577.1333333333 8938.85 9704.7416666667 9159.3166666667 9141 9698.9625 10389.9375 9090.4333333333 8770.4333333333

PPP conversion factor, GDP (LCU per international $) PA.NUS.PPP 513.46951522 518.47797449 518.32414904 569.66186633 593.22800176 600.31693091 586.61862561 657.90367216 716.79438062 759.82204307 788.60167239 830.01056316 856.49436103 912.54544932 963.88350436 1033.3709327 1105.2897012 1220.7066867 2109.9072985 2373.887161 2798.7298844 3127.9155331 3259.4100241 3367.3357971 3555.3123525 3934.2635544 4348.2268673 4701.4744177 5434.6024665 5807.8470149 6234.740274 6610.8489007

PPP conversion factor (GDP) to market exchange rate ratio PA.NUS.PPPC.RF 0.8189437203 0.820688183 0.7836535975 0.6265115151 0.5782287811 0.5405436391 0.4573810183 0.4002212379 0.4252206213 0.4292634249 0.4279343217 0.4255766162 0.4219350233 0.437231281 0.4460874716 0.4595618998 0.4718822005 0.4195762451 0.2107041804 0.3022077478 0.3323206515 0.3048398186 0.3500529505 0.3925945734 0.3977371259 0.4053959887 0.4747326847 0.5143282374 0.5603457041 0.5589875413 0.6858573233 0.7537653671

PPP conversion factor, private consumption (LCU per international $) PA.NUS.PRVT.PP 803.57965094 817.63005641 843.20651256 913.25982879 966.99801137 977.90679034 1016.0064664 1070.2107964 1111.7198005 1128.5891726 1154.4457264 1211.8293186 1264.7222346 1347.4730304 1425.0988629 1516.9579291 1591.1952392 1651.7131191 2576.1118521 3037.4736868 3047.5567939 3304.6933079 3639.5257473 3793.107549 3924.8533972 4192.8254193 4594.2716795 4753.0580893 5024.8363553 5285.5004752 5467.1289696 5583.759928

Real effective exchange rate index (2005 = 100) PX.REX.REER

Literacy rate, youth female (% of females ages 15-24) SE.ADT.1524.LT.FE.ZS 81.64840035 95.06925265 98.5421609 96.27236105 99.38240944 99.39658982

Ratio of young literate females to males (% ages 15-24) SE.ADT.1524.LT.FM.ZS 0.911343828 0.976047597 99.6713608 99.2217547 99.8442104 99.8458643

Literacy rate, youth male (% of males ages 15-24) SE.ADT.1524.LT.MA.ZS 89.59121447 97.4022711 98.86707685 97.02747277 99.53747847 99.55003197

Literacy rate, youth total (% of people ages 15-24) SE.ADT.1524.LT.ZS 85.43709166 96.207558 98.7054552 96.65104033 99.46010544 99.47374386

Literacy rate, adult female (% of females ages 15 and above) SE.ADT.LITR.FE.ZS 57.69462777 75.27011869 86.79958907 88.78698384 89.10139087 89.67711674

Literacy rate, adult male (% of males ages 15 and above) SE.ADT.LITR.MA.ZS 77.474998 88.02452107 94.03508227 95.15854388 95.38319348 95.64700578

Literacy rate, adult total (% of people ages 15 and above) SE.ADT.LITR.ZS 67.31267192 81.51985243 90.38478936 91.98227127 92.19230071 92.58169512

Ratio of female to male primary enrollment (%) SE.ENR.PRIM.FM.ZS 86.081 84.018 84.365 82.843 80.857 85.521 87.873 87.737 87.611 87.45 89.88 94.3 94.772 95.133 94.179 94.959 94.673 95.872 95.95 97.4 98.345 96.834 96.571 96.282 96.331 96.409 96.599 97.778 97.829 98.104 98.321 96.556 96.495 95.828 97.377 96.711 101.754

Ratio of girls to boys in primary and secondary education (%) SE.ENR.PRSC.FM.ZS 80.629 80.031 79.913 78.647 77.205 81.588 83.566 83.536 83.776 83.812 85.711 89.657 89.97 90.328 91.584 92.206 92.955 93.731 92.125 92.964 92.882 92.978 96.013 97.769 98.07 98.263 98.582 97.318 97.892 97.549 97.983 97.614 101.098

Ratio of female to male secondary enrollment (%) SE.ENR.SECO.FM.ZS 53.326 59.134 57.218 57.786 59.663 63.755 64.353 64.787 66.036 68.666 69.584 73.655 73.528 80.16 81.622 83.189 82.12 82.539 80.772 84.394 85.374 86.093 95.114 97.967 98.763 98.764 99.235 98.897 100.482 100.487 99.119 99.143 100.226

Ratio of female to male tertiary enrollment (%) SE.ENR.TERT.FM.ZS 32.197 36.947 38.069 40.236 46.487 48.396 46.419 48.861 66.337 63.262 54.577 88.128 76.358 86.438 79.681 79.437 91.431 99.174 91.981 95.887 89.226

School enrollment, preprimary (% gross) SE.PRE.ENRR 5.69631 5.49415 5.66888 5.27605 6.72405 6.7664 7.35015 8.38665 9.22982 10.79275 11.86299 14.505 13.12286 13.8841 13.90725 14.09172 14.06616 16.59247 17.10276 16.7768 17.45215 17.61189 18.24391 17.72264 18.36421 18.65808 18.4527 22.533 23.86137 24.22573 26.18979 27.80114 28.06964 33.25337 36.91868 43.44076 45.90642 47.76598 43.43366

School enrollment, preprimary, female (% gross) SE.PRE.ENRR.FE 5.61873 5.79985 6.0086 5.71494 7.52235 8.21135 10.2941 18.84498 19.23444 22.6023 24.30907 24.68514 27.22594 28.99708 29.29783 33.80717 37.53956 44.3624 46.38709 48.75808 43.99256

School enrollment, preprimary, male (% gross) SE.PRE.ENRR.MA 5.77187 5.19608 5.33727 4.84694 5.94221 6.50486 8.18728 17.8988 18.10028 22.46605 23.42895 23.78202 25.18967 26.64748 26.88544 32.71957 36.32024 42.55278 45.44347 46.8107 42.89558

Primary school starting age (years) SE.PRM.AGES 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7

Primary completion rate, female (% of relevant age group) SE.PRM.CMPT.FE.ZS 93.90501 92.70116 91.22556 93.14285 94.99786 96.04809 97.57226 97.02482 95.94191 101.14018 100.59015 104.92544

Primary completion rate, male (% of relevant age group) SE.PRM.CMPT.MA.ZS 92.66704 92.01678 94.79673 92.34093 94.3556 96.09123 96.29706 95.90205 95.73894 103.40563 101.99195 104.12447

Primary completion rate, total (% of relevant age group) SE.PRM.CMPT.ZS 50.52433 51.75514 49.67472 48.0896 47.55733 52.04712 54.80664 63.95286 68.46612 73.59784 82.89185 92.17378 94.52164 93.9084 94.15788 94.41486 91.65257 88.69302 87.27169 90.76902 93.27322 93.27766 92.35427 93.03636 92.7356 94.6716 96.07001 96.92416 96.45408 95.83872 102.29208 101.30306 104.51802 108.79271

Primary education, duration (years) SE.PRM.DURS 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6

Primary education, pupils SE.PRM.ENRL 14870220 15519557 16140125 16643900 16892010 17776617 18779943 19783270 22024819 25537053 27026488 27990275 29108580 29909188 29897115 29882556 29999990 30130564 29933790 29753576 29577704 29598790 29876196 29721859 29447990 29236283 28201934 28690131 28926377 29050834 29142093 29149746 28982708 29796705 29498266 29901051 30341821

Primary education, pupils (% female) SE.PRM.ENRL.FE.ZS 45.6 45 45.1 44.65686 44.08009 45.49947 46.21545 46.21673 46.20685 46.15445 46.81442 47.98625 48.08851 48.16486 47.90072 48.09234 48.00035 48.2967 48.30095 48.66408 48.89424 48.49541 48.41517 48.32803 48.33018 48.33018 48.32745 48.62186 48.62113 48.67859 48.72238 48.26 48.23694 48.0562 48.44783 48.26759 49.52885

Pupil-teacher ratio, primary SE.PRM.ENRL.TC.ZS 28.93 29.01937 29.43001 29.90001 29.47681 29.46432 30.34809 36.00107 37.17652 32.43212 31.57757 28.79975 27.55328 26.43857 25.2978 24.42609 23.96357 23.55995 23.27149 23.21946 23.4541 23.1926 23.05079 22.66127 22.34334 22.02891 22.44616 22.24524 20.90186 20.29418 20.12598 20.41336 20.30194 18.81593 17.48179 16.61194 15.96983

School enrollment, primary (% gross) SE.PRM.ENRR 81.33843 82.57871 83.63544 83.96663 82.9432 85.042 87.71053 90.2089 98.14959 107.5542 112.03219 114.26794 117.12005 118.74434 117.30758 115.95576 115.10457 114.33488 112.4511 110.83585 109.25308 108.72088 109.51867 109.12067 108.68834 108.66381 106.44637 108.64418 109.75221 110.56415 111.44547 112.14914 112.29447 116.2834 115.5349 116.99583 118.12384

School enrollment, primary, female (% gross) SE.PRM.ENRR.FE 75.17976 75.32015 76.45661 75.99361 74.06452 78.33125 81.98945 84.25906 91.60868 100.28591 106.00214 110.88005 113.94159 115.74879 113.75006 112.92155 111.91612 111.89457 110.09638 109.35644 108.32874 106.94779 107.58158 107.02401 106.62778 106.64736 104.57549 107.4041 108.52771 109.48815 110.48624 110.15052 110.25688 113.76321 113.97246 115.00541 119.16959

School enrollment, primary, male (% gross) SE.PRM.ENRR.MA 87.33557 89.64718 90.62572 91.73257 91.59894 91.59294 93.30494 96.03632 104.56252 114.67843 117.93751 117.58243 120.22685 121.67017 120.78056 118.91619 118.2134 116.71255 114.74392 112.2757 110.15231 110.44496 111.40128 111.15738 110.68913 110.6202 108.25776 109.84439 110.93669 111.60447 112.37245 114.07983 114.26223 118.71649 117.04282 118.91609 117.11529

Gross intake rate in grade 1, female (% of relevant age group) SE.PRM.GINT.FE.ZS 102.46162 102.91899 108.59329 104.44703 107.05963 111.92083 115.05072 110.8733 114.84153 118.24894 121.58815 121.43831 117.51716 113.65504

Gross intake rate in grade 1, male (% of relevant age group) SE.PRM.GINT.MA.ZS 108.41596 108.21482 111.40755 111.82346 112.76345 117.72457 114.63427 115.59369 118.95952 122.83113 127.1665 121.08196 120.59644 127.57609

Gross intake rate in grade 1, total (% of relevant age group) SE.PRM.GINT.ZS 89.38755 90.62958 99.29745 109.99213 112.33829 106.5021 118.87645 118.92514 126.71027 121.32925 124.08729 122.70759 107.63137 110.21596 114.10553 113.13815 108.69169 105.57755 104.49243 104.40737 106.06324 105.48503 105.60852 110.02312 108.19758 109.95989 114.87271 114.83885 113.27542 116.93746 120.58132 124.42808 121.25686 119.08535 120.74544

School enrollment, primary (% net) SE.PRM.NENR 68.17633 69.36963 69.17915 71.59494 74.49356 76.87885 83.52597 88.14738 94.90917 97.36771 96.78759 97.78576 97.13166 96.27058 97.19276 96.21186 94.64171 93.81072 93.06601 91.96741 92.56605 92.45652 91.44203 91.42139 90.10333 91.01602 91.18703 91.49998 91.80575 92.38541 95.4495 94.83228 95.70341 95.30961 96.4917

School enrollment, primary, female (% net) SE.PRM.NENR.FE 63.20265 64.37369 62.02292 66.86248 70.03677 78.89505 83.50473 90.8068 94.43318 94.62738 94.61059 94.17123 92.66929 91.87716 91.0007 90.10043 90.60538 90.43817 90.11896 90.13552 88.51969 90.3926 90.7226 90.59797 90.81147 90.73901

School enrollment, primary, male (% net) SE.PRM.NENR.MA 73.01976 74.23435 76.15569 76.21471 78.85167 88.06628 92.69802 98.92669 99.08892 97.87382 99.71044 98.20012 96.56228 95.69258 95.0752 93.78279 94.47159 94.41716 92.72671 92.66896 91.63661 91.61939 91.63628 92.37209 92.76661 93.97586

Net intake rate in grade 1, female (% of official school-age population) SE.PRM.NINT.FE.ZS 43.34434 45.31247 38.61167 36.20224 38.58143 40.51367 40.43596 47.8699 46.11029

Net intake rate in grade 1, male (% of official school-age population) SE.PRM.NINT.MA.ZS 44.45462 46.4104 39.141 38.47167 39.95894 41.71236 37.14535 43.49261 43.11816

Net intake rate in grade 1 (% of official school-age population) SE.PRM.NINT.ZS 43.90889 45.87089 38.88097 37.35711 39.28254 41.12382 38.76072 45.64102 44.58648

School enrollment, primary, private (% of total primary) SE.PRM.PRIV.ZS 33.16994 34.42709 23.58844 20.74207 19.61239 19.14996 18.12676 17.47705 17.31277 17.61737 17.35275 17.42109 17.48324 17.57373 17.0694 17.09502 17.76747 17.69531 17.65192 17.30303 15.75903 15.86492 15.97075 16.14265 16.32233 16.64718 15.89865 18.19616 16.10968 16.37894 16.8167

Persistence to grade 5, female (% of cohort) SE.PRM.PRS5.FE.ZS 96.03622 96.07432 89.54048 99.00523 92.17947 89.87799 84.85074 89.31979

Persistence to grade 5, male (% of cohort) SE.PRM.PRS5.MA.ZS 91.22414 95.59822 93.52713 90.13441 86.56546 88.29139 89.80897 83.12782

Persistence to grade 5, total (% of cohort) SE.PRM.PRS5.ZS 59.98857 59.77086 51.48492 45.58419 45.31181 50.19643 51.20584 56.39151 58.39954 69.07997 74.61964 75.50647 84.48108 84.96098 83.73633 82.69486 82.73977 84.74279 88.20215 90.41437 90.75125 93.52492 95.82656 91.59145 94.32499 89.24789 89.07134 87.35284 86.08655 91.79967

Persistence to last grade of primary, female (% of cohort) SE.PRM.PRSL.FE.ZS 92.66709 92.18085 86.65673 88.71967 87.05085 80.90618 82.82456

Persistence to last grade of primary, male (% of cohort) SE.PRM.PRSL.MA.ZS 86.07519 86.68078 87.42234 83.30077 85.709 85.94947 77.36739

Persistence to last grade of primary, total (% of cohort) SE.PRM.PRSL.ZS 48.80955 49.28971 43.27563 37.98552 37.04645 42.94934 40.82066 49.55267 55.80332 61.72569 69.79971 80.29595 79.03026 77.5472 78.61904 79.70946 79.79753 79.90706 84.55328 87.00325 89.22695 89.31864 87.05061 85.88998 86.36936 83.44681 79.97704 91.79967

Repeaters, primary, female (% of female enrollment) SE.PRM.REPT.FE.ZS 7.38841 7.01439 6.00173 6.15778 5.1141 3.76843 2.89004 3.58128 2.86538 2.65043 2.19344 2.71614 2.71795

Repeaters, primary, male (% of male enrollment) SE.PRM.REPT.MA.ZS 7.82847 6.85512 5.70389 6.17471 5.50376 3.77519 2.88632 5.50875 4.45581 3.95185 3.58357 4.33093 3.88661

Repeaters, primary, total (% of total enrollment) SE.PRM.REPT.ZS 11.99455 11.27244 10.713 10.72251 10.23375 10.98302 12.01716 8.30135 8.79037 9.58984 9.18013 9.30791 10.88517 10.06127 9.69671 9.62066 9.82815 9.67133 9.24859 8.98517 8.42126 7.6158 6.93209 5.84784 6.16648 5.31431 3.7719 2.88813 4.57855 3.68863 3.32644 2.91008 3.55151 3.30779

Trained teachers in primary education, female (% of female teachers) SE.PRM.TCAQ.FE.ZS

Trained teachers in primary education, male (% of male teachers) SE.PRM.TCAQ.MA.ZS

Trained teachers in primary education (% of total teachers) SE.PRM.TCAQ.ZS

Primary education, teachers SE.PRM.TCHR 514007 534800 548424 556652 573061 603327 618818 549519 592439 787400 855876 971893 1056447 1131271 1181807 1223387 1251900 1278889 1286286 1281407 1261089 1276217 1296103 1311571 1317976 1327178 1256426 1289720 1383914 1431486 1447984 1427974 1427583 1583589 1687371 1799973 1899946

Primary education, teachers (% female) SE.PRM.TCHR.FE.ZS 31.79996 36.49862 36.13615 36.55499 32.78242 49.30506 49.70134 49.95918 50.53687 50.47939 51.4284 52.05613 52.25443 52.26082 53.68291 52.23754 52.03871 54.08093 52.29685 61.02205 57.58028 59.0556 59.55412 59.96613

Adjusted net enrollment rate, primary (% of primary school age children) SE.PRM.TENR 68.17633 69.36963 69.17915 71.59494 74.49356 76.87885 83.52597 88.14738 94.90917 97.36771 96.78759 97.78576 97.13166 96.27058 97.19276 96.21186 94.64171 93.81072 93.06601 91.96741 92.56605 92.45652 91.44203 91.42139 93.96285 95.18265 95.31033 95.85104 96.37284 95.08539 98.36876 98.00733 98.74353 98.43657 99.58862

Adjusted net enrollment rate, primary, female (% of primary school age children) SE.PRM.TENR.FE 63.20265 64.37369 62.02292 66.86248 70.03677 78.89505 83.50473 90.8068 94.43318 94.62738 94.61059 94.17123 92.66929 91.87716 91.0007 90.10043 90.60538 90.43817 90.11896 90.13552 92.29948 94.50965 94.87324 94.99368 95.40446 93.46369

Adjusted net enrollment rate, primary, male (% of primary school age children) SE.PRM.TENR.MA 73.01976 74.23435 76.15569 76.21471 78.85167 88.06628 92.69802 98.92669 99.08892 97.87382 99.71044 98.20012 96.56228 95.69258 95.0752 93.78279 94.47159 94.41716 92.72671 92.66896 95.57331 95.83402 95.73314 96.67997 97.30866 96.65198

Children out of school, primary SE.PRM.UNER 5980831 5911106 6276900 5937605 5461254 5070586 3696782 2814217 1228105 644787 798401 557721 731026 961096 731659 998284 1426344 1661494 1877216 2186838 2027947 2054663 2318695 2308097 1599485 1272138 1236013 1090144 948474 1277402 421016 510605 320801 399571 105670

Children out of school, primary, female SE.PRM.UNER.FE 3411907 3391870 3817993 3421688 3171846 2344588 1938670 1097290 683892 683759 693448 758041 962699 1075502 1201399 1328676 1263130 1283320 1318883 1306967 1003605 713088 664387 646619 590578 834772

Children out of school, primary, male SE.PRM.UNER.MA 2568924 2519236 2458907 2515917 2289408 1352194 875547 130815 114509 277337 38211 240243 463645 585992 675817 858162 764817 771343 999812 1001130 595880 559050 571626 443525 357896 442630

Secondary school starting age (years) SE.SEC.AGES 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13

Secondary education, duration (years) SE.SEC.DURS 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6

Secondary education, pupils SE.SEC.ENRL 2459875 2640400 2783738 2965852 3189469 3570080 3833129 4084307 4467512 5721815 6320013 7222213 7445917 9479086 10906515 11545063 11693361 11243323 10965430 10920580 10969305 11360349 12223753 13095913 14209974 14263912 14828085 15140713 15872535 16353933 15993187 16797809 18716929 18314900 19520704 19975916

Secondary education, pupils (% female) SE.SEC.ENRL.FE.ZS 34.16979 36.45042 35.68155 35.93338 36.69915 38.26668 38.49109 38.66245 39.1241 40.12543 40.48901 41.90338 41.88485 43.9857 44.41371 44.86594 44.52828 44.64785 44.10706 45.18278 45.45846 45.65486 48.07133 48.7841 48.98272 48.97066 49.07068 48.96249 49.33718 49.35088 49.00961 49.00622 49.25902

Secondary education, general pupils SE.SEC.ENRL.GC 1815645 1955806 2102558 2246893 2400044 2709953 2881499 3088243 3371231 4879361 5475099 6328508 6511390 7042001 8311594 9532538 10048870 10223123 9757174 9510766 9506882 9538778 9919480 10631996 11430633 12442813 12210019 12894148 13113249 13772782 14155490 13829119 14565882 16315197 15575938 16425000 16656848

Secondary education, general pupils (% female) SE.SEC.ENRL.GC.FE.ZS 37.09998 38.90509 37.36805 37.6021 38.99999 40.17922 40.49705 40.93739 41.28732 40.77911 40.80522 42.22321 41.94889 42.23755 44.13457 44.70038 45.05003 45.38672 45.44938 44.76075 45.943 45.90937 46.0964 48.97884 49.61616 49.90974 49.84946 49.96591 49.98712 50.47041 50.51358 50.36809 50.50236 50.80133

Pupil-teacher ratio, secondary SE.SEC.ENRL.TC.ZS 13.10005 13.63815 12.84415 13.43108 14.36685 16.10254 14.85468 15.66601 15.37848 15.26774 15.10553 14.82182 12.9166 13.54265 13.82294 14.0878 14.13826 14.27041 14.39865 15.7838 14.25666 13.58158 14.23421 14.20076 12.47833 12.26633 13.0443 11.95971 12.59356 12.17648

Secondary education, vocational pupils SE.SEC.ENRL.VO 644230 684594 681180 718959 789425 860127 951630 996064 1096281 842454 844914 893705 934527 1167492 1373977 1496193 1470238 1486149 1454664 1413698 1430527 1440869 1591757 1665280 1767161 2053893 1933937 2027464 2099753 2198443 2164068 2231927 2401732 2738962 3095704 3319068

Secondary education, vocational pupils (% female) SE.SEC.ENRL.VO.FE.ZS 25.91155 29.43774 30.47594 30.7183 29.70403 32.24094 32.41712 31.60911 32.47188 36.33943 38.44001 39.63858 41.43861 42.98583 42.42041 43.65733 38.91565 39.25768 39.74822 39.94909 42.44668 42.62412 42.67632 43.23652 42.98695 43.20637 43.30638 42.4147 41.94152 41.45254 41.28418 41.06811 41.51885

School enrollment, secondary (% gross) SE.SEC.ENRR 17.59602 17.9747 18.10866 18.46851 19.06836 20.55394 21.32036 22.06142 23.47667 27.72459 29.87018 33.32403 33.58809 41.04252 46.4443 48.3809 48.25004 45.71995 43.99844 43.30702 43.02472 44.08231 46.92078 49.69974 53.43017 52.81296 54.97717 56.40542 59.51767 61.70837 60.64027 63.8898 71.49924 70.18403 75.05736 77.15272

School enrollment, secondary, female (% gross) SE.SEC.ENRR.FE 12.18953 13.30667 13.12578 13.47373 14.19957 15.95489 16.64564 17.29648 18.62266 22.52309 24.46337 28.22351 28.42077 43.00426 43.32089 41.48235 39.63442 39.12137 38.40092 40.31113 43.1777 45.94359 51.47305 54.40477 56.04948 59.14225 61.46786 60.29889 64.04573 71.67552 69.86863 74.72939 77.24106

School enrollment, secondary, male (% gross) SE.SEC.ENRR.MA 22.85853 22.50248 22.93986 23.31644 23.79942 25.02548 25.86615 26.69728 28.20076 32.80112 35.15675 38.31877 38.65311 53.64792 53.07526 49.8652 48.26427 47.39746 47.54211 47.76547 50.57499 53.36497 54.11706 55.53371 56.75145 59.88245 61.94189 60.97142 63.73867 71.32831 70.48986 75.37528 77.06715

School enrollment, secondary (% net) SE.SEC.NENR 15.79331 16.13336 16.64782 17.98722 18.85152 19.19047 20.39909 41.23934 41.24583 46.67883 49.08716 50.12947 52.90949 54.75645 55.97764 58.72573 65.7225 64.51148 65.13838 67.2825

School enrollment, secondary, female (% net) SE.SEC.NENR.FE 11.84415 12.07806 12.65847 14.25428 15.00677 15.505 16.6662 38.15222 45.49446 48.72346 49.82236 52.57939 54.55585 55.68681 58.87886 65.89253 64.25595 64.5923 67.02053

School enrollment, secondary, male (% net) SE.SEC.NENR.MA 19.62225 20.06944 20.52432 21.61667 22.59022 22.7761 24.03206 44.26598 47.83154 49.44077 50.42803 53.23023 54.95123 56.25975 58.57732 65.55762 64.75926 65.66771 67.53624

School enrollment, secondary, private (% of total secondary) SE.SEC.PRIV.ZS 42.70587 42.70359 42.72116 42.93786 42.94235 44.16943 43.48848 48.77377 42.88536 43.27081 41.83039

Progression to secondary school, female (%) SE.SEC.PROG.FE.ZS 62.57123 78.85503 82.80925 83.52443 78.28921 88.85369 98.02667 93.00364 92.65643 89.89653

Progression to secondary school, male (%) SE.SEC.PROG.MA.ZS 72.27568 77.16381 80.20934 83.51766 78.63077 88.12996 99.27885 86.47334 91.05989 89.39663

Progression to secondary school (%) SE.SEC.PROG.ZS 30.02458 52.26019 50.75131 52.6332 54.74265 67.45868 78.00011 81.49246 83.52099 78.4617 88.48776 98.66283 89.64626 91.83875 89.64311

Repeaters, secondary, female (% of female enrollment) SE.SEC.REPT.FE.ZS 0.70038 0.70748 0.65079 0.62453 0.56408 0.65054 0.32192 0.18058 0.15235 0.19787 0.20096 0.18917 0.28034 0.35661 0.27795 0.33212 0.40114 0.31526

Repeaters, secondary, male (% of male enrollment) SE.SEC.REPT.MA.ZS 1.20941 1.2571 1.1363 1.19135 1.07873 0.98371 1.12793 0.58244 0.57677 0.49363 0.65338 0.60176 0.70769 0.66611 0.62607 0.59372 0.79658 0.78722

Repeaters, secondary, total (% of total enrollment) SE.SEC.REPT.ZS 2.90693 2.8344 2.42904 2.19871 1.98804 1.99955 1.95969 2.33559 1.72516 1.79927 1.81648 1.63243 1.66529 1.88014 1.26613 1.0802 0.98187 1.00949 0.91594 0.93373 0.84837 0.83064 0.75789 0.38561 0.36619 0.34602 0.42785 0.39561 0.49407 0.5099 0.45022 0.46196 0.59688 0.54746

Secondary education, teachers SE.SEC.TCHR 187776 193604 216732 220820 222002 238045 385186 403422 469631 567223 620857 764294 788929 870455 806384 793558 806396 864587 917697 986896 903706 1040081 1114798 1115098 1151624 1281677 1369424 1434874 1531383 1550054 1640533

Secondary education, teachers, female SE.SEC.TCHR.FE 45079 47153 47956 52921 248436 256749 288166 282717 276943 288355 321859 362176 376380 417499 442761 456491 458983 557070 701550 723525 737154 786985

Secondary education, teachers (% female) SE.SEC.TCHR.FE.ZS 20.79942 21.35359 21.60161 22.23151 32.50529 32.54399 33.10522 35.05985 34.8989 35.75849 37.22691 39.46575 41.6485 40.14101 39.7167 40.9373 39.85528 43.46415 48.89279 47.24651 47.55667 47.9713

School enrollment, tertiary (% gross) SE.TER.ENRR 2.75708 2.71332 2.6539 2.57923 2.49664 2.50078 2.53494 2.49087 2.59852 3.4065 3.74788 3.78273 4.00607 5.26098 6.03194 7.45455 6.74326 7.79307 8.23123 9.27127 9.24021 10.36804 11.16062 11.37587 14.71884 14.04357 14.60953 15.67749 16.07159 16.52611 16.50521 17.27301 20.19529 22.35115 23.11997

School enrollment, tertiary, female (% gross) SE.TER.ENRR.FE 1.35765 1.47361 1.46737 1.44511 2.38919 2.60092 3.31982 3.9426 7.35734 8.63161 8.01125 13.7824 12.14599 13.53801 13.89069 14.21506 15.75936 17.20067 19.34409 21.87742 21.79132

School enrollment, tertiary, male (% gross) SE.TER.ENRR.MA 4.21667 3.98848 3.85451 3.59156 5.13944 5.37421 7.1518 8.06905 11.09092 13.6443 14.67874 15.63905 15.90667 15.66215 17.43289 17.89481 17.23632 17.34396 21.03049 22.81591 24.42267

Tertiary education, teachers (% female) SE.TER.TCHR.FE.ZS 17.15993 17.92142 18.03702 8.08409 40.76209 39.70033 39.31153 39.46638 40.88699 40.45371 40.1547 40.78733

Expenditure per student, primary (% of GDP per capita) SE.XPD.PRIM.PC.ZS 8.18183 0 0 0 0 0 11.49085 11.33554 13.4198 10.5384

Expenditure per student, secondary (% of GDP per capita) SE.XPD.SECO.PC.ZS 46.80311 6.54674 12.15618 10.66808 11.56892 10.62635 9.49279 9.40331 10.93107 8.75897

Expenditure per student, tertiary (% of GDP per capita) SE.XPD.TERT.PC.ZS 172.96124 23.50263 26.9875 30.02019 27.59229 23.71581 16.93602 20.95239 23.0939

Public spending on education, total (% of government expenditure) SE.XPD.TOTL.GB.ZS 11.45362 14.27725 15.98421 14.17022 14.87495 17.2157 15.87477 14.56848 21.08274 17.14149

Public spending on education, total (% of GDP) SE.XPD.TOTL.GD.ZS 2.64225 0.82737 0.99855 1.00435 1.07855 1.07208 2.46003 2.64569 3.218 2.74847 2.87282 3.59965 3.04425 2.9019 3.52513 2.99923

Female legislators, senior officials and managers (% of total) SG.GEN.LSOM.ZS 22 19.7222222222 22.0991253644

Proportion of seats held by women in national parliaments (%) SG.GEN.PARL.ZS 12.4 11.4 11.4 8 8 8 8 11.3 11.3 11.3 11.6 11.6 17.9 18 18.2 18.2

Condom use, population ages 15-24, female (% of females ages 15-24) SH.CON.1524.FE.ZS 1.2

Condom use, population ages 15-24, male (% of males ages 15-24) SH.CON.1524.MA.ZS

Number of infant deaths SH.DTH.IMRT 505000 500000 493000 488000 486000 485000 485000 482000 478000 473000 467000 456000 445000 434000 424000 416000 406000 398000 391000 385000 379000 370000 361000 352000 341000 328000 312000 296000 279000 264000 251000 241000 233000 225000 219000 211000 202000 189000 179000 171000 166000 163000 161000 159000 155000 151000 143000 134000 125000 116000 109000 104000

Number of under-five deaths SH.DTH.MORT 832000 829000 820000 812000 808000 807000 803000 794000 783000 770000 756000 738000 719000 701000 682000 667000 650000 635000 622000 610000 598000 583000 567000 549000 530000 508000 485000 459000 432000 408000 386000 366000 350000 334000 322000 307000 292000 273000 256000 243000 233000 226000 219000 214000 207000 199000 189000 177000 165000 152000 143000 134000

Number of neonatal deaths SH.DTH.NMRT 140000 135000 130000 125000 121000 117000 113000 109000 105000 103000 101000 99000 96000 93000 89000 86000 83000 79000 76000 72000 69000 66000

Women's share of population ages 15+ living with HIV (%) SH.DYN.AIDS.FE.ZS 29.8

Prevalence of HIV, total (% of population ages 15-49) SH.DYN.AIDS.ZS 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2 0.2 0.3

Mortality rate, female child (per 1,000 female children age one) SH.DYN.CHLD.FE 41.7 34.8 26.5 19.5 11 12

Mortality rate, male child (per 1,000 male children age one) SH.DYN.CHLD.MA 36.6 36 29.9 19.2 12.9 13

Mortality rate, under-5 (per 1,000 live births) SH.DYN.MORT 216.4 210.8 204.9 199.7 195.4 191.3 186.8 181.1 175.2 169.1 163.5 157.5 152.1 147.3 142.7 138.5 134.1 130.1 126.4 123.2 119.9 116.1 112.1 108.1 104.3 100.3 96.5 92.7 88.7 85.1 81.6 78 74.5 71.1 68.3 65.3 62.6 59.4 56.7 54.5 52.5 50.5 48.2 46 43.9 42 40.1 38.2 36.8 34.8 33.3 31.8

Mortality rate, neonatal (per 1,000 live births) SH.DYN.NMRT 29.2 28.5 27.7 26.9 26.2 25.4 24.8 23.9 23.2 22.6 22 21.4 20.8 20.1 19.4 18.8 18.2 17.6 17.1 16.4 15.9 15.3

Improved water source, rural (% of rural population with access) SH.H2O.SAFE.RU.ZS 61 62 63 63 64 65 65 66 66 67 68 68 69 70 70 71 72 72 73 73 74

Improved water source, urban (% of urban population with access) SH.H2O.SAFE.UR.ZS 91 91 91 91 91 91 91 91 91 91 91 91 91 91 91 91 91 91 92 92 92

Improved water source (% of population with access) SH.H2O.SAFE.ZS 70 71 72 72 73 74 75 76 76 77 78 78 78 79 79 80 80 80 81 81 82

Children (0-14) living with HIV SH.HIV.0014

Prevalence of HIV, female (% ages 15-24) SH.HIV.1524.FE.ZS 0.2

Prevalence of HIV, male (% ages 15-24) SH.HIV.1524.MA.ZS 0.2

Antiretroviral therapy coverage (% of people with advanced HIV infection) SH.HIV.ARTC.ZS 24 24

Immunization, DPT (% of children ages 12-23 months) SH.IMM.IDPT 1 1 6 13 27 47 50 54 57 60 62 64 66 68 69 72 73 72 72 71 71 70 71 71 72 72 72 58 62 63 63

Immunization, measles (% of children ages 12-23 months) SH.IMM.MEAS 6 13 26 45 48 51 54 58 61 65 68 66 63 79 77 76 75 74 73 72 74 76 77 79 82 80 82 89 89

Hospital beds (per 1,000 people) SH.MED.BEDS.ZS 0.740457058 0.6546000242 0.8183000088 0.5568000078 0.7026000023 0.665199995 0.6686000228 0.6650000215 0.6575999856 0.6600999832 0.6 0.6 0.6

Community health workers (per 1,000 people) SH.MED.CMHW.P3 0.001

Nurses and midwives (per 1,000 people) SH.MED.NUMW.P3 0.82 2.041 2.041

Physicians (per 1,000 people) SH.MED.PHYS.ZS 0.0206178986 0.0315454416 0.0373000018 0.0370999984 0.0854000002 0.0803000033 0.1062999964 0.1422999948 0.1441999972 0.1476999968 0.1501999944 0.1615999937 0.1599999964 0.162 0.13 0.13 0.288 0.288

Notified cases of malaria (per 100,000 people) SH.MLR.INCD 1645

Use of insecticide-treated bed nets (% of under-5 population) SH.MLR.NETS.ZS 0.1000000015 3.3

Children with fever receiving antimalarial drugs (% of children under age 5 with fever) SH.MLR.TRET.ZS 0.7 0.8

Number of maternal deaths SH.MMR.DTHS 29000 19000 16000 12000 9600

Lifetime risk of maternal death (1 in: rate varies by country) SH.MMR.RISK 49 81 110 150 210

Lifetime risk of maternal death (%) SH.MMR.RISK.ZS 2.0222644364 1.2364974455 0.8987045984 0.6599876479 0.4801183337

Smoking prevalence, females (% of adults) SH.PRV.SMOK.FE 5.2 5.101548

Smoking prevalence, males (% of adults) SH.PRV.SMOK.MA 65.6 61.30266

Improved sanitation facilities (% of population with access) SH.STA.ACSN 32 33 34 36 37 38 40 41 42 44 44 45 46 47 49 50 50 51 52 54 54

Improved sanitation facilities, rural (% of rural population with access) SH.STA.ACSN.RU 21 22 23 24 25 26 27 28 29 30 30 31 32 33 34 35 36 37 38 39 39

Improved sanitation facilities, urban (% of urban population with access) SH.STA.ACSN.UR 56 57 58 59 60 60 61 62 63 64 64 65 66 67 68 69 69 70 71 72 73

Pregnant women receiving prenatal care (%) SH.STA.ANVC.ZS 76.3 82.3 89.4 88.3 91.5 88.6 90.38 91.23 92.65 94.51 95.26

ARI treatment (% of children under 5 taken to a health provider) SH.STA.ARIC.ZS 64.4194646634 62.7800042033 68.8 61.2747900164 66.4

Exclusive breastfeeding (% of children under 6 months) SH.STA.BFED.ZS 39.5 32 15.3

Births attended by skilled health staff (% of total) SH.STA.BRTC.ZS 36.3 40.7 31.7 36.5 49.7 43.2 56 66.9 68.4 66.3 71.5 79.4 74.86 82.2

Low-birthweight babies (% of births) SH.STA.BRTW.ZS 9.1 9.7 10.3 9 8.8 11.1

Malnutrition prevalence, weight for age (% of children under 5) SH.STA.MALN.ZS 35.9 31 29.8 27.4 25.8 22.8 24.8 23.4 23 23.1 19.7 24.4 19.6 18.6

Maternal mortality ratio (modeled estimate, per 100,000 live births) SH.STA.MMRT 600 420 340 270 220

Maternal mortality ratio (national estimate, per 100,000 live births) SH.STA.MMRT.NE 307 230

Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding) SH.STA.ORCF.ZS 60.6 56.0351550865 54.3

Prevalence of overweight (% of children under 5) SH.STA.OWGH.ZS 1.5 1.5 5.1 11.2 12.3

Malnutrition prevalence, height for age (% of children under 5) SH.STA.STNT.ZS 42.4 41.6 28.6 40.1 39.2

Prevalence of wasting (% of children under 5) SH.STA.WAST.ZS 5.5 5.4 14.4 14.8 12.3

Tuberculosis treatment success rate (% of registered cases) SH.TBS.CURE.ZS 94 91 81 54 58 50 87 86 86 87 90 91 91 91 91 91 90

Tuberculosis case detection rate (%, all forms) SH.TBS.DTEC.ZS 20 16 25 16 12 8.7 6 5.3 9.5 16 19 21 35 39 47 56 61 61 65 65 66 70

Incidence of tuberculosis (per 100,000 people) SH.TBS.INCD 206 205 205 205 205 205 204 204 204 204 204 204 204 202 201 199 197 195 193 191 189 187

Newborns protected against tetanus (%) SH.VAC.TTNS.ZS 87 83 79

Outpatient visits per capita SH.VST.OUTP

External resources for health (% of total expenditure on health) SH.XPD.EXTR.ZS 0 0 0 0 0 0 0 0.9637568019 1.3050322464 1.4086251509 1.8299334924 1.5061388659 1.3844309451 1.5346228456 1.379786609 1.3247195656

Out-of-pocket health expenditure (% of total expenditure on health) SH.XPD.OOPC.TO.ZS 46.6190622904 46.3553275162 47.2741108331 47.9866893976 48.6025365834 46.217885309 41.5260721281 44.6751901614 44.4127067264 44.7094995949 33.6566972902 43.1354490308 40.6413346096 40.2952795759 40.5046702841 38.2535166293

Out-of-pocket health expenditure (% of private expenditure on health) SH.XPD.OOPC.ZS 72.5085382593 72.5525830539 72.6115619118 73.1518372562 73.4569731321 72.8958959603 73.5170320075 72.1687287042 74.109484205 73.87991441 65.3109191019 73.6304327879 74.9486310817 75.2852397104 75.1534865485 75.1296908169

Health expenditure per capita (current US$) SH.XPD.PCAP 20.8581049043 23.5581748107 21.2416705688 10.0806530374 16.1278300076 15.842502523 17.3257985184 20.751164852 27.8414908964 28.0962834906 26.8435713499 39.6563677393 50.5679681883 53.3609357782 56.3513708821 76.8932152282

Health expenditure per capita, PPP (constant 2005 international $) SH.XPD.PCAP.PP.KD 44.7130399627 49.2465910978 49.8138765451 46.9382985154 52.3467749322 46.7686494713 55.8359410095 58.3092026563 69.7719518061 70.6260812424 66.2157256058 83.5555896077 98.3838594954 95.2639452365 100.4436931358 112.0697208962

Health expenditure, private (% of GDP) SH.XPD.PRIV.ZS 1.156402564 1.1704936589 1.149409316 1.259669303 1.4048931605 1.2495078198 1.269091283 1.384352982 1.5184230858 1.4328771925 1.0607679229 1.4651509835 1.4747882761 1.3151657765 1.3368802317 1.3291610079

Health expenditure, public (% of total health expenditure) SH.XPD.PUBL 35.7054170315 36.1079570637 34.8945132312 34.4012519747 33.8353671394 36.5974110063 43.5150318312 38.0961935126 40.0714939486 39.4835525298 48.4669673111 41.4162766705 45.7744137244 46.4765208547 46.104070291 49.083356775

Health expenditure, public (% of government expenditure) SH.XPD.PUBL.GX.ZS 4.1102619007 4.2714221708 3.3200126581 3.4219495792 3.7436288043 4.5260174928 4.7124118633 4.8174936681 5.1456332293 5.0243967826 5.4310377103 5.1845546444 6.4919464782 5.7332594998 6.8367120516 7.7523856609

Health expenditure, public (% of GDP) SH.XPD.PUBL.ZS 0.6421977389 0.6614929315 0.6160475956 0.6605949412 0.718436328 0.7212442262 0.9776857342 0.8519440416 1.0153011564 0.9348711675 0.9976553205 1.0358013292 1.2449393975 1.1420096491 1.1436043595 1.2813037119

Health expenditure, total (% of GDP) SH.XPD.TOTL.ZS 1.7986003029 1.8319865904 1.7654569116 1.9202642442 2.1233294885 1.9707520459 2.2467770171 2.2362970236 2.5337242422 2.36774836 2.0584232434 2.5009523127 2.7197276736 2.4571754257 2.4804845912 2.6104647198

Income share held by second 20% SI.DST.02ND.20 12.93 13.18 13.19 13.15 12.67 13.35 13.02 12.03

Income share held by third 20% SI.DST.03RD.20 16.88 16.84 16.83 16.74 16.33 16.83 16.53 15.83

Income share held by fourth 20% SI.DST.04TH.20 22.05 21.83 21.69 21.53 21.28 21.36 21.3 21.04

Income share held by highest 20% SI.DST.05TH.20 39.46 38.79 38.9 39.11 40.71 38.88 39.62 42.76


Income share held by lowest 10% SI.DST.FRST.10 3.74 4.07 4.17 4.22 4 4.25 4.29 3.67

Income share held by lowest 20% SI.DST.FRST.20 8.68 9.36 9.39 9.47 9.01 9.58 9.53 8.34

Poverty headcount ratio at $2 a day (PPP) (% of population) SI.POV.2DAY 88.4 91.1 84.59 84.57 77.01 81.55 66.97 53.8 63.35 56.13 54.4 52.68 46.12

Poverty headcount ratio at $1.25 a day (PPP) (% of population) SI.POV.DDAY 62.84 68.16 54.27 54.4 43.38 47.7 29.31 21.44 28.63 24.2 22.64 20.42 18.06

Poverty gap at $2 a day (PPP) (%) SI.POV.GAP2 42.83 45.38 36.97 37.07 30.67 33.26 22.44 17.28 21.97 18.57 17.67 16.52 14.29

Poverty gap at $1.25 a day (PPP) (%) SI.POV.GAPS 21.36 23.14 15.62 15.67 11.44 12.52 6.03 4.56 6.74 5.16 4.73 4.09 3.31

GINI index SI.POV.GINI 30.47 29.27 29.19 29.31 31.33 28.99 29.74 34.01

Poverty gap at national poverty line (%) SI.POV.NAGP 3.1 3 2.9 3.7 5.1 2.8 2.5 2.2 2.1

Poverty headcount ratio at national poverty line (% of population) SI.POV.NAHC 17.6 23.4 18.2 17.4 16.7 16 17.8 16.6 15.4 14.2 13.3 12.5

Poverty gap at rural poverty line (%) SI.POV.RUGP 3.6 3.6 3.7 4.6 6.5 3.4 3.1 2.8 2.6

Poverty headcount ratio at rural poverty line (% of rural population) SI.POV.RUHC 19.8 26 21.1 20.2 20.1 20 21.8 20.4 18.9 17.4 16.6 15.7

Poverty gap at urban poverty line (%) SI.POV.URGP 2.4 2.3 2.1 2.8 3.6 2.1 1.9 1.6 1.5

Poverty headcount ratio at urban poverty line (% of urban population) SI.POV.URHC 13.6 19.4 14.5 13.6 12.1 11.7 13.5 12.5 11.6 10.7 9.9 9.2

Child employment in agriculture, female (% of female economically active children ages 7-14) SL.AGR.0714.FE.ZS 48.72

Child employment in agriculture, male (% of male economically active children ages 7-14) SL.AGR.0714.MA.ZS 65.5

Child employment in agriculture (% of economically active children ages 7-14) SL.AGR.0714.ZS 57.85

Employees, agriculture, female (% of female employment) SL.AGR.EMPL.FE.ZS 54.2000007629 53.7999992371 53.5999984741 55.7000007629 55.7000007629 56.7999992371 57 56.2999992371 54.5 56.5 51.2000007629 47.2999992371 43.7999992371 45 42 46 44.4000015259 46.7000007629 44.5 45.4000015259 47.5 44.5999984741 44.2999992371 41.0999984741 41.4000015259 39.9000015259 38.7999992371 38

Employees, agriculture, male (% of male employment) SL.AGR.EMPL.MA.ZS 57.5 55.2000007629 55.2999992371 54.7000007629 54.5999984741 55.4000015259 55.7000007629 55.5999984741 53.5 53.7999992371 50.2000007629 45.4000015259 44.0999984741 43.4000015259 40.7000007629 44.2999992371 43.2999992371 44.4000015259 43.2999992371 43.7000007629 45.7000007629 42.5999984741 43.7999992371 42.5 41.0999984741 40.5999984741 40.2000007629 39

Employment in agriculture (% of total employment) SL.AGR.EMPL.ZS 56.4000015259 54.7000007629 54.7000007629 55.0999984741 55 55.9000015259 56.2000007629 55.9000015259 53.9000015259 54.9000015259 50.5999984741 46.0999984741 44 44 41.2000007629 45 43.2000007629 45.2999992371 43.7999992371 44.2999992371 46.4000015259 43.2999992371 44 42 41.2000007629 40.2999992371 39.7000007629 38.2999992371

Employment to population ratio, ages 15-24, female (%) SL.EMP.1524.SP.FE.ZS 36.7999992371 36.9000015259 37.2999992371 36.5 35.2000007629 36.0999984741 34.9000015259 31.5 35 35.7000007629 34.2999992371 31.5 31.2000007629 30.2000007629 27.6000003815 28.7000007629 31.2000007629 31.5 31.8999996185 30.6000003815

Employment to population ratio, ages 15-24, male (%) SL.EMP.1524.SP.MA.ZS 55 56.7000007629 53.4000015259 49.0999984741 50.5999984741 54.2999992371 53.7999992371 45.9000015259 55.9000015259 54.5999984741 53.5999984741 49.2000007629 49.4000015259 48.2000007629 46.0999984741 46.4000015259 48.2000007629 48.7999992371 49 48.9000015259

Employment to population ratio, ages 15-24, total (%) SL.EMP.1524.SP.ZS 46 46.9000015259 45.4000015259 42.9000015259 43 45.2999992371 44.4000015259 38.7999992371 45.5999984741 45.2000007629 44.0999984741 40.4000015259 40.4000015259 39.2999992371 37 37.5999984741 39.7999992371 40.2999992371 40.5 39.9000015259

Share of women employed in the nonagricultural sector (% of total nonagricultural employment) SL.EMP.INSV.FE.ZS 29.2 30.1 30.4 30.3 30.1 29 29.6 30 31.3 31.1 31.7 30.7 29.7 29.5 29 30.3 31.3 30.9 32.4

Employers, female (% of employment) SL.EMP.MPYR.FE.ZS 1.1000000238 1.1000000238 1 1.1000000238 1.2000000477 1.1000000238 1.3999999762 1.2999999523

Employers, male (% of employment) SL.EMP.MPYR.MA.ZS 4.1999998093 4.0999999046 3.9000000954 4.3000001907 4 4 3.7999999523 3.9000000954

Employers, total (% of employment) SL.EMP.MPYR.ZS 1.7000000477 1.7000000477 2.9000000954 2.2999999523 3.0999999046 3 2.9000000954 3.2000000477 3 3 2.9000000954 2.9000000954 2.9000000954

Self-employed, female (% of females employed) SL.EMP.SELF.FE.ZS 70.6999969482 71.1999969482 72.4000015259 71.5 68.5999984741 68 69.3000030518 68.3000030518

Self-employed, male (% of males employed) SL.EMP.SELF.MA.ZS 64.4000015259 65.8000030518 67.0999984741 66.1999969482 65.3000030518 65.0999984741 64.0999984741 65.5999984741

Self-employed, total (% of total employed) SL.EMP.SELF.ZS 64.5 67.0999984741 66.9000015259 67.1999969482 66.6999969482 67.6999969482 69 68.0999984741 66.4000015259 66.0999984741 66 67.4000015259 66.5999984741

Employment to population ratio, 15+, female (%) SL.EMP.TOTL.SP.FE.ZS 47.5 47 47.9000015259 48.2000007629 47.7999992371 48.4000015259 46.5 46.5999984741 47.4000015259 47.0999984741 45.2999992371 44 43.4000015259 43.5 42.9000015259 43.7999992371 45.2000007629 46.0999984741 46.7000007629 46.5999984741

Employment to population ratio, 15+, male (%) SL.EMP.TOTL.SP.MA.ZS 78.9000015259 79.5999984741 79.8000030518 79.1999969482 79.5 81.0999984741 79.5999984741 77.1999969482 79.5999984741 79.8000030518 78.5 78.0999984741 78.4000015259 78.1999969482 77.1999969482 77.5999984741 77.6999969482 77.5999984741 78 79

Employment to population ratio, 15+, total (%) SL.EMP.TOTL.SP.ZS 63.0999984741 63.2000007629 63.7000007629 63.5999984741 63.5 64.5999984741 62.9000015259 61.7999992371 63.4000015259 63.2999992371 61.7999992371 60.9000015259 60.7999992371 60.7000007629 59.9000015259 60.5 61.2999992371 61.7000007629 62.2000007629 62.5999984741

Vulnerable employment, female (% of female employment) SL.EMP.VULN.FE.ZS 69.5999984741 70.0999984741 71.4000015259 70.4000015259 67.4000015259 66.9000015259 67.9000015259 67

Vulnerable employment, male (% of male employment) SL.EMP.VULN.MA.ZS 60.0999984741 61.7000007629 63.2000007629 61.9000015259 61.2000007629 61.0999984741 60.2999992371 61.7999992371

Vulnerable employment, total (% of total employment) SL.EMP.VULN.ZS 62.7999992371 65.4000015259 64 64.9000015259 63.7000007629 64.6999969482 66.0999984741 64.9000015259 63.4000015259 63.0999984741 63.0999984741 64.4000015259 63.7000007629

Wage and salaried workers, female (% of females employed) SL.EMP.WORK.FE.ZS 29.2999992371 28.7999992371 27.6000003815 28.5 31.3999996185 32 30.7000007629 31.7000007629

Wage and salary workers, male (% of males employed) SL.EMP.WORK.MA.ZS 35.5999984741 34.2000007629 32.9000015259 33.7999992371 34.7000007629 34.9000015259 35.9000015259 34.4000015259

Wage and salaried workers, total (% of total employed) SL.EMP.WORK.ZS 35.5 32.9000015259 33.0999984741 32.7999992371 33.2999992371 32.2999992371 31 31.8999996185 33.5999984741 33.9000015259 34 32.5999984741 33.4000015259

Contributing family workers, female (% of females employed) SL.FAM.WORK.FE.ZS 38.5999984741 36.2000007629 41.5 38.5 37.5 34.0999984741 33.5999984741 32.4000015259

Contributing family workers, male (% of males employed) SL.FAM.WORK.MA.ZS 8.1000003815 7 8.5 7.5 7.6999998093 7.6999998093 7.8000001907 8.1000003815

Contributing family workers, total (% of total employed) SL.FAM.WORK.ZS 18.5 19.5 18.2999992371 20.1000003815 19.3999996185 17.6000003815 20.2999992371 18.5 18 16.8999996185 17.2999992371 16.8999996185 17.2999992371

GDP per person employed (constant 1990 PPP $) SL.GDP.PCAP.EM.KD 5350 5475 4912 5071 5282 5179 5011 5104 5239 5640 5945 6427 6707 7131 7404 8205 8270 8688 7353 7315 7588 7780 8056 8335 8670 9140 9491 9642 9960 10186 10474 11037

Employees, industry, female (% of female employment) SL.IND.EMPL.FE.ZS 13.1000003815 14.5 12.1999998093 9.3000001907 9.3999996185 9.1000003815 12 12.3999996185 12.8000001907 12.8000001907 14.3999996185 16.2000007629 16 15.8999996185 16.2999992371 13.8999996185 13 15 16.1000003815 15.8000001907 15.1999998093 14.1999998093 15.8999996185 15.3000001907 15 14.6999998093 14.8999996185 15

Employees, industry, male (% of male employment) SL.IND.EMPL.MA.ZS 13.1000003815 15.1999998093 14.1000003815 7.5 7.5 7.6999998093 14.1000003815 14.6000003815 15.6000003815 14.8999996185 16.5 20.2000007629 19.7000007629 19.5 20.7000007629 17.7999992371 19.2999992371 19 20.2999992371 20.3999996185 19.1000003815 20.1000003815 20.2999992371 20.2999992371 21 21.2000007629 21.2000007629 22

Employment in industry (% of total employment) SL.IND.EMPL.ZS 13.1000003815 14.8999996185 13.3999996185 8.1999998093 8.3000001907 8.3000001907 13.3000001907 13.6999998093 14.5 14.1000003815 15.6999998093 18.7000007629 18.3999996185 18.1000003815 19 16.2999992371 17.7999992371 17.3999996185 18.7000007629 18.7999992371 17.7000007629 18 18.7000007629 18.6000003815 18.7999992371 18.7999992371 18.7999992371 19.2999992371

Child employment in manufacturing, female (% of female economically active children ages 7-14) SL.MNF.0714.FE.ZS 10.74

Child employment in manufacturing, male (% of male economically active children ages 7-14) SL.MNF.0714.MA.ZS 3.28

Child employment in manufacturing (% of economically active children ages 7-14) SL.MNF.0714.ZS 6.68

Child employment in services, female (% of female economically active children ages 7-14) SL.SRV.0714.FE.ZS 32.37

Child employment in services, male (% of male economically active children ages 7-14) SL.SRV.0714.MA.ZS 22.64

Child employment in services (% of economically active children ages 7-14) SL.SRV.0714.ZS 27.07

Employees, services, female (% of female employment) SL.SRV.EMPL.FE.ZS 32.7000007629 31.7999992371 34 34.7000007629 34.9000015259 28.8999996185 30.7999992371 31.1000003815 32.4000015259 30.5 34.2000007629 36.2000007629 40.0999984741 39.0999984741 41.7000007629 40 42.5999984741 38.2999992371 39.4000015259 38.7999992371 37.2999992371 41.2000007629 39.7000007629 43.5 43.5 45.2999992371 46.2999992371 47

Employees, services, male (% of male employment) SL.SRV.EMPL.MA.ZS 29.3999996185 29.7000007629 30.6000003815 37.7000007629 37.9000015259 31.3999996185 30.2000007629 29.7000007629 30.7000007629 31.2000007629 33.0999984741 34.2000007629 36.2000007629 37.0999984741 38.5999984741 38 37.5 36.7000007629 36.4000015259 35.7999992371 35.0999984741 37.2999992371 35.9000015259 37.0999984741 37.7999992371 38.0999984741 38.5999984741 40

Employment in services (% of total employment) SL.SRV.EMPL.ZS 30.3999996185 30.3999996185 31.7999992371 36.5 36.7000007629 30.3999996185 30.3999996185 30.2000007629 31.3999996185 30.8999996185 33.5 35 37.5999984741 37.9000015259 39.7999992371 38.7999992371 38.9000015259 37.2999992371 37.5 36.9000015259 35.9000015259 38.7000007629 37.2000007629 39.2999992371 39.9000015259 40.7999992371 41.5 42.2999992371

Children in employment, female (% of female children ages 7-14) SL.TLF.0714.FE.ZS 9.101751 6.2

Children in employment, male (% of male children ages 7-14) SL.TLF.0714.MA.ZS 8.777495 7

Children in employment, study and work, female (% of female children in employment, ages 7-14) SL.TLF.0714.SW.FE.ZS

Children in employment, study and work, male (% of male children in employment, ages 7-14) SL.TLF.0714.SW.MA.ZS

Children in employment, study and work (% of children in employment, ages 7-14) SL.TLF.0714.SW.ZS 75.05071 89

Children in employment, work only, female (% of female children in employment, ages 7-14) SL.TLF.0714.WK.FE.ZS

Children in employment, work only, male (% of male children in employment, ages 7-14) SL.TLF.0714.WK.MA.ZS

Children in employment, work only (% of children in employment, ages 7-14) SL.TLF.0714.WK.ZS 24.94929 11

Children in employment, total (% of children ages 7-14) SL.TLF.0714.ZS 8.934132 6.6

Labor force participation rate for ages 15-24, female (%) SL.TLF.ACTI.1524.FE.ZS 42.0999984741 41.2000007629 40.4000015259 41.5 42.5999984741 42.7999992371 43 41.7000007629 39.0999984741 43.4000015259 43.5999984741 43.9000015259 44.2000007629 44.2000007629 44.2000007629 44.2000007629 43.5 42.7999992371 42.0999984741 41.2999992371 40.7000007629 40.7000007629

Labor force participation rate for ages 15-24, male (%) SL.TLF.ACTI.1524.MA.ZS 60.2999992371 61 61.5999984741 58.9000015259 56 59.5999984741 62.7999992371 62.4000015259 55 67.1999969482 66.5 65.6999969482 64.8000030518 64.8000030518 64.8000030518 64.6999969482 63.9000015259 63.0999984741 62.2000007629 62.5 61.5 61.0999984741

Labor force participation rate for ages 15-24, total (%) SL.TLF.ACTI.1524.ZS 51.2999992371 51.2000007629 51.0999984741 50.2000007629 49.4000015259 51.2999992371 53 52.0999984741 47.0999984741 55.4000015259 55.2000007629 55 54.5999984741 54.5999984741 54.5999984741 54.5999984741 53.7999992371 53.0999984741 52.2999992371 52 51.2000007629 51

Labor force participation rate, female (% of female population ages 15-64) SL.TLF.ACTI.FE.ZS 51.9000015259 51 50.0999984741 51.4000015259 52.7000007629 52.7999992371 53 51 51.5 52.7000007629 52.2000007629 51.7000007629 51.2000007629 51.5 51.7000007629 52 52.4000015259 52.7999992371 53.2000007629 53.2000007629 53.2000007629

Labor force participation rate, male (% of male population ages 15-64) SL.TLF.ACTI.MA.ZS 82.5999984741 82.9000015259 83.3000030518 83.8000030518 83.6999969482 85 86.0999984741 84.8000030518 82.8000030518 86.5 86.6999969482 86.6999969482 86.8000030518 87 87.1999969482 87.4000015259 87.0999984741 86.5999984741 86.0999984741 86.4000015259 86.3000030518

Labor force participation rate, total (% of total population ages 15-64) SL.TLF.ACTI.ZS 67.1999969482 66.9000015259 66.5999984741 67.5 68.1999969482 68.9000015259 69.5 67.8000030518 67.1999969482 69.5999984741 69.4000015259 69.1999969482 69 69.1999969482 69.4000015259 69.6999969482 69.6999969482 69.6999969482 69.5999984741 69.8000030518 69.6999969482

Labor participation rate, female (% of female population ages 15+) SL.TLF.CACT.FE.ZS 50.2000007629 49.2999992371 48.5 49.5999984741 50.7000007629 50.9000015259 51.0999984741 49.2999992371 49.7000007629 50.9000015259 50.4000015259 49.9000015259 49.4000015259 49.5999984741 49.7999992371 50 50.2999992371 50.7000007629 51 51.0999984741 51

Ratio of female to male labor participation rate (%) SL.TLF.CACT.FM.ZS 61.8988923643 60.4907966099 59.2909513332 60.3406329873 61.8292692231 61.1044413699 60.5450207942 59.326113288 61.1316099598 60.0944549703 59.4339619246 58.8443393044 58.2547166841 58.3529393813 58.4507054235 58.6166450307 59.1764696907 60.0000009029 60.7142857143 60.6168405982 60.5700734542

Labor participation rate, male (% of male population ages 15+) SL.TLF.CACT.MA.ZS 81.0999984741 81.5 81.8000030518 82.1999969482 82 83.3000030518 84.4000015259 83.0999984741 81.3000030518 84.6999969482 84.8000030518 84.8000030518 84.8000030518 85 85.1999969482 85.3000030518 85 84.5 84 84.3000030518 84.1999969482

Labor participation rate, total (% of total population ages 15+) SL.TLF.CACT.ZS 65.5999984741 65.3000030518 65 65.8000030518 66.3000030518 67 67.5999984741 66.0999984741 65.4000015259 67.5999984741 67.4000015259 67.1999969482 67 67.0999984741 67.3000030518 67.5 67.5 67.4000015259 67.3000030518 67.5 67.4000015259

Part time employment, female (% of total female employment) SL.TLF.PART.FE.ZS 37.7999992371 36.5 39 37.7999992371 33.0999984741 31.3999996185 31.7000007629 31

Part time employment, male (% of total male employment) SL.TLF.PART.MA.ZS 20.6000003815 19.7000007629 22.6000003815 22.1000003815 18.5 16.7999992371 18.1000003815 16.7000007629

Part time employment, female (% of total part time employment) SL.TLF.PART.TL.FE.ZS 46.5 46.7999992371 45.5 45.2000007629 46.5 46.7999992371 43.5999984741 44.2999992371

Part time employment, total (% of total employment) SL.TLF.PART.ZS 26.1000003815 25.1000003815 27.8999996185 27.2999992371 23.2000007629 21.3999996185 22.2000007629 21

Labor force with primary education, female (% of female labor force) SL.TLF.PRIM.FE.ZS 57.7000007629 50.9000015259 46.7000007629 22.1000003815 51 51.0999984741 51.5999984741 56.0999984741 55 55.5999984741 53.2999992371 53.9000015259 51.5999984741

Labor force with primary education, male (% of male labor force) SL.TLF.PRIM.MA.ZS 57.5 54.4000015259 53.0999984741 31.7000007629 55.4000015259 55.4000015259 56.2000007629 59.4000015259 58.2000007629 59.5999984741 56.7999992371 57.5 54.5999984741

Labor force with primary education (% of total) SL.TLF.PRIM.ZS 57.5999984741 52.5999984741 50.5999984741 27.5 53.2000007629 53.2000007629 54 57.7000007629 56.4000015259 57.5999984741 55.0999984741 55.7000007629 53.5

Labor force with secondary education, female (% of female labor force) SL.TLF.SECO.FE.ZS 12.1000003815 13.6999998093 15.1999998093 7.5999999046 16 15.6999998093 15.8999996185 16.5 16.8999996185 17.8999996185 19.1000003815 18 19

Labor force with secondary education, male (% of male labor force) SL.TLF.SECO.MA.ZS 14.8000001907 18.8999996185 20.2999992371 8.1000003815 22.2000007629 21.5 21.6000003815 22.6000003815 22.7000007629 22.8999996185 24.1000003815 22.7000007629 24.2999992371

Labor force with secondary education (% of total) SL.TLF.SECO.ZS 13.3999996185 16.2999992371 18.3999996185 7.8000001907 19.3999996185 19 19.2000007629 20 20.2000007629 20.7000007629 21.8999996185 20.6000003815 22.2999992371

Labor force with tertiary education, female (% of female labor force) SL.TLF.TERT.FE.ZS 12.3999996185 2.2000000477 4 15.1000003815 4.6999998093 5.0999999046 5.1999998093 4.6999998093 5.6999998093 6.4000000954 7.4000000954 7.9000000954 8.6000003815

Labor force with tertiary education, male (% of male labor force) SL.TLF.TERT.MA.ZS 18.2000007629 5 4.3000001907 8.8000001907 4.8000001907 5 4.8000001907 4.5999999046 5.1999998093 5.3000001907 5.5999999046 5.9000000954 6.1999998093

Labor force with tertiary education (% of total) SL.TLF.TERT.ZS 15.1999998093 3 4.1999998093 11.6999998093 4.5999999046 5 4.9000000954 4.5 5.3000001907 5.5999999046 6.1999998093 6.5 7.0999999046

Labor force, female (% of total labor force) SL.TLF.TOTL.FE.ZS 38.5677420083 38.0449257151 37.5959848518 37.9779318598 38.5253030938 38.2723461148 38.0821215925 37.5760570459 38.2892283212 37.9414649603 37.6851989061 37.4281901274 37.1703445578 37.2728137335 37.3207575099 37.3698091365 37.6056930908 37.9738236886 38.2683671449 38.2418684235 38.2339603615

Labor force, total SL.TLF.TOTL.IN 76841491.70064 78446143.039109 80035566.1902135 83003583.5843544 85651502.1007648 88618908.76 91521237.6816671 91570209.0921565 92656874.7905814 97871709.5014144 99627159.9314745 101317022.384121 102945551.789986 104987417.513324 107158686.076268 109313025.525 111122414.808312 112737674.291312 114325144.035913 116407259.694375 117961804.410555

Unemployment, youth female (% of female labor force ages 15-24) SL.UEM.1524.FE.ZS 9.4 6.4 7.7 8.8 8.9 9.1 17 20.5 20.1 26.5 31.5 33.5 37.7 34.3 27.3 25.5 23

Unemployment, youth male (% of male labor force ages 15-24) SL.UEM.1524.MA.ZS 8.7 7.2 8.8 9.1 9 8.6 14.3 17.9 19.7 22.3 25.5 26.9 28.9 27.7 23.8 21.8 21.6

Unemployment, youth total (% of total labor force ages 15-24) SL.UEM.1524.ZS 9 6.9 8.3 9 8.9 8.8 15.4 19 19.9 24.1 27.9 27.9 29.6 32.4 30.4 25.1 23.3 22.2

Long-term unemployment, female (% of female unemployment) SL.UEM.LTRM.FE.ZS

Long-term unemployment, male (% of male unemployment) SL.UEM.LTRM.MA.ZS

Long-term unemployment (% of total unemployment) SL.UEM.LTRM.ZS

Unemployment with primary education, female (% of female unemployment) SL.UEM.PRIM.FE.ZS 34.5 36.2999992371 37.4000015259 42.4000015259 45.9000015259 49.4000015259 49.9000015259 48.2000007629 48.5 47.9000015259 43.2999992371 43.7999992371

Unemployment with primary education, male (% of male unemployment) SL.UEM.PRIM.MA.ZS 36.7000007629 38.2999992371 39 46 46 49.0999984741 49.7999992371 48.7000007629 50.2000007629 49.2999992371 45.2999992371 43

Unemployment with primary education (% of total unemployment) SL.UEM.PRIM.ZS 29.8999996185 23.6000003815 23.2000007629 26.6000003815 37.4000015259 40.4000015259 36.7000007629 33.2999992371 29.8999996185 25.7000007629 26.3999996185 26.5 35.5999984741 37.5999984741 35.7000007629 37.4000015259 38.2999992371 44.5 46 49.2999992371 49.9000015259 48.4000015259 49.4000015259 48.7000007629 44.4000015259 43.4000015259

Unemployment with secondary education, female (% of female unemployment) SL.UEM.SECO.FE.ZS 50.0999984741 48.7999992371 46.7999992371 43.7999992371 33.2999992371 31.8999996185 31.1000003815 33.4000015259 35.2000007629 35.5 38.5999984741 37.4000015259

Unemployment with secondary education, male (% of male unemployment) SL.UEM.SECO.MA.ZS 50.2999992371 49.2000007629 48.5999984741 43.7999992371 40 38.9000015259 38.5999984741 38.4000015259 38.2000007629 40.2999992371 42.2999992371 43.0999984741

Unemployment with secondary education (% of total unemployment) SL.UEM.SECO.ZS 64.4000015259 68.4000015259 68.9000015259 67.5999984741 55.5999984741 54.2999992371 54.9000015259 53.7000007629 54.9000015259 64.3000030518 62.9000015259 61.5 57.0999984741 48.2000007629 50.2000007629 49 47.9000015259 43.7999992371 36.5999984741 35.5 34.9000015259 36 36.7999992371 38 40.7000007629 40.5999984741

Unemployment with tertiary education, female (% of female unemployment) SL.UEM.TERT.FE.ZS 10.6999998093 10 11.3000001907 9.6999998093 7.3000001907 6.4000000954 4.9000000954 6.6999998093 7 7.5 12.5 12.5

Unemployment with tertiary education, male (% of male unemployment) SL.UEM.TERT.MA.ZS 7.5 7.3000001907 7.6999998093 6.5999999046 6.1999998093 5.0999999046 4.1999998093 4.8000001907 5 5 7.3000001907 8.3999996185

Unemployment with tertiary education (% of total unemployment) SL.UEM.TERT.ZS 5.6999998093 7.9000000954 7.8000001907 5.9000000954 7 5.3000001907 8.3000001907 13.1000003815 15.1999998093 10 10.8000001907 12.1000003815 7.3000001907 9.3000001907 9 8.5 9.1999998093 7.9000000954 6.6999998093 5.6999998093 4.5 5.6999998093 5.9000000954 6.1999998093 9.6000003815 10.1999998093

Unemployment, female (% of female labor force) SL.UEM.TOTL.FE.ZS 3.5 2.0999999046 2.7000000477 2.7999999523 2.7000000477 3 5.5 6.0999999046 6.8000001907 6.6999998093 10.6000003815 13 12.8999996185 14.1999998093 13.3999996185 10.8000001907 9.6999998093 8.5 8.7

Unemployment, male (% of male labor force) SL.UEM.TOTL.MA.ZS 2.7000000477 2.2000000477 2.7000000477 2.9000000954 2.7999999523 2.7000000477 3.7999999523 5 6 5.6999998093 6.5999999046 7.5999999046 8.1000003815 9.5 8.5 8.1000003815 7.5999999046 7.5 6.1

Unemployment, total (% of total labor force) SL.UEM.TOTL.ZS 3 2.2000000477 2.7000000477 2.7999999523 2.7999999523 2.7999999523 4.4000000954 4.6999998093 5.5 6.3000001907 6.0999999046 8.1000003815 9.1000003815 9.5 9.8999996185 11.1999998093 10.3000001907 9.1000003815 8.3999996185 7.9000000954 7.1

Emigration rate of tertiary educated (% of total tertiary educated population) SM.EMI.TERT.ZS 5.559114912 2.9191681736

Net migration SM.POP.NETM -361 -103541 -85976 -11177 -63732 -78178 -263782 -719986 -775921 -1184298 -1293089

Refugee population by country or territory of asylum SM.POP.REFG 3278 3156 3530 2402 97 19 61 34 47 162506 122618 73551 28596 233 169 89 301 315 369 798 811

Refugee population by country or territory of origin SM.POP.REFG.OR 7169 6164 6829 7924 8726 9836 11365 8799 9053 2214 9149 8970 9911 16240 27919 34384 34728 20558 19345 18213 16892

International migrant stock, total SM.POP.TOTL 1859466 1475121 1170220 928340 756851 593098 465612 219140 292307 135623 122908

International migrant stock (% of population) SM.POP.TOTL.ZS 2.0223322639 1.4163877076 0.9886809707 0.6922438312 0.5018238822 0.3527841961 0.2525751327 0.1098995123 0.1369790468 0.0596661265 0.0512392212

Prevalence of undernourishment (% of population) SN.ITK.DEFC.ZS 19.9 17.8 15.1 11.9 8.6

Depth of hunger (kilocalories per person per day) SN.ITK.DPTH 220 210 220 220

Consumption of iodized salt (% of households) SN.ITK.SALT.ZS 73.24 62.3 62.3

Vitamin A supplementation coverage rate (% of children ages 6-59 months) SN.ITK.VITA.ZS 64 61 82 62 73 76 87 86 84 80.0662379009

Adolescent fertility rate (births per 1,000 women ages 15-19) SP.ADO.TFRT 47.848 48.089 48.33 48.571 48.812 49.053 48.266 47.479 46.692 45.905 45.118 44.563 44.008 43.453 42.898

Completeness of infant death reporting (% of reported infant deaths to estimated infant deaths) SP.DTH.INFR.ZS

Completeness of total death reporting (% of reported total deaths to estimated total deaths) SP.DTH.REPT.ZS

Mortality rate, adult, female (per 1,000 female adults) SP.DYN.AMRT.FE 217.337 214.2144 211.0918 207.9692 204.8466 201.724 198.8524 195.9808 193.1092 190.2376 187.366 181.3644 175.3628 169.3612

Mortality rate, adult, male (per 1,000 male adults) SP.DYN.AMRT.MA 256.831 253.1524 249.4738 245.7952 242.1166 238.438 235.0684 231.6988 228.3292 224.9596 221.59 215.9724 210.3548 204.7372

Birth rate, crude (per 1,000 people) SP.DYN.CBRT.IN 44.582 44.314 43.985 43.615 43.219 42.798 42.346 41.85 41.303 40.711 40.08 39.419 38.738 38.049 37.36 36.681 36.018 35.369 34.729 34.091 33.441 32.76 32.035 31.267 30.46 29.632 28.806 28.005 27.249 26.546 25.894 25.28 24.689 24.112 23.553 23.029 22.564 22.174 21.861 21.616 21.416 21.229 21.026 20.782 20.488 20.143 19.76 19.361 18.967 18.585 18.218 17.866

Death rate, crude (per 1,000 people) SP.DYN.CDRT.IN 20.121 19.496 18.885 18.292 17.722 17.172 16.638 16.114 15.597 15.086 14.584 14.094 13.621 13.17 12.741 12.336 11.956 11.598 11.261 10.942 10.64 10.353 10.08 9.82 9.572 9.338 9.117 8.912 8.722 8.548 8.388 8.243 8.11 7.988 7.877 7.776 7.687 7.608 7.541 7.483 7.435 7.399 7.372 7.352 7.334 7.313 7.281 7.234 7.171 7.095 7.01 6.922

Contraceptive prevalence (% of women ages 15-49) SP.DYN.CONU.ZS 8.6 26.3 31.2 38.5 47.7 49.7 53.1 54.7 54.2 54.2 57.4 55.4 55.4 54.8 52.5 60.3 56.7 57.9 61.4 56.6 60.63 55.9

Mortality rate, infant (per 1,000 live births) SP.DYN.IMRT.IN 128.1 125 121.8 118.9 116.6 114.4 112 108.9 105.7 102.5 99.5 96.3 93.4 90.8 88.3 86 83.5 81.3 79.3 77.5 75.7 73.5 71.3 69.1 66.9 64.7 62.5 60.4 58.1 56.1 54.1 52.1 50.1 48.1 46.5 44.9 43.4 41.5 40 38.7 37.6 36.4 35.1 33.8 32.5 31.4 30.2 29 28.1 26.8 25.8 24.8

Life expectancy at birth, female (years) SP.DYN.LE00.FE.IN 46.301 47.072 47.829 48.574 49.307 50.029 50.739 51.439 52.128 52.805 53.469 54.12 54.756 55.376 55.98 56.569 57.141 57.699 58.242 58.771 59.287 59.79 60.281 60.759 61.226 61.681 62.124 62.557 62.978 63.389 63.79 64.181 64.562 64.933 65.296 65.649 65.995 66.331 66.66 66.981 67.29 67.584 67.863 68.132 68.398 68.675 68.98 69.323 69.707 70.131 70.584 71.052

Life expectancy at birth, total (years) SP.DYN.LE00.IN 45.0732682927 45.8273658537 46.5567073171 47.2617560976 47.9435365854 48.6076585366 49.2582439024 49.9034390244 50.5468536585 51.1890243902 51.8299756098 52.4671463415 53.0944390244 53.708804878 54.3071707317 54.8905365854 55.4574146341 56.0097804878 56.5497073171 57.0761463415 57.5911219512 58.0936097561 58.584097561 59.0631219512 59.5306341463 59.9866585366 60.431195122 60.8652195122 61.2882682927 61.700804878 62.1038536585 62.496902439 62.8804634146 63.2545365854 63.6206097561 63.9777073171 64.327804878 64.6694390244 65.0035609756 65.3307073171 65.6463658537 65.9490731707 66.237804878 66.5165365854 66.7912439024 67.0733658537 67.3768292683 67.7095853659 68.0751463415 68.4709756098 68.8896585366 69.3192439024

Life expectancy at birth, male (years) SP.DYN.LE00.MA.IN 43.904 44.642 45.345 46.012 46.645 47.254 47.848 48.441 49.041 49.65 50.269 50.893 51.512 52.121 52.714 53.292 53.854 54.401 54.938 55.462 55.976 56.478 56.968 57.448 57.916 58.373 58.819 59.254 59.679 60.093 60.498 60.893 61.279 61.656 62.025 62.386 62.74 63.087 63.426 63.759 64.081 64.392 64.69 64.978 65.261 65.548 65.85 66.173 66.521 66.89 67.276 67.669

Fertility rate, total (births per woman) SP.DYN.TFRT.IN 5.666 5.656 5.645 5.634 5.623 5.612 5.599 5.582 5.556 5.521 5.474 5.413 5.338 5.251 5.152 5.043 4.927 4.806 4.682 4.557 4.43 4.301 4.167 4.028 3.887 3.745 3.606 3.472 3.346 3.229 3.122 3.024 2.934 2.849 2.771 2.699 2.635 2.579 2.53 2.489 2.453 2.419 2.386 2.353 2.318 2.282 2.246 2.21 2.176 2.145 2.117 2.09

Survival to age 65, female (% of cohort) SP.DYN.TO65.FE.ZS 71.9082819 72.7638957 73.6195095 74.4751233 75.3307371 76.1440738 76.9151334 77.686193 78.4572526 79.2283122 79.9105081 80.5038403 81.0971725

Survival to age 65, male (% of cohort) SP.DYN.TO65.MA.ZS 64.2250106 65.0942778 65.963545 66.8328122 67.7020794 68.4857305 69.1837655 69.8818005 70.5798355 71.2778705 71.9007396 72.4484428 72.996146

Wanted fertility rate (births per woman) SP.DYN.WFRT 2.5 2.5 2.4 2.4 2.2 2.2

Female headed households (% of households with a female head) SP.HOU.FEMA.ZS 13 12.8 12.2 11.8 12.9

Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant) SP.MTR.1519.ZS 10.9 12.2 11.2 12.2 10.4 8.5

Population ages 0-14 (% of total) SP.POP.0014.TO.ZS 39.9322554702 40.3781693692 40.8598118985 41.3459948137 41.8004125064 42.1970736354 42.5290749521 42.7975850073 42.997263167 43.124869945 43.1800808268 43.161296015 43.0729799178 42.928380583 42.7439853121 42.5315313806 42.2946144903 42.0322097852 41.745152047 41.4331687744 41.0963605076 40.7378198944 40.3592656007 39.9579821314 39.5299195686 39.0730728456 38.5871194647 38.0756682991 37.5452407574 37.0041645852 36.4583653779 35.9131716624 35.3681892656 34.8172920442 34.251716751 33.6676012371 33.0621816674 32.4439173144 31.8333038386 31.2567754723 30.7319809234 30.2650576461 29.8485927489 29.4695939986 29.1091937532 28.7536467539 28.3982080332 28.0455480703 27.6982031044 27.3611328798 27.0368006275 26.7267519862


Population ages 65 and above (% of total) SP.POP.65UP.TO.ZS 3.5733301408 3.5189577119 3.4641161412 3.4122848918 3.3676024348 3.3327979987 3.3081815052 3.2928804682 3.2867009045 3.2891219318 3.2994082378 3.317101483 3.3412017863 3.3697373742 3.4004210542 3.4314501508 3.4628404033 3.4942405273 3.5233900388 3.5477213236 3.5659073273 3.5778024223 3.5850697254 3.5905140655 3.5977055487 3.6093513859 3.6258511329 3.6473386409 3.6756949528 3.7129634598 3.7603692479 3.8183656153 3.8861955885 3.9622960564 4.0445232483 4.1312196566 4.2216097892 4.3155424446 4.4126848951 4.5128070321 4.6154118094 4.7205013525 4.8271097188 4.932765905 5.0345152476 5.1305636184 5.2215596388 5.3088936822 5.3927741771 5.473538543 5.5522966503 5.6295034107

Age dependency ratio (% of working-age population) SP.POP.DPND 77.0086495831 78.2439914342 79.6103720668 81.0226029652 82.3753050207 83.5868631121 84.6287567044 85.4959440515 86.1641468352 86.6158788503 86.8442551319 86.8404444659 86.6165399357 86.2132130123 85.6817337865 85.0583226724 84.3571311114 83.5753325674 82.7102799944 81.7550305304 80.7085257879 79.5835818958 78.3941026867 77.1431994955 75.8322915236 74.4665552567 73.0492136975 71.5943029129 70.1286014132 68.6827859417 67.276485993 65.9242586968 64.6209356179 63.3442129797 62.0646780665 60.768656538 59.4484142499 58.1264164079 56.8528756289 55.6894753283 54.6728031969 53.8119815532 53.0823962563 52.4445084503 51.8457819029 51.2498006349 50.6472582166 50.0475089858 49.4566740583 48.8863407927 48.3439561877 47.8333297289

Age dependency ratio, old (% of working-age population) SP.POP.DPND.OL 6.3251034273 6.2723306825 6.22191189 6.1770069316 6.1416752123 6.1185792997 6.1078543825 6.1081597109 6.1186586979 6.1380237994 6.1647547457 6.1976871542 6.2352351658 6.2748962346 6.3139607695 6.3501840925 6.3839932225 6.4145636688 6.4375958052 6.4481619748 6.4438985621 6.4251457431 6.3955529673 6.360351494 6.3259281086 6.2971110301 6.2745068753 6.2586253157 6.2534084154 6.2631302049 6.2902135383 6.3355948414 6.3974915378 6.4721813093 6.5547435817 6.6417063405 6.7312898647 6.8240126163 6.9214231504 7.0259655909 7.1387868247 7.2606966695 7.3894552275 7.5197307369 7.6446990428 7.7599672443 7.866136432 7.9658627248 8.0598609246 8.1493512486 8.2364965103 8.3222823393

Age dependency ratio, young (% of working-age population) SP.POP.DPND.YG 70.6835461558 71.9716607517 73.3884601768 74.8455960335 76.2336298084 77.4682838124 78.5209023219 79.3877843406 80.0454881373 80.4778550509 80.6795003862 80.6427573117 80.3813047699 79.9383167777 79.367773017 78.7081385799 77.9731378889 77.1607688986 76.2726841892 75.3068685555 74.2646272258 73.1584361527 71.9985497194 70.7828480014 69.506363415 68.1694442267 66.7747068222 65.3356775972 63.8751929978 62.4196557367 60.9862724547 59.5886638553 58.2234440801 56.8720316704 55.5099344848 54.1269501975 52.7171243852 51.3024037916 49.9314524785 48.6635097374 47.5340163722 46.5512848837 45.6929410288 44.9247777135 44.2010828602 43.4898333906 42.7811217847 42.0816462609 41.3968131337 40.7369895441 40.1074596774 39.5110473896

Population growth (annual %) SP.POP.GROW 2.4211843412 2.4485617402 2.4701162077 2.4909090859 2.5136987305 2.5359481827 2.5530203591 2.5623079914 2.5652847669 2.5616324234 2.5522629199 2.5392737964 2.5229648474 2.5020526666 2.4765902933 2.447563584 2.4135932549 2.3779129486 2.3453795669 2.3176114388 2.2912412207 2.2652140439 2.2325497415 2.1864187059 2.123845659 2.0505659137 1.9748694806 1.9033826854 1.8365924997 1.7767936433 1.7224407445 1.6707650009 1.6195753824 1.5692551969 1.5193579109 1.4710927028 1.4224801167 1.3780172428 1.3445591171 1.3246644089 1.3135067937 1.3073254744 1.2972021535 1.2760842172 1.2397167373 1.1934578842 1.1440403637 1.1000575436 1.0651959063 1.0429900379 1.0293478597 1.0181417007

Researchers in R&D (per million people) SP.POP.SCIE.RD.P6 210.8011591683 197.6008723152 89.6112092903

Technicians in R&D (per million people) SP.POP.TECH.RD.P6

Population, total SP.POP.TOTL 91946612 94225771 96582241 99018230 101538797 104146696 106839814 109612753 112461009 115379062 118361740 121405753 124507744 127662293 130863441 134105926 137382075 140688052 144026720 147403681 150820044 154275429 157758440 161245684 164706919 168119209 171472345 174767379 178006800 181197879 184345939 187451800 190512441 193525648 196488446 199400339 202257039 205063468 207839287 210610776 213395411 216203499 219026365 221839235 224606531 227303175 229918547 232461746 234951154 237414495 239870937 242325638

Population, female (% of total) SP.POP.TOTL.FE.ZS 50.3044157842 50.2871072319 50.2688108055 50.2506200197 50.2338588865 50.2193262089 50.2073126952 50.1973397165 50.1884782129 50.1795104746 50.1696570192 50.1587568932 50.1471559058 50.1352031958 50.1233946615 50.1120569422 50.1012799523 50.0909316721 50.0808443756 50.0707845257 50.0606391548 50.0504318808 50.0403382544 50.0305784927 50.0214186508 50.0130588885 50.0055484165 49.9988965332 49.9932033496 49.98856278 49.9850484908 49.9826851487 49.9814728633 49.9814094406 49.9824791227 49.9846657733 49.9879860795 49.9924179572 49.9978509838 50.0041436626 50.0111977572 50.0188232386 50.0270264266 50.0361234572 50.0465467322 50.0585093015 50.0721651223 50.0871607921 50.1025998379 50.1173110756 50.1304991359 50.1418985231

Completeness of birth registration, rural (%) SP.REG.BRTH.RU.ZS 43 41.4

Completeness of birth registration, urban (%) SP.REG.BRTH.UR.ZS 69 70.5

Completeness of birth registration (%) SP.REG.BRTH.ZS 55 53

Rural population SP.RUR.TOTL 78535279.17368 80255292.836914 82030001.584048 83860717.38806 85751138.687252 87702974.16856 89696938.484444 91743901.231446 93839490.207762 95978534.240948 98156207.3646 100135222.262894 102134449.449664 104148685.901502 106172388.679002 108200684.27458 110078211.8862 111942950.591464 113796663.68576 115643199.469654 117482781.47424 118944813.00471 120372844.8888 121748553.7042 123049245.04652 124258588.56399 125195388.5314 126030000.01827 126765762.552 127409288.61885 127965577.01624 128258270.596 128458728.71748 128566828.99232 128582039.0624 128505542.47194 127738264.578996 126866205.620624 125903220.564564 124866074.431776 123765070.47178 123692183.81289 123583436.1876 123424695.17695 123196682.2535 122886915.50025 122467493.570832 121968493.814772 121401140.881032 120780825.69933 120117770.41212 119500949.774596

Rural population growth (annual %) SP.RUR.TOTL.ZG 2.1567066121 2.1664774133 2.1872339136 2.2072242972 2.2292068812 2.2506446676 2.2480826089 2.2564375259 2.2584758628 2.2538793047 2.2435597568 1.9961332811 1.9768581983 1.9529473092 1.9244531134 1.8923609159 1.720343973 1.6798241516 1.6423832111 1.6096380351 1.5782197936 1.2367847079 1.1934337365 1.136391602 1.0626758813 0.978014436 0.7510839332 0.6644348823 0.582102013 0.5063655453 0.4356648614 0.2284671859 0.1561705401 0.0841163674 0.011829778 -0.0595101422 -0.5988673014 -0.6850330381 -0.7619511027 -0.8271762669 -0.8856582768 -0.058908486 -0.0879566148 -0.1285310177 -0.1849093463 -0.2517574675 -0.3418910135 -0.4082872204 -0.4662487678 -0.5122731036 -0.5504863642 -0.5148362361

Rural population (% of total population) SP.RUR.TOTL.ZS 85.414 85.1734 84.9328 84.6922 84.4516 84.211 83.9546 83.6982 83.4418 83.1854 82.929 82.4798 82.0306 81.5814 81.1322 80.683 80.1256 79.5682 79.0108 78.4534 77.896 77.099 76.302 75.505 74.708 73.911 73.012 72.113 71.214 70.315 69.416 68.422 67.428 66.434 65.44 64.446 63.1564 61.8668 60.5772 59.2876 57.998 57.211 56.424 55.637 54.85 54.063 53.2656 52.4682 51.6708 50.8734 50.076 49.3142

Urban population growth (annual %) SP.URB.GROW 3.9841372028 4.0846317701 4.0798492989 4.0751397499 4.0732224331 4.0715237426 4.1638912687 4.1476406942 4.1258763902 4.0982433462 4.0656189973 5.1366121533 5.0545458762 4.9711239006 4.8861644746 4.8004407656 5.258286673 5.1439168756 5.0369304713 4.938612615 4.8452968347 5.8074130547 5.6535576081 5.4942545755 5.3257581695 5.1531288493 5.3627248018 5.1802134507 5.0094452419 4.8520646315 4.7059536117 4.8691329214 4.718810183 4.575317825 4.4376873158 4.3066650593 4.9854060149 4.8183539714 4.6704626539 4.5435029304 4.4319589783 3.1637078756 3.1197501407 3.066009078 2.9981658546 2.9215191539 2.8650021285 2.7919025955 2.728893119 2.6794607158 2.639468802 2.5325360423

Urban population SP.URB.TOTL 13411332.82632 13970478.163086 14552239.415952 15157512.61194 15787658.312748 16443721.83144 17142875.515556 17868851.768554 18621518.792238 19400527.759052 20205532.6354 21270530.737106 22373294.550336 23513607.098498 24691052.320998 25905241.72542 27303863.1138 28745101.408536 30230056.31424 31760481.530346 33337262.52576 35330615.99529 37385595.1112 39497130.2958 41657673.95348 43860620.43601 46276956.4686 48737378.98173 51241037.448 53788590.38115 56380361.98376 59193529.404 62053712.28252 64958819.00768 67906406.9376 70894796.52806 74518774.421004 78197262.379376 81936066.435436 85744701.568224 89630340.52822 92511315.18711 95442928.8124 98414539.82305 101409848.7465 104416259.49975 107451053.429168 110493252.185228 113550013.118968 116633669.30067 119753166.58788 122824688.225404

Urban population (% of total) SP.URB.TOTL.IN.ZS 14.586 14.8266 15.0672 15.3078 15.5484 15.789 16.0454 16.3018 16.5582 16.8146 17.071 17.5202 17.9694 18.4186 18.8678 19.317 19.8744 20.4318 20.9892 21.5466 22.104 22.901 23.698 24.495 25.292 26.089 26.988 27.887 28.786 29.685 30.584 31.578 32.572 33.566 34.56 35.554 36.8436 38.1332 39.4228 40.7124 42.002 42.789 43.576 44.363 45.15 45.937 46.7344 47.5318 48.3292 49.1266 49.924 50.6858

Unmet need for contraception (% of married women ages 15-49) SP.UWT.TFRT 14.1 10.6 9.2 8.6 9.1 15

International tourism, number of arrivals ST.INT.ARVL 4324000 5034000 5185000 4606000 4728000 5064000 5153000 5033000 4467000 5321000 5002000 4871000 5506000 6234000 6324000 7003000

International tourism, number of departures ST.INT.DPRT 2205000 2505000 3231000 3478000 3941000 4106000 4967000 5158000 5486000 5053000 6235000

International tourism, receipts (current US$) ST.INT.RCPT.CD 5229000000 6184000000 6648000000 4255000000 4352000000 4975000000 5277000000 5797000000 4461000000 5226000000 5094000000 4890000000 5831000000 8150000000 6054000000 7618000000

International tourism, receipts (% of total exports) ST.INT.RCPT.XP.ZS 9.880392268 10.8898163312 10.5125001977 7.7575244989 7.7936305324 7.0445934311 8.3941728935 8.8062804967 6.4277566529 6.310636963 5.0979854903 4.2504074635 4.468154381 5.2630688372 4.5586938685 4.357119921

International tourism, receipts for passenger transport items (current US$) ST.INT.TRNR.CD 512000000 424000000 428000000 572000000 442000000 485000000 773000000 456000000 660000000

International tourism, expenditures for passenger transport items (current US$) ST.INT.TRNX.CD 1753000000 1345000000 1062000000 1156000000 1428000000 1674000000 3247000000 1592000000 2037000000

International tourism, receipts for travel items (current US$) ST.INT.TVLR.CD 5229000000 6184000000 6648000000 4255000000 4352000000 4975000000 5277000000 5285000000 4037000000 4798000000 4522000000 4448000000 5346000000 7377000000 5598000000 6958000000

International tourism, expenditures for travel items (current US$) ST.INT.TVLX.CD 2172000000 2399000000 2411000000 2102000000 2353000000 3197000000 3406000000 3289000000 3082000000 3507000000 3584000000 4030000000 4904000000 5554000000 5316000000 6395000000

International tourism, expenditures (current US$) ST.INT.XPND.CD 2172000000 2399000000 2411000000 2102000000 2353000000 3197000000 3406000000 5042000000 4427000000 4569000000 4740000000 5458000000 6578000000 8801000000 6908000000 8432000000

International tourism, expenditures (% of total imports) ST.INT.XPND.MP.ZS 3.9881750243 4.0401488742 3.8373388509 4.7739789668 5.4753383075 5.708677886 6.7380668834 9.5679493552 7.7739509027 6.3927890546 5.1797282356 5.7294743668 6.002477094 6.0723515457 6.1894006686 5.4918573696

Merchandise trade (% of GDP) TG.VAL.TOTL.GD.ZS 21.9735006658 19.3749775821 18.578337385 21.8448461588 23.7259824808 28.7692862798 34.593426879 41.3839415301 36.9286342965 36.1570790212 35.2988870119 33.7643127514 41.3501750492 41.9710990781 38.4238235152 41.3365700098 43.9315340597 40.8435152906 33.0345452942 33.4658754989 39.5445162291 36.8452254724 38.0502929791 41.5218509801 42.9210099759 44.0257634689 41.233022524 40.724249615 42.5697000071 40.7895210692 49.8737294231 89.7370299392 60.402273602 66.0509825423 59.1441603576 49.8342509945 45.2795871096 48.9194536172 56.9216028967 50.5188088083 48.8443821234 52.3561608928 39.5551996362 41.4388219795 44.6164871862

Import volume index (2000 = 100) TM.QTY.MRCH.XD.WD 46.046719796 59.884344608 61.759612643 53.102896904 41.365100742 45.041845884 46.720059222 44.918828747 52.488133222 66.485612595 74.938188813 77.52037112 82.061502675 90.027275875 106.33887419 114.36510305 118.44021511 82.390366442 73.080283881 100 93.575805274 92.434217393 94.722700408 111.9081995 134.96283084 132.20612294 140.95753147 163.83390889 134.96431079 180.14165029 202.51795587

Binding coverage, manufactured products (%) TM.TAX.MANF.BC.ZS 96.09 96.05 96.05 96.05 96.05 96.14 96.14 96.14 96.14 96.14 96.12 96.12 96.12

Bound rate, simple mean, manufactured products (%) TM.TAX.MANF.BR.ZS 35.34 35.23 35.23 35.23 35.23 35.21 35.21 35.21 35.21 35.21 35.49 35.49 35.49

Share of tariff lines with international peaks, manufactured products (%) TM.TAX.MANF.IP.ZS 49.9168 48.37955 49.13272 40.33342 27.42255 26.05743 11.8226 3.291819 3.524827 3.092366 7.96119 8.277211 8.277211 13.67341 12.24266 7.820251

Tariff rate, applied, simple mean, manufactured products (%) TM.TAX.MANF.SM.AR.ZS 18.91 16.88 16.89 14.32 10.6 9.72 8.09 6.07 6.26 5.73 5.9 5.9 5.9 5.78 5.19 5.03

2 TM.TAX.MANF.SM.FN.ZS 23.58 19.36 18.62 16.24 12.37 11.18 8.97 7 7.03 7.03 7.13 7.13 7.13 7.04 6.91 7.33

Share of tariff lines with specific rates, manufactured products (%) TM.TAX.MANF.SR.ZS 0.3132239 0.322115 0 0 0.0330519 0.06036 0.0243529 0.0238646 0.038758 0.0276269 0.0844494 0.1004138 0.1298454 0.0863167 0.1619814 0.0768353

Tariff rate, applied, weighted mean, manufactured products (%) TM.TAX.MANF.WM.AR.ZS 15.55 15.82 14.51 13.11 9.36 8.11 6.71 5.25 5.91 4.28 4.97 4.74 4.63 4.42 3.54 2.93

Tariff rate, most favored nation, weighted mean, manufactured products (%) TM.TAX.MANF.WM.FN.ZS 15.55 15.82 14.51 13.15 9.36 8.11 6.71 5.47 6.25 5.68 6.52 6.53 6.53 6.46 6.44 6.84

Binding coverage, all products (%) TM.TAX.MRCH.BC.ZS 96.61 96.58 96.58 96.58 96.58 96.59 96.59 96.59 96.59 96.59 96.58 96.58 96.58

Bound rate, simple mean, all products (%) TM.TAX.MRCH.BR.ZS 37.18 37.13 37.13 37.13 37.13 37.14 37.14 37.14 37.14 37.14 37.45 37.45 37.45

Share of tariff lines with international peaks, all products (%) TM.TAX.MRCH.IP.ZS 49.22224 47.78608 48.31052 39.03874 26.98699 25.90663 10.45298 3.185783 3.64239 3.176939 7.626908 7.872895 7.872895 12.72942 11.47197 7.034948

Tariff rate, applied, simple mean, all products (%) TM.TAX.MRCH.SM.AR.ZS 18.74 16.83 16.74 14.01 10.76 9.86 7.78 6.07 6.45 5.95 6.07 6 5.99 5.88 5.24 4.79

Tariff rate, most favored nation, simple mean, all products (%) TM.TAX.MRCH.SM.FN.ZS 22.18 18.7 17.92 15.34 12.35 11.19 8.43 6.89 6.9 6.9 6.95 6.95 6.95 6.9 6.81 6.72

Share of tariff lines with specific rates, all products (%) TM.TAX.MRCH.SR.ZS 0.2859293 0.2690458 0 0 0.0273424 0.0527221 0.0197401 0.0761109 0.0602634 0.1741611 0.2083417 0.3104931 0.337756 0.2050021 0.2821708 0.5380291

Tariff rate, applied, weighted mean, all products (%) TM.TAX.MRCH.WM.AR.ZS 12.96 13.32 12.51 10.84 7.73 6.05 5.16 4.13 5.5 4 4.67 4.39 4.31 3.85 3.15 2.49

Tariff rate, most favored nation, weighted mean, all products (%) TM.TAX.MRCH.WM.FN.ZS 12.96 13.32 12.51 10.89 7.73 6.05 5.16 4.31 5.79 5.22 6.09 6.07 6.07 5.44 5.33 5.45

Binding coverage, primary products (%) TM.TAX.TCOM.BC.ZS 99.21 99.22 99.22 99.22 99.22 99.24 99.24 99.24 99.24 99.24 99.19 99.19 99.19

Bound rate, simple mean, primary products (%) TM.TAX.TCOM.BR.ZS 43.23 43.46 43.46 43.46 43.46 43.47 43.47 43.47 43.47 43.47 43.69 43.69 43.69

Share of tariff lines with international peaks, primary products (%) TM.TAX.TCOM.IP.ZS 45.96503 45.11861 44.99149 33.6293 25.27156 25.8067 4.516899 2.608752 4.16964 3.48636 5.35873 5.079172 5.079172 7.332511 7.011212 2.414649

Tariff rate, applied, simple mean, primary products (%) TM.TAX.TCOM.SM.AR.ZS 17.66 16.48 15.92 12.28 11.73 10.75 6.02 6.07 7.67 7.34 7.24 6.64 6.64 6.62 5.67 3.21

Tariff rate, most favored nation, simple mean, primary products (%) TM.TAX.TCOM.SM.FN.ZS 17.57 16.56 15.61 12.41 12.32 11.3 6.62 6.56 6.52 6.47 6.47 6.47 6.47 6.56 6.6 4.74

Share of tariff lines with specific rates, primary products (%) TM.TAX.TCOM.SR.ZS 0.1464129 0 0 0 0 0.0154024 0 0.3065284 0.1631155 0.8324404 1.066667 1.790499 1.80268 0.8960131 0.9906312 3.279898

Tariff rate, applied, weighted mean, primary products (%) TM.TAX.TCOM.WM.AR.ZS 5.81 5.26 5.95 4.84 3.72 3.25 2.76 2.37 4.14 3.05 3.6 3.33 3.33 2.56 2.28 1.57

Tariff rate, most favored nation, weighted mean, primary products (%) TM.TAX.TCOM.WM.FN.ZS 5.81 5.26 5.95 4.92 3.72 3.25 2.76 2.49 4.28 3.66 4.54 4.62 4.62 3.16 2.84 2.49

Agricultural raw materials imports (% of merchandise imports) TM.VAL.AGRI.ZS.UN 1.417593769 1.4627248416 1.8142853785 1.228927004 1.6575950456 1.6665585761 2.1277225966 2.4871271337 2.8128038214 2.4519092577 2.825019259 3.2019763364 3.6609328791 3.5350461284 3.1971969199 2.5693237456 2.6354585839 3.9127350618 4.1075837623 4.1063493293 4.9939217207 5.3768681437 5.4233239408 4.6840712675 4.7409983486 5.6109665172 5.2118565201 5.625641179 6.1822604725 5.4530809394 4.745813394 6.6823001616 7.107676425 7.1788872279 7.4744766261 5.8034911093 5.3118654593 4.5520135583 3.4534714867 3.4120651831 3.5120119884 3.0399452026 2.8010064221 3.0771248791

Food imports (% of merchandise imports) TM.VAL.FOOD.ZS.UN 9.2591239609 24.9861105616 15.5624336931 15.3722145562 9.4221304075 9.9441503684 10.3181200366 14.969100867 12.5032215169 14.5734624761 16.3414187617 17.6379704732 16.0043234843 12.6780338096 11.0492752861 7.1641942432 7.7277878812 6.5035462092 6.909114738 7.1745270321 6.9989217136 7.664208345 7.603111766 5.0511497113 5.4745378947 6.3579132672 6.4646726155 7.7581812472 8.835954924 10.7888197695 8.8165554975 10.5220435888 15.7014358338 10.0047353948 9.923356388 11.1192414187 11.4955348446 9.6876137708 8.0798018461 8.858846005 10.5501512452 7.2579850274 8.9166921574 8.4594130715 9.4324303102

Fuel imports (% of merchandise imports) TM.VAL.FUEL.ZS.UN 2.1608950188 0.8765741502 2.3073181875 1.6546297265 2.6165829862 2.5513406159 1.8282323833 4.807237224 5.3832030722 7.7626326292 11.8832160737 8.7537538277 11.0967226948 16.1871606656 13.2697143461 21.4701987202 25.3273306095 19.501792521 12.5379393256 10.3100578121 9.0911843309 7.2189088784 7.7160794334 8.9138954414 9.0363102496 7.7944090917 7.7058663642 7.6797133442 7.5127133179 8.7142372434 9.7591219815 10.0049820795 15.6998065567 18.501474293 18.2820703366 21.4849579804 24.1091208539 25.8048722658 30.7834231734 31.5112003475 29.7033761501 23.8505819854 19.8051655483 20.3930524268 23.1144745605

ICT goods imports (% total goods imports) TM.VAL.ICTG.ZS.UN 2.0902481142 2.5285460779 2.9468870396 3.5152132454 3.8294327874 3.600828906 3.4992144494 4.9520250804 9.0613604035 8.9015182562 8.621610902

Insurance and financial services (% of commercial service imports) TM.VAL.INSF.ZS.WT 3.9220939819 4.3373493976 4.8391674551 4.0165732391 2.7784431138 3.1227305737 3.1400742115 3.360930857 3.3490833491 3.9725330621 4.267565872 3.7239979706 3.2423137051 3.1896551724 3.4089191232 3.2888949042 3.1392623659 2.8104514487 2.2401034355 2.0997306256 1.8359632114 1.8679220381 1.7447765791 4.5889469501 4.0179572236 3.4438251588 4.3071299508 3.6593302958 7.6132817283 6.2628628596 6.0492595966

Manufactures imports (% of merchandise imports) TM.VAL.MANF.ZS.UN 85.971847275 71.4539985423 78.4413436293 79.4960463655 84.1398968413 83.3559316009 83.284297284 75.3512259541 77.3287516235 72.8340260749 66.7500368998 67.5475536345 66.2201196875 64.9177395003 68.9490726236 66.2326775395 61.921994334 66.9599351069 72.1113523111 74.0599148653 74.6092139529 75.1809329108 74.5274478872 76.8646658707 76.2830179112 75.9917855227 76.3246491793 75.0919868043 72.9140785734 71.1960755601 73.0964922397 69.0979196031 57.843600252 60.9180718336 60.8220359016 58.4089417983 56.0465899591 56.4193152509 54.5513260507 52.6593521339 52.5910588163 61.8905121483 65.3296707804 63.3195913656 59.7417652475

Ores and metals imports (% of merchandise imports) TM.VAL.MMTL.ZS.UN 1.1311719177 1.1573189038 1.6947793572 2.1012212277 1.9720602329 2.2597668463 2.4094192967 2.3670571401 1.9437861924 2.3307929454 2.0766291673 2.4451297839 2.6346168647 2.4374278889 2.996665804 2.1919182081 2.0255571642 2.5373540553 3.910282434 3.9646915424 3.6333473782 3.9475763624 4.4095737844 4.3223843993 4.1646818675 3.8023472212 3.9851030077 3.6759336772 4.367070514 3.6932906654 3.3786346514 3.2695810357 3.4996740125 3.3143626633 3.3931108222 3.0961798213 2.9130162118 3.4475929045 3.1049546495 3.5441321376 3.5712253504 3.9420711692 3.063062122 3.4187414638 3.456815874

Merchandise imports from economies in the Arab World (% of total merchandise imports) TM.VAL.MRCH.AL.ZS 3.4627831715 1.3044612575 2.6249209361 3.6240541617 0.0153022188 0.0303490137 0.0594412522 0.0156862745 0.0141282848 0 0 0 0 0 2.069396361 1.6207489412 0.3701288401 4.7122100024 3.5410002691 5.1552812223 9.0225425152 5.7206375523 7.3202125893 6.1529146995 10.7274338451 9.5106474092 6.7264657616 5.7984199558 5.3584402105 4.3503492531 3.0862197648 3.9951386633 3.8994247443 1.9823440074 3.4215905868 3.5146952613 2.5809077046 2.8630987616 2.9504946693 8.3451975422 8.2158070455 9.0374295568 7.5283972143 8.3742584097 8.2394734493 8.1775478163 9.9732894579 8.846796837 7.2205881228 6.5738528875 5.8518175677

Merchandise imports (current US$) TM.VAL.MRCH.CD.WT 574100000 794000000 647100000 521400000 679900000 694600000 526600000 649200000 715800000 780700000 1001500000 1102800000 1561700000 2729100000 3841900000 4769800000 5673100000 6230300000 6690400000 7202300000 10834000000 13272000000 16859000000 16352000000 13882000000 10262000000 10718000000 12891000000 13249000000 16444000000 21837000000 25869000000 27280000000 28328000000 31983000000 40630000000 42929000000 51304000000 35280000000 33321000000 43595000000 37534000000 38340000000 42196000000 54876590000 75724931000 80649687000 93100595000 127538457000 93785930000 135323490000 176354558000

Merchandise imports from high-income economies (% of total merchandise imports) TM.VAL.MRCH.HI.ZS 79.6925566343 72.9976519697 70.5407969639 61.2704101951 52.0581484315 60.7283763278 74.3015652863 78.6196078431 77.5360271263 80.9462086844 80.8653260207 81.6656024811 80.3391354615 80.6739748274 87.6018429341 85.2476202457 86.8798138781 86.0881432127 87.6326567218 86.9325730735 90.1746745038 88.9701948076 91.1927302062 92.6459795983 93.3279540068 91.7769688948 91.1802551097 89.4824422257 88.1051226926 83.0707826849 85.5693680945 87.5812251479 88.5914909521 86.4855797609 85.1327569682 79.0845789247 81.6798304981 82.0206638839 80.9848597654 76.834062685 77.4176989049 76.544358721 71.4796857086 68.2281565078 67.3948107219 69.6240575965 67.913013015 62.0404911531 65.791855622 63.3480554828 61.7759045586

Merchandise imports from developing economies outside region (% of total merchandise imports) TM.VAL.MRCH.OR.ZS 8.3333333333 4.8004174276 6.9576217584 8.0844285145 5.1568477429 6.4036418816 6.5781652467 4.4078431373 5.1426956767 4.0829552819 2.8437944343 2.8094499681 2.1902498555 3.6577713801 3.995626936 6.132846899 4.5613973245 3.8195392149 5.8892110849 5.7946744907 3.2452732692 5.1953728475 4.1764538401 2.7648670466 3.4228366822 4.1051893954 3.7240787707 4.0006531679 4.8891689525 8.5085735726 8.1652045031 5.4716556502 4.5290471052 6.1964395874 6.0090883167 7.3879066188 7.8259896904 8.137570499 6.7169990354 7.9096273347 7.516135048 9.1578749772 11.2469974155 10.6307426726 12.0415145884 8.5153076685 8.1991944914 10.1460336366 9.3310880452 9.9352061305 9.7097952759

Merchandise imports from developing economies in East Asia & Pacific (% of total merchandise imports) TM.VAL.MRCH.R1.ZS 4.3873382421 2.9920102591 3.7217269436 4.6471729077 5.8559609343 6.365927793 7.4174418725 5.8135876148 6.6188764379 6.3908402539 6.4675710404 8.0130977525 12.8123478945 9.0403595633 8.497524676 10.7977198672 14.6336909537 14.1483013539 13.3881102979 16.493284029 20.1681656354 20.0407613216 21.2888711484 23.1818055808 27.762471229 24.8044807163 26.3978335495 28.3648793076

Merchandise imports from developing economies in Europe & Central Asia (% of total merchandise imports) TM.VAL.MRCH.R2.ZS 0.991482235 1.437128646 0.2700198377 1.1259596254 0.8174874403 0.700144234 0.8441505313 1.0000438409 1.0575290063 1.2825446883 2.0212027745 1.6186901998 1.5837063919 2.5542772183 2.9173298171 2.3673626278 2.2932211063

Merchandise imports from developing economies in Latin America & the Caribbean (% of total merchandise imports) TM.VAL.MRCH.R3.ZS 0.8737864078 0 0 0 0 0 0 0 0 0 0 0 0 0 0.4216883151 0.4969178513 0.2608527063 1.2587300313 1.1359899555 0.7376550044 1.0140902254 1.9744526923 0.9781241844 0.7852442574 0.9682787836 1.8365320979 1.6112188572 1.6990140276 1.6087182148 2.6427360511 2.3230606321 2.25769777 1.759980416 2.1782389805 2.2914231824 2.647172157 2.485056309 2.1126248179 1.7990923546 2.3556749328 1.7115613553 1.3850393353 1.6041279511 1.6774617132 2.1206773298 1.9584533722 2.0160686129 2.013544567 1.9737111046 2.462593439 2.4531055487

Merchandise imports from developing economies in Middle East & North Africa (% of total merchandise imports) TM.VAL.MRCH.R4.ZS 3.4466019417 1.3044612575 2.6249209361 3.6240541617 0.0153022188 0.0303490137 0.0594412522 0.0156862745 0.0141282848 0 0 0 0 0 0.1379597574 0.3270851679 0.1128011703 0.009633138 0.0986517593 0.182683791 0.0987330793 0.6526244395 0.59078938 0.6121725091 1.0381619994 0.8759294585 0.707705505 0.9276538832 1.3359033286 3.7365774755 3.6794625919 1.1140032966 1.1006905535 2.1367969295 1.2226210629 1.0432467917 1.4624853854 1.4668799893 1.0032924119 1.0894550649 0.5811470762 2.1081274984 1.5154410023 1.4284903066 0.7824363692 0.5634273098 1.3111259753 1.4002859842 0.9301175671 0.8354217407 0.9572293212

Merchandise imports from developing economies in South Asia (% of total merchandise imports) TM.VAL.MRCH.R5.ZS 1.8446601942 1.8523349857 2.4351676154 1.0553564317 2.0504973221 2.564491654 3.1503863681 2.431372549 3.3484035038 2.9682436811 2.0312817388 1.6692511174 1.6892542874 3.4215480013 1.9496577036 1.1657650858 2.6614026121 1.6649273501 2.3093480016 2.0316651904 0.5314976978 0.8440408455 1.4710418298 0.6109493872 0.5734746367 0.4272589247 0.5426674623 0.5233118721 0.7532063163 0.940085843 1.3173433555 1.2888751602 1.2079165487 1.458318853 1.1201770536 1.493097561 2.5115408089 2.0132666149 1.6741245661 1.6976038205 2.0199629145 2.235509632 2.3468119617 2.2165249467 2.5063522935 1.9764698981 2.4712632378 2.3121263432 2.3532295092 2.457025018 2.5855794383

Merchandise imports from developing economies in Sub-Saharan Africa (% of total merchandise imports) TM.VAL.MRCH.R6.ZS 0.0485436893 0 0 0 0 0 0 0 0 0 0 0 0 0 0.4997787438 1.9981549042 0.8918342528 0.4399133018 0.9282233715 1.6137068202 1.1294326078 1.1907004785 0.6655277956 0.2507399887 0.306909793 0.8408922801 0.425182754 0.4999844484 0.617540218 0.5826734914 0.3748170723 0.3483506515 0.3314943494 0.3245519313 0.3833847827 0.7672614631 1.0968873478 1.4188394515 1.4230022625 2.0667492825 2.3593131707 2.4291546706 4.7230874941 4.0257210179 4.6108458214 2.3982668886 0.8170302735 1.8657995238 1.1567000496 1.812803305 1.420659863

Merchandise imports by the reporting economy, residual (% of total merchandise imports) TM.VAL.MRCH.RS.ZS 11.9741100324 22.2019306027 22.5015812777 30.6451612903 42.7850038256 32.8679817906 19.120269467 16.9725490196 17.3212771969 14.9708360337 16.290879545 15.5249475509 17.470614683 15.6682537925 8.4025301299 8.6195328553 8.5587887974 10.0923175724 6.4781321934 7.2727524358 6.580052227 5.8344323449 4.6308159537 0.2018151129 0.2571990519 0.3961147662 0.448493212 0.660943672 0.6397805619 1.00320187 0.4518397877 0.328242764 0.4886216888 0.8504096113 0.8450569626 0.7151665619 1.4538202481 1.3442409411 1.500421332 0.6226190266 0.9178646932 0.9096560039 0.7800328469 0.9729351841 0.5229133682 0.5717635866 0.7059869129 0.0510039814 0.0725756164 0.3189048372 0.1494208579

Merchandise imports by the reporting economy (current US$) TM.VAL.MRCH.WL.CD 618000000 766600000 632400000 502200000 653500000 659000000 504700000 637500000 707800000 771500000 984600000 1096300000 1556900000 2709300000 3841700000 4769400000 5673700000 6228500000 6690200000 7225600000 10837300000 13269500000 16858800000 16351600000 13880300000 10274800000 10724800000 12860400000 13489000000 16469978370 22005069430 25928884760 27279796220 28328009210 32040917000 40629696000 42902309060 41717085000 27362327050 24004415640 33518150910 30964232500 31292541200 32555564560 46527868250 57713990490 61072785080 74483761800 129273624700 96967991680 135690995800

Merchandise imports from developing economies within region (% of total merchandise imports) TM.VAL.MRCH.WR.ZS 4.3873382421 2.9920102591 3.7217269436 4.6471729077 5.8559609343 6.365927793 7.4174418725 5.8135876148 6.6188764379 6.3908402539 6.4675710404 8.0130977525 12.8123478945 9.0403595633 8.497524676 10.7977198672 14.6336909537 14.1483013539 13.3881102979 16.493284029 20.1681656354 20.0407613216 21.2888711484 23.1818055808 27.762471229 24.8044807163 26.3978335495 28.3648793076

Import value index (2000 = 100) TM.VAL.MRCH.XD.WD 32.325824258 39.600179024 50.30284947 48.790093988 41.420259585 30.610174549 31.979710577 36.908846785 39.528569297 48.813963897 65.155900343 77.186334477 81.396389676 84.523347755 95.428912427 121.22631657 128.08891541 124.36222587 81.566462778 71.618678204 100 89.219808104 87.590800296 96.500082414 127.70450815 175.57765123 187.25023389 216.1345365 296.08151307 217.72547144 314.15451546 409.41096173

Computer, communications and other services (% of commercial service imports) TM.VAL.OTHR.ZS.WT 42.4979389942 37.8989642782 32.5449385052 38.4840360712 53.9520958084 48.1965625756 50.8116883117 46.1176997091 43.6779436779 34.4693116311 30.5520702635 36.1491628615 42.5013027619 44.6120689655 43.4315948602 44.9888339988 48.6863204638 48.0659979193 51.4074456914 51.0066159416 51.4671963278 47.8091094398 52.2118464284 51.8590529718 45.4472598754 38.8880060385 35.8588132671 26.8657118724 40.0867402097 34.8794012996 32.9259251116

Commercial service imports (current US$) TM.VAL.SERV.CD.WT 4852000000 4731000000 4228000000 4103000000 5010000000 4131000000 4312000000 4469000000 5291000000 5898000000 6376000000 7884000000 9595000000 11136000000 13230000000 14777000000 16214000000 11871111673.1649 12139043498.0652 15381083130.4348 15595642608.6957 16769971851.4911 17170679822.0352 20620199149.8136 21836469409.1778 21175099001.9701 24074500000 27994103972.1282 22635618279.8713 25599484282.8095 31819643262.9525

Transport services (% of commercial service imports) TM.VAL.TRAN.ZS.WT 41.2963726298 45.8845909956 50.2696310312 44.971971728 31.4730538922 34.8825950133 34.1975881262 37.2745580667 39.3271593272 47.3838589352 49.9827478043 45.3373921867 38.2167795727 35.1364942529 36.7422524565 35.4875820532 33.3045516221 31.4211676206 26.9703636406 26.1109818036 24.8593305521 30.7091640911 28.0919342397 26.5444679218 34.1206665026 38.6342302327 39.464371015 49.6341113579 28.8142459712 33.8785849315 38.149899923

Travel services (% of commercial service imports) TM.VAL.TRVL.ZS.WT 12.2835943941 11.8790953287 12.3462630085 12.5274189617 11.7964071856 13.7981118373 11.8506493506 13.2468113672 13.6458136458 14.1742963717 15.1976160602 14.7894469812 16.0396039604 17.0617816092 16.4172335601 16.2346890438 14.8698655483 17.7023830114 19.3820872326 20.7826716291 21.8375099087 19.613804431 17.9514427528 17.0075321562 16.4141163984 19.03393857 20.3696857671 19.8408464739 23.4857320908 24.9791509094 22.8749153687

Net barter terms of trade index (2000 = 100) TT.PRI.MRCH.XD.WD 182.55813953 182.14285714 172.15189873 173.07692308 156.75675676 108.45070423 96.202531646 81.818181818 81.720430107 94.897959184 91.262135922 88.571428571 88.349514563 84.905660377 90.350877193 97.321428571 99.047619048 81.818181818 66.326530612 100 100.8419693 100.59136645 102.84417692 104.85491794 106.85401025 113.02530568 116.38665333 123.70053624 119.79848963 127.06696959 134.10054736

Export volume index (2000 = 100) TX.QTY.MRCH.XD.WD 24.555368408 25.801079165 23.490863519 25.028216811 26.098340952 25.792408509 30.949830544 36.29413499 42.967380651 46.934992494 44.439390383 49.90362446 58.791539363 65.135591985 71.636297298 70.979244142 73.564029089 82.719177031 97.071885699 120.51826867 100 91.218670477 94.897376301 93.549496046 91.722598482 94.78319377 98.835026018 101.71613704 95.477441611 94.652548748 109.06222942 113.62240718

Agricultural raw materials exports (% of merchandise exports) TX.VAL.AGRI.ZS.UN 45.5693749704 28.5154957653 27.7727548809 28.8772337775 34.7826902094 31.3607910168 24.5824772236 30.8228299375 16.5069145565 12.3133394891 15.7362576697 14.560975153 15.1766028748 18.3263188267 14.1400452262 8.2171883728 5.7633012855 6.325035346 6.6960679903 5.9769515694 7.7234643703 9.3730428719 10.506323697 9.2745181741 5.0168884882 5.1967536731 4.6496423996 4.1751984568 4.8774926851 6.6373492356 5.83042185 4.6339118847 4.5226809986 3.7654376221 3.6137568908 3.6034027539 4.3346744168 4.9566323923 4.984031583 5.05220915 6.4141816199 6.2549941609 6.433799857 4.5264827883 6.5392722065 7.5204744261

Food exports (% of merchandise exports) TX.VAL.FOOD.ZS.UN 16.8253820057 23.5191711992 23.9236428538 16.268878309 19.5607290604 22.1276840776 16.9975147705 12.5842487198 8.0564015772 8.0580749715 9.1199838707 12.2335998098 10.8467900518 9.6033539845 7.6483092416 5.07642747 4.8624147786 6.1649268689 7.27386056 9.9639243922 13.5894862227 12.1837819993 13.8219286316 12.0325400677 11.1576911838 11.2602012395 10.2326488614 10.8328388546 12.7441428351 11.3926374257 11.1957232469 11.4172301879 11.4029818768 11.8287584024 8.9459332846 8.9462294798 11.5088615514 11.3788151724 12.2916857255 11.6842591576 11.6821057626 14.7066229664 17.6860597394 17.2996368972 16.3640152797 16.3271642181

Fuel exports (% of merchandise exports) TX.VAL.FUEL.ZS.UN 31.7117654113 36.0096995004 40.7080930817 47.3464153511 32.8264822248 39.8455332123 51.3646813111 50.1018984258 70.1740748396 74.871904829 70.2883773555 67.9887775981 68.5914524409 65.2046434663 71.8573478411 79.8030840602 82.4143103724 76.3563450974 71.6522724364 66.5968159257 54.7587810373 48.9829556007 39.503936769 40.2301371414 43.9838722617 38.5193004447 33.3384762266 28.3574552978 26.369909201 25.3643605238 25.8324536198 24.6413082931 19.0645877753 22.971273319 25.3711968097 25.5202734514 24.4193846194 25.7714000733 25.7994775222 27.6144743605 27.2436444078 25.386733245 29.1000092317 28.4204837869 29.7269104873 34.1410761973

ICT goods exports (% of total goods exports) TX.VAL.ICTG.ZS.UN 12.1903743102 10.823090948 11.0242727557 9.3145749399 9.1177931933 8.1062710209 6.0893134299 5.2808182076 4.7562764182 5.9401687703 5.0713129356

Insurance and financial services (% of commercial service exports) TX.VAL.INSF.ZS.WT 0.0378891948 0.0528849976 2.5907042608 3.0382535814 1.9366078947 2.5529447817 2.2027990125 1.5751713713 2.1859938876 2.157272963

Manufactures exports (% of merchandise exports) TX.VAL.MANF.ZS.UN 0.2705810721 2.0820751988 1.4451530259 1.3853007383 1.1520004557 1.4062746277 1.7267766225 1.8870772106 0.8247257089 1.1970105554 1.3912202459 1.6396637781 1.7733163911 2.8751300458 2.2850789207 3.0203440195 3.6261536515 6.5260379641 10.0573273072 13.0397173029 19.2907156627 25.0229032367 29.7494048407 31.9425037655 35.4530793189 40.794093638 47.5235543866 53.0857642237 51.8352050389 50.6138696804 51.4326955058 42.3406594119 44.987783819 54.4418508422 57.1215032173 56.4286041831 54.4284811559 52.1126561819 50.4801272225 47.1762001035 44.687299935 42.9298677601 38.8124438692 40.5809686213 37.4977899858 34.1607950234

Ores and metals exports (% of merchandise exports) TX.VAL.MMTL.ZS.UN 5.6202599101 8.1996793934 5.9615620311 5.5450598525 11.4199468936 4.8661716376 4.9533858505 4.3432700327 4.3228734942 3.5237333717 3.410890587 3.4550364569 3.4486851512 3.7326579194 3.9208664916 3.612627208 3.0680727694 3.5031779214 3.5710165689 4.2522939419 4.5575705651 4.436859613 6.4155461742 6.5117473833 4.3804811534 4.2168717026 4.2465761693 3.5428082636 4.1624644807 5.9817624822 5.7005391041 4.7565540943 4.412370896 4.7011518875 4.9298745464 5.4878742111 5.2641104704 5.7274911164 6.4345005424 8.4673303062 9.9683062866 10.7186528633 7.9633887428 9.1697031321 9.8664120668 7.8470105783

Merchandise exports to economies in the Arab World (% of total merchandise exports) TX.VAL.MRCH.AL.ZS 0.3949175824 0 0 0 0.0845785171 0 0.1359311282 0.1223054579 0 0.0117924528 0 0 0.321652277 0 0.0511791405 0.1985328283 0.1837030797 0.635239667 0.6450338407 0.4814327438 0.3530635332 0.6102401062 0.6229081858 0.9795476476 1.1916008343 1.7933243407 2.299013551 1.7706581635 2.8274823024 2.9882180289 2.9784773461 3.7014945496 4.0222492985 4.1465497787 3.7895881842 3.4467950811 3.3378427569 3.7300698611 4.0388630818 3.8628155993 3.3000821023 3.7399353986 3.597512422 3.1138808078 3.0955520388 3.08447277 3.2123493834 3.5629470747 4.1238919467 3.5402839452 3.027022292

Merchandise exports (current US$) TX.VAL.MRCH.CD.WT 841000000 784000000 682000000 696000000 724000000 708000000 679000000 665000000 731000000 854000000 1108000000 1234000000 1777000000 3211000000 7426000000 7102000000 8547000000 10853000000 11643000000 15591000000 21909000000 22260000000 22293000000 21152000000 21902000000 18590000000 16075000000 17135000000 19465000000 22160000000 25675000000 29142000000 33967000000 36823000000 40055000000 45417000000 49814000000 56298000000 50370000000 51243000000 65403000000 57361000000 59166000000 64108000000 70766610000 86996064000 103527000000 118013000000 139606000000 119646000000 158074492000 201472259000

Merchandise exports to high-income economies (% of total merchandise exports) TX.VAL.MRCH.HI.ZS 87.6201923077 77.5064935065 72.6033553026 74.5812518366 76.5858471948 75.2342511172 86.905301314 90.7812261122 80.6024096386 87.5825471698 88.9592187359 90.562819784 89.8651317646 90.7796101949 96.0821021159 95.481618113 96.3891229056 96.3867862773 94.4411997114 96.8071380428 96.6094040798 95.4742275402 96.9265692237 96.0973428417 95.8236923653 94.779636606 93.8011032564 93.3770518512 91.8039130704 90.7596012995 90.9135378093 88.8890016656 88.1682705899 87.3970553447 86.9125426819 80.1514065872 83.6156101086 80.8803553197 79.1570371914 80.7686845644 80.837556544 80.3952034788 77.8407220533 75.7324877518 73.9724715236 72.3339454901 71.4682727948 68.5639985591 67.4209633291 63.4597654258 63.0994374132

Merchandise exports to developing economies outside region (% of total merchandise exports) TX.VAL.MRCH.OR.ZS 3.073489011 4.8831168831 6.1414020371 5.406993829 4.8914575698 4.9012541444 5.4976589639 2.7060082556 2.2489959839 1.8985849057 2.1701781355 0.8527572484 0.7392359348 0.3467016492 1.3010276233 1.3291843258 1.2906018909 1.8891234799 1.9771876181 1.4051417017 1.9920264205 1.8475197709 0.8146066161 1.2214926216 1.7940187206 2.4704560966 3.0538732133 2.7080654265 2.9580211752 3.2914631528 2.9667885893 3.4451198222 3.4536694037 4.061733833 4.8991591358 5.6828207616 5.2953374676 6.4376988773 7.7478180308 8.1130125852 7.5805416622 8.0972177983 8.8757702904 9.1087718584 9.6895892693 10.4477405625 10.5932573778 12.4905197362 13.4677194748 14.0740585859 14.252951364

Merchandise exports to developing economies in East Asia & Pacific (% of total merchandise exports) TX.VAL.MRCH.R1.ZS 9.3063186813 14.9480519481 17.1060515279 13.7672641787 12.1652100367 9.2114747009 5.3919347531 4.7240483107 7.6974564926 7.5943396226 5.6153359255 4.718590108 2.2064217595 1.1556721639 1.4101200016 1.4826600583 1.3420855565 1.4004775822 2.0467585117 1.7248130436 1.2703901033 2.2427268871 1.7739924661 1.7910518016 1.7844347997 2.4914149367 3.0525228382 3.667002217 4.9166202299 5.5004399528 5.917134938 7.3517111586 7.8469072461 7.7908519962 7.9390602769 9.8499573311 10.393858627 10.9999241692 11.1936464628 11.0707232672 11.479731834 11.3296265451 13.1479359268 15.0730352022 16.3018019122 17.2083675911 17.8298355862 18.8842041246 19.0642354443 22.4118108761 22.5932794681

Merchandise exports to developing economies in Europe & Central Asia (% of total merchandise exports) TX.VAL.MRCH.R2.ZS 0.4907271979 0.6713653209 0.3597448422 0.575936985 0.6864264532 0.4958191127 0.5775817807 0.6509615196 0.8115176126 0.9822586974 0.9584423708 1.2853468378 1.3058859769 1.6687955399 1.4318253164 1.3074172501 1.5310578856

Merchandise exports to developing economies in Latin America & the Caribbean (% of total merchandise exports) TX.VAL.MRCH.R3.ZS 0.5151098901 0 0 0 0 0 0 0 0 0 0 0 0 0 0.096971003 0.0098562397 0.0128709164 0.0184394678 0.0687119937 0.0661167635 0.7011093676 0.7269962999 0.0737301655 0.1299159783 0.0862552883 0.0752368618 0.2673742632 0.1803825273 0.1620126721 0.1880358387 0.340596195 0.5470832084 0.7871612014 1.1522475602 1.3134198469 1.582173836 1.4589215886 1.6679319382 1.7930266232 1.6208141328 1.651429049 1.6427834725 1.6393058828 1.3514208137 1.5104250669 1.4863012046 1.6419160932 1.6707907325 1.6809792515 1.7335375599 2.1527335025

Merchandise exports to developing economies in Middle East & North Africa (% of total merchandise exports) TX.VAL.MRCH.R4.ZS 0.4292582418 0 0 0 0.0845785171 0 0.1359311282 0.1223054579 0 0.0117924528 0 0 0.321652277 0 0.0646473353 0.1957167598 0.1684919966 0.6306298 0.5883464459 0.2747376192 0.2700434259 0.2041133459 0.3056450496 0.441526042 0.6580959031 0.8109458886 1.205209747 1.0008320871 1.1975522671 1.4968327798 1.1870358262 1.3963858721 1.1074913812 1.1014595813 1.258515959 1.3513279668 1.0096408066 1.146841334 1.4403021942 1.4430212458 1.2414801707 1.3518593401 1.3034807129 1.1478745317 1.4404509195 1.4091084724 1.4336236704 1.6507950808 2.1516085651 1.7303578756 1.4768510872

Merchandise exports to developing economies in South Asia (% of total merchandise exports) TX.VAL.MRCH.R5.ZS 1.6998626374 0.5584415584 0.2246854404 0.9991184249 0.8175923315 0.3315554274 0.8760006041 0.259899098 0.0133868809 0.0117924528 0.0090424089 0 0.028215112 0.1686656672 0.4983232097 0.6927528477 0.4504820743 0.7781455427 0.5187755523 0.4082549668 0.3913805058 0.3107898683 0.1992948715 0.2212337311 0.4308200642 0.6765943497 0.8264295408 0.826268351 0.9091284337 0.8201171492 0.7830996756 0.770746465 0.8877065898 1.118905974 1.4679430573 1.5335230916 1.7850723076 2.1784847251 2.6159294959 3.0299186576 2.8149764561 2.8998750834 3.484312956 4.0786046531 4.387751975 4.9532255302 4.9713386626 6.1084283006 6.8145077547 7.8812890637 7.6156491248

Merchandise exports to developing economies in Sub-Saharan Africa (% of total merchandise exports) TX.VAL.MRCH.R6.ZS 0.3262362637 0 0 0 0 0 0 0 0 0 0 0 0 0 0.2909130089 0.0323847876 0.1837030797 0.1078708868 0.2164427801 0.1097666656 0.1706017589 0.0264591374 0.0638994767 0.0169455624 0.0424430784 0.2052891514 0.1937788221 0.1297590439 0.4029678245 0.2666922161 0.2141672263 0.4262431936 0.466072171 0.415980879 0.3685530747 0.5444305463 0.6819579227 0.8685038949 1.2121332643 1.5234394362 1.2950742057 1.5517383827 1.637153126 1.5486131626 1.392518937 1.3137585176 1.2404929707 1.3917100824 1.3887985901 1.4214568341 1.4766597633

Merchandise exports by the reporting economy, residual (% of total merchandise exports) TX.VAL.MRCH.RS.ZS 0 2.6623376623 4.1491911324 6.2444901557 6.3574851988 10.6530200375 2.205104969 1.7887173215 9.4511378849 2.9245283019 3.2552672032 3.8658328596 7.1892105412 7.718015992 1.2067502593 1.706537503 0.9781896471 0.3236126605 1.5348541588 0.0629072119 0.1281793964 0.4355258019 0.4848316941 0.8901127351 0.5978541145 0.2584923608 0.0925006921 0.2478805053 0.3214455245 0.4484955948 0.2025386634 0.3141673536 0.5311527602 0.750358826 0.2492379054 4.3158153201 0.6951937968 1.6820216339 1.901498315 0.0475795833 0.1021699598 0.1779521778 0.1355717296 0.0857051876 0.036137295 0.0099463563 0.1086342413 0.0612775801 0.0470817518 0.0543651122 0.0543317548

Merchandise exports by the reporting economy (current US$) TX.VAL.MRCH.WL.CD 582400000 770000000 667600000 680600000 709400000 693700000 662100000 654100000 747000000 848000000 1105900000 1231300000 1772100000 3201600000 7424900000 7102100000 8546400000 10846300000 11642800000 15578500000 21922400000 23810300000 22378900000 21244500000 21911700000 18607900000 14810700000 17185700000 19381200000 21943887550 25690336910 29200273660 33997603990 36856518830 40084593000 45479263000 49909630900 53453716640 48863206750 48671016870 62138751080 56336371500 57168555900 61075382340 71587618920 85660243030 100842265500 114111539400 137022025700 116509775200 157791112000

Merchandise exports to developing economies within region (% of total merchandise exports) TX.VAL.MRCH.WR.ZS 9.3063186813 14.9480519481 17.1060515279 13.7672641787 12.1652100367 9.2114747009 5.3919347531 4.7240483107 7.6974564926 7.5943396226 5.6153359255 4.718590108 2.2064217595 1.1556721639 1.4101200016 1.4826600583 1.3420855565 1.4004775822 2.0467585117 1.7248130436 1.2703901033 2.2427268871 1.7739924661 1.7910518016 1.7844347997 2.4914149367 3.0525228382 3.667002217 4.9166202299 5.5004399528 5.917134938 7.3517111586 7.8469072461 7.7908519962 7.9390602769 9.8499573311 10.393858627 10.9999241692 11.1936464628 11.0707232672 11.479731834 11.3296265451 13.1479359268 15.0730352022 16.3018019122 17.2083675911 17.8298355862 18.8842041246 19.0642354443 22.4118108761 22.5932794681

Export value index (2000 = 100) TX.VAL.MRCH.XD.WD 38.551928401 40.507694289 35.941021183 34.038374863 35.232760286 29.91919387 23.831369519 27.583542592 30.936514069 35.670594295 41.328633057 46.909406993 54.676131608 59.273388707 64.472667568 73.108621467 80.184791707 86.027944112 78.628227416 78.336874638 100 87.704679927 90.456678949 98.015502928 109.75124987 131.75806871 158.2185393 181.52185546 213.44198633 182.92537496 241.67749629 308.0281927

Computer, communications and other services (% of commercial service exports) TX.VAL.OTHR.ZS.WT 34.0757238307 30.753968254 18.315018315 10.701754386 30.0947867299 18.7203791469 9.3896713615 3.0679327977 10.2933333333 10.6511254019 8.0085046067 7.4019463285 4.7189272821 2.2435897436 2.115312617 4.3020736614 2.1201413428 1.9585253456 2.2459837319 1.6993667444 1.5853909174 2.6625212717 4.8158400909 37.2063133618 38.3853251795 39.0159568836 34.8942760831 28.7088697319 34.7330320288 38.4498321154 40.7815348646

Commercial service exports (current US$) TX.VAL.SERV.CD.WT 449000000 504000000 546000000 570000000 844000000 844000000 1065000000 1369000000 1875000000 2488000000 2822000000 3391000000 3878000000 4680000000 5342000000 6462000000 6792000000 4340000000 4452392000 5060708660 5361453700 6519008950 5143235558.54 11754718769.0249 12571366733.0715 11092836674.7114 12073900000 14731317774.4984 12618385960.2142 16210683055.5829 19940608534.9568

High-technology exports (current US$) TX.VAL.TECH.CD 101180000 144306712 224574514 493821102 882872278 1375925745 1685982037 2291795910 2611199836 2256518817 2728364531 5774419213 4471258542 5158848176 4680910343 5902813446 6671058414 6034485448 5356419372 5762686044 6038545109 6673355345

High-technology exports (% of manufactured exports) TX.VAL.TECH.MF.ZS 1.45487217 1.5928969224 1.898487722 3.0728782454 4.5387316754 6.6515058469 7.3415905956 8.9607985787 11.5880768805 10.3691016886 10.3725383181 16.3736278945 14.1783336066 16.6700261646 14.7789429197 16.3909442411 16.5489201578 13.469933495 11.002179239 10.9027720271 12.8744760763 11.3642254212

Transport services (% of commercial service exports) TX.VAL.TRAN.ZS.WT 15.144766147 13.6904761905 9.1575091575 8.5964912281 4.9763033175 4.6208530806 3.8497652582 3.2140248356 2.88 2.8135048232 2.8703047484 2.6245945149 1.1346054667 16.2279267925 16.6393312198 19.3867953034 22.6065907504 18.9496494612 18.2745426084 19.00867303 19.3286259049 16.4424456223 17.1779938275

Travel services (% of commercial service exports) TX.VAL.TRVL.ZS.WT 50.7795100223 55.5555555556 72.5274725275 80.701754386 64.9289099526 76.6587677725 86.7605633803 93.7180423667 86.8266666667 86.5353697749 89.1211906449 89.9734591566 94.1464672512 97.7564102564 97.884687383 95.6979263386 97.8798586572 98.0414746544 97.7540162681 98.3006332556 98.4146090826 81.071662741 78.4919436917 40.816187074 35.9698304887 40.0977857605 44.2782365267 50.0796582256 44.3631706951 42.9217283747 39.8831983449

Battle-related deaths (number of people) VC.BTL.DETH 84 73 34 39 45 38 112 282 213 112 478 738 213

Internally displaced persons (number, high estimate) VC.IDP.TOTL.HE 1259841 1100000 600000 500000 600000 250000 200000 120000 120000 200000

Internally displaced persons (number, low estimate) VC.IDP.TOTL.LE 580000 342000 150000 100000 70000 70000

Intentional homicides (per 100,000 people) VC.IHR.PSRC.P5 8.1

Presence of peace keepers (number of troops, police, and military observers in mandate) VC.PKP.TOTL.UN

Sheet2

INDICATOR_CODE INDICATOR_NAME SOURCE_NOTE SOURCE_ORGANIZATION

AG.AGR.TRAC.NO Agricultural machinery, tractors Agricultural machinery refers to the number of wheel and crawler tractors (excluding garden tractors) in use in agriculture at the end of the calendar year specified or during the first quarter of the following year. Food and Agriculture Organization, electronic files and web site.

AG.CON.FERT.PT.ZS Fertilizer consumption (% of fertilizer production) Fertilizer consumption measures the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including ground rock phosphate). Traditional nutrients--animal and plant manures--are Food and Agriculture Organization, electronic files and web site.

AG.CON.FERT.ZS Fertilizer consumption (kilograms per hectare of arable land) Fertilizer consumption measures the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including ground rock phosphate). Traditional nutrients--animal and plant manures--are Food and Agriculture Organization, electronic files and web site.

AG.LND.AGRI.K2 Agricultural land (sq. km) Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows f Food and Agriculture Organization, electronic files and web site.

AG.LND.AGRI.ZS Agricultural land (% of land area) Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows f Food and Agriculture Organization, electronic files and web site.

AG.LND.ARBL.HA Arable land (hectares) Arable land (in hectares) includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandone Food and Agriculture Organization, electronic files and web site.

AG.LND.ARBL.HA.PC Arable land (hectares per person) Arable land (hectares per person) includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land Food and Agriculture Organization, electronic files and web site.

AG.LND.ARBL.ZS Arable land (% of land area) Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result Food and Agriculture Organization, electronic files and web site.

AG.LND.CREL.HA Land under cereal production (hectares) Land under cereal production refers to harvested area, although some countries report only sown or cultivated area. Cereals include wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to c Food and Agriculture Organization, electronic files and web site.

AG.LND.CROP.ZS Permanent cropland (% of land area) Permanent cropland is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, Food and Agriculture Organization, electronic files and web site.

AG.LND.EL5M.ZS Land area where elevation is below 5 meters (% of total land area) Land area below 5m is the percentage of total land where the elevation is 5 meters or less. Center for International Earth Science Information Network (CIESIN), Place II dataset.

AG.LND.FRST.K2 Forest area (sq. km) Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urb Food and Agriculture Organization, electronic files and web site.

AG.LND.FRST.ZS Forest area (% of land area) Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urb Food and Agriculture Organization, electronic files and web site.

AG.LND.IRIG.AG.ZS Agricultural irrigated land (% of total agricultural land) Agricultural irrigated land refers to agricultural areas purposely provided with water, including land irrigated by controlled flooding. Food and Agriculture Organization, electronic files and web site.

AG.LND.PRCP.MM Average precipitation in depth (mm per year) Average precipitation is the long-term average in depth (over space and time) of annual precipitation in the country. Precipitation is defined as any kind of water that falls from clouds as a liquid or a solid. Food and Agriculture Organization, electronic files and web site.

AG.LND.TOTL.K2 Land area (sq. km) Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes. Food and Agriculture Organization, electronic files and web site.

AG.LND.TRAC.ZS Agricultural machinery, tractors per 100 sq. km of arable land Agricultural machinery refers to the number of wheel and crawler tractors (excluding garden tractors) in use in agriculture at the end of the calendar year specified or during the first quarter of the following year. Arable land includes land defined by t Food and Agriculture Organization, electronic files and web site.

AG.PRD.CREL.MT Cereal production (metric tons) Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded. Food and Agriculture Organization, electronic files and web site.

AG.PRD.CROP.XD Crop production index (2004-2006 = 100) Crop production index shows agricultural production for each year relative to the base period 2004-2006. It includes all crops except fodder crops. Regional and income group aggregates for the FAO's production indexes are calculated from the underlying va Food and Agriculture Organization, electronic files and web site.

AG.PRD.FOOD.XD Food production index (2004-2006 = 100) Food production index covers food crops that are considered edible and that contain nutrients. Coffee and tea are excluded because, although edible, they have no nutritive value. Food and Agriculture Organization, electronic files and web site.

AG.PRD.LVSK.XD Livestock production index (2004-2006 = 100) Livestock production index includes meat and milk from all sources, dairy products such as cheese, and eggs, honey, raw silk, wool, and hides and skins. Food and Agriculture Organization, electronic files and web site.

AG.SRF.TOTL.K2 Surface area (sq. km) Surface area is a country's total area, including areas under inland bodies of water and some coastal waterways. Food and Agriculture Organization, electronic files and web site.

AG.YLD.CREL.KG Cereal yield (kg per hectare) Cereal yield, measured as kilograms per hectare of harvested land, includes wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harveste Food and Agriculture Organization, electronic files and web site.

BG.GSR.NFSV.GD.ZS Trade in services (% of GDP) Trade in services is the sum of service exports and imports divided by the value of GDP, all in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.

BM.GSR.CMCP.ZS Communications, computer, etc. (% of service imports, BoP) Communications, computer, information, and other services (% of service imports, BoP) cover international telecommunications and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BM.GSR.FCTY.CD Income payments (BoP, current US$) Income payments refer to employee compensation paid to nonresident workers and investment income (payments on direct investment, portfolio investment, other investments). Income derived from the use of intangible assets is excluded from income and recorde International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BM.GSR.GNFS.CD Imports of goods and services (BoP, current US$) Imports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from nonresidents to residents of general merchandise, goods sent for processing and repairs, nonmonetary gold International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BM.GSR.INSF.ZS Insurance and financial services (% of service imports, BoP) Insurance and financial services (% of service imports, BoP) cover various types of insurance provided to nonresidents by resident insurance enterprises and vice versa, and financial intermediary and auxiliary services (except those of insurance enterpris International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BM.GSR.MRCH.CD Goods imports (BoP, current US$) Goods imports refer to all movable goods (including nonmonetary gold) involved in a change of ownership from nonresidents to residents. The category includes goods previously included in services: goods received or sent for processing and their subsequent International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BM.GSR.NFSV.CD Service imports (BoP, current US$) Services (previously nonfactor services) refer to economic output of intangible commodities that may be produced, transferred, and consumed at the same time. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BM.GSR.ROYL.CD Royalty and license fees, payments (BoP, current US$) Royalty and license fees are payments and receipts between residents and nonresidents for the authorized use of intangible, nonproduced, nonfinancial assets and proprietary rights (such as patents, copyrights, trademarks, industrial processes, and franchi International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BM.GSR.TOTL.CD Imports of goods, services and income (BoP, current US$) Imports of goods, services and income is the sum of goods (merchandise) imports, imports of (nonfactor) services and income (factor) payments. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BM.GSR.TRAN.ZS Transport services (% of service imports, BoP) Transport (% of service imports, BoP) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, the movement of goods (freigh International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BM.GSR.TRVL.ZS Travel services (% of service imports, BoP) Travel (% of service imports, BoP) covers goods and services acquired from an economy by travelers for their own use during visits of less than one year in that economy for either business or personal purposes. Services imports refer to economic output of International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BM.KLT.DINV.GD.ZS Foreign direct investment, net outflows (% of GDP) Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.

BM.TRF.PRVT.CD Private current transfers, payments (BoP, current US$) Current transfers are recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BM.TRF.PWKR.CD Workers' remittances, payments (BoP, current US$) Workers' remittances are current transfers by migrants who are employed or intend to remain employed for more than a year in another economy in which they are considered residents. Some developing countries classify workers' remittances as a factor income International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BM.TRF.PWKR.CD.DT Personal transfers and compensation of employees, paid (current US$) Workers' remittances and compensation of employees comprise current transfers by migrant workers and wages and salaries earned by nonresident workers. Remittances are classified as current private transfers from migrant workers resident in the host countr World Bank staff estimates based on IMF balance of payments data.

BN.CAB.XOKA.CD Current account balance (BoP, current US$) Current account balance is the sum of net exports of goods, services, net income, and net current transfers. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BN.CAB.XOKA.GD.ZS Current account balance (% of GDP) Current account balance is the sum of net exports of goods, services, net income, and net current transfers. International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.

BN.GSR.FCTY.CD Net income (BoP, current US$) Net income refers to receipts and payments of employee compensation paid to nonresident workers and investment income (receipts and payments on direct investment, portfolio investment, other investments, and receipts on reserve assets). Income derived fro International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BN.GSR.GNFS.CD Net trade in goods and services (BoP, current US$) Net trade in goods and services is derived by offsetting imports of goods and services against exports of goods and services. Exports and imports of goods and services comprise all transactions involving a change of ownership of goods and services between International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BN.GSR.MRCH.CD Net trade in goods (BoP, current US$) Net trade in goods is the difference between exports and imports of goods. The category includes goods previously included in services: goods received or sent for processing and their subsequent export or import in the form of processed goods, repairs on International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BN.KAC.EOMS.CD Net errors and omissions, adjusted (BoP, current US$) Net errors and omissions constitute a residual category needed to ensure that all debit and credit entries in the balance of payments statement sum to zero. In the International Financial Statistics presentation, this is equal to the difference between re International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BN.KLT.DINV.CD Foreign direct investment, net (BoP, current US$) Foreign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BN.KLT.PRVT.CD Private capital flows, total (BoP, current US$) Private capital flows consist of net foreign direct investment and portfolio investment. Foreign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BN.KLT.PRVT.GD.ZS Private capital flows, total (% of GDP) Private capital flows consist of net foreign direct investment and portfolio investment. Foreign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates.

BN.KLT.PTXL.CD Portfolio investment, excluding LCFAR (BoP, current US$) Portfolio investment excluding liabilities constituting foreign authorities' reserves covers transactions in equity securities and debt securities. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BN.RES.INCL.CD Changes in net reserves (BoP, current US$) Changes in net reserves is the net change in a country's holdings of international reserves resulting from transactions on the current, capital, and financial accounts. These include changes in holdings of monetary gold, SDRs, foreign exchange assets, res International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BN.TRF.CURR.CD Net current transfers (BoP, current US$) Net current transfers are recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dol International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BN.TRF.KOGT.CD Net capital account (BoP, current US$) Net capital account includes government debt forgiveness, investment grants in cash or in kind by a government entity, and taxes on capital transfers. Also included are migrants' capital transfers and debt forgiveness and investment grants by nongovernmen International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.GRT.EXTA.CD.WD Grants, excluding technical cooperation (BoP, current US$) Grants are defined as legally binding commitments that obligate a specific value of funds available for disbursement for which there is no repayment requirement. Data are in current U.S. dollars. World Bank, International Debt Statistics, and OECD.

BX.GRT.TECH.CD.WD Technical cooperation grants (BoP, current US$) Technical cooperation grants include free-standing technical cooperation grants, which are intended to finance the transfer of technical and managerial skills or of technology for the purpose of building up general national capacity without reference to a World Bank, International Debt Statistics, and OECD.

BX.GSR.CCIS.CD ICT service exports (BoP, current US$) Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions). International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.GSR.CCIS.ZS ICT service exports (% of service exports, BoP) Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions). International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.GSR.CMCP.ZS Communications, computer, etc. (% of service exports, BoP) Communications, computer, information, and other services (% of service exports, BoP) cover international telecommunications and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.GSR.FCTY.CD Income receipts (BoP, current US$) Income receipts refer to employee compensation paid to resident workers working abroad and investment income (receipts on direct investment, portfolio investment, other investments, and receipts on reserve assets). Income derived from the use of intangibl International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.GSR.GNFS.CD Exports of goods and services (BoP, current US$) Exports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, goods sent for processing and repairs, nonmonetary gold International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.GSR.INSF.ZS Insurance and financial services (% of service exports, BoP) Insurance and financial services (% of service exports, BoP) cover various types of insurance provided to nonresidents by resident insurance enterprises and vice versa, and financial intermediary and auxiliary services (except those of insurance enterpris International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.GSR.MRCH.CD Goods exports (BoP, current US$) Goods exports refer to all movable goods (including nonmonetary gold) involved in a change of ownership from residents to nonresidents. The category includes goods previously included in services: goods received or sent for processing and their subsequent International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.GSR.NFSV.CD Service exports (BoP, current US$) Services (previously nonfactor services) refer to economic output of intangible commodities that may be produced, transferred, and consumed at the same time. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.GSR.ROYL.CD Royalty and license fees, receipts (BoP, current US$) Royalty and license fees are payments and receipts between residents and nonresidents for the authorized use of intangible, nonproduced, nonfinancial assets and proprietary rights (such as patents, copyrights, trademarks, industrial processes, and franchi International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.GSR.TOTL.CD Exports of goods, services and income (BoP, current US$) Exports of goods, services and income is the sum of goods (merchandise) exports, exports of (nonfactor) services and income (factor) receipts. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.GSR.TRAN.ZS Transport services (% of service exports, BoP) Transport (% of service exports, BoP) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of goods (freight), International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.GSR.TRVL.ZS Travel services (% of service exports, BoP) Travel (% of service exports, BoP) covers goods and services acquired from an economy by travelers for their own use during visits of less than one year in that economy for either business or personal purposes. Service exports refer to economic output of International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.KLT.DINV.CD.WD Foreign direct investment, net inflows (BoP, current US$) Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme International Monetary Fund, Balance of Payments database, supplemented by data from the United Nations Conference on Trade and Development and official national sources.

BX.KLT.DINV.WD.GD.ZS Foreign direct investment, net inflows (% of GDP) Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.

BX.PEF.TOTL.CD.WD Portfolio equity, net inflows (BoP, current US$) Portfolio equity includes net inflows from equity securities other than those recorded as direct investment and including shares, stocks, depository receipts (American or global), and direct purchases of shares in local stock markets by foreign investors. International Monetary Fund, Balance of Payments database, and World Bank, International Debt Statistics.

BX.TRF.CURR.CD Current transfers, receipts (BoP, current US$) Current transfers (receipts) are recorded in the balance of payments whenever an economy receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars. International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.TRF.PWKR.CD Workers' remittances, receipts (BoP, current US$) Workers' remittances are current transfers by migrants who are employed or intend to remain employed for more than a year in another economy in which they are considered residents. Some developing countries classify workers' remittances as a factor income International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

BX.TRF.PWKR.CD.DT Personal transfers and compensation of employees, received (current US$) "Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensa World Bank staff estimates based on IMF balance of payments data.

BX.TRF.PWKR.DT.GD.ZS Personal transfers and compensation of employees, received (% of GDP) "Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensa World Bank staff estimates based on IMF balance of payments data, and World Bank and OECD GDP estimates.

CM.MKT.INDX.ZG S&P Global Equity Indices (annual % change) S&P Global Equity Indices measure the U.S. dollar price change in the stock markets covered by the S&P/IFCI and S&P/Frontier BMI country indices. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.

CM.MKT.LCAP.CD Market capitalization of listed companies (current US$) Market capitalization (also known as market value) is the share price times the number of shares outstanding. Listed domestic companies are the domestically incorporated companies listed on the country's stock exchanges at the end of the year. Listed comp Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.

CM.MKT.LCAP.GD.ZS Market capitalization of listed companies (% of GDP) Market capitalization (also known as market value) is the share price times the number of shares outstanding. Listed domestic companies are the domestically incorporated companies listed on the country's stock exchanges at the end of the year. Listed comp Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.

CM.MKT.LDOM.NO Listed domestic companies, total Listed domestic companies are the domestically incorporated companies listed on the country's stock exchanges at the end of the year. This indicator does not include investment companies, mutual funds, or other collective investment vehicles. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.

CM.MKT.TRAD.CD Stocks traded, total value (current US$) Stocks traded refers to the total value of shares traded during the period. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.

CM.MKT.TRAD.GD.ZS Stocks traded, total value (% of GDP) Stocks traded refers to the total value of shares traded during the period. This indicator complements the market capitalization ratio by showing whether market size is matched by trading. Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.

CM.MKT.TRNR Stocks traded, turnover ratio (%) Turnover ratio is the total value of shares traded during the period divided by the average market capitalization for the period. Average market capitalization is calculated as the average of the end-of-period values for the current period and the previou Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data.

DC.DAC.AUSL.CD Net bilateral aid flows from DAC donors, Australia (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.AUTL.CD Net bilateral aid flows from DAC donors, Austria (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.BELL.CD Net bilateral aid flows from DAC donors, Belgium (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.CANL.CD Net bilateral aid flows from DAC donors, Canada (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.CECL.CD Net bilateral aid flows from DAC donors, European Union institutions (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.CHEL.CD Net bilateral aid flows from DAC donors, Switzerland (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.DEUL.CD Net bilateral aid flows from DAC donors, Germany (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.DNKL.CD Net bilateral aid flows from DAC donors, Denmark (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.ESPL.CD Net bilateral aid flows from DAC donors, Spain (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.FINL.CD Net bilateral aid flows from DAC donors, Finland (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.FRAL.CD Net bilateral aid flows from DAC donors, France (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.GBRL.CD Net bilateral aid flows from DAC donors, United Kingdom (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.GRCL.CD Net bilateral aid flows from DAC donors, Greece (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.IRLL.CD Net bilateral aid flows from DAC donors, Ireland (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.ITAL.CD Net bilateral aid flows from DAC donors, Italy (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.JPNL.CD Net bilateral aid flows from DAC donors, Japan (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.KORL.CD Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.LUXL.CD Net bilateral aid flows from DAC donors, Luxembourg (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.NLDL.CD Net bilateral aid flows from DAC donors, Netherlands (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.NORL.CD Net bilateral aid flows from DAC donors, Norway (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.NZLL.CD Net bilateral aid flows from DAC donors, New Zealand (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.PRTL.CD Net bilateral aid flows from DAC donors, Portugal (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.SWEL.CD Net bilateral aid flows from DAC donors, Sweden (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.TOTL.CD Net bilateral aid flows from DAC donors, Total (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DC.DAC.USAL.CD Net bilateral aid flows from DAC donors, United States (current US$) Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.DOD.DECT.CD External debt stocks, total (DOD, current US$) Total external debt is debt owed to nonresidents repayable in foreign currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term World Bank, International Debt Statistics.

DT.DOD.DECT.GN.ZS External debt stocks (% of GNI) Total external debt stocks to gross national income. Total external debt is debt owed to nonresidents repayable in foreign currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term deb World Bank, International Debt Statistics.

DT.DOD.DIMF.CD Use of IMF credit (DOD, current US$) Use of IMF credit denotes members' drawings on the IMF other than amounts drawn against the country's reserve tranche position. Use of IMF credit includes purchases and drawings under Stand-By, Extended, Structural Adjustment, Enhanced Structural Adjustme World Bank, International Debt Statistics.

DT.DOD.DLXF.CD External debt stocks, long-term (DOD, current US$) Long-term debt is debt that has an original or extended maturity of more than one year. It has three components: public, publicly guaranteed, and private nonguaranteed debt. Data are in current U.S. dollars. World Bank, International Debt Statistics.

DT.DOD.DPNG.CD External debt stocks, private nonguaranteed (PNG) (DOD, current US$) Private nonguaranteed external debt comprises long-term external obligations of private debtors that are not guaranteed for repayment by a public entity. Data are in current U.S. dollars. World Bank, International Debt Statistics.

DT.DOD.DPPG.CD External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) Public and publicly guaranteed debt comprises long-term external obligations of public debtors, including the national government, political subdivisions (or an agency of either), and autonomous public bodies, and external obligations of private debtors t World Bank, International Debt Statistics.

DT.DOD.DSTC.CD External debt stocks, short-term (DOD, current US$) Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt. Data are in current U.S. dollars. World Bank, International Debt Statistics.

DT.DOD.DSTC.IR.ZS Short-term debt (% of total reserves) Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Total reserves includes gold. World Bank, International Debt Statistics.

DT.DOD.DSTC.XP.ZS Short-term debt (% of exports of goods, services and income) Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt. World Bank, International Debt Statistics.

DT.DOD.DSTC.ZS Short-term debt (% of total external debt) Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Total external debt is debt owed to nonresidents repayable in foreign currency, goods, or services. Total external debt is the sum World Bank, International Debt Statistics.

DT.DOD.MWBG.CD IBRD loans and IDA credits (DOD, current US$) IBRD loans and IDA credits are public and publicly guaranteed debt extended by the World Bank Group. The International Bank for Reconstruction and Development (IBRD) lends at market rates. Credits from the International Development Association (IDA) are a World Bank, International Debt Statistics.

DT.DOD.PVLX.CD Present value of external debt (current US$) Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. Data are in current World Bank, International Debt Statistics.

DT.DOD.PVLX.EX.ZS Present value of external debt (% of exports of goods, services and primary income) Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. The exports denomina World Bank, International Debt Statistics.

DT.DOD.PVLX.GN.ZS Present value of external debt (% of GNI) Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. The GNI denominator World Bank, International Debt Statistics.

DT.NFL.BLAT.CD Net financial flows, bilateral (NFL, current US$) Bilateral debt includes loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Net flows (or net lending or net disbursements) received by the borrower duri World Bank, International Debt Statistics.

DT.NFL.BOND.CD Portfolio investment, bonds (PPG + PNG) (NFL, current US$) Bonds are securities issued with a fixed rate of interest for a period of more than one year. They include net flows through cross-border public and publicly guaranteed and private nonguaranteed bond issues. Data are in current U.S. dollars. World Bank, International Debt Statistics.

DT.NFL.IAEA.CD Net official flows from UN agencies, IAEA (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.NFL.IFAD.CD Net official flows from UN agencies, IFAD (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.NFL.IMFC.CD Net financial flows, IMF concessional (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IMF is the International Monetary Fund, which provides concessional lending through its Extended Credit Facility, Standby Cre World Bank, International Debt Statistics.

DT.NFL.IMFN.CD Net financial flows, IMF nonconcessional (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IMF is the International Monetary Fund, which provides nonconcessional lending through the credit it provides to its members, World Bank, International Debt Statistics.

DT.NFL.MIBR.CD Net financial flows, IBRD (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IBRD is the International Bank for Reconstruction and Development, the founding and largest member of the World Bank Group. D World Bank, International Debt Statistics.

DT.NFL.MIDA.CD Net financial flows, IDA (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IDA is the International Development Association, the concessional loan window of the World Bank Group. Data are in current U World Bank, International Debt Statistics.

DT.NFL.MLAT.CD Net financial flows, multilateral (NFL, current US$) Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization World Bank, International Debt Statistics.

DT.NFL.MOTH.CD Net financial flows, others (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Others is a residual category in the World Bank's Debtor Reporting System. It includes such institutions as the Caribbean Dev World Bank, International Debt Statistics.

DT.NFL.PCBO.CD Commercial banks and other lending (PPG + PNG) (NFL, current US$) Commercial bank and other lending includes net commercial bank lending (public and publicly guaranteed and private nonguaranteed) and other private credits. Data are in current U.S. dollars. World Bank, International Debt Statistics.

DT.NFL.RDBC.CD Net financial flows, RDB concessional (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Concessional financial flows cover disbursements made through concessional lending facilities. Regional development banks are World Bank, International Debt Statistics.

DT.NFL.RDBN.CD Net financial flows, RDB nonconcessional (NFL, current US$) Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Nonconcessional financial flows cover all disbursements except those made through concessional lending facilities. Regional d World Bank, International Debt Statistics.

DT.NFL.UNAI.CD Net official flows from UN agencies, UNAIDS (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.NFL.UNCF.CD Net official flows from UN agencies, UNICEF (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.NFL.UNCR.CD Net official flows from UN agencies, UNHCR (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.NFL.UNDP.CD Net official flows from UN agencies, UNDP (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.NFL.UNEC.CD Net official flows from UN agencies, UNECE (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.NFL.UNFP.CD Net official flows from UN agencies, UNFPA (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.NFL.UNPB.CD Net official flows from UN agencies, UNPBF (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.NFL.UNRW.CD Net official flows from UN agencies, UNRWA (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.NFL.UNTA.CD Net official flows from UN agencies, UNTA (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.NFL.WFPG.CD Net official flows from UN agencies, WFP (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.NFL.WHOL.CD Net official flows from UN agencies, WHO (current US$) Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.ODA.ALLD.CD Net official development assistance and official aid received (current US$) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.ODA.ALLD.KD Net official development assistance and official aid received (constant 2010 US$) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.ODA.OATL.CD Net official aid received (current US$) Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certa Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.ODA.OATL.KD Net official aid received (constant 2010 US$) Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certa Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.ODA.ODAT.CD Net official development assistance received (current US$) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.ODA.ODAT.GI.ZS Net ODA received (% of gross capital formation) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.ODA.ODAT.GN.ZS Net ODA received (% of GNI) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.ODA.ODAT.KD Net official development assistance received (constant 2010 US$) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.ODA.ODAT.MP.ZS Net ODA received (% of imports of goods and services) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.ODA.ODAT.PC.ZS Net ODA received per capita (current US$) Net official development assistance (ODA) per capita consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilater Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.ODA.ODAT.XP.ZS Net ODA received (% of central government expense) Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data

DT.TDS.DECT.CD Debt service on external debt, total (TDS, current US$) Total debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF. Data are in current U.S. dol World Bank, International Debt Statistics.

DT.TDS.DECT.EX.ZS Total debt service (% of exports of goods, services and income) Total debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF. World Bank, International Debt Statistics.

DT.TDS.DECT.GN.ZS Total debt service (% of GNI) Total debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF. World Bank, International Debt Statistics.

DT.TDS.DPPF.XP.ZS Debt service (PPG and IMF only, % of exports, excluding workers' remittances) Debt service is the sum of principle repayments and interest actually paid in foreign currency, goods, or services. This series differs from the standard debt to exports series. It covers only long-term public and publicly guaranteed debt and repayments ( World Bank, International Debt Statistics.

DT.TDS.DPPG.CD Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$) Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. D World Bank, International Debt Statistics.

DT.TDS.DPPG.GN.ZS Public and publicly guaranteed debt service (% of GNI) Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. World Bank, International Debt Statistics.

DT.TDS.DPPG.XP.ZS Public and publicly guaranteed debt service (% of exports, excluding workers' remittances) Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. E World Bank.

DT.TDS.MLAT.CD Multilateral debt service (TDS, current US$) Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization World Bank, International Debt Statistics.

DT.TDS.MLAT.PG.ZS Multilateral debt service (% of public and publicly guaranteed debt service) Multilateral debt service is the repayment of principal and interest to the World Bank, regional development banks, and other multilateral agencies. public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid World Bank, International Debt Statistics.

EA.PRD.AGRI.KD Agriculture value added per worker (constant 2000 US$) Agriculture value added per worker is a measure of agricultural productivity. Value added in agriculture measures the output of the agricultural sector (ISIC divisions 1-5) less the value of intermediate inputs. Agriculture comprises value added from fore Derived from World Bank national accounts files and Food and Agriculture Organization, Production Yearbook and data files.

EE.BOD.CGLS.ZS Water pollution, clay and glass industry (% of total BOD emissions) Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: stone, ceramics, and glass (36). Emissi 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa

EE.BOD.CHEM.ZS Water pollution, chemical industry (% of total BOD emissions) Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: chemicals (35). Emissions of organic wa 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa

EE.BOD.FOOD.ZS Water pollution, food industry (% of total BOD emissions) Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: food and beverages (31). Emissions of o 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa

EE.BOD.MTAL.ZS Water pollution, metal industry (% of total BOD emissions) Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: primary metals (ISIC division 37). Emis 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa

EE.BOD.OTHR.ZS Water pollution, other industry (% of total BOD emissions) Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: other (38 and 39). Emissions of organic 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa

EE.BOD.PAPR.ZS Water pollution, paper and pulp industry (% of total BOD emissions) Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: paper and pulp (34). Emissions of organ 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa

EE.BOD.TOTL.KG Organic water pollutant (BOD) emissions (kg per day) Emissions of organic water pollutants are measured by biochemical oxygen demand, which refers to the amount of oxygen that bacteria in water will consume in breaking down waste. This is a standard water-treatment test for the presence of organic pollutant 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa

EE.BOD.TXTL.ZS Water pollution, textile industry (% of total BOD emissions) Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: textiles (32). Emissions of organic wat 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa

EE.BOD.WOOD.ZS Water pollution, wood industry (% of total BOD emissions) Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: wood (33). Emissions of organic water p 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa

EE.BOD.WRKR.KG Organic water pollutant (BOD) emissions (kg per day per worker) Emissions per worker are total emissions of organic water pollutants divided by the number of industrial workers. Organic water pollutants are measured by biochemical oxygen demand, which refers to the amount of oxygen that bacteria in water will consume World Bank and UNIDO's industry database.

EG.EGY.PROD.KT.OE Energy production (kt of oil equivalent) Energy production refers to forms of primary energy--petroleum (crude oil, natural gas liquids, and oil from nonconventional sources), natural gas, solid fuels (coal, lignite, and other derived fuels), and combustible renewables and waste--and primary ele International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EG.ELC.ACCS.ZS Access to electricity (% of population) Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources. International Energy Agency, World Energy Outlook 2010.

EG.ELC.COAL.KH Electricity production from coal sources (kWh) Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, a International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.

EG.ELC.COAL.ZS Electricity production from coal sources (% of total) Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, a International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.

EG.ELC.FOSL.ZS Electricity production from oil, gas and coal sources (% of total) Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products. Gas refers to natural gas but excludes natural gas liquids. Coal refers to all coal and brown coal, both primary (including hard coal International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.

EG.ELC.HYRO.KH Electricity production from hydroelectric sources (kWh) Sources of electricity refer to the inputs used to generate electricity. Hydropower refers to electricity produced by hydroelectric power plants. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.

EG.ELC.HYRO.ZS Electricity production from hydroelectric sources (% of total) Sources of electricity refer to the inputs used to generate electricity. Hydropower refers to electricity produced by hydroelectric power plants. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.

EG.ELC.LOSS.KH Electric power transmission and distribution losses (kWh) Electric power transmission and distribution losses include losses in transmission between sources of supply and points of distribution and in the distribution to consumers, including pilferage. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries and Energy Statistics of OECD Countries, and United Nations, Energy Statistics Yearbook.

EG.ELC.LOSS.ZS Electric power transmission and distribution losses (% of output) Electric power transmission and distribution losses include losses in transmission between sources of supply and points of distribution and in the distribution to consumers, including pilferage. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries and Energy Statistics of OECD Countries, and United Nations, Energy Statistics Yearbook.

EG.ELC.NGAS.KH Electricity production from natural gas sources (kWh) Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.

EG.ELC.NGAS.ZS Electricity production from natural gas sources (% of total) Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.

EG.ELC.NUCL.KH Electricity production from nuclear sources (kWh) Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.

EG.ELC.NUCL.ZS Electricity production from nuclear sources (% of total) Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.

EG.ELC.PETR.KH Electricity production from oil sources (kWh) Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.

EG.ELC.PETR.ZS Electricity production from oil sources (% of total) Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.

EG.ELC.PROD.KH Electricity production (kWh) Electricity production is measured at the terminals of all alternator sets in a station. In addition to hydropower, coal, oil, gas, and nuclear power generation, it covers generation by geothermal, solar, wind, and tide and wave energy, as well as that fr International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries.

EG.ELC.RNEW.KH Electricity production from renewable sources (kWh) Electricity production from renewable sources includes hydropower, geothermal, solar, tides, wind, biomass, and biofuels. IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries

EG.ELC.RNWX.KH Electricity production from renewable sources, excluding hydroelectric (kWh) Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels. IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries

EG.ELC.RNWX.ZS Electricity production from renewable sources, excluding hydroelectric (% of total) Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels. IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries

EG.GDP.PUSE.KO.PP GDP per unit of energy use (PPP $ per kg of oil equivalent) GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to current international dollars using purchasing power parity rates. An international dollar has the same purchasing power International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), and World Bank PPP data.

EG.GDP.PUSE.KO.PP.KD GDP per unit of energy use (constant 2005 PPP $ per kg of oil equivalent) GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to 2005 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), and World Bank PPP data.

EG.IMP.CONS.ZS Energy imports, net (% of energy use) Net energy imports are estimated as energy use less production, both measured in oil equivalents. A negative value indicates that the country is a net exporter. Energy use refers to use of primary energy before transformation to other end-use fuels, which International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp) and United Nations, Energy Statistics Yearbook.

EG.USE.COMM.CL.ZS Alternative and nuclear energy (% of total energy use) Clean energy is noncarbohydrate energy that does not produce carbon dioxide when generated. It includes hydropower and nuclear, geothermal, and solar power, among others. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EG.USE.COMM.FO.ZS Fossil fuel energy consumption (% of total) Fossil fuel comprises coal, oil, petroleum, and natural gas products. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EG.USE.COMM.GD.PP.KD Energy use (kg of oil equivalent) per $1,000 GDP (constant 2005 PPP) Energy use per PPP GDP is the kilogram of oil equivalent of energy use per constant PPP GDP. Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, m International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), and World Bank PPP data.

EG.USE.COMM.KT.OE Energy use (kt of oil equivalent) Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EG.USE.CRNW.KT.OE Combustible renewables and waste (metric tons of oil equivalent) Combustible renewables and waste comprise solid biomass, liquid biomass, biogas, industrial waste, and municipal waste. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EG.USE.CRNW.ZS Combustible renewables and waste (% of total energy) Combustible renewables and waste comprise solid biomass, liquid biomass, biogas, industrial waste, and municipal waste, measured as a percentage of total energy use. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EG.USE.ELEC.KH Electric power consumption (kWh) Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries and Energy Statistics of OECD Countries.

EG.USE.ELEC.KH.PC Electric power consumption (kWh per capita) Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries and Energy Statistics of OECD Countries.

EG.USE.PCAP.KG.OE Energy use (kg of oil equivalent per capita) Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.CO2E.EG.ZS CO2 intensity (kg per kg of oil equivalent energy use) Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.

EN.ATM.CO2E.GF.KT CO2 emissions from gaseous fuel consumption (kt) Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of natural gas as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.

EN.ATM.CO2E.GF.ZS CO2 emissions from gaseous fuel consumption (% of total) Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of natural gas as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.

EN.ATM.CO2E.KD.GD CO2 emissions (kg per 2000 US$ of GDP) Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.

EN.ATM.CO2E.KT CO2 emissions (kt) Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.

EN.ATM.CO2E.LF.KT CO2 emissions from liquid fuel consumption (kt) Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of petroleum-derived fuels as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.

EN.ATM.CO2E.LF.ZS CO2 emissions from liquid fuel consumption (% of total) Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of petroleum-derived fuels as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.

EN.ATM.CO2E.PC CO2 emissions (metric tons per capita) Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.

EN.ATM.CO2E.PP.GD CO2 emissions (kg per PPP $ of GDP) Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.

EN.ATM.CO2E.PP.GD.KD CO2 emissions (kg per 2005 PPP $ of GDP) Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.

EN.ATM.CO2E.SF.KT CO2 emissions from solid fuel consumption (kt) Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.

EN.ATM.CO2E.SF.ZS CO2 emissions from solid fuel consumption (% of total) Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source. Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.

EN.ATM.GHGO.KT.CE Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) Other greenhouse gas emissions are by-product emissions of hydrofluorocarbons, perfluorocarbons, and sulfur hexafluoride. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.HFCG.KT.CE HFC gas emissions (thousand metric tons of CO2 equivalent) Hydrofluorocarbons, used as a replacement for chlorofluorocarbons, are used mainly in refrigeration and semiconductor manufacturing. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.METH.AG.KT.CE Agricultural methane emissions (thousand metric tons of CO2 equivalent) Agricultural methane emissions are emissions from animals, animal waste, rice production, agricultural waste burning (nonenergy, on-site), and savannah burning. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.METH.AG.ZS Agricultural methane emissions (% of total) Agricultural methane emissions are emissions from animals, animal waste, rice production, agricultural waste burning (nonenergy, on-site), and savannah burning. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.METH.EG.KT.CE Methane emissions in energy sector (thousand metric tons of CO2 equivalent) Methane emissions from energy processes are emissions from the production, handling, transmission, and combustion of fossil fuels and biofuels. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.METH.EG.ZS Energy related methane emissions (% of total) Methane emissions from energy processes are emissions from the production, handling, transmission, and combustion of fossil fuels and biofuels. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.METH.KT.CE Methane emissions (kt of CO2 equivalent) Methane emissions are those stemming from human activities such as agriculture and from industrial methane production. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.NOXE.AG.KT.CE Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent) Agricultural nitrous oxide emissions are emissions produced through fertilizer use (synthetic and animal manure), animal waste management, agricultural waste burning (nonenergy, on-site), and savannah burning. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.NOXE.AG.ZS Agricultural nitrous oxide emissions (% of total) Agricultural nitrous oxide emissions are emissions produced through fertilizer use (synthetic and animal manure), animal waste management, agricultural waste burning (nonenergy, on-site), and savannah burning. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.NOXE.EG.KT.CE Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent) Nitrous oxide emissions from energy processes are emissions produced by the combustion of fossil fuels and biofuels. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.NOXE.EI.ZS Nitrous oxide emissions in industrial and energy processes (% of total nitrous oxide emissions) Industrial nitrous oxide emissions are emissions produced during the manufacturing of adipic acid and nitric acid. Nitrous oxide emissions from energy processes are emissions produced by the combustion of fossil fuels and biofuels. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.NOXE.IN.KT.CE Industrial nitrous oxide emissions (thousand metric tons of CO2 equivalent) Industrial nitrous oxide emissions are emissions produced during the manufacturing of adipic acid and nitric acid. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.NOXE.KT.CE Nitrous oxide emissions (thousand metric tons of CO2 equivalent) Nitrous oxide emissions are emissions from agricultural biomass burning, industrial activities, and livestock management. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.PFCG.KT.CE PFC gas emissions (thousand metric tons of CO2 equivalent) Perfluorocarbons, used as a replacement for chlorofluorocarbons in manufacturing semiconductors, are a byproduct of aluminum smelting and uranium enrichment. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.ATM.PM10.MC.M3 PM10, country level (micrograms per cubic meter) Particulate matter concentrations refer to fine suspended particulates less than 10 microns in diameter (PM10) that are capable of penetrating deep into the respiratory tract and causing significant health damage. Data for countries and aggregates for reg Kiran Dev Pandey, David Wheeler, Bart Ostro, Uwe Deichmann, Kirk Hamilton, and Katherine Bolt. "Ambient Particulate Matter Concentrations in Residential and Pollution Hotspot Areas of World Cities: New Estimates Based on the Global Model of Ambient Partic

EN.ATM.SF6G.KT.CE SF6 gas emissions (thousand metric tons of CO2 equivalent) Sulfur hexafluoride is used largely to insulate high-voltage electric power equipment. International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

EN.BIR.THRD.NO Bird species, threatened Birds are listed for countries included within their breeding or wintering ranges. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species.

EN.CLC.DRSK.XQ Disaster risk reduction progress score (1-5 scale; 5=best) Disaster risk reduction progress score is an average of self-assessment scores, ranging from 1 to 5, submitted by countries under Priority 1 of the Hyogo Framework National Progress Reports. The Hyogo Framework is a global blueprint for disaster risk red (UNISDR, 2009-2011 Progress Reports, http://www.preventionweb.net/english/hyogo).

EN.CLC.GHGR.MT.CE GHG net emissions/removals by LUCF (Mt of CO2 equivalent) GHG net emissions/removals by LUCF refers to changes in atmospheric levels of all greenhouse gases attributable to forest and land-use change activities, including but not limited to (1) emissions and removals of CO2 from decreases or increases in biomass United Nations Framework Convention on Climate Change.

EN.CLC.MDAT.ZS Droughts, floods, extreme temperatures (% of population, average 1990-2009) Droughts, floods and extreme temperatures is the annual average percentage of the population that is affected by natural disasters classified as either droughts, floods, or extreme temperature events. A drought is an extended period of time characterized EM-DAT: The OFDA/CRED International Disaster Database: www.emdat.be, Université Catholique de Louvain, Brussels (Belgium), World Bank.

EN.CO2.BLDG.MT CO2 emissions from residential buildings and commercial and public services (million metric tons) CO2 emissions from residential buildings and commercial and public services contains all emissions from fuel combustion in households. This corresponds to IPCC Source/Sink Category 1 A 4 b. Commercial and public services includes emissions from all activi IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.

EN.CO2.BLDG.ZS CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion) CO2 emissions from residential buildings and commercial and public services contains all emissions from fuel combustion in households. This corresponds to IPCC Source/Sink Category 1 A 4 b. Commercial and public services includes emissions from all activi IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.

EN.CO2.ETOT.MT CO2 emissions from electricity and heat production, total (million metric tons) CO2 emissions from electricity and heat production is the sum of three IEA categories of CO2 emissions: (1) Main Activity Producer Electricity and Heat which contains the sum of emissions from main activity producer electricity generation, combined heat a IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.

EN.CO2.ETOT.ZS CO2 emissions from electricity and heat production, total (% of total fuel combustion) CO2 emissions from electricity and heat production is the sum of three IEA categories of CO2 emissions: (1) Main Activity Producer Electricity and Heat which contains the sum of emissions from main activity producer electricity generation, combined heat a IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.

EN.CO2.MANF.MT CO2 emissions from manufacturing industries and construction (million metric tons) CO2 emissions from manufacturing industries and construction contains the emissions from combustion of fuels in industry. The IPCC Source/Sink Category 1 A 2 includes these emissions. However, in the 1996 IPCC Guidelines, the IPCC category also includes e IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.

EN.CO2.MANF.ZS CO2 emissions from manufacturing industries and construction (% of total fuel combustion) CO2 emissions from manufacturing industries and construction contains the emissions from combustion of fuels in industry. The IPCC Source/Sink Category 1 A 2 includes these emissions. However, in the 1996 IPCC Guidelines, the IPCC category also includes e IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.

EN.CO2.OTHX.MT CO2 emissions from other sectors, excluding residential buildings and commercial and public services (million metric tons) CO2 emissions from other sectors, less residential buildings and commercial and public services, contains the emissions from commercial/institutional activities, residential, agriculture/forestry, fishing and other emissions not specified elsewhere that a IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.

EN.CO2.OTHX.ZS CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion) CO2 emissions from other sectors, less residential buildings and commercial and public services, contains the emissions from commercial/institutional activities, residential, agriculture/forestry, fishing and other emissions not specified elsewhere that a IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.

EN.CO2.TRAN.MT CO2 emissions from transport (million metric tons) CO2 emissions from transport contains emissions from the combustion of fuel for all transport activity, regardless of the sector, except for international marine bunkers and international aviation. This includes domestic aviation, domestic navigation, roa IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.

EN.CO2.TRAN.ZS CO2 emissions from transport (% of total fuel combustion) CO2 emissions from transport contains emissions from the combustion of fuel for all transport activity, regardless of the sector, except for international marine bunkers and international aviation. This includes domestic aviation, domestic navigation, roa IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion.

EN.FSH.THRD.NO Fish species, threatened Fish species are based on Froese, R. and Pauly, D. (eds). 2008. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. Froese, R. and Pauly, D. (eds). 2008. FishBase database, www.fishbase.org.

EN.HPT.THRD.NO Plant species (higher), threatened Higher plants are native vascular plant species. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species.

EN.MAM.THRD.NO Mammal species, threatened Mammal species are mammals excluding whales and porpoises. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species.

EN.POP.DNST Population density (people per sq. km of land area) Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently set Food and Agriculture Organization and World Bank population estimates.

EN.POP.EL5M.ZS Population living in areas where elevation is below 5 meters (% of total population) Population below 5m is the percentage of the total population living in areas where the elevation is 5 meters or less. Center for International Earth Science Information Network (CIESIN), Place II dataset.

EN.URB.LCTY Population in largest city Population in largest city is the urban population living in the country's largest metropolitan area. United Nations, World Urbanization Prospects.

EN.URB.LCTY.UR.ZS Population in the largest city (% of urban population) Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area. United Nations, World Urbanization Prospects.

EN.URB.MCTY Population in urban agglomerations of more than 1 million Population in urban agglomerations of more than one million is the country's population living in metropolitan areas that in 2000 had a population of more than one million people. United Nations, World Urbanization Prospects.

EN.URB.MCTY.TL.ZS Population in urban agglomerations of more than 1 million (% of total population) Population in urban agglomerations of more than one million is the percentage of a country's population living in metropolitan areas that in 2000 had a population of more than one million people. United Nations, World Urbanization Prospects.

EP.PMP.DESL.CD Pump price for diesel fuel (US$ per liter) Fuel prices refer to the pump prices of the most widely sold grade of diesel fuel. Prices have been converted from the local currency to U.S. dollars. German Agency for International Cooperation (GIZ).

EP.PMP.SGAS.CD Pump price for gasoline (US$ per liter) Fuel prices refer to the pump prices of the most widely sold grade of gasoline. Prices have been converted from the local currency to U.S. dollars. German Agency for International Cooperation (GIZ).

ER.BDV.TOTL.XQ GEF benefits index for biodiversity (0 = no biodiversity potential to 100 = maximum) GEF benefits index for biodiversity is a composite index of relative biodiversity potential for each country based on the species represented in each country, their threat status, and the diversity of habitat types in each country. The index has been norm Kiran Dev Pandey, Piet Buys, Ken Chomitz, and David Wheeler's, "Biodiversity Conservation Indicators: New Tools for Priority Setting at the Global Environment Facility" (2006).

ER.GDP.FWTL.M3.KD Water productivity, total (constant 2000 US$ GDP per cubic meter of total freshwater withdrawal) Water productivity is calculated as GDP in constant prices divided by annual total water withdrawal. Food and Agriculture Organization, AQUASTAT data, and World Bank and OECD GDP estimates.

ER.H2O.FWAG.ZS Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal) Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 perce Food and Agriculture Organization, AQUASTAT data.

ER.H2O.FWDM.ZS Annual freshwater withdrawals, domestic (% of total freshwater withdrawal) Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 perce Food and Agriculture Organization, AQUASTAT data.

ER.H2O.FWIN.ZS Annual freshwater withdrawals, industry (% of total freshwater withdrawal) Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 perce Food and Agriculture Organization, AQUASTAT data.

ER.H2O.FWTL.K3 Annual freshwater withdrawals, total (billion cubic meters) Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 perce Food and Agriculture Organization, AQUASTAT data.

ER.H2O.FWTL.ZS Annual freshwater withdrawals, total (% of internal resources) Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 perce Food and Agriculture Organization, AQUASTAT data.

ER.H2O.INTR.K3 Renewable internal freshwater resources, total (billion cubic meters) Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country. Food and Agriculture Organization, AQUASTAT data.

ER.H2O.INTR.PC Renewable internal freshwater resources per capita (cubic meters) Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country. Renewable internal freshwater resources per capita are calculated using the World Bank's population es Food and Agriculture Organization, AQUASTAT data.

ER.LND.PTLD.ZS Terrestrial protected areas (% of total land area) Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife s United Nations Environmental Program and the World Conservation Monitoring Centre, as compiled by the World Resources Institute, based on data from national authorities, national legislation and international agreements.

ER.MRN.PTMR.ZS Marine protected areas (% of territorial waters) Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed env United Nations Environmental Program and the World Conservation Monitoring Centre, as compiled by the World Resources Institute, based on data from national authorities, national legislation and international agreements.

ER.PTD.TOTL.ZS Terrestrial and marine protected areas (% of total territorial area) Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife s United Nations Environmental Program and the World Conservation Monitoring Centre, as compiled by the World Resources Institute, based on data from national authorities, national legislation and international agreements.

FB.AST.NPER.ZS Bank nonperforming loans to total gross loans (%) Bank nonperforming loans to total gross loans are the value of nonperforming loans divided by the total value of the loan portfolio (including nonperforming loans before the deduction of specific loan-loss provisions). The loan amount recorded as nonperfo International Monetary Fund, Global Financial Stability Report.

FB.ATM.TOTL.P5 Automated teller machines (ATMs) (per 100,000 adults) Automated teller machines are computerized telecommunications devices that provide clients of a financial institution with access to financial transactions in a public place. International Monetary Fund, Financial Access Survey.

FB.BNK.CAPA.ZS Bank capital to assets ratio (%) Bank capital to assets is the ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 cap International Monetary Fund, Global Financial Stability Report.

FB.CBK.BRCH.P5 Commercial bank branches (per 100,000 adults) Commercial bank branches are retail locations of resident commercial banks and other resident banks that function as commercial banks that provide financial services to customers and are physically separated from the main office but not organized as legal International Monetary Fund, Financial Access Survey.

FB.CBK.BRWR.P3 Borrowers from commercial banks (per 1,000 adults) Borrowers from commercial banks are the reported number of resident customers that are nonfinancial corporations (public and private) and households who obtained loans from commercial banks and other banks functioning as commercial banks. For many countri International Monetary Fund, Financial Access Survey.

FB.CBK.DPTR.P3 Depositors with commercial banks (per 1,000 adults) Depositors with commercial banks are the reported number of deposit account holders at commercial banks and other resident banks functioning as commercial banks that are resident nonfinancial corporations (public and private) and households. For many cou International Monetary Fund, Financial Access Survey.

FB.POS.TOTL.P5 Point-of-sale terminals (per 100,000 adults) Point-of-sale terminals are the equipment used to manage the selling process by a salesperson-accessible interface in the location where a transaction takes place. Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010."

FD.RES.LIQU.AS.ZS Bank liquid reserves to bank assets ratio (%) Ratio of bank liquid reserves to bank assets is the ratio of domestic currency holdings and deposits with the monetary authorities to claims on other governments, nonfinancial public enterprises, the private sector, and other banking institutions. International Monetary Fund, International Financial Statistics and data files.

FI.RES.TOTL.CD Total reserves (includes gold, current US$) Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (Dec International Monetary Fund, International Financial Statistics and data files.

FI.RES.TOTL.DT.ZS Total reserves (% of total external debt) International reserves to total external debt stocks. World Bank, International Debt Statistics.

FI.RES.TOTL.MO Total reserves in months of imports Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (Dec International Monetary Fund, International Financial Statistics and data files.

FI.RES.XGLD.CD Total reserves minus gold (current US$) Total reserves minus gold comprise special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. Gold holdings are excluded. Data are in current U.S. dollars. International Monetary Fund, International Financial Statistics and data files.

FM.AST.CGOV.ZG.M3 Claims on central government (annual growth as % of broad money) Claims on central government (IFS line 32AN..ZK) include loans to central government institutions net of deposits. International Monetary Fund, International Financial Statistics and data files.

FM.AST.DOMO.ZG.M3 Claims on other sectors of the domestic economy (annual growth as % of broad money) Claims on other sectors of the domestic economy (IFS line 32S..ZK) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds. International Monetary Fund, International Financial Statistics and data files.

FM.AST.DOMS.CN Net domestic credit (current LCU) Net domestic credit is the sum of net claims on the central government and claims on other sectors of the domestic economy (IFS line 32). Data are in current local currency. International Monetary Fund, International Financial Statistics and data files.

FM.AST.NFRG.CN Net foreign assets (current LCU) Net foreign assets are the sum of foreign assets held by monetary authorities and deposit money banks, less their foreign liabilities. Data are in current local currency. International Monetary Fund, International Financial Statistics and data files.

FM.AST.PRVT.ZG.M3 Claims on private sector (annual growth as % of broad money) Claims on private sector (IFS line 32D..ZK or 32D..ZF) include gross credit from the financial system to individuals, enterprises, nonfinancial public entities not included under net domestic credit, and financial institutions not included elsewhere. International Monetary Fund, International Financial Statistics and data files.

FM.LBL.BMNY.CN Broad money (current LCU) Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s ch International Monetary Fund, International Financial Statistics and data files.

FM.LBL.BMNY.GD.ZS Broad money (% of GDP) Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s ch International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.

FM.LBL.BMNY.IR.ZS Broad money to total reserves ratio Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s ch International Monetary Fund, International Financial Statistics and data files.

FM.LBL.BMNY.ZG Broad money growth (annual %) Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s ch International Monetary Fund, International Financial Statistics and data files.

FM.LBL.MONY.CN Money (current LCU) Money is the sum of currency outside banks and demand deposits other than those of central government. This series, frequently referred to as M1 is a narrower definition of money than M2. Data are in current local currency. International Monetary Fund, International Financial Statistics and data files.

FM.LBL.MQMY.CN Money and quasi money (M2) (current LCU) Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition of mo International Monetary Fund, International Financial Statistics and data files.

FM.LBL.MQMY.GD.ZS Money and quasi money (M2) as % of GDP Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition of mo International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.

FM.LBL.MQMY.IR.ZS Money and quasi money (M2) to total reserves ratio Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition is fr International Monetary Fund, International Financial Statistics and data files.

FM.LBL.MQMY.ZG Money and quasi money growth (annual %) Average annual growth rate in money and quasi money. Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors oth International Monetary Fund, International Financial Statistics and data files.

FM.LBL.QMNY.CN Quasi money (current LCU) Quasi money refers to time, savings, and foreign currency deposits of resident sectors other than the central government. International Monetary Fund, International Financial Statistics and data files.

FP.CPI.TOTL Consumer price index (2005 = 100) Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

FP.CPI.TOTL.ZG Inflation, consumer prices (annual %) Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres form International Monetary Fund, International Financial Statistics and data files.

FP.WPI.TOTL Wholesale price index (2005 = 100) Wholesale price index refers to a mix of agricultural and industrial goods at various stages of production and distribution, including import duties. The Laspeyres formula is generally used. International Monetary Fund, International Financial Statistics and data files.

FR.INR.DPST Deposit interest rate (%) Deposit interest rate is the rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability. International Monetary Fund, International Financial Statistics and data files.

FR.INR.LEND Lending interest rate (%) Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attach International Monetary Fund, International Financial Statistics and data files.

FR.INR.LNDP Interest rate spread (lending rate minus deposit rate, %) Interest rate spread is the interest rate charged by banks on loans to private sector customers minus the interest rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by c International Monetary Fund, International Financial Statistics and data files.

FR.INR.RINR Real interest rate (%) Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator. International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.

FR.INR.RISK Risk premium on lending (lending rate minus treasury bill rate, %) Risk premium on lending is the interest rate charged by banks on loans to private sector customers minus the "risk free" treasury bill interest rate at which short-term government securities are issued or traded in the market. In some countries this sprea International Monetary Fund, International Financial Statistics database.

FS.AST.CGOV.GD.ZS Claims on central government, etc. (% GDP) Claims on central government (IFS line 52AN or 32AN) include loans to central government institutions net of deposits. International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.

FS.AST.DOMO.GD.ZS Claims on other sectors of the domestic economy (% of GDP) Claims on other sectors of the domestic economy (IFS line 52S or 32S) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security fund International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.

FS.AST.DOMS.GD.ZS Domestic credit provided by banking sector (% of GDP) Domestic credit provided by the banking sector includes all credit to various sectors on a gross basis, with the exception of credit to the central government, which is net. The banking sector includes monetary authorities and deposit money banks, as well International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.

FS.AST.PRVT.GD.ZS Domestic credit to private sector (% of GDP) Domestic credit to private sector refers to financial resources provided to the private sector, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some count International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.

FS.LBL.LIQU.GD.ZS Liquid liabilities (M3) as % of GDP Liquid liabilities are also known as M3. They are the sum of currency and deposits in the central bank (M0), plus transferable deposits and electronic currency (M1), plus time and savings deposits, foreign currency transferable deposits, certificates of d International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.

FS.LBL.QLIQ.GD.ZS Quasi-liquid liabilities (% of GDP) Quasi-liquid liabilities are the sum of currency and deposits in the central bank (M0), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements, plus travelers checks, foreign c International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.

GB.XPD.RSDV.GD.ZS Research and development expenditure (% of GDP) Expenditures for research and development are current and capital expenditures (both public and private) on creative work undertaken systematically to increase knowledge, including knowledge of humanity, culture, and society, and the use of knowledge for United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.

GC.BAL.CASH.CN Cash surplus/deficit (current LCU) Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is close International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.BAL.CASH.GD.ZS Cash surplus/deficit (% of GDP) Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is close International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.

GC.DOD.TOTL.CN Central government debt, total (current LCU) Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is t International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.DOD.TOTL.GD.ZS Central government debt, total (% of GDP) Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is t International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.

GC.FIN.DOMS.CN Net incurrence of liabilities, domestic (current LCU) Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates finan International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.FIN.DOMS.GD.ZS Net incurrence of liabilities, domestic (% of GDP) Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates finan International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.

GC.FIN.FRGN.CN Net incurrence of liabilities, foreign (current LCU) Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates finan International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.FIN.FRGN.GD.ZS Net incurrence of liabilities, foreign (% of GDP) Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates finan International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.

GC.REV.GOTR.CN Grants and other revenue (current LCU) Grants and other revenue include grants from other foreign governments, international organizations, and other government units; interest; dividends; rent; requited, nonrepayable receipts for public purposes (such as fines, administrative fees, and entrep International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.REV.GOTR.ZS Grants and other revenue (% of revenue) Grants and other revenue include grants from other foreign governments, international organizations, and other government units; interest; dividends; rent; requited, nonrepayable receipts for public purposes (such as fines, administrative fees, and entrep International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.REV.SOCL.CN Social contributions (current LCU) Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes ope International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.REV.SOCL.ZS Social contributions (% of revenue) Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes ope International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.REV.XGRT.CN Revenue, excluding grants (current LCU) Revenue is cash receipts from taxes, social contributions, and other revenues such as fines, fees, rent, and income from property or sales. Grants are also considered as revenue but are excluded here. International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.REV.XGRT.GD.ZS Revenue, excluding grants (% of GDP) Revenue is cash receipts from taxes, social contributions, and other revenues such as fines, fees, rent, and income from property or sales. Grants are also considered as revenue but are excluded here. International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.

GC.TAX.EXPT.CN Taxes on exports (current LCU) Taxes on exports are all levies on goods being transported out of the country or services being delivered to nonresidents by residents. Rebates on exported goods that are repayments of previously paid general consumption taxes, excise taxes, or import dut International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.EXPT.ZS Taxes on exports (% of tax revenue) Taxes on exports are all levies on goods being transported out of the country or services being delivered to nonresidents by residents. Rebates on exported goods that are repayments of previously paid general consumption taxes, excise taxes, or import dut International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.GSRV.CN Taxes on goods and services (current LCU) Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal mono International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.GSRV.RV.ZS Taxes on goods and services (% of revenue) Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal mono International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.GSRV.VA.ZS Taxes on goods and services (% value added of industry and services) Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal mono International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD value added estimates.

GC.TAX.IMPT.CN Customs and other import duties (current LCU) Customs and other import duties are all levies collected on goods that are entering the country or services delivered by nonresidents to residents. They include levies imposed for revenue or protection purposes and determined on a specific or ad valorem b International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.IMPT.ZS Customs and other import duties (% of tax revenue) Customs and other import duties are all levies collected on goods that are entering the country or services delivered by nonresidents to residents. They include levies imposed for revenue or protection purposes and determined on a specific or ad valorem b International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.INTT.CN Taxes on international trade (current LCU) Taxes on international trade include import duties, export duties, profits of export or import monopolies, exchange profits, and exchange taxes. International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.INTT.RV.ZS Taxes on international trade (% of revenue) Taxes on international trade include import duties, export duties, profits of export or import monopolies, exchange profits, and exchange taxes. International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.OTHR.CN Other taxes (current LCU) Other taxes include employer payroll or labor taxes, taxes on property, and taxes not allocable to other categories, such as penalties for late payment or nonpayment of taxes. International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.OTHR.RV.ZS Other taxes (% of revenue) Other taxes include employer payroll or labor taxes, taxes on property, and taxes not allocable to other categories, such as penalties for late payment or nonpayment of taxes. International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.TOTL.CN Tax revenue (current LCU) Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax reve International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.TOTL.GD.ZS Tax revenue (% of GDP) Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax reve International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.

GC.TAX.YPKG.CN Taxes on income, profits and capital gains (current LCU) Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragover International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.YPKG.RV.ZS Taxes on income, profits and capital gains (% of revenue) Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragover International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.TAX.YPKG.ZS Taxes on income, profits and capital gains (% of total taxes) Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragover International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.XPN.COMP.CN Compensation of employees (current LCU) Compensation of employees consists of all payments in cash, as well as in kind (such as food and housing), to employees in return for services rendered, and government contributions to social insurance schemes such as social security and pensions that pro International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.XPN.COMP.ZS Compensation of employees (% of expense) Compensation of employees consists of all payments in cash, as well as in kind (such as food and housing), to employees in return for services rendered, and government contributions to social insurance schemes such as social security and pensions that pro International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.XPN.GSRV.CN Goods and services expense (current LCU) Goods and services include all government payments in exchange for goods and services used for the production of market and nonmarket goods and services. Own-account capital formation is excluded. International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.XPN.GSRV.ZS Goods and services expense (% of expense) Goods and services include all government payments in exchange for goods and services used for the production of market and nonmarket goods and services. Own-account capital formation is excluded. International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.XPN.INTP.CN Interest payments (current LCU) Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.XPN.INTP.RV.ZS Interest payments (% of revenue) Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.XPN.INTP.ZS Interest payments (% of expense) Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.XPN.OTHR.CN Other expense (current LCU) Other expense is spending on dividends, rent, and other miscellaneous expenses, including provision for consumption of fixed capital. International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.XPN.OTHR.ZS Other expense (% of expense) Other expense is spending on dividends, rent, and other miscellaneous expenses, including provision for consumption of fixed capital. International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.XPN.TOTL.CN Expense (current LCU) Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefits, and other expenses such as rent and d International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.XPN.TOTL.GD.ZS Expense (% of GDP) Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefits, and other expenses such as rent and d International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates.

GC.XPN.TRFT.CN Subsidies and other transfers (current LCU) Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, International Monetary Fund, Government Finance Statistics Yearbook and data files.

GC.XPN.TRFT.ZS Subsidies and other transfers (% of expense) Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, International Monetary Fund, Government Finance Statistics Yearbook and data files.

IC.BUS.DISC.XQ Business extent of disclosure index (0=less disclosure to 10=more disclosure) Disclosure index measures the extent to which investors are protected through disclosure of ownership and financial information. The index ranges from 0 to 10, with higher values indicating more disclosure. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.BUS.EASE.XQ Ease of doing business index (1=most business-friendly regulations) Ease of doing business ranks economies from 1 to 185, with first place being the best. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation. The index averages the country's percentile rankings on World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.BUS.NDNS.ZS New business density (new registrations per 1,000 people ages 15-64) New businesses registered are the number of new limited liability corporations registered in the calendar year. World Bank's Entrepreneurship Survey and database (http://econ.worldbank.org/research/entrepreneurship).

IC.BUS.NREG New businesses registered (number) New businesses registered are the number of new limited liability corporations registered in the calendar year. World Bank's Entrepreneurship Survey and database (http://econ.worldbank.org/research/entrepreneurship).

IC.CRD.INFO.XQ Credit depth of information index (0=low to 6=high) Credit depth of information index measures rules affecting the scope, accessibility, and quality of credit information available through public or private credit registries. The index ranges from 0 to 6, with higher values indicating the availability of m World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.CRD.PRVT.ZS Private credit bureau coverage (% of adults) Private credit bureau coverage reports the number of individuals or firms listed by a private credit bureau with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.CRD.PUBL.ZS Public credit registry coverage (% of adults) Public credit registry coverage reports the number of individuals and firms listed in a public credit registry with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult populat World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.CUS.DURS.EX Average time to clear exports through customs (days) Average time to clear exports through customs is the average number of days to clear direct exports through customs. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.ELC.DURS Delay in obtaining an electrical connection (days) Delay in obtaining an electrical connection is the average wait, in days, experienced to obtain an electrical connection from the day an establishment applies for it to the day it receives the service. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.ELC.OUTG Power outages in firms in a typical month (number) Power outages are the average number of power outages that establishments experience in a typical month. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.ELC.TIME Time required to get electricity (days) Time required to get electricity is the number of days to obtain a permanent electricity connection. The measure captures the median duration that the electricity utility and experts indicate is necessary in practice, rather than required by law, to compl World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.EMP.FIRE.WK Firing cost (weeks of wages) Firing cost is the cost of advanced notice requirements, severance payments, and penalties due when terminating a redundant worker, expressed in weekly wages. One month is recorded as 4 1/3 weeks. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.EXP.COST.CD Cost to export (US$ per container) Cost measures the fees levied on a 20-foot container in U.S. dollars. All the fees associated with completing the procedures to export or import the goods are included. These include costs for documents, administrative fees for customs clearance and techn World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.EXP.DOCS Documents to export (number) All documents required per shipment to export goods are recorded. It is assumed that the contract has already been agreed upon and signed by both parties. Documents required for clearance by government ministries, customs authorities, port and container t World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.EXP.DURS Time to export (days) Time is recorded in calendar days. The time calculation for a procedure starts from the moment it is initiated and runs until it is completed. If a procedure can be accelerated for an additional cost, the fastest legal procedure is chosen. It is assumed t World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.FRM.BNKS.ZS Firms using banks to finance investment (% of firms) Firms using banks to finance investment are the percentage of firms using banks to finance investments. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.FRM.CORR.ZS Informal payments to public officials (% of firms) Informal payments to public officials are the percentage of firms expected to make informal payments to public officials to "get things done" with regard to customs, taxes, licenses, regulations, services, and the like. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.FRM.CRIM.ZS Losses due to theft, robbery, vandalism, and arson (% sales) Losses due to theft, robbery, vandalism, and arson are the estimated losses from those causes that occurred on establishments' premises as a percentage of annual sales. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.FRM.DURS Time required to obtain an operating license (days) Time required to obtain operating license is the average wait to obtain an operating license from the day the establishment applied for it to the day it was granted. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.FRM.FEMO.ZS Firms with female participation in ownership (% of firms) Firms with female participation in ownership are the percentage of firms with a woman among the principal owners. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.FRM.FREG.ZS Firms formally registered when operations started (% of firms) Firms formally registered when operations started are the percentage of firms formally registered when they started operations in the country. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.FRM.INFM.ZS Firms that do not report all sales for tax purposes (% of firms) Firms that do not report all sales for tax purposes are the percentage of firms that expressed that a typical firm reports less than 100 percent of sales for tax purposes; such firms are termed "informal firms." World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.FRM.ISOC.ZS ISO certification ownership (% of firms) ISO certification ownership is the percentage of firms that have earned a quality certification recognized by the International Organization for Standardization (ISO). World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.FRM.OUTG.ZS Value lost due to electrical outages (% of sales) Value lost due to electrical outages is the percentage of sales lost due to power outages. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.FRM.TRNG.ZS Firms offering formal training (% of firms) Firms offering formal training are the percentage of firms offering formal training programs for their permanent, full-time employees. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.GOV.DURS.ZS Management time dealing with officials (% of management time) Time dealing with officials is the percentage of management time in a given week spent on requirements imposed by government regulations (taxes, customs, labor regulations, licensing and registration). World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.IMP.COST.CD Cost to import (US$ per container) Cost measures the fees levied on a 20-foot container in U.S. dollars. All the fees associated with completing the procedures to export or import the goods are included. These include costs for documents, administrative fees for customs clearance and techn World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.IMP.DOCS Documents to import (number) All documents required per shipment to import goods are recorded. It is assumed that the contract has already been agreed upon and signed by both parties. Documents required for clearance by government ministries, customs authorities, port and container t World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.IMP.DURS Time to import (days) Time is recorded in calendar days. The time calculation for a procedure starts from the moment it is initiated and runs until it is completed. If a procedure can be accelerated for an additional cost, the fastest legal procedure is chosen. It is assumed t World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.ISV.DURS Time to resolve insolvency (years) Time to resolve insolvency is the number of years from the filing for insolvency in court until the resolution of distressed assets. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.LGL.CRED.XQ Strength of legal rights index (0=weak to 10=strong) Strength of legal rights index measures the degree to which collateral and bankruptcy laws protect the rights of borrowers and lenders and thus facilitate lending. The index ranges from 0 to 10, with higher scores indicating that these laws are better des World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.LGL.DURS Time required to enforce a contract (days) Time required to enforce a contract is the number of calendar days from the filing of the lawsuit in court until the final determination and, in appropriate cases, payment. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.LGL.PROC Procedures to enforce a contract (number) Number of procedures to enforce a contract are the number of independent actions, mandated by law or courts, that demand interaction between the parties of a contract or between them and the judge or court officer. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.PRP.DURS Time required to register property (days) Time required to register property is the number of calendar days needed for businesses to secure rights to property. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.PRP.PROC Procedures to register property (number) Number of procedures to register property is the number of procedures required for a businesses to secure rights to property. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.REG.COST.PC.ZS Cost of business start-up procedures (% of GNI per capita) Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.REG.DURS Time required to start a business (days) Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.REG.PROC Start-up procedures to register a business (number) Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific chara World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.TAX.DURS Time to prepare and pay taxes (hours) Time to prepare and pay taxes is the time, in hours per year, it takes to prepare, file, and pay (or withhold) three major types of taxes: the corporate income tax, the value added or sales tax, and labor taxes, including payroll taxes and social security World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.TAX.GIFT.ZS Firms expected to give gifts in meetings with tax officials (% of firms) Firms expected to give gifts in meetings with tax officials is the percentage of firms that answered positively to the question "was a gift or informal payment expected or requested during a meeting with tax officials?" World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.TAX.LABR.CP.ZS Labor tax and contributions (% of commercial profits) Labor tax and contributions is the amount of taxes and mandatory contributions on labor paid by the business. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.TAX.METG Average number of times firms spent in meetings with tax officials Average number of times management met with tax officials is the average number of visits or required meetings with tax officials. World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).

IC.TAX.OTHR.CP.ZS Other taxes payable by businesses (% of commercial profits) Other taxes payable by businesses include the amounts paid for property taxes, turnover taxes, and other small taxes such as municipal fees and vehicle and fuel taxes. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.TAX.PAYM Tax payments (number) Tax payments by businesses are the total number of taxes paid by businesses, including electronic filing. The tax is counted as paid once a year even if payments are more frequent. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.TAX.PRFT.CP.ZS Profit tax (% of commercial profits) Profit tax is the amount of taxes on profits paid by the business. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.TAX.TOTL.CP.ZS Total tax rate (% of commercial profits) Total tax rate measures the amount of taxes and mandatory contributions payable by businesses after accounting for allowable deductions and exemptions as a share of commercial profits. Taxes withheld (such as personal income tax) or collected and remitted World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.WRH.DURS Time required to build a warehouse (days) Time required to build a warehouse is the number of calendar days needed to complete the required procedures for building a warehouse. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen. World Bank, Doing Business project (http://www.doingbusiness.org/).

IC.WRH.PROC Procedures to build a warehouse (number) Number of procedures to build a warehouse is the number of interactions of a company's employees or managers with external parties, including government agency staff, public inspectors, notaries, land registry and cadastre staff, and technical experts apa World Bank, Doing Business project (http://www.doingbusiness.org/).

IE.PPI.ENGY.CD Investment in energy with private participation (current US$) Investment in energy projects with private participation covers infrastructure projects in energy (electricity and natural gas transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets a World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).

IE.PPI.TELE.CD Investment in telecoms with private participation (current US$) Investment in telecom projects with private participation covers infrastructure projects in telecommunications that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of pr World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).

IE.PPI.TRAN.CD Investment in transport with private participation (current US$) Investment in transport projects with private participation covers infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).

IE.PPI.WATR.CD Investment in water and sanitation with private participation (current US$) Investment in water and sanitation projects with private participation covers infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid w World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org).

IP.JRN.ARTC.SC Scientific and technical journal articles Scientific and technical journal articles refer to the number of scientific and engineering articles published in the following fields: physics, biology, chemistry, mathematics, clinical medicine, biomedical research, engineering and technology, and earth National Science Foundation, Science and Engineering Indicators.

IP.PAT.NRES Patent applications, nonresidents Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.

IP.PAT.RESD Patent applications, residents Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.

IP.TMK.AGGD Trademark applications, aggregate direct Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific p World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.

IP.TMK.MDRD Trademark applications, Madrid Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific p World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.

IP.TMK.NRES Trademark applications, direct nonresident Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific p World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.

IP.TMK.RESD Trademark applications, direct resident Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific p World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.

IP.TMK.TOTL Trademark applications, total Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific p World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data.

IQ.CPA.BREG.XQ CPIA business regulatory environment rating (1=low to 6=high) Business regulatory environment assesses the extent to which the legal, regulatory, and policy environments help or hinder private businesses in investing, creating jobs, and becoming more productive. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.DEBT.XQ CPIA debt policy rating (1=low to 6=high) Debt policy assesses whether the debt management strategy is conducive to minimizing budgetary risks and ensuring long-term debt sustainability. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.ECON.XQ CPIA economic management cluster average (1=low to 6=high) The economic management cluster includes macroeconomic management, fiscal policy, and debt policy. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.ENVR.XQ CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) Policy and institutions for environmental sustainability assess the extent to which environmental policies foster the protection and sustainable use of natural resources and the management of pollution. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.FINQ.XQ CPIA quality of budgetary and financial management rating (1=low to 6=high) Quality of budgetary and financial management assesses the extent to which there is a comprehensive and credible budget linked to policy priorities, effective financial management systems, and timely and accurate accounting and fiscal reporting, including World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.FINS.XQ CPIA financial sector rating (1=low to 6=high) Financial sector assesses the structure of the financial sector and the policies and regulations that affect it. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.FISP.XQ CPIA fiscal policy rating (1=low to 6=high) Fiscal policy assesses the short- and medium-term sustainability of fiscal policy (taking into account monetary and exchange rate policy and the sustainability of the public debt) and its impact on growth. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.GNDR.XQ CPIA gender equality rating (1=low to 6=high) Gender equality assesses the extent to which the country has installed institutions and programs to enforce laws and policies that promote equal access for men and women in education, health, the economy, and protection under law. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.HRES.XQ CPIA building human resources rating (1=low to 6=high) Building human resources assesses the national policies and public and private sector service delivery that affect the access to and quality of health and education services, including prevention and treatment of HIV/AIDS, tuberculosis, and malaria. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.IRAI.XQ IDA resource allocation index (1=low to 6=high) IDA Resource Allocation Index is obtained by calculating the average score for each cluster and then by averaging those scores. For each of 16 criteria countries are rated on a scale of 1 (low) to 6 (high). World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.MACR.XQ CPIA macroeconomic management rating (1=low to 6=high) Macroeconomic management assesses the monetary, exchange rate, and aggregate demand policy framework. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.PADM.XQ CPIA quality of public administration rating (1=low to 6=high) Quality of public administration assesses the extent to which civilian central government staff is structured to design and implement government policy and deliver services effectively. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.PRES.XQ CPIA equity of public resource use rating (1=low to 6=high) Equity of public resource use assesses the extent to which the pattern of public expenditures and revenue collection affects the poor and is consistent with national poverty reduction priorities. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.PROP.XQ CPIA property rights and rule-based governance rating (1=low to 6=high) Property rights and rule-based governance assess the extent to which private economic activity is facilitated by an effective legal system and rule-based governance structure in which property and contract rights are reliably respected and enforced. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.PROT.XQ CPIA social protection rating (1=low to 6=high) Social protection and labor assess government policies in social protection and labor market regulations that reduce the risk of becoming poor, assist those who are poor to better manage further risks, and ensure a minimal level of welfare to all people. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.PUBS.XQ CPIA public sector management and institutions cluster average (1=low to 6=high) The public sector management and institutions cluster includes property rights and rule-based governance, quality of budgetary and financial management, efficiency of revenue mobilization, quality of public administration, and transparency, accountability World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.REVN.XQ CPIA efficiency of revenue mobilization rating (1=low to 6=high) Efficiency of revenue mobilization assesses the overall pattern of revenue mobilization--not only the de facto tax structure, but also revenue from all sources as actually collected. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.SOCI.XQ CPIA policies for social inclusion/equity cluster average (1=low to 6=high) The policies for social inclusion and equity cluster includes gender equality, equity of public resource use, building human resources, social protection and labor, and policies and institutions for environmental sustainability. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.STRC.XQ CPIA structural policies cluster average (1=low to 6=high) The structural policies cluster includes trade, financial sector, and business regulatory environment. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.TRAD.XQ CPIA trade rating (1=low to 6=high) Trade assesses how the policy framework fosters trade in goods. World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.CPA.TRAN.XQ CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) Transparency, accountability, and corruption in the public sector assess the extent to which the executive can be held accountable for its use of funds and for the results of its actions by the electorate and by the legislature and judiciary, and the exte World Bank Group, CPIA database (http://www.worldbank.org/ida).

IQ.WEF.CUST.XQ Burden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient) Burden of Customs Procedure measures business executives' perceptions of their country's efficiency of customs procedures. The rating ranges from 1 to 7, with a higher score indicating greater efficiency. Data are from the World Economic Forum's Executive World Economic Forum, Global Competiveness Report and data files.

IQ.WEF.PORT.XQ Quality of port infrastructure, WEF (1=extremely underdeveloped to 7=well developed and efficient by international standards) The Quality of Port Infrastructure measures business executives' perception of their country's port facilities. Data are from the World Economic Forum's Executive Opinion Survey, conducted for 30 years in collaboration with 150 partner institutes. The 200 World Economic Forum, Global Competiveness Report.

IS.AIR.DPRT Air transport, registered carrier departures worldwide Registered carrier departures worldwide are domestic takeoffs and takeoffs abroad of air carriers registered in the country. International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.

IS.AIR.GOOD.MT.K1 Air transport, freight (million ton-km) Air freight is the volume of freight, express, and diplomatic bags carried on each flight stage (operation of an aircraft from takeoff to its next landing), measured in metric tons times kilometers traveled. International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.

IS.AIR.PSGR Air transport, passengers carried Air passengers carried include both domestic and international aircraft passengers of air carriers registered in the country. International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates.

IS.ROD.DESL.KT Road sector diesel fuel consumption (kt of oil equivalent) Diesel is heavy oils used as a fuel for internal combustion in diesel engines. International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

IS.ROD.DESL.PC Road sector diesel fuel consumption per capita (kg of oil equivalent) Diesel is heavy oils used as a fuel for internal combustion in diesel engines. International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

IS.ROD.DNST.K2 Road density (km of road per 100 sq. km of land area) Road density is the ratio of the length of the country's total road network to the country's land area. The road network includes all roads in the country: motorways, highways, main or national roads, secondary or regional roads, and other urban and rural International Road Federation, World Road Statistics and electronic files, except where noted.

IS.ROD.ENGY.KT Road sector energy consumption (kt of oil equivalent) Road sector energy consumption is the total energy used in the road sector including petroleum products, natural gas, electricity, and combustible renewable and waste. International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

IS.ROD.ENGY.PC Road sector energy consumption per capita (kg of oil equivalent) Road sector energy consumption is the total energy used in the road sector including petroleum products, natural gas, electricity, and combustible renewable and waste. International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

IS.ROD.ENGY.ZS Road sector energy consumption (% of total energy consumption) Road sector energy consumption is the total energy used in the road sector including petroleum products, natural gas, electricity, and combustible renewable and waste. Total energy consumption is the total country energy consumption. International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

IS.ROD.GOOD.MT.K6 Roads, goods transported (million ton-km) Goods transported by road are the volume of goods transported by road vehicles, measured in millions of metric tons times kilometers traveled. International Road Federation, World Road Statistics and electronic files, except where noted.

IS.ROD.PAVE.ZS Roads, paved (% of total roads) Paved roads are those surfaced with crushed stone (macadam) and hydrocarbon binder or bituminized agents, with concrete, or with cobblestones, as a percentage of all the country's roads, measured in length. International Road Federation, World Road Statistics and electronic files, except where noted.

IS.ROD.PSGR.K6 Roads, passengers carried (million passenger-km) Passengers carried by road are the number of passengers transported by road times kilometers traveled. International Road Federation, World Road Statistics and electronic files, except where noted.

IS.ROD.SGAS.KT Road sector gasoline fuel consumption (kt of oil equivalent) Gasoline is light hydrocarbon oil use in internal combustion engine such as motor vehicles, excluding aircraft. International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

IS.ROD.SGAS.PC Road sector gasoline fuel consumption per capita (kg of oil equivalent) Gasoline is light hydrocarbon oil use in internal combustion engine such as motor vehicles, excluding aircraft. International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp).

IS.ROD.TOTL.KM Roads, total network (km) Total road network includes motorways, highways, and main or national roads, secondary or regional roads, and all other roads in a country. A motorway is a road designed and built for motor traffic that separates the traffic flowing in opposite directions International Road Federation, World Road Statistics and electronic files, except where noted.

IS.RRS.GOOD.MT.K6 Railways, goods transported (million ton-km) Goods transported by railway are the volume of goods transported by railway, measured in metric tons times kilometers traveled. World Bank, Transportation, Water, and Information and Communications Technologies Department, Transport Division.

IS.RRS.PASG.KM Railways, passengers carried (million passenger-km) Passengers carried by railway are the number of passengers transported by rail times kilometers traveled. World Bank, Transportation, Water, and Information and Communications Technologies Department, Transport Division.

IS.RRS.TOTL.KM Rail lines (total route-km) Rail lines are the length of railway route available for train service, irrespective of the number of parallel tracks. World Bank, Transportation, Water, and Information and Communications Technologies Department, Transport Division.

IS.SHP.GCNW.XQ Liner shipping connectivity index (maximum value in 2004 = 100) The Liner Shipping Connectivity Index captures how well countries are connected to global shipping networks. It is computed by the United Nations Conference on Trade and Development (UNCTAD) based on five components of the maritime transport sector: numbe United Nations Conference on Trade and Development, Review of Maritime Transport 2010.

IS.SHP.GOOD.TU Container port traffic (TEU: 20 foot equivalent units) Port container traffic measures the flow of containers from land to sea transport modes., and vice versa, in twenty-foot equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment tr Containerisation International, Containerisation International Yearbook.

IS.VEH.NVEH.P3 Motor vehicles (per 1,000 people) Motor vehicles include cars, buses, and freight vehicles but do not include two-wheelers. Population refers to midyear population in the year for which data are available. International Road Federation, World Road Statistics and data files.

IS.VEH.PCAR.P3 Passenger cars (per 1,000 people) Passenger cars refer to road motor vehicles, other than two-wheelers, intended for the carriage of passengers and designed to seat no more than nine people (including the driver). International Road Federation, World Road Statistics and data files.

IS.VEH.ROAD.K1 Vehicles (per km of road) Vehicles per kilometer of road include cars, buses, and freight vehicles but do not include two-wheelers. Roads refer to motorways, highways, main or national roads, secondary or regional roads, and other roads. A motorway is a road specially designed and International Road Federation, World Road Statistics and data files.

IT.CEL.SETS Mobile cellular subscriptions Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service using cellular technology, which provide access to the public switched telephone network. Post-paid and prepaid subscriptions are included. International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.

IT.CEL.SETS.P2 Mobile cellular subscriptions (per 100 people) Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service using cellular technology, which provide access to the public switched telephone network. Post-paid and prepaid subscriptions are included. International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.

IT.MLT.MAIN Telephone lines Telephone lines are fixed telephone lines that connect a subscriber's terminal equipment to the public switched telephone network and that have a port on a telephone exchange. Integrated services digital network channels ands fixed wireless subscribers ar International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.

IT.MLT.MAIN.P2 Telephone lines (per 100 people) Telephone lines are fixed telephone lines that connect a subscriber's terminal equipment to the public switched telephone network and that have a port on a telephone exchange. Integrated services digital network channels ands fixed wireless subscribers ar International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.

IT.NET.BBND Fixed broadband Internet subscribers Fixed broadband Internet subscribers are the number of broadband subscribers with a digital subscriber line, cable modem, or other high-speed technology. International Telecommunication Union, World Telecommunication/ICT Development Report and database.

IT.NET.BBND.P2 Fixed broadband Internet subscribers (per 100 people) Fixed broadband Internet subscribers are the number of broadband subscribers with a digital subscriber line, cable modem, or other high-speed technology. International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.

IT.NET.SECR Secure Internet servers Secure servers are servers using encryption technology in Internet transactions. Netcraft (http://www.netcraft.com/).

IT.NET.SECR.P6 Secure Internet servers (per 1 million people) Secure servers are servers using encryption technology in Internet transactions. Netcraft (http://www.netcraft.com/) and World Bank population estimates.

IT.NET.USER Internet users Internet users are people with access to the worldwide network. International Telecommunication Union, World Telecommunication/ICT Development Report and database.

IT.NET.USER.P2 Internet users (per 100 people) Internet users are people with access to the worldwide network. International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.

IT.PRT.NEWS.P3 Daily newspapers (per 1,000 people) Daily newspapers refer to those published at least four times a week and calculated as average circulation (or copies printed) per 1,000 people. United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.

IT.TEL.TOTL.P2 Mobile and fixed-line telephone subscribers (per 100 people) Fixed line and mobile cellular subscriptions are total telephone subscriptions (fixed line plus mobile). Fixed telephone lines are those that connect a subscriber's terminal equipment to the public switched telephone network and that have a port on a tele International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates.

LP.EXP.DURS.MD Lead time to export, median case (days) Lead time to export is the median time (the value for 50 percent of shipments) from shipment point to port of loading. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of shipments) a World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The

LP.IMP.DURS.MD Lead time to import, median case (days) Lead time to import is the median time (the value for 50 percent of shipments) from port of discharge to arrival at the consignee. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The

LP.LPI.CUST.XQ Logistics performance index: Efficiency of customs clearance process (1=low to 5=high) Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,0 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The

LP.LPI.INFR.XQ Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,0 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The

LP.LPI.ITRN.XQ Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high) Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,0 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The

LP.LPI.LOGS.XQ Logistics performance index: Competence and quality of logistics services (1=low to 5=high) Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,0 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The

LP.LPI.OVRL.XQ Logistics performance index: Overall (1=low to 5=high) Logistics Performance Index overall score reflects perceptions of a country's logistics based on efficiency of customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The

LP.LPI.TIME.XQ Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high) Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,0 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The

LP.LPI.TRAC.XQ Logistics performance index: Ability to track and trace consignments (1=low to 5=high) Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,0 World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The

MS.MIL.MPRT.KD Arms imports (constant 1990 US$) Arms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Data cover major conventional weapons such as aircraft, armored vehicles, artillery, radar systems, missiles, and ships designed Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.

MS.MIL.TOTL.P1 Armed forces personnel, total Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. International Institute for Strategic Studies, The Military Balance.

MS.MIL.TOTL.TF.ZS Armed forces personnel (% of total labor force) Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. Labor force comprises all people who mee International Institute for Strategic Studies, The Military Balance.

MS.MIL.XPND.CN Military expenditure (current LCU) Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense project Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.

MS.MIL.XPND.GD.ZS Military expenditure (% of GDP) Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense project Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.

MS.MIL.XPND.ZS Military expenditure (% of central government expenditure) Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense project Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.

MS.MIL.XPRT.KD Arms exports (constant 1990 US$) Arms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Data cover major conventional weapons such as aircraft, armored vehicles, artillery, radar systems, missiles, and ships designed Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.

NE.CON.GOVT.CD General government final consumption expenditure (current US$) General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on nation World Bank national accounts data, and OECD National Accounts data files.

NE.CON.GOVT.CN General government final consumption expenditure (current LCU) General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on nation World Bank national accounts data, and OECD National Accounts data files.

NE.CON.GOVT.KD General government final consumption expenditure (constant 2000 US$) General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on nation World Bank national accounts data, and OECD National Accounts data files.

NE.CON.GOVT.KD.ZG General government final consumption expenditure (annual % growth) Annual percentage growth of general government final consumption expenditure based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. General government final consumption expenditure (general government consumption) includes a World Bank national accounts data, and OECD National Accounts data files.

NE.CON.GOVT.KN General government final consumption expenditure (constant LCU) General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on nation World Bank national accounts data, and OECD National Accounts data files.

NE.CON.GOVT.ZS General government final consumption expenditure (% of GDP) General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on nation World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PETC.CD Household final consumption expenditure, etc. (current US$) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PETC.CN Household final consumption expenditure, etc. (current LCU) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PETC.KD Household final consumption expenditure, etc. (constant 2000 US$) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PETC.KD.ZG Household final consumption expenditure, etc. (annual % growth) Annual percentage growth of household final consumption expenditure is based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Household final consumption expenditure (formerly private consumption) is the market value of all World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PETC.KN Household final consumption expenditure, etc. (constant LCU) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PETC.ZS Household final consumption expenditure, etc. (% of GDP) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PRVT.CD Household final consumption expenditure (current US$) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PRVT.CN Household final consumption expenditure (current LCU) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PRVT.KD Household final consumption expenditure (constant 2000 US$) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PRVT.KD.ZG Household final consumption expenditure (annual % growth) Annual percentage growth of household final consumption expenditure based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Household final consumption expenditure (formerly private consumption) is the market value of all goo World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PRVT.KN Household final consumption expenditure (constant LCU) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PRVT.PC.KD Household final consumption expenditure per capita (constant 2000 US$) Household final consumption expenditure per capita (private consumption per capita) is calculated using private consumption in constant 2000 prices and World Bank population estimates. Household final consumption expenditure is the market value of all goo World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PRVT.PC.KD.ZG Household final consumption expenditure per capita growth (annual %) Annual percentage growth of household final consumption expenditure per capita, which is calculated using household final consumption expenditure in constant 2000 prices and World Bank population estimates. Household final consumption expenditure (private World Bank national accounts data, and OECD National Accounts data files.

NE.CON.PRVT.PP.CD Household final consumption expenditure, PPP (current international $) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli World Bank, International Comparison Program database.

NE.CON.PRVT.PP.KD Household final consumption expenditure, PPP (constant 2005 international $) Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli World Bank, International Comparison Program database.

NE.CON.TETC.CD Final consumption expenditure, etc. (current US$) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). This estimate includes any statis World Bank national accounts data, and OECD National Accounts data files.

NE.CON.TETC.CN Final consumption expenditure, etc. (current LCU) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate i World Bank national accounts data, and OECD National Accounts data files.

NE.CON.TETC.KD Final consumption expenditure, etc. (constant 2000 US$) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate i World Bank national accounts data, and OECD National Accounts data files.

NE.CON.TETC.KD.ZG Final consumption expenditure, etc. (annual % growth) Average annual growth of final consumption expenditure based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure ( World Bank national accounts data, and OECD National Accounts data files.

NE.CON.TETC.KN Final consumption expenditure, etc. (constant LCU) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate i World Bank national accounts data, and OECD National Accounts data files.

NE.CON.TETC.ZS Final consumption expenditure, etc. (% of GDP) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). This estimate includes any statis World Bank national accounts data, and OECD National Accounts data files.

NE.CON.TOTL.CD Final consumption expenditure (current US$) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.

NE.CON.TOTL.CN Final consumption expenditure (current LCU) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). Data are in current local currenc World Bank national accounts data, and OECD National Accounts data files.

NE.CON.TOTL.KD Final consumption expenditure (constant 2000 US$) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). Data are in con World Bank national accounts data, and OECD National Accounts data files.

NE.CON.TOTL.KN Final consumption expenditure (constant LCU) Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). Data are in con World Bank national accounts data, and OECD National Accounts data files.

NE.DAB.DEFL.ZS Gross national expenditure deflator (base year varies by country) Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital f World Bank national accounts data, and OECD National Accounts data files.

NE.DAB.TOTL.CD Gross national expenditure (current US$) Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital f World Bank national accounts data, and OECD National Accounts data files.

NE.DAB.TOTL.CN Gross national expenditure (current LCU) Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital f World Bank national accounts data, and OECD National Accounts data files.

NE.DAB.TOTL.KD Gross national expenditure (constant 2000 US$) Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital f World Bank national accounts data, and OECD National Accounts data files.

NE.DAB.TOTL.KN Gross national expenditure (constant LCU) Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital f World Bank national accounts data, and OECD National Accounts data files.

NE.DAB.TOTL.ZS Gross national expenditure (% of GDP) Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital f World Bank national accounts data, and OECD National Accounts data files.

NE.EXP.GNFS.CD Exports of goods and services (current US$) Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as World Bank national accounts data, and OECD National Accounts data files.

NE.EXP.GNFS.CN Exports of goods and services (current LCU) Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as World Bank national accounts data, and OECD National Accounts data files.

NE.EXP.GNFS.KD Exports of goods and services (constant 2000 US$) Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as World Bank national accounts data, and OECD National Accounts data files.

NE.EXP.GNFS.KD.ZG Exports of goods and services (annual % growth) Annual growth rate of exports of goods and services based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Exports of goods and services represent the value of all goods and other market services provided to the rest of the World Bank national accounts data, and OECD National Accounts data files.

NE.EXP.GNFS.KN Exports of goods and services (constant LCU) Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as World Bank national accounts data, and OECD National Accounts data files.

NE.EXP.GNFS.ZS Exports of goods and services (% of GDP) Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.FPRV.CN Gross fixed capital formation, private sector (current LCU) Private investment covers gross outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets. World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.FPRV.ZS Gross fixed capital formation, private sector (% of GDP) Private investment covers gross outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets. World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.FTOT.CD Gross fixed capital formation (current US$) Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.FTOT.CN Gross fixed capital formation (current LCU) Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.FTOT.KD Gross fixed capital formation (constant 2000 US$) Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.FTOT.KD.ZG Gross fixed capital formation (annual % growth) Average annual growth of gross fixed capital formation based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditch World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.FTOT.KN Gross fixed capital formation (constant LCU) Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.FTOT.ZS Gross fixed capital formation (% of GDP) Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.STKB.CD Changes in inventories (current US$) Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.STKB.CN Changes in inventories (current LCU) Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.STKB.KN Changes in inventories (constant LCU) Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.TOTL.CD Gross capital formation (current US$) Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); pla World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.TOTL.CN Gross capital formation (current LCU) Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); pla World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.TOTL.KD Gross capital formation (constant 2000 US$) Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); pla World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.TOTL.KD.ZG Gross capital formation (annual % growth) Annual growth rate of gross capital formation based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the ec World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.TOTL.KN Gross capital formation (constant LCU) Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); pla World Bank national accounts data, and OECD National Accounts data files.

NE.GDI.TOTL.ZS Gross capital formation (% of GDP) Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); pla World Bank national accounts data, and OECD National Accounts data files.

NE.IMP.GNFS.CD Imports of goods and services (current US$) Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such a World Bank national accounts data, and OECD National Accounts data files.

NE.IMP.GNFS.CN Imports of goods and services (current LCU) Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such a World Bank national accounts data, and OECD National Accounts data files.

NE.IMP.GNFS.KD Imports of goods and services (constant 2000 US$) Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such a World Bank national accounts data, and OECD National Accounts data files.

NE.IMP.GNFS.KD.ZG Imports of goods and services (annual % growth) Annual growth rate of imports of goods and services based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Imports of goods and services represent the value of all goods and other market services received from the rest of th World Bank national accounts data, and OECD National Accounts data files.

NE.IMP.GNFS.KN Imports of goods and services (constant LCU) Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such a World Bank national accounts data, and OECD National Accounts data files.

NE.IMP.GNFS.ZS Imports of goods and services (% of GDP) Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such a World Bank national accounts data, and OECD National Accounts data files.

NE.RSB.GNFS.CD External balance on goods and services (current US$) External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.

NE.RSB.GNFS.CN External balance on goods and services (current LCU) External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.

NE.RSB.GNFS.KN External balance on goods and services (constant LCU) External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.

NE.RSB.GNFS.ZS External balance on goods and services (% of GDP) External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). World Bank national accounts data, and OECD National Accounts data files.

NE.TRD.GNFS.ZS Trade (% of GDP) Trade is the sum of exports and imports of goods and services measured as a share of gross domestic product. World Bank national accounts data, and OECD National Accounts data files.

NV.AGR.TOTL.CD Agriculture, value added (current US$) Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. World Bank national accounts data, and OECD National Accounts data files.

NV.AGR.TOTL.CN Agriculture, value added (current LCU) Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. World Bank national accounts data, and OECD National Accounts data files.

NV.AGR.TOTL.KD Agriculture, value added (constant 2000 US$) Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. World Bank national accounts data, and OECD National Accounts data files.

NV.AGR.TOTL.KD.ZG Agriculture, value added (annual % growth) Annual growth rate for agricultural value added based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crop World Bank national accounts data, and OECD National Accounts data files.

NV.AGR.TOTL.KN Agriculture, value added (constant LCU) Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. World Bank national accounts data, and OECD National Accounts data files.

NV.AGR.TOTL.ZS Agriculture, value added (% of GDP) Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. World Bank national accounts data, and OECD National Accounts data files.

NV.IND.MANF.CD Manufacturing, value added (current US$) Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated asse World Bank national accounts data, and OECD National Accounts data files.

NV.IND.MANF.CN Manufacturing, value added (current LCU) Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated asse World Bank national accounts data, and OECD National Accounts data files.

NV.IND.MANF.KD Manufacturing, value added (constant 2000 US$) Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated asse World Bank national accounts data, and OECD National Accounts data files.

NV.IND.MANF.KD.ZG Manufacturing, value added (annual % growth) Annual growth rate for manufacturing value added based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after ad World Bank national accounts data, and OECD National Accounts data files.

NV.IND.MANF.KN Manufacturing, value added (constant LCU) Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated asse World Bank national accounts data, and OECD National Accounts data files.

NV.IND.MANF.ZS Manufacturing, value added (% of GDP) Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated asse World Bank national accounts data, and OECD National Accounts data files.

NV.IND.TOTL.CD Industry, value added (current US$) Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net out World Bank national accounts data, and OECD National Accounts data files.

NV.IND.TOTL.CN Industry, value added (current LCU) Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net out World Bank national accounts data, and OECD National Accounts data files.

NV.IND.TOTL.KD Industry, value added (constant 2000 US$) Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net out World Bank national accounts data, and OECD National Accounts data files.

NV.IND.TOTL.KD.ZG Industry, value added (annual % growth) Annual growth rate for industrial value added based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in World Bank national accounts data, and OECD National Accounts data files.

NV.IND.TOTL.KN Industry, value added (constant LCU) Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net out World Bank national accounts data, and OECD National Accounts data files.

NV.IND.TOTL.ZS Industry, value added (% of GDP) Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net out World Bank national accounts data, and OECD National Accounts data files.

NV.MNF.CHEM.ZS.UN Chemicals (% of value added in manufacturing) Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Chemicals comprise ISIC groups 351 and 352. United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.

NV.MNF.FBTO.ZS.UN Food, beverages and tobacco (% of value added in manufacturing) Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Food, beverages, and tobacco comprise ISIC division 31. United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.

NV.MNF.MTRN.ZS.UN Machinery and transport equipment (% of value added in manufacturing) Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Machinery and transport equipment comprise ISIC groups 382-84. United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.

NV.MNF.OTHR.ZS.UN Other manufacturing (% of value added in manufacturing) Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Other manufacturing includes wood and related products (division 33), paper and paper-rela United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.

NV.MNF.TXTL.ZS.UN Textiles and clothing (% of value added in manufacturing) Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Textiles and clothing comprise ISIC division 32. United Nations Industrial Development Organization, International Yearbook of Industrial Statistics.

NV.SRV.TETC.CD Services, etc., value added (current US$) Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real esta World Bank national accounts data, and OECD National Accounts data files.

NV.SRV.TETC.CN Services, etc., value added (current LCU) Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real esta World Bank national accounts data, and OECD National Accounts data files.

NV.SRV.TETC.KD Services, etc., value added (constant 2000 US$) Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real esta World Bank national accounts data, and OECD National Accounts data files.

NV.SRV.TETC.KD.ZG Services, etc., value added (annual % growth) Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and World Bank national accounts data, and OECD National Accounts data files.

NV.SRV.TETC.KN Services, etc., value added (constant LCU) Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real esta World Bank national accounts data, and OECD National Accounts data files.

NV.SRV.TETC.ZS Services, etc., value added (% of GDP) Services correspond to ISIC divisions 50-99 and they include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real e World Bank national accounts data, and OECD National Accounts data files.

NY.ADJ.AEDU.CD Adjusted savings: education expenditure (current US$) Education expenditure refers to the current operating expenditures in education, including wages and salaries and excluding capital investments in buildings and equipment. World Bank staff estimates using data from the United Nations Statistics Division's Statistical Yearbook, and the UNESCO Institute for Statistics online database.

NY.ADJ.AEDU.GN.ZS Adjusted savings: education expenditure (% of GNI) Education expenditure refers to the current operating expenditures in education, including wages and salaries and excluding capital investments in buildings and equipment. World Bank staff estimates using data from the United Nations Statistics Division's Statistical Yearbook, and the UNESCO Institute for Statistics online database.

NY.ADJ.DCO2.CD Adjusted savings: carbon dioxide damage (current US$) Carbon dioxide damage is estimated to be $20 per ton of carbon (the unit damage in 1995 U.S. dollars) times the number of tons of carbon emitted. World Bank staff estimates based on Samuel Fankhauser's "Valuing Climate Change: The Economics of the Greenhouse" (1995).

NY.ADJ.DCO2.GN.ZS Adjusted savings: carbon dioxide damage (% of GNI) Carbon dioxide damage is estimated to be $20 per ton of carbon (the unit damage in 1995 U.S. dollars) times the number of tons of carbon emitted. World Bank staff estimates based on Samuel Fankhauser's "Valuing Climate Change: The Economics of the Greenhouse" (1995).

NY.ADJ.DFOR.CD Adjusted savings: net forest depletion (current US$) Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.DFOR.GN.ZS Adjusted savings: net forest depletion (% of GNI) Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.DKAP.CD Adjusted savings: consumption of fixed capital (current US$) Consumption of fixed capital represents the replacement value of capital used up in the process of production. World Bank staff estimates using data from the United Nations Statistics Division's National Accounts Statistics.

NY.ADJ.DKAP.GN.ZS Adjusted savings: consumption of fixed capital (% of GNI) Consumption of fixed capital represents the replacement value of capital used up in the process of production. World Bank staff estimates using data from the United Nations Statistics Division's National Accounts Statistics.

NY.ADJ.DMIN.CD Adjusted savings: mineral depletion (current US$) Mineral depletion is the ratio of the value of the stock of mineral resources to the remaining reserve lifetime (capped at 25 years). It covers tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.DMIN.GN.ZS Adjusted savings: mineral depletion (% of GNI) Mineral depletion is the ratio of the value of the stock of mineral resources to the remaining reserve lifetime (capped at 25 years). It covers tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.DNGY.CD Adjusted savings: energy depletion (current US$) Energy depletion is the ratio of the value of the stock of energy resources to the remaining reserve lifetime (capped at 25 years). It covers coal, crude oil, and natural gas. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.DNGY.GN.ZS Adjusted savings: energy depletion (% of GNI) Energy depletion is the ratio of the value of the stock of energy resources to the remaining reserve lifetime (capped at 25 years). It covers coal, crude oil, and natural gas. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.DPEM.CD Adjusted savings: particulate emission damage (current US$) Particulate emissions damage is calculated as the willingness to pay to avoid mortality attributable to particulate emissions. Kiran D. Pandey and others' "The Human Costs of Air Pollution: New Estimates for Developing Countries" (working paper).

NY.ADJ.DPEM.GN.ZS Adjusted savings: particulate emission damage (% of GNI) Particulate emissions damage is calculated as the willingness to pay to avoid mortality attributable to particulate emissions. Kiran D. Pandey and others' "The Human Costs of Air Pollution: New Estimates for Developing Countries" (working paper).

NY.ADJ.DRES.GN.ZS Adjusted savings: natural resources depletion (% of GNI) Natural resource depletion is the sum of net forest depletion, energy depletion, and mineral depletion. Net forest depletion is unit resource rents times the excess of roundwood harvest over natural growth. Energy depletion is the ratio of the value of th World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.ICTR.GN.ZS Adjusted savings: gross savings (% of GNI) Gross savings are the difference between gross national income and public and private consumption, plus net current transfers. World Bank national accounts data files.

NY.ADJ.NNAT.CD Adjusted savings: net national savings (current US$) Net national savings are equal to gross national savings less the value of consumption of fixed capital. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.NNAT.GN.ZS Adjusted savings: net national savings (% of GNI) Net national savings are equal to gross national savings less the value of consumption of fixed capital. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.NNTY.CD Adjusted net national income (current US$) Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.NNTY.KD Adjusted net national income (constant 2000 US$) Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.NNTY.KD.ZG Adjusted net national income (annual % growth) Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.SVNG.CD Adjusted net savings, including particulate emission damage (current US$) Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.SVNG.GN.ZS Adjusted net savings, including particulate emission damage (% of GNI) Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.SVNX.CD Adjusted net savings, excluding particulate emission damage (current US$) Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.ADJ.SVNX.GN.ZS Adjusted net savings, excluding particulate emission damage (% of GNI) Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage. World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011).

NY.EXP.CAPM.KN Exports as a capacity to import (constant LCU) Exports as a capacity to import equals the current price value of exports of goods and services deflated by the import price index. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.COAL.RT.ZS Coal rents (% of GDP) Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production. Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).

NY.GDP.DEFL.KD.ZG Inflation, GDP deflator (annual %) Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.DEFL.ZS GDP deflator (base year varies by country) The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country. World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.DISC.CN Discrepancy in expenditure estimate of GDP (current LCU) Discrepancy in expenditure estimate of GDP is the discrepancy included in final consumption expenditure, etc. (total consumption, etc.). This discrepancy is included to ensure that GDP from the expenditure side equals GDP measured by the income or output World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.DISC.KN Discrepancy in expenditure estimate of GDP (constant LCU) A statistical discrepancy usually arises when the GDP components are estimated independently by industrial origin and by expenditure categories. This item represents the discrepancy in the use of resources (i.e., the estimate of GDP by expenditure catego World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.FCST.CD Gross value added at factor cost (current US$) Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor c World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.FCST.CN Gross value added at factor cost (current LCU) Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor c World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.FCST.KD Gross value added at factor cost (constant 2000 US$) Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor c World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.FCST.KN Gross value added at factor cost (constant LCU) Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor c World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.FRST.RT.ZS Forest rents (% of GDP) Forest rents are roundwood harvest times the product of average prices and a region-specific rental rate. Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).

NY.GDP.MINR.RT.ZS Mineral rents (% of GDP) Mineral rents are the difference between the value of production for a stock of minerals at world prices and their total costs of production. Minerals included in the calculation are tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosph Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).

NY.GDP.MKTP.CD GDP (current US$) GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fab World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.MKTP.CN GDP (current LCU) GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fab World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.MKTP.KD GDP (constant 2000 US$) GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fab World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.MKTP.KD.ZG GDP growth (annual %) Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any s World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.MKTP.KN GDP (constant LCU) GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.MKTP.PP.CD GDP, PPP (current international $) PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by al World Bank, International Comparison Program database.

NY.GDP.MKTP.PP.KD GDP, PPP (constant 2005 international $) PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by al World Bank, International Comparison Program database.

NY.GDP.NGAS.RT.ZS Natural gas rents (% of GDP) Natural gas rents are the difference between the value of natural gas production at world prices and total costs of production. Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).

NY.GDP.PCAP.CD GDP per capita (current US$) GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.PCAP.KD GDP per capita (constant 2000 US$) GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.PCAP.KD.ZG GDP per capita growth (annual %) Annual percentage growth rate of GDP per capita based on constant local currency. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy pl World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.PCAP.KN GDP per capita (constant LCU) GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the prod World Bank national accounts data, and OECD National Accounts data files.

NY.GDP.PCAP.PP.CD GDP per capita, PPP (current international $) GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the U World Bank, International Comparison Program database.

NY.GDP.PCAP.PP.KD GDP per capita, PPP (constant 2005 international $) GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the U World Bank, International Comparison Program database.

NY.GDP.PETR.RT.ZS Oil rents (% of GDP) Oil rents are the difference between the value of crude oil production at world prices and total costs of production. Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).

NY.GDP.TOTL.RT.ZS Total natural resources rents (% of GDP) Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents. Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).

NY.GDS.TOTL.CD Gross domestic savings (current US$) Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.

NY.GDS.TOTL.CN Gross domestic savings (current LCU) Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.

NY.GDS.TOTL.KN Gross domestic savings (constant LCU) Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.

NY.GDS.TOTL.ZS Gross domestic savings (% of GDP) Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). World Bank national accounts data, and OECD National Accounts data files.

NY.GDY.TOTL.KD Gross domestic income (constant 2000 US$) Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant 2000 U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.

NY.GDY.TOTL.KN Gross domestic income (constant LCU) Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.

NY.GNP.ATLS.CD GNI, Atlas method (current US$) GNI, Atlas method (current US$) World Bank

NY.GNP.MKTP.CD GNI (current US$) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data ar World Bank national accounts data, and OECD National Accounts data files.

NY.GNP.MKTP.CN GNI (current LCU) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data ar World Bank national accounts data, and OECD National Accounts data files.

NY.GNP.MKTP.KD GNI (constant 2000 US$) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data ar World Bank national accounts data, and OECD National Accounts data files.

NY.GNP.MKTP.KD.ZG GNI growth (annual %) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. World Bank national accounts data, and OECD National Accounts data files.

NY.GNP.MKTP.KN GNI (constant LCU) GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data ar World Bank national accounts data, and OECD National Accounts data files.

NY.GNP.MKTP.PP.CD GNI, PPP (current international $) PPP GNI (formerly PPP GNP) is gross national income converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in the United States. Gross national income (GN World Bank, International Comparison Program database.

NY.GNP.PCAP.CD GNI per capita, Atlas method (current US$) GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less sub World Bank national accounts data, and OECD National Accounts data files.

NY.GNP.PCAP.KD GNI per capita (constant 2000 US$) GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary inco World Bank national accounts data, and OECD National Accounts data files.

NY.GNP.PCAP.KD.ZG GNI per capita growth (annual %) GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary inco World Bank national accounts data, and OECD National Accounts data files.

NY.GNP.PCAP.KN GNI per capita (constant LCU) GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary inco World Bank national accounts data, and OECD National Accounts data files.

NY.GNP.PCAP.PP.CD GNI per capita, PPP (current international $) GNI per capita based on purchasing power parity (PPP). PPP GNI is gross national income (GNI) converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in th World Bank, International Comparison Program database.

NY.GNS.ICTR.CD Gross savings (current US$) Gross savings are calculated as gross national income less total consumption, plus net transfers. Data are in current U.S. dollars. World Bank national accounts data, and OECD National Accounts data files.

NY.GNS.ICTR.CN Gross savings (current LCU) Gross savings are calculated as gross national income less total consumption, plus net transfers. Data are in current local currency. World Bank national accounts data, and OECD National Accounts data files.

NY.GNS.ICTR.GN.ZS Gross savings (% of GNI) Gross savings are calculated as gross national income less total consumption, plus net transfers. World Bank national accounts data, and OECD National Accounts data files.

NY.GNS.ICTR.ZS Gross savings (% of GDP) Gross savings are calculated as gross national income less total consumption, plus net transfers. World Bank national accounts data, and OECD National Accounts data files.

NY.GNY.TOTL.KN Gross national income (constant LCU) Gross national income is derived as the sum of GNP and the terms of trade adjustment. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.

NY.GSR.NFCY.CD Net income from abroad (current US$) Net income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ow World Bank national accounts data, and OECD National Accounts data files.

NY.GSR.NFCY.CN Net income from abroad (current LCU) Net income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ow World Bank national accounts data, and OECD National Accounts data files.

NY.GSR.NFCY.KN Net income from abroad (constant LCU) Net income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ow World Bank national accounts data, and OECD National Accounts data files.

NY.TAX.NIND.CD Net taxes on products (current US$) Net taxes on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current World Bank national accounts data, and OECD National Accounts data files.

NY.TAX.NIND.CN Net taxes on products (current LCU) Net taxes on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current World Bank national accounts data, and OECD National Accounts data files.

NY.TAX.NIND.KN Net taxes on products (constant LCU) Net taxes on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current World Bank national accounts data, and OECD National Accounts data files.

NY.TRF.NCTR.CD Net current transfers from abroad (current US$) Current transfers comprise transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents World Bank national accounts data, and OECD National Accounts data files.

NY.TRF.NCTR.CN Net current transfers from abroad (current LCU) Current transfers comprise transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents World Bank national accounts data, and OECD National Accounts data files.

NY.TRF.NCTR.KN Net current transfers from abroad (constant LCU) Current transfers comprise transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents World Bank national accounts data, and OECD National Accounts data files.

NY.TTF.GNFS.KN Terms of trade adjustment (constant LCU) The terms of trade effect equals capacity to import less exports of goods and services in constant prices. Data are in constant local currency. World Bank national accounts data, and OECD National Accounts data files.

PA.NUS.ATLS DEC alternative conversion factor (LCU per US$) The DEC alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method. As a rule, it is the official exchange rate reported in the IMF's International Financial Statistics (line rf). Exceptions arise where furth International Monetary Fund, International Financial Statistics, supplemented by World Bank staff estimates.

PA.NUS.FCRF Official exchange rate (LCU per US$, period average) Official exchange rate refers to the exchange rate determined by national authorities or to the rate determined in the legally sanctioned exchange market. It is calculated as an annual average based on monthly averages (local currency units relative to th International Monetary Fund, International Financial Statistics.

PA.NUS.PPP PPP conversion factor, GDP (LCU per international $) Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amounts of goods and services in the domestic market as U.S. dollar would buy in the United States. This conversion factor is for GDP. World Bank, International Comparison Program database.

PA.NUS.PPPC.RF PPP conversion factor (GDP) to market exchange rate ratio Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amount of goods and services in the domestic market as a U.S. dollar would buy in the United States. The ratio of PPP conversion factor to ma World Bank, International Comparison Program database.

PA.NUS.PRVT.PP PPP conversion factor, private consumption (LCU per international $) Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amounts of goods and services in the domestic market as U.S. dollar would buy in the United States. This conversion factor is for private con World Bank, International Comparison Program database.

PX.REX.REER Real effective exchange rate index (2005 = 100) Real effective exchange rate is the nominal effective exchange rate (a measure of the value of a currency against a weighted average of several foreign currencies) divided by a price deflator or index of costs. International Monetary Fund, International Financial Statistics.

SE.ADT.1524.LT.FE.ZS Literacy rate, youth female (% of females ages 15-24) Youth (15-24) literacy rate (%). Female is the number of females age 15 to 24 years who can both read and write with understanding a short simple statement on their everyday life, divided by the female population in that age group. Generally, ‘literacy’ a UNESCO Institute for Statistics

SE.ADT.1524.LT.FM.ZS Ratio of young literate females to males (% ages 15-24) Gender parity index for youth literacy rate is the ratio of female youth literacy rate to male youth literacy rate. It is calculated by dividing the female value for the indicator by the male value for the indicator. A GPI equal to 1 indicates parity betw UNESCO Institute for Statistics

SE.ADT.1524.LT.MA.ZS Literacy rate, youth male (% of males ages 15-24) Youth (15-24) literacy rate (%). Male is the number of males age 15 to 24 years who can both read and write with understanding a short simple statement on their everyday life, divided by the male population in that age group. Generally, ‘literacy’ also en UNESCO Institute for Statistics

SE.ADT.1524.LT.ZS Literacy rate, youth total (% of people ages 15-24) Youth (15-24) literacy rate (%). Total is the number of people age 15 to 24 years who can both read and write with understanding a short simple statement on their everyday life, divided by the population in that age group. Generally, ‘literacy’ also encom UNESCO Institute for Statistics

SE.ADT.LITR.FE.ZS Literacy rate, adult female (% of females ages 15 and above) Adult (15+) literacy rate (%). Female is the percentage of females age 15 and above who can, with understanding, read and write a short, simple statement on their everyday life. Generally, ‘literacy’ also encompasses ‘numeracy’, the ability to make simple UNESCO Institute for Statistics

SE.ADT.LITR.MA.ZS Literacy rate, adult male (% of males ages 15 and above) Adult (15+) literacy rate (%). Male is the percentage of males age 15 and above who can, with understanding, read and write a short, simple statement on their everyday life. Generally, ‘literacy’ also encompasses ‘numeracy’, the ability to make simple ari UNESCO Institute for Statistics

SE.ADT.LITR.ZS Literacy rate, adult total (% of people ages 15 and above) Adult (15+) literacy rate (%). Total is the percentage of the population age 15 and above who can, with understanding, read and write a short, simple statement on their everyday life. Generally, ‘literacy’ also encompasses ‘numeracy’, the ability to make UNESCO Institute for Statistics

SE.ENR.PRIM.FM.ZS Ratio of female to male primary enrollment (%) Ratio of female to male primary enrollment is the percentage of girls to boys enrolled at primary level in public and private schools. United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.

SE.ENR.PRSC.FM.ZS Ratio of girls to boys in primary and secondary education (%) Ratio of girls to boys in primary and secondary education is the percentage of girls to boys enrolled at primary and secondary levels in public and private schools. United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.

SE.ENR.SECO.FM.ZS Ratio of female to male secondary enrollment (%) Ratio of female to male secondary enrollment is the percentage of girls to boys enrolled at secondary level in public and private schools. United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.

SE.ENR.TERT.FM.ZS Ratio of female to male tertiary enrollment (%) Ratio of female to male tertiary enrollment is the percentage of men to women enrolled at tertiary level in public and private schools. United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.

SE.PRE.ENRR School enrollment, preprimary (% gross) Gross enrolment ratio. Pre-primary. Total is the total enrollment in pre-primary education, regardless of age, expressed as a percentage of the total population of official pre-primary education age. GER can exceed 100% due to the inclusion of over-aged a UNESCO Institute for Statistics

SE.PRE.ENRR.FE School enrollment, preprimary, female (% gross) Gross enrolment ratio. Pre-primary. Female is the total female enrollment in pre-primary education, regardless of age, expressed as a percentage of the total female population of official pre-primary education age. GER can exceed 100% due to the inclusion UNESCO Institute for Statistics

SE.PRE.ENRR.MA School enrollment, preprimary, male (% gross) Gross enrolment ratio. Pre-primary. Male is the total male enrollment in pre-primary education, regardless of age, expressed as a percentage of the total male population of official pre-primary education age. GER can exceed 100% due to the inclusion of ov UNESCO Institute for Statistics

SE.PRM.AGES Primary school starting age (years) Entrance age of primary is the age at which students would enter primary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through the system without re UNESCO Institute for Statistics

SE.PRM.CMPT.FE.ZS Primary completion rate, female (% of relevant age group) Primary completion rate. Female is the total number of new female entrants in the last grade of primary education, regardless of age, expressed as percentage of the total female population of the theoretical entrance age to the last grade of primary. This UNESCO Institute for Statistics

SE.PRM.CMPT.MA.ZS Primary completion rate, male (% of relevant age group) Primary completion rate. Male is the total number of new male entrants in the last grade of primary education, regardless of age, expressed as percentage of the total male population of the theoretical entrance age to the last grade of primary. This indic UNESCO Institute for Statistics

SE.PRM.CMPT.ZS Primary completion rate, total (% of relevant age group) Primary completion rate. Total is the total number of new entrants in the last grade of primary education, regardless of age, expressed as percentage of the total population of the theoretical entrance age to the last grade of primary. This indicator is a UNESCO Institute for Statistics

SE.PRM.DURS Primary education, duration (years) Duration of primary is the number of grades (years) in primary education. UNESCO Institute for Statistics

SE.PRM.ENRL Primary education, pupils Enrolment in primary. Public and private. All programmes. Total is the total number of students enrolled in public and private primary education institutions. UNESCO Institute for Statistics

SE.PRM.ENRL.FE.ZS Primary education, pupils (% female) Percentage of female students. Primary is the number of female students at the primary level expressed as a percentage of the total number of students (male and female) at the primary level in a given school year. UNESCO Institute for Statistics

SE.PRM.ENRL.TC.ZS Pupil-teacher ratio, primary Pupil-teacher ratio. Primary is the number of pupils enrolled in primary school divided by the number of primary school teachers. UNESCO Institute for Statistics

SE.PRM.ENRR School enrollment, primary (% gross) Gross enrolment ratio. Primary. Total is the total enrollment in primary education, regardless of age, expressed as a percentage of the population of official primary education age. GER can exceed 100% due to the inclusion of over-aged and under-aged stud UNESCO Institute for Statistics

SE.PRM.ENRR.FE School enrollment, primary, female (% gross) Gross enrolment ratio. Primary. Female is the total female enrollment in primary education, regardless of age, expressed as a percentage of the female population of official primary education age. GER can exceed 100% due to the inclusion of over-aged and UNESCO Institute for Statistics

SE.PRM.ENRR.MA School enrollment, primary, male (% gross) Gross enrolment ratio. Primary. Male is the total male enrollment in primary education, regardless of age, expressed as a percentage of the male population of official primary education age. GER can exceed 100% due to the inclusion of over-aged and under- UNESCO Institute for Statistics

SE.PRM.GINT.FE.ZS Gross intake rate in grade 1, female (% of relevant age group) Gross intake ratio. Primary. Female is the total number of new female entrants in the first grade of primary education, regardless of age, expressed as a percentage of the female population at the official primary school-entrance age. The ratio can exceed UNESCO Institute for Statistics

SE.PRM.GINT.MA.ZS Gross intake rate in grade 1, male (% of relevant age group) Gross intake ratio. Primary. Male is the total number of new male entrants in the first grade of primary education, regardless of age, expressed as a percentage of the male population at the official primary school-entrance age. The ratio can exceed 100% UNESCO Institute for Statistics

SE.PRM.GINT.ZS Gross intake rate in grade 1, total (% of relevant age group) Gross intake ratio. Primary. Total is the total number of new entrants in the first grade of primary education, regardless of age, expressed as a percentage of the population at the official primary school-entrance age. The ratio can exceed 100% due to ov UNESCO Institute for Statistics

SE.PRM.NENR School enrollment, primary (% net) Net enrolment rate. Primary. Total is the ratio of children of the official primary school age who are enrolled in primary school to the total population of the official primary school age. UNESCO Institute for Statistics

SE.PRM.NENR.FE School enrollment, primary, female (% net) Net enrolment rate. Primary. Female is the ratio of female children of the official primary school age who are enrolled in primary school to the female population of the official primary school age. UNESCO Institute for Statistics

SE.PRM.NENR.MA School enrollment, primary, male (% net) Net enrolment rate. Primary. Male is the ratio of male children of the official primary school age who are enrolled in primary school to the male population of the official primary school age. UNESCO Institute for Statistics

SE.PRM.NINT.FE.ZS Net intake rate in grade 1, female (% of official school-age population) Net intake rate. Primary. Female is the number of new female entrants in the first grade of primary education who are of the official primary school-entrance age, expressed as a percentage of the female population of the same age. UNESCO Institute for Statistics

SE.PRM.NINT.MA.ZS Net intake rate in grade 1, male (% of official school-age population) Net intake rate. Primary. Male is the number of new male entrants in the first grade of primary education who are of the official primary school-entrance age, expressed as a percentage of the male population of the same age. UNESCO Institute for Statistics

SE.PRM.NINT.ZS Net intake rate in grade 1 (% of official school-age population) Net intake rate. Primary. Total is the number of new entrants in the first grade of primary education who are of the official primary school-entrance age, expressed as a percentage of the population of the same age. UNESCO Institute for Statistics

SE.PRM.PRIV.ZS School enrollment, primary, private (% of total primary) Percentage of private enrolment. Primary is the enrolment in private primary schools expressed as a percentage of total enrolment (public and private) in primary schools. 'Private' refers to all educational institutions not operated by a public authority, UNESCO Institute for Statistics

SE.PRM.PRS5.FE.ZS Persistence to grade 5, female (% of cohort) Survival rate to grade 5. Female is the share of female children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is calculated on the basis of the reconstructed cohort method, which uses data on enrolment and repea UNESCO Institute for Statistics

SE.PRM.PRS5.MA.ZS Persistence to grade 5, male (% of cohort) Survival rate to grade 5. Male is the share of male children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is calculated on the basis of the reconstructed cohort method, which uses data on enrolment and repeaters UNESCO Institute for Statistics

SE.PRM.PRS5.ZS Persistence to grade 5, total (% of cohort) Survival rate to grade 5. Total is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is calculated on the basis of the reconstructed cohort method, which uses data on enrolment and repeaters for UNESCO Institute for Statistics

SE.PRM.PRSL.FE.ZS Persistence to last grade of primary, female (% of cohort) Survival rate to last grade of primary. Female is the share of female children enrolled in the first grade of primary school who eventually reach the last grade of primary. The estimate is calculated on the basis of the reconstructed cohort method, which UNESCO Institute for Statistics

SE.PRM.PRSL.MA.ZS Persistence to last grade of primary, male (% of cohort) Survival rate to last grade of primary. Male is the share of male children enrolled in the first grade of primary school who eventually reach the last grade of primary. The estimate is calculated on the basis of the reconstructed cohort method, which uses UNESCO Institute for Statistics

SE.PRM.PRSL.ZS Persistence to last grade of primary, total (% of cohort) Survival rate to last grade of primary. Total is the share of children enrolled in the first grade of primary school who eventually reach the last grade of primary. The estimate is calculated on the basis of the reconstructed cohort method, which uses dat UNESCO Institute for Statistics

SE.PRM.REPT.FE.ZS Repeaters, primary, female (% of female enrollment) Percentage of repeaters in primary. All grades. Female is the number of female students enrolled in the same grade as in the previous year, as a percentage of all female students enrolled in primary school. It is calculated by dividing the sum of female r UNESCO Institute for Statistics

SE.PRM.REPT.MA.ZS Repeaters, primary, male (% of male enrollment) Percentage of repeaters in primary. All grades. Male is the number of male students enrolled in the same grade as in the previous year, as a percentage of all male students enrolled in primary school. It is calculated by dividing the sum of male repeaters UNESCO Institute for Statistics

SE.PRM.REPT.ZS Repeaters, primary, total (% of total enrollment) Percentage of repeaters in primary. All grades. Total is the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school. It is calculated by dividing the sum of repeaters in all grades UNESCO Institute for Statistics

SE.PRM.TCAQ.FE.ZS Trained teachers in primary education, female (% of female teachers) Percentage of trained teachers. Primary. Female is the number of female teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching at the primary level in the given country, expressed as a percentag UNESCO Institute for Statistics

SE.PRM.TCAQ.MA.ZS Trained teachers in primary education, male (% of male teachers) Percentage of trained teachers. Primary. Male is the number of male teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching at the primary level in the given country, expressed as a percentage of UNESCO Institute for Statistics

SE.PRM.TCAQ.ZS Trained teachers in primary education (% of total teachers) Percentage of trained teachers. Primary. Total is the number of teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching at the primary level in the given country, expressed as a percentage of the UNESCO Institute for Statistics

SE.PRM.TCHR Primary education, teachers Teaching staff in primary. Public and private. Full and part-time. All programmes. Total is the total number of teachers in public and private primary education institutions. Teachers are persons employed full time or part time in an official capacity to UNESCO Institute for Statistics

SE.PRM.TCHR.FE.ZS Primary education, teachers (% female) Percentage female teachers. Primary is the number of female teachers at the primary level expressed as a percentage of the total number of teachers (male and female) at the primary level in a given school year. Teachers are persons employed full time or p UNESCO Institute for Statistics

SE.PRM.TENR Adjusted net enrollment rate, primary (% of primary school age children) Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. UNESCO Institute for Statistics

SE.PRM.TENR.FE "Adjusted net enrollment rate, primary, female (% of primary school age children)" Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. UNESCO Institute for Statistics

SE.PRM.TENR.MA "Adjusted net enrollment rate, primary, male (% of primary school age children)" Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. UNESCO Institute for Statistics

SE.PRM.UNER Children out of school, primary Out-of-school children of primary school age. Total is the total number of primary-school-age children who are not enrolled in either primary or secondary schools. UNESCO Institute for Statistics

SE.PRM.UNER.FE Children out of school, primary, female Out-of-school children of primary school age. Female is the total number of female primary-school-age children who are not enrolled in either primary or secondary schools. UNESCO Institute for Statistics

SE.PRM.UNER.MA Children out of school, primary, male Out-of-school children of primary school age. Male is the total number of male primary-school-age children who are not enrolled in either primary or secondary schools. UNESCO Institute for Statistics

SE.SCH.LIFE Expected years of schooling School life expectancy (years). Primary to tertiary. Total is the total number of years of schooling which a child of a certain age can expect to receive in the future, assuming that the probability of his or her being enrolled in school at any particular UNESCO Institute for Statistics

SE.SCH.LIFE.FE Expected years of schooling, female Expected years of schooling, female UNESCO Institute for Statistics

SE.SCH.LIFE.MA Expected years of schooling, male Expected years of schooling, male UNESCO Institute for Statistics

SE.SEC.AGES Secondary school starting age (years) Entrance age of 2A lower secondary is the age at which students would enter lower secondary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through th UNESCO Institute for Statistics

SE.SEC.DURS Secondary education, duration (years) Duration of secondary education is the number of grades (years) in secondary education (ISCED 2 & 3). UNESCO Institute for Statistics

SE.SEC.ENRL Secondary education, pupils Enrolment in total secondary. Public and private. All programmes. Total is the total number of students enrolled at public and private secondary education institutions. UNESCO Institute for Statistics

SE.SEC.ENRL.FE.ZS Secondary education, pupils (% female) Percentage of female students. Total secondary. All programmes is the number of female students enrolled in all secondary education programmes expressed as a percentage of the total number of students (male and female) enrolled at the secondary education UNESCO Institute for Statistics

SE.SEC.ENRL.GC Secondary education, general pupils Enrolment in total secondary. Public and private. General programmes. Total is the total number of students enrolled in general programmes at public and private secondary education institutions. UNESCO Institute for Statistics

SE.SEC.ENRL.GC.FE.ZS Secondary education, general pupils (% female) Percentage of female students. Total secondary. General programmes is the number of female students enrolled in general programmes at the secondary education level expressed as a percentage of the total number of students (male and female) enrolled in gen UNESCO Institute for Statistics

SE.SEC.ENRL.TC.ZS Pupil-teacher ratio, secondary Pupil-teacher ratio. Secondary is the number of pupils enrolled in secondary school divided by the number of secondary school teachers. UNESCO Institute for Statistics

SE.SEC.ENRL.VO Secondary education, vocational pupils Enrolment in total secondary. Public and private. Technical/vocational programmes. Total is the total number of students enrolled in technical/vocational programmes at public and private secondary education institutions. UNESCO Institute for Statistics

SE.SEC.ENRL.VO.FE.ZS Secondary education, vocational pupils (% female) Percentage of female students. Total secondary. Technical/vocational programmes is the number of female students enrolled in technical/vocational programmes at the secondary education level expressed as a percentage of the total number of students (male a UNESCO Institute for Statistics

SE.SEC.ENRR School enrollment, secondary (% gross) Gross enrolment ratio. Secondary. All programmes. Total is the total enrollment in secondary education, regardless of age, expressed as a percentage of the population of official secondary education age. GER can exceed 100% due to the inclusion of over-ag UNESCO Institute for Statistics

SE.SEC.ENRR.FE School enrollment, secondary, female (% gross) Gross enrolment ratio. Secondary. All programmes. Female is the total female enrollment in secondary education, regardless of age, expressed as a percentage of the female population of official secondary education age. GER can exceed 100% due to the inclu UNESCO Institute for Statistics

SE.SEC.ENRR.MA School enrollment, secondary, male (% gross) Gross enrolment ratio. Secondary. All programmes. Male is the total male enrollment in secondary education, regardless of age, expressed as a percentage of the male population of official secondary education age. GER can exceed 100% due to the inclusion o UNESCO Institute for Statistics

SE.SEC.NENR School enrollment, secondary (% net) Net enrolment rate. Secondary. All programmes. Total is the ratio of children of the official secondary school age who are enrolled in secondary school to the population of the official secondary school age. UNESCO Institute for Statistics

SE.SEC.NENR.FE School enrollment, secondary, female (% net) Net enrolment rate. Secondary. All programmes. Female is the ratio of female children of the official secondary school age who are enrolled in secondary school to the female population of the official secondary school age. UNESCO Institute for Statistics

SE.SEC.NENR.MA School enrollment, secondary, male (% net) Net enrolment rate. Secondary. All programmes. Male is the ratio of male children of the official secondary school age who are enrolled in secondary school to the male population of the official secondary school age. UNESCO Institute for Statistics

SE.SEC.PRIV.ZS School enrollment, secondary, private (% of total secondary) Percentage of private enrolment. Secondary is the enrolment in private secondary schools expressed as a percentage of total enrolment (public and private) in secondary schools. 'Private' refers to all educational institutions not operated by a public auth UNESCO Institute for Statistics

SE.SEC.PROG.FE.ZS Progression to secondary school, female (%) Transition from primary (ISCED 1) to secondary (ISCED 2), general programmes (%). Female is the number of new female entrants to the first grade of secondary education (general programmes only) in a given year, expressed as a percentage of the number of f UNESCO Institute for Statistics

SE.SEC.PROG.MA.ZS Progression to secondary school, male (%) Transition from primary (ISCED 1) to secondary (ISCED 2), general programmes (%). Male is the number of new male entrants to the first grade of secondary education (general programmes only) in a given year, expressed as a percentage of the number of male UNESCO Institute for Statistics

SE.SEC.PROG.ZS Progression to secondary school (%) Transition from primary (ISCED 1) to secondary (ISCED 2), general programmes (%). Total is the number of new entrants to the first grade of secondary education (general programmes only) in a given year, expressed as a percentage of the number of pupils en UNESCO Institute for Statistics

SE.SEC.REPT.FE.ZS Repeaters, secondary, female (% of female enrollment) Percentage of repeaters in secondary. All grades. Female is the number of female students enrolled in the same grade as in the previous year, as a percentage of all female students enrolled in secondary school. It is calculated by dividing the sum of fema UNESCO Institute for Statistics

SE.SEC.REPT.MA.ZS Repeaters, secondary, male (% of male enrollment) Percentage of repeaters in secondary. All grades. Male is the number of male students enrolled in the same grade as in the previous year, as a percentage of all male students enrolled in secondary school. It is calculated by dividing the sum of male repea UNESCO Institute for Statistics

SE.SEC.REPT.ZS Repeaters, secondary, total (% of total enrollment) Percentage of repeaters in secondary. All grades. Total is the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in secondary school. It is calculated by dividing the sum of repeaters in all gr UNESCO Institute for Statistics

SE.SEC.TCHR Secondary education, teachers Teaching staff in total secondary. Public and private. Full and part-time. All programmes. Total is the total number of teachers in public and private secondary education institutions (ISCED 2 and 3). Teachers are persons employed full time or part time i UNESCO Institute for Statistics

SE.SEC.TCHR.FE Secondary education, teachers, female Teaching staff in total secondary. Public and private. Full and part-time. All programmes. Female is the total number of female teachers in public and private secondary education institutions (ISCED 2 and 3). Teachers are persons employed full time or par UNESCO Institute for Statistics

SE.SEC.TCHR.FE.ZS Secondary education, teachers (% female) Percentage female teachers. Secondary is the number of female teachers at the secondary level expressed as a percentage of the total number of teachers (male and female) at the secondary level in a given school year. Teachers are persons employed full tim UNESCO Institute for Statistics

SE.TER.ENRR School enrollment, tertiary (% gross) Gross enrolment ratio. Tertiary (ISCED 5 and 6). Total is the total enrollment in tertiary education (ISCED 5 and 6), regardless of age, expressed as a percentage of the total population of the five-year age group following on from secondary school leavin UNESCO Institute for Statistics

SE.TER.ENRR.FE School enrollment, tertiary, female (% gross) Gross enrolment ratio. Tertiary (ISCED 5 and 6). Female is the total female enrollment in tertiary education (ISCED 5 and 6), regardless of age, expressed as a percentage of the total female population of the five-year age group following on from secondar UNESCO Institute for Statistics

SE.TER.ENRR.MA School enrollment, tertiary, male (% gross) Gross enrolment ratio. Tertiary (ISCED 5 and 6). Male is the total male enrollment in tertiary education (ISCED 5 and 6), regardless of age, expressed as a percentage of the total male population of the five-year age group following on from secondary scho UNESCO Institute for Statistics

SE.TER.TCHR.FE.ZS Tertiary education, teachers (% female) Percentage female teachers. Tertiary is the number of female teachers at the tertiary level expressed as a percentage of the total number of teachers (male and female) at the tertiary level in a given school year. Teachers are persons employed full time o UNESCO Institute for Statistics

SE.XPD.PRIM.PC.ZS Expenditure per student, primary (% of GDP per capita) Public expenditure per pupil as a % of GDP per capita. Primary is the total public expenditure per student in primary education as a percentage of GDP per capita. Public expenditure (current and capital) includes government spending on educational institu UNESCO Institute for Statistics

SE.XPD.PRIM.ZS Share of public expenditure for primary education (% of public education expenditure) Educational expenditure in primary as % of total educational expenditure is the percentage of public education expenditure for primary education. Public expenditure (current and capital) includes government spending on educational institutions (both publi UNESCO Institute for Statistics

SE.XPD.PTCH.ZS Spending on teaching materials, primary (% of primary expenditure) Percentage distribution of public current expenditure by purpose in primary education. Teaching materials is the share of public current expenditure for primary education devoted to teaching materials. UNESCO Institute for Statistics

SE.XPD.SECO.PC.ZS Expenditure per student, secondary (% of GDP per capita) Public expenditure per pupil as a % of GDP per capita. Secondary is the total public expenditure per student in secondary education as a percentage of GDP per capita. Public expenditure (current and capital) includes government spending on educational ins UNESCO Institute for Statistics

SE.XPD.SECO.ZS Share of public expenditure for secondary education (% of public education expenditure) Educational expenditure in secondary as % of total educational expenditure is the percentage of public education expenditure for secondary education. Public expenditure (current and capital) includes government spending on educational institutions (both p UNESCO Institute for Statistics

SE.XPD.STCH.ZS Spending on teaching materials, secondary (% of secondary expenditure) Percentage distribution of public current expenditure by purpose in secondary education. Teaching materials is the share of public current expenditure for secondary education devoted to teaching materials. UNESCO Institute for Statistics

SE.XPD.TCHR.XC.ZS Teachers' salaries (% of current education expenditure) Educational expenditure on teachers salaries as a % of current education expenditures on public institutions. All Levels is spending on teacher salaries expressed as a percentage of the total current expenditures on education for all educational levels. UNESCO Institute for Statistics

SE.XPD.TERT.PC.ZS Expenditure per student, tertiary (% of GDP per capita) Public expenditure per pupil as a % of GDP per capita. Tertiary is the total public expenditure per student in tertiary education as a percentage of GDP per capita. Public expenditure (current and capital) includes government spending on educational insti UNESCO Institute for Statistics

SE.XPD.TOTL.GB.ZS Public spending on education, total (% of government expenditure) Public expenditure on education as % of total government expenditure is the total public education expenditure (current and capital) expressed as a percentage of total government expenditure for all sectors in a given financial year. Public education expe UNESCO Institute for Statistics

SE.XPD.TOTL.GD.ZS Public spending on education, total (% of GDP) Public expenditure on education as % of GDP is the total public expenditure (current and capital) on education expressed as a percentage of the Gross Domestic Product (GDP) in a given year. Public expenditure on education includes government spending on e UNESCO Institute for Statistics

SG.GEN.LSOM.ZS Female legislators, senior officials and managers (% of total) Female legislators, senior officials and managers (% of total) refers to the share of legislators, senior officials and managers who are female. ILO Key Indicators of the Labour Market (KILM).

SG.GEN.PARL.ZS Proportion of seats held by women in national parliaments (%) Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women. Inter-Parliamentary Union (IPU) (www.ipu.org)

SH.CON.1524.FE.ZS Condom use, population ages 15-24, female (% of females ages 15-24) Condom use is the percentage of the population ages 15-24 who used a condom at last intercourse in the last 12 months. Demographic and Health Surveys by Macro International.

SH.CON.1524.MA.ZS Condom use, population ages 15-24, male (% of males ages 15-24) Condom use is the percentage of the population ages 15-24 who used a condom at last intercourse in the last 12 months. Demographic and Health Surveys by Macro International.

SH.DTH.IMRT Number of infant deaths Number of deaths between birth and exactly one year of age. Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD).

SH.DTH.MORT Number of under-five deaths Number of deaths between birth and exactly one year of age. Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD).

SH.DTH.NMRT Number of neonatal deaths Number of deaths in the first month of life. Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD).

SH.DYN.AIDS.FE.ZS Women's share of population ages 15+ living with HIV (%) Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population with HIV. UNAIDS and the WHO's Report on the Global AIDS Epidemic.

SH.DYN.AIDS.ZS Prevalence of HIV, total (% of population ages 15-49) Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV. UNAIDS and the WHO's Report on the Global AIDS Epidemic.

SH.DYN.CHLD.FE Mortality rate, female child (per 1,000 female children age one) Child mortality rate is the probability of dying between the exact ages of one and five, if subject to current age-specific mortality rates. The probability is expressed as a rate per 1,000. Demographic and Health Surveys by Macro International, Multiple Indicators Cluster Surveys by UNICEF, Reproductive Health Surveys by U.S. Center for Disease Control, and Family Health Surveys by Pan Arab Project for Family Health. See footnotes for a sour

SH.DYN.CHLD.MA Mortality rate, male child (per 1,000 male children age one) Child mortality rate is the probability of dying between the exact ages of one and five, if subject to current age-specific mortality rates. The probability is expressed as a rate per 1,000. Demographic and Health Surveys by Macro International, Multiple Indicators Cluster Surveys by UNICEF, Reproductive Health Surveys by U.S. Center for Disease Control, and Family Health Surveys by Pan Arab Project for Family Health. See footnotes for a sour

SH.DYN.MORT Mortality rate, under-5 (per 1,000 live births) Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to current age-specific mortality rates. Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD).

SH.DYN.NMRT Mortality rate, neonatal (per 1,000 live births) Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year. Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD).

SH.H2O.SAFE.RU.ZS Improved water source, rural (% of rural population with access) Access to an improved water source refers to the percentage of the population with reasonable access to an adequate amount of water from an improved source, such as a household connection, public standpipe, borehole, protected well or spring, and rainwate World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/).

SH.H2O.SAFE.UR.ZS Improved water source, urban (% of urban population with access) Access to an improved water source refers to the percentage of the population with reasonable access to an adequate amount of water from an improved source, such as a household connection, public standpipe, borehole, protected well or spring, and rainwate World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/).

SH.H2O.SAFE.ZS Improved water source (% of population with access) Access to an improved water source refers to the percentage of the population with reasonable access to an adequate amount of water from an improved source, such as a household connection, public standpipe, borehole, protected well or spring, and rainwate World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/).

SH.HIV.0014 Children (0-14) living with HIV Children living with HIV refers to the number of children ages 0-14 who are infected with HIV. UNAIDS and the WHO's Report on the Global AIDS Epidemic.

SH.HIV.1524.FE.ZS Prevalence of HIV, female (% ages 15-24) Prevalence of HIV is the percentage of people who are infected with HIV. Youth rates are as a percentage of the relevant age group. UNAIDS and the WHO's Report on the Global AIDS Epidemic.

SH.HIV.1524.MA.ZS Prevalence of HIV, male (% ages 15-24) Prevalence of HIV is the percentage of people who are infected with HIV. Youth rates are as a percentage of the relevant age group. UNAIDS and the WHO's Report on the Global AIDS Epidemic.

SH.HIV.ARTC.ZS Antiretroviral therapy coverage (% of people with advanced HIV infection) Antiretroviral therapy coverage indicates the percentage of adults and children with advanced HIV infection currently receiving antiretroviral therapy among the estimated number of people needing antiretroviral therapy based on WHO 2010 guidelines. UNAIDS and the WHO's Report on the Global AIDS Epidemic.

SH.IMM.IDPT Immunization, DPT (% of children ages 12-23 months) Child immunization measures the percentage of children ages 12-23 months who received vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus WHO and UNICEF (http://www.who.int/immunization_monitoring/routine/en/).

SH.IMM.MEAS Immunization, measles (% of children ages 12-23 months) Child immunization measures the percentage of children ages 12-23 months who received vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine. WHO and UNICEF (http://www.who.int/immunization_monitoring/routine/en/).

SH.MED.BEDS.ZS Hospital beds (per 1,000 people) Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included. Data after 2005 are extracted from the World Health Statistics Table 6 published by WHO. WHS data is based on PAHO basic indicators 2011. Washington, DC, Pan American Health Organization, 2011 (www.paho.org/English/SHA/coredata/tabulator/newTabulator.htm)

SH.MED.CMHW.P3 Community health workers (per 1,000 people) Community health workers include various types of community health aides, many with country-specific occupational titles such as community health officers, community health-education workers, family health workers, lady health visitors and health extensio World Health Organization, OECD, supplemented by country data.

SH.MED.NUMW.P3 Nurses and midwives (per 1,000 people) Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses. World Health Organization, Global Atlas of the Health Workforce. For latest updates and metadata, see http://apps.who.int/globalatlas/.

SH.MED.PHYS.ZS Physicians (per 1,000 people) Physicians include generalist and specialist medical practitioners. World Health Organization, Global Atlas of the Health Workforce. For latest updates and metadata, see http://apps.who.int/globalatlas/.

SH.MLR.INCD Notified cases of malaria (per 100,000 people) Malaria incidence is expressed as the number of new cases of malaria per 100,000 people each year. The number of cases reported is adjusted to take into account incompleteness in reporting systems, patients seeking treatment in the private sector, self-me World Health Organization.

SH.MLR.NETS.ZS Use of insecticide-treated bed nets (% of under-5 population) Use of insecticide-treated bed nets refers to the percentage of children under age five who slept under an insecticide-treated bednet to prevent malaria. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.

SH.MLR.TRET.ZS Children with fever receiving antimalarial drugs (% of children under age 5 with fever) Malaria treatment refers to the percentage of children under age five who were ill with fever in the last two weeks and received any appropriate (locally defined) anti-malarial drugs. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.

SH.MMR.DTHS Number of maternal deaths Maternal mortality deaths is the number of women who die during pregnancy and childbirth. Trends in Maternal Mortality: 1990-2010. Estimates Developed by WHO, UNICEF, UNFPA and the World Bank.

SH.MMR.RISK Lifetime risk of maternal death (1 in: rate varies by country) Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account Trends in Maternal Mortality: 1990-2010. Estimates Developed by WHO, UNICEF, UNFPA and the World Bank.

SH.MMR.RISK.ZS Lifetime risk of maternal death (%) Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account Trends in Maternal Mortality: 1990-2010. Estimates Developed by WHO, UNICEF, UNFPA and the World Bank.

SH.PRV.SMOK.FE Smoking prevalence, females (% of adults) Prevalence of smoking, female is the percentage of women ages 15 and over who smoke any form of tobacco, including cigarettes, cigars, and pipes, and excluding smokeless tobacco. Data include daily and non-daily smoking. WHO Report on the Global Tobacco Epidemic.

SH.PRV.SMOK.MA Smoking prevalence, males (% of adults) Prevalence of smoking, male is the percentage of men ages 15 and over who smoke any form of tobacco, including cigarettes, cigars, and pipes, and excluding smokeless tobacco. Data include daily and non-daily smoking. WHO Report on the Global Tobacco Epidemic.

SH.STA.ACSN Improved sanitation facilities (% of population with access) Access to improved sanitation facilities refers to the percentage of the population with at least adequate access to excreta disposal facilities that can effectively prevent human, animal, and insect contact with excreta. Improved facilities range from si World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/).

SH.STA.ACSN.RU Improved sanitation facilities, rural (% of rural population with access) Access to improved sanitation facilities refers to the percentage of the population with at least adequate access to excreta disposal facilities that can effectively prevent human, animal, and insect contact with excreta. Improved facilities range from si World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/).

SH.STA.ACSN.UR Improved sanitation facilities, urban (% of urban population with access) Access to improved sanitation facilities refers to the percentage of the population with at least adequate access to excreta disposal facilities that can effectively prevent human, animal, and insect contact with excreta. Improved facilities range from si World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/).

SH.STA.ANVC.ZS Pregnant women receiving prenatal care (%) Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.

SH.STA.ARIC.ZS ARI treatment (% of children under 5 taken to a health provider) Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, disp UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.

SH.STA.BFED.ZS Exclusive breastfeeding (% of children under 6 months) Exclusive breastfeeding refers to the percentage of children less than six months old who are fed breast milk alone (no other liquids) in the past 24 hours. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.

SH.STA.BRTC.ZS Births attended by skilled health staff (% of total) Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.

SH.STA.BRTW.ZS Low-birthweight babies (% of births) Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hours of life, before significant postnatal weight loss has occurred. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.

SH.STA.MALN.ZS Malnutrition prevalence, weight for age (% of children under 5) Prevalence of child malnutrition is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child gr World Health Organization, Global Database on Child Growth and Malnutrition. Aggregation is based on UNICEF/WHO Joint Global Malnutrition Analysis Date Set 2011, and additional analysis by UNICEF.

SH.STA.MMRT Maternal mortality ratio (modeled estimate, per 100,000 live births) Maternal mortality ratio is the number of women who die during pregnancy and childbirth, per 100,000 live births. The data are estimated with a regression model using information on fertility, birth attendants, and HIV prevalence. Trends in Maternal Mortality: 1990-2010. Estimates Developed by WHO, UNICEF, UNFPA and the World Bank.

SH.STA.MMRT.NE Maternal mortality ratio (national estimate, per 100,000 live births) Maternal mortality ratio is the number of women who die during pregnancy and childbirth, per 100,000 live births. UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.

SH.STA.ORCF.ZS Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding) Children with diarrhea who received oral rehydration and continued feeding refer to the percentage of children under age five with diarrhea in the two weeks prior to the survey who received either oral rehydration therapy or increased fluids, with continu UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International.

SH.STA.OWGH.ZS Prevalence of overweight (% of children under 5) Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new c World Health Organization, Global Database on Child Growth and Malnutrition.

SH.STA.STNT.ZS Malnutrition prevalence, height for age (% of children under 5) Prevalence of child malnutrition is the percentage of children under age 5 whose height for age (stunting) is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old World Health Organization, Global Database on Child Growth and Malnutrition.

SH.STA.WAST.ZS Prevalence of wasting (% of children under 5) Wasting prevalence is the proportion of children under five whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59. World Health Organization, Global Database on Child Growth and Malnutrition.

SH.TBS.CURE.ZS Tuberculosis treatment success rate (% of registered cases) Tuberculosis treatment success rate is the percentage of new, registered smear-positive (infectious) cases that were cured or in which a full course of treatment was completed. World Health Organization, Global Tuberculosis Control Report.

SH.TBS.DTEC.ZS Tuberculosis case detection rate (%, all forms) Tuberculosis case detection rate (all forms) is the percentage of newly notified tuberculosis cases (including relapses) to estimated incident cases (case detection, all forms). World Health Organization, Global Tuberculosis Control Report.

SH.TBS.INCD Incidence of tuberculosis (per 100,000 people) Incidence of tuberculosis is the estimated number of new pulmonary, smear positive, and extra-pulmonary tuberculosis cases. Incidence includes patients with HIV. World Health Organization, Global Tuberculosis Report.

SH.VAC.TTNS.ZS Newborns protected against tetanus (%) Newborns protected against tetanus are the percentage of births by women of child-bearing age who are immunized against tetanus. UNICEF, State of the World's Children, Childinfo.

SH.VST.OUTP Outpatient visits per capita Outpatient visits per capita are the number of visits to health care facilities per capita, including repeat visits. WHO, OECD and supplemented by country data.

SH.XPD.EXTR.ZS External resources for health (% of total expenditure on health) External resources for health are funds or services in kind that are provided by entities not part of the country in question. The resources may come from international organizations, other countries through bilateral arrangements, or foreign nongovernmen World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates).

SH.XPD.OOPC.TO.ZS Out-of-pocket health expenditure (% of total expenditure on health) Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute t World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates).

SH.XPD.OOPC.ZS Out-of-pocket health expenditure (% of private expenditure on health) Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute t World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates).

SH.XPD.PCAP Health expenditure per capita (current US$) Total health expenditure is the sum of public and private health expenditures as a ratio of total population. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designa World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates).

SH.XPD.PCAP.PP.KD Health expenditure per capita, PPP (constant 2005 international $) Total health expenditure is the sum of public and private health expenditures as a ratio of total population. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designa World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates).

SH.XPD.PRIV.ZS Health expenditure, private (% of GDP) Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations. World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates).

SH.XPD.PUBL Health expenditure, public (% of total health expenditure) Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates).

SH.XPD.PUBL.GX.ZS Health expenditure, public (% of government expenditure) Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates).

SH.XPD.PUBL.ZS Health expenditure, public (% of GDP) Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates).

SH.XPD.TOTL.ZS Health expenditure, total (% of GDP) Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not incl World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates).

SI.DST.02ND.20 Income share held by second 20% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

SI.DST.03RD.20 Income share held by third 20% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

SI.DST.04TH.20 Income share held by fourth 20% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

SI.DST.05TH.20 Income share held by highest 20% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

SI.DST.10TH.10 Income share held by highest 10% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

SI.DST.FRST.10 Income share held by lowest 10% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

SI.DST.FRST.20 Income share held by lowest 20% Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

SI.POV.2DAY Poverty headcount ratio at $2 a day (PPP) (% of population) Population below $2 a day is the percentage of the population living on less than $2.00 a day at 2005 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates report World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

SI.POV.DDAY Poverty headcount ratio at $1.25 a day (PPP) (% of population) Population below $1.25 a day is the percentage of the population living on less than $1.25 a day at 2005 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates rep World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

SI.POV.GAP2 Poverty gap at $2 a day (PPP) (%) Poverty gap is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

SI.POV.GAPS Poverty gap at $1.25 a day (PPP) (%) Poverty gap is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence. World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor

SI.POV.GINI GINI index Gini index measures the extent to which the distribution of income or consumption expenditure among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income r World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldban

SI.POV.NAGP Poverty gap at national poverty line (%) Poverty gap at national poverty line is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall) as a percentage ofthe poverty line. This measure reflects the depth of poverty as well as its incidence. Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies.

SI.POV.NAHC Poverty headcount ratio at national poverty line (% of population) National poverty rate is the percentage of the population living below the national poverty line. National estimates are based on population-weighted subgroup estimates from household surveys. Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies.

SI.POV.RUGP Poverty gap at rural poverty line (%) Poverty gap at rural poverty line is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall) as a percentage ofthe national rural poverty line. This measure reflects the depth of poverty as well as its incidence. Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies.

SI.POV.RUHC Poverty headcount ratio at rural poverty line (% of rural population) Rural poverty rate is the percentage of the rural population living below the national rural poverty line. Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies.

SI.POV.URGP Poverty gap at urban poverty line (%) Poverty gap at urban poverty line is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall) as a percentage ofthe national urban poverty line. This measure reflects the depth of poverty as well as its incidence. Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies.

SI.POV.URHC Poverty headcount ratio at urban poverty line (% of urban population) Urban poverty rate is the percentage of the urban population living below the national urban poverty line. Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies.

SL.AGR.0714.FE.ZS Child employment in agriculture, female (% of female economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Agriculture corresponds to division 1 (ISIC revision 2) or categories A and B (ISIC revision 3) Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.AGR.0714.MA.ZS Child employment in agriculture, male (% of male economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Agriculture corresponds to division 1 (ISIC revision 2) or categories A and B (ISIC revision 3) Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.AGR.0714.ZS Child employment in agriculture (% of economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Agriculture corresponds to division 1 (ISIC revision 2) or categories A and B (ISIC revision 3) Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.AGR.EMPL.FE.ZS Employees, agriculture, female (% of female employment) Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Agriculture corresponds to division 1 (ISIC revision 2) or tabulation categories A and B (ISIC revisio International Labour Organization, Key Indicators of the Labour Market database.

SL.AGR.EMPL.MA.ZS Employees, agriculture, male (% of male employment) Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Agriculture corresponds to division 1 (ISIC revision 2) or tabulation categories A and B (ISIC revisio International Labour Organization, Key Indicators of the Labour Market database.

SL.AGR.EMPL.ZS Employment in agriculture (% of total employment) Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Agriculture corresponds to division 1 (ISIC revision 2) or tabulation categories A and B (ISIC revisio International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.1524.SP.FE.ZS Employment to population ratio, ages 15-24, female (%) Employment to population ratio is the proportion of a country's population that is employed. Ages 15-24 are generally considered the youth population. International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.1524.SP.MA.ZS Employment to population ratio, ages 15-24, male (%) Employment to population ratio is the proportion of a country's population that is employed. Ages 15-24 are generally considered the youth population. International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.1524.SP.ZS Employment to population ratio, ages 15-24, total (%) Employment to population ratio is the proportion of a country's population that is employed. Ages 15-24 are generally considered the youth population. International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.INSV.FE.ZS Share of women employed in the nonagricultural sector (% of total nonagricultural employment) Share of women employed in the nonagricultural sector is the share of female workers in the nonagricultural sector (industry and services), expressed as a percentage of total employment in the nonagricultural sector. Industry includes mining and quarrying International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.MPYR.FE.ZS Employers, female (% of employment) Employers refers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods an ILO Key Indicators of the Labour Market (KILM).

SL.EMP.MPYR.MA.ZS Employers, male (% of employment) Employers refers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods an ILO Key Indicators of the Labour Market (KILM).

SL.EMP.MPYR.ZS Employers, total (% of employment) Employers refers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods an ILO Key Indicators of the Labour Market (KILM).

SL.EMP.SELF.FE.ZS Self-employed, female (% of females employed) Self employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs" (i.e. jobs where the remuneration is directly dependent upon the profits d International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.SELF.MA.ZS Self-employed, male (% of males employed) Self employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs" (i.e. jobs where the remuneration is directly dependent upon the profits d International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.SELF.ZS Self-employed, total (% of total employed) Self employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs" (i.e. jobs where the remuneration is directly dependent upon the profits d International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.TOTL Total employment, total (ages 15+) Total employment shows the total number employed ages 15 and over. International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.TOTL.SP.FE.ZS Employment to population ratio, 15+, female (%) Employment to population ratio is the proportion of a country's population that is employed. Ages 15 and older are generally considered the working-age population. International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.TOTL.SP.MA.ZS Employment to population ratio, 15+, male (%) Employment to population ratio is the proportion of a country's population that is employed. Ages 15 and older are generally considered the working-age population. International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.TOTL.SP.ZS Employment to population ratio, 15+, total (%) Employment to population ratio is the proportion of a country's population that is employed. Ages 15 and older are generally considered the working-age population. International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.VULN.FE.ZS Vulnerable employment, female (% of female employment) Vulnerable employment is unpaid family workers and own-account workers as a percentage of total employment. International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.VULN.MA.ZS Vulnerable employment, male (% of male employment) Vulnerable employment is unpaid family workers and own-account workers as a percentage of total employment. International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.VULN.ZS Vulnerable employment, total (% of total employment) Vulnerable employment is unpaid family workers and own-account workers as a percentage of total employment. International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.WORK.FE.ZS Wage and salaried workers, female (% of females employed) Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not dire International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.WORK.MA.ZS Wage and salary workers, male (% of males employed) Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not dire International Labour Organization, Key Indicators of the Labour Market database.

SL.EMP.WORK.ZS Wage and salaried workers, total (% of total employed) Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not dire International Labour Organization, Key Indicators of the Labour Market database.

SL.FAM.WORK.FE.ZS Contributing family workers, female (% of females employed) Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household. International Labour Organization, Key Indicators of the Labour Market database.

SL.FAM.WORK.MA.ZS Contributing family workers, male (% of males employed) Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household. International Labour Organization, Key Indicators of the Labour Market database.

SL.FAM.WORK.ZS Contributing family workers, total (% of total employed) Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household. International Labour Organization, Key Indicators of the Labour Market database.

SL.GDP.PCAP.EM.KD GDP per person employed (constant 1990 PPP $) GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 1990 constant international dollars using PPP rates. An international dollar has the same purchasing International Labour Organization, Key Indicators of the Labour Market database.

SL.IND.EMPL.FE.ZS Employees, industry, female (% of female employment) Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Industry corresponds to divisions 2-5 (ISIC revision 2) or tabulation categories C-F (ISIC revision 3) International Labour Organization, Key Indicators of the Labour Market database.

SL.IND.EMPL.MA.ZS Employees, industry, male (% of male employment) Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Industry corresponds to divisions 2-5 (ISIC revision 2) or tabulation categories C-F (ISIC revision 3) International Labour Organization, Key Indicators of the Labour Market database.

SL.IND.EMPL.ZS Employment in industry (% of total employment) Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Industry corresponds to divisions 2-5 (ISIC revision 2) or tabulation categories C-F (ISIC revision 3) International Labour Organization, Key Indicators of the Labour Market database.

SL.MNF.0714.FE.ZS Child employment in manufacturing, female (% of female economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Manufacturing corresponds to division 3 (ISIC revision 2) or category D (ISIC revision 3). Econo Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.MNF.0714.MA.ZS Child employment in manufacturing, male (% of male economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Manufacturing corresponds to division 3 (ISIC revision 2) or category D (ISIC revision 3). Econo Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.MNF.0714.ZS Child employment in manufacturing (% of economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Manufacturing corresponds to division 3 (ISIC revision 2) or category D (ISIC revision 3). Econo Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.SRV.0714.FE.ZS Child employment in services, female (% of female economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Services correspond to divisions 6-9 (ISIC revision 2) or categories G-P (ISIC revision 3) and i Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.SRV.0714.MA.ZS Child employment in services, male (% of male economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Services correspond to divisions 6-9 (ISIC revision 2) or categories G-P (ISIC revision 3) and i Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.SRV.0714.ZS Child employment in services (% of economically active children ages 7-14) Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Services correspond to divisions 6-9 (ISIC revision 2) or categories G-P (ISIC revision 3) and i Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.SRV.EMPL.FE.ZS Employees, services, female (% of female employment) Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Services correspond to divisions 6-9 (ISIC revision 2) or tabulation categories G-P (ISIC revision 3) International Labour Organization, Key Indicators of the Labour Market database.

SL.SRV.EMPL.MA.ZS Employees, services, male (% of male employment) Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Services correspond to divisions 6-9 (ISIC revision 2) or tabulation categories G-P (ISIC revision 3) International Labour Organization, Key Indicators of the Labour Market database.

SL.SRV.EMPL.ZS Employment in services (% of total employment) Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Services correspond to divisions 6-9 (ISIC revision 2) or tabulation categories G-P (ISIC revision 3) International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.0714.FE.ZS Children in employment, female (% of female children ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.TLF.0714.MA.ZS Children in employment, male (% of male children ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.TLF.0714.SW.FE.ZS Children in employment, study and work, female (% of female children in employment, ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.TLF.0714.SW.MA.ZS Children in employment, study and work, male (% of male children in employment, ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.TLF.0714.SW.ZS Children in employment, study and work (% of children in employment, ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.TLF.0714.WK.FE.ZS Children in employment, work only, female (% of female children in employment, ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.TLF.0714.WK.MA.ZS Children in employment, work only, male (% of male children in employment, ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.TLF.0714.WK.ZS Children in employment, work only (% of children in employment, ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.TLF.0714.ZS Children in employment, total (% of children ages 7-14) Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity. Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.

SL.TLF.ACTI.1524.FE.ZS Labor force participation rate, female (% of female population ages 15-24) Labor force participation rate is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period. The participation rates are harmonized to account f International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.ACTI.1524.MA.ZS Labor force participation rate, male (% of male population ages 15-24) Labor force participation rate is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period. The participation rates are harmonized to account f International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.ACTI.1524.ZS Labor force participation rate, total (% of total population ages 15-24) Labor force participation rate is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period. The participation rates are harmonized to account f International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.ACTI.FE.ZS Labor force participation rate, female (% of female population ages 15-64) Labor force participation rate, female (% of female population ages 15-64) International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.ACTI.MA.ZS Labor force participation rate, male (% of male population ages 15-64) Labor force participation rate, male (% of male population ages 15-64) International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.ACTI.ZS Labor force participation rate, total (% of total population ages 15-64) Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.CACT.FE.ZS Labor participation rate, female (% of female population ages 15+) Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.CACT.FM.ZS Ratio of female to male labor force participation rate (%) Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.CACT.MA.ZS Labor participation rate, male (% of male population ages 15+) Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.CACT.ZS Labor participation rate, total (% of total population ages 15+) Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.PART.FE.ZS Part time employment, female (% of total female employment) Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.PART.MA.ZS Part time employment, male (% of total male employment) Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.PART.TL.FE.ZS Part time employment, female (% of total part time employment) Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.PART.ZS Part time employment, total (% of total employment) Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.PRIM.FE.ZS Labor force with primary education, female (% of female labor force) Labor force with primary education is the proportion of the labor force that has a primary education, as a percentage of the total labor force. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.PRIM.MA.ZS Labor force with primary education, male (% of male labor force) Labor force with primary education is the proportion of the labor force that has a primary education, as a percentage of the total labor force. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.PRIM.ZS Labor force with primary education (% of total) Labor force with primary education is the proportion of the labor force that has a primary education, as a percentage of the total labor force. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.SECO.FE.ZS Labor force with secondary education, female (% of female labor force) Labor force with secondary education is the proportion of the labor force that has a secondary education, as a percentage of the total labor force. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.SECO.MA.ZS Labor force with secondary education, male (% of male labor force) Labor force with secondary education is the proportion of the labor force that has a secondary education, as a percentage of the total labor force. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.SECO.ZS Labor force with secondary education (% of total) Labor force with secondary education is the proportion of the labor force that has a secondary education, as a percentage of the total labor force. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.TERT.FE.ZS Labor force with tertiary education, female (% of female labor force) Labor force with tertiary education is the proportion of labor force that has a tertiary education, as a percentage of the total labor force. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.TERT.MA.ZS Labor force with tertiary education, male (% of male labor force) Labor force with tertiary education is the proportion of labor force that has a tertiary education, as a percentage of the total labor force. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.TERT.ZS Labor force with tertiary education (% of total) Labor force with tertiary education is the proportion of labor force that has a tertiary education, as a percentage of the total labor force. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.TOTL.FE.ZS Labor force, female (% of total labor force) Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who meet the International Labour Organization's definition of the economically active population. International Labour Organization, Key Indicators of the Labour Market database.

SL.TLF.TOTL.IN Labor force, total Total labor force comprises people ages 15 and older who meet the International Labour Organization definition of the economically active population: all people who supply labor for the production of goods and services during a specified period. It includ International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.1524.FE.ZS Unemployment, youth female (% of female labor force ages 15-24) Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.1524.MA.ZS Unemployment, youth male (% of male labor force ages 15-24) Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.1524.ZS Unemployment, youth total (% of total labor force ages 15-24) Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.LTRM.FE.ZS Long-term unemployment, female (% of female unemployment) Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed. International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.LTRM.MA.ZS Long-term unemployment, male (% of male unemployment) Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed. International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.LTRM.ZS Long-term unemployment (% of total unemployment) Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed. International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.PRIM.FE.ZS Unemployment with primary education, female (% of female unemployment) Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.PRIM.MA.ZS Unemployment with primary education, male (% of male unemployment) Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.PRIM.ZS Unemployment with primary education (% of total unemployment) Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.SECO.FE.ZS Unemployment with secondary education, female (% of female unemployment) Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.SECO.MA.ZS Unemployment with secondary education, male (% of male unemployment) Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.SECO.ZS Unemployment with secondary education (% of total unemployment) Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.TERT.FE.ZS Unemployment with tertiary education, female (% of female unemployment) Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.TERT.MA.ZS Unemployment with tertiary education, male (% of male unemployment) Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.TERT.ZS Unemployment with tertiary education (% of total unemployment) Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.TOTL.FE.ZS Unemployment, female (% of female labor force) Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.TOTL.MA.ZS Unemployment, male (% of male labor force) Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. International Labour Organization, Key Indicators of the Labour Market database.

SL.UEM.TOTL.ZS Unemployment, total (% of total labor force) Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. International Labour Organization, Key Indicators of the Labour Market database.

SM.EMI.TERT.ZS Emigration rate of tertiary educated (% of total tertiary educated population) Emigration rate of tertiary educated shows the stock of emigrants ages 25 and older, residing in an OECD country other than that in which they were born, with at least one year of tertiary education as a percentage of the population age 25 and older with Frédéric Docquier, B. Lindsay Lowell, and Abdeslam Marfouk's , "A Gendered Assessment of Highly Skilled Emigration" (2009).

SM.POP.NETM Net migration Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates. To derive estimates of net migration, the Uni United Nations Population Division, World Population Prospects.

SM.POP.REFG Refugee population by country or territory of asylum Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people re United Nations High Commissioner for Refugees (UNHCR), Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.o

SM.POP.REFG.OR Refugee population by country or territory of origin Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people re United Nations High Commissioner for Refugees (UNHCR), Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.o

SM.POP.TOTL International migrant stock, total International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuse United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision.

SM.POP.TOTL.ZS International migrant stock (% of population) International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuse United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision.

SN.ITK.DEFC.ZS Prevalence of undernourishment (% of population) Population below minimum level of dietary energy consumption (also referred to as prevalence of undernourishment) shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. Data showing as 2. Food and Agriculture Organization (http://www.fao.org/faostat/foodsecurity/index_en.htm).

SN.ITK.DPTH Depth of hunger (kilocalories per person per day) Depth of hunger or the intensity of food deprivation, indicates how much food-deprived people fall short of minimum food needs in terms of dietary energy. The food deficit, in kilocalories per person per day, is measured by comparing the average amount of Food and Agriculture Organization, Food Security Statistics (http://www.fao.org/economic/ess/food-security-statistics/en/).

SN.ITK.SALT.ZS Consumption of iodized salt (% of households) Consumption of iodized salt refers to the percentage of households that use edible salt fortified with iodine. United Nations Children's Fund, State of the World's Children.

SN.ITK.VITA.ZS Vitamin A supplementation coverage rate (% of children ages 6-59 months) Vitamin A supplementation refers to the percentage of children ages 6-59 months old who received at least one high-dose vitamin A capsule in the previous six months. United Nations Children's Fund, State of the World's Children.

SP.ADO.TFRT Adolescent fertility rate (births per 1,000 women ages 15-19) Adolescent fertility rate is the number of births per 1,000 women ages 15-19. United Nations Population Division, World Population Prospects.

SP.DTH.INFR.ZS Completeness of infant death reporting (% of reported infant deaths to estimated infant deaths) Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Popula The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.

SP.DTH.REPT.ZS Completeness of total death reporting (% of reported total deaths to estimated total deaths) Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Populatio The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.

SP.DYN.AMRT.FE Mortality rate, adult, female (per 1,000 female adults) Adult mortality rate is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old dying before reaching age 60, if subject to current age-specific mortality rates between those ages. (1) United Nations Population Division. World Population Prospects. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/wpp/unpp/panel_population.htm, (2) University of California, Be

SP.DYN.AMRT.MA Mortality rate, adult, male (per 1,000 male adults) Adult mortality rate is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old dying before reaching age 60, if subject to current age-specific mortality rates between those ages. (1) United Nations Population Division. World Population Prospects. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/wpp/unpp/panel_population.htm, (2) University of California, Be

SP.DYN.CBRT.IN Birth rate, crude (per 1,000 people) Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of popu (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical publications from national statistical offices, (

SP.DYN.CDRT.IN Death rate, crude (per 1,000 people) Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of populatio (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical publications from national statistical offices, (

SP.DYN.CONU.ZS Contraceptive prevalence (% of women ages 15-49) Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for married women ages 15-49 only. Household surveys, including Demographic and Health Surveys by Macro International and Multiple Indicator Cluster Surveys by UNICEF.

SP.DYN.IMRT.IN Mortality rate, infant (per 1,000 live births) Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year. Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD).

SP.DYN.LE00.FE.IN Life expectancy at birth, female (years) Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical publications from national statistical offices, (

SP.DYN.LE00.IN Life expectancy at birth, total (years) Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. Derived from male and female life expectancy at birth from sources such as: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census rep

SP.DYN.LE00.MA.IN Life expectancy at birth, male (years) Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical publications from national statistical offices, (

SP.DYN.TFRT.IN Fertility rate, total (births per woman) Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with current age-specific fertility rates. (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical publications from national statistical offices, (

SP.DYN.TO65.FE.ZS Survival to age 65, female (% of cohort) Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to current age specific mortality rates. United Nations Population Division. World Population Prospects. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/wpp/unpp/panel_population.htm.

SP.DYN.TO65.MA.ZS Survival to age 65, male (% of cohort) Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to current age specific mortality rates. United Nations Population Division. World Population Prospects. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/wpp/unpp/panel_population.htm.

SP.DYN.WFRT Wanted fertility rate (births per woman) Wanted fertility rate is an estimate of what the total fertility rate would be if all unwanted births were avoided. Demographic and Health Surveys by Macro International.

SP.HOU.FEMA.ZS Female headed households (% of households with a female head) Female headed households shows the percentage of households with a female head. Demographic and Health Surveys by Macro International.

SP.MTR.1519.ZS Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant) Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant. Demographic and Health Surveys by Macro International.

SP.POP.0014.FE.IN Population ages 0-14, female Population ages 0-14, female World Bank estimates using ratio from UN World Population Prospects and World Bank's population.

SP.POP.0014.FE.ZS Population ages 0-14, female (% of total) Female population between the ages 0 to 14 as a percentage of the total female population. Population is based on the de facto definition of population. The United Nations Population Division's World Population Prospects.

SP.POP.0014.MA.IN Population ages 0-14, male Population, age 0-14, male is the male population between the ages of 0 and 14. The United Nations Population Division's World Population Prospects.

SP.POP.0014.MA.ZS Population ages 0-14, male (% of total) Male population between the ages 0 to 14 as a percentage of the total male population. Population is based on the de facto definition of population. The United Nations Population Division's World Population Prospects.

SP.POP.0014.TO Population ages 0-14, total Population, age 0-14, female is the total population between the ages of 0 and 14. The United Nations Population Division's World Population Prospects.

SP.POP.0014.TO.ZS Population ages 0-14 (% of total) Population, age 0-14 (% of total) is the population between the ages of 0 and 14 as a percentage of the total population. The United Nations Population Division's World Population Prospects.

SP.POP.1564.FE.IN Population ages 15-64, female Population ages 15-64, female World Bank estimates using ratio from UN World Population Prospects and World Bank's population.

SP.POP.1564.FE.ZS Population ages 15-64, female (% of total) Female population between the ages 15 to 64 is the number of females who could potentially be economically active. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except f The United Nations Population Division's World Population Prospects.

SP.POP.1564.MA.IN Population ages 15-64, male Population ages 15-64, male World Bank estimates using ratio from UN World Population Prospects and World Bank's population.

SP.POP.1564.MA.ZS Population ages 15-64, male (% of total) Male population between the ages 15 to 64 is the number of males who could potentially be economically active. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for r The United Nations Population Division's World Population Prospects.

SP.POP.1564.TO Population ages 15-64, total Population ages 15-64, total The United Nations Population Division's World Population Prospects.

SP.POP.1564.TO.ZS Population ages 15-64 (% of total) Population, age 15-64 (% of total) is the population between the ages of 15 and 64 as a percentage of the total population. The United Nations Population Division's World Population Prospects.

SP.POP.65UP.FE.IN Population ages 65 and above, female Population ages 65 and above, female World Bank estimates using ratio from UN World Population Prospects and World Bank's population.

SP.POP.65UP.FE.ZS Population ages 65 and above, female (% of total) Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanen The United Nations Population Division's World Population Prospects.

SP.POP.65UP.MA.IN Population ages 65 and above, male Male population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are gen World Bank staff estimates using the World Bank's population and the United Nations Population Division's World Population Prospects. The World Bank's population estimates are from various sources including the United Nations Population Division's World P

SP.POP.65UP.MA.ZS Population ages 65 and above, male (% of total) Male population 65 years of age or older as a percentage of the total male population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently The United Nations Population Division's World Population Prospects.

SP.POP.65UP.TO Population ages 65 and above, total Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are ge World Bank staff estimates using the World Bank's population and the United Nations Population Division's World Population Prospects. The World Bank's population estimates are from various sources including the United Nations Population Division's World P

SP.POP.65UP.TO.ZS Population ages 65 and above (% of total) Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the co The United Nations Population Division's World Population Prospects.

SP.POP.DPND Age dependency ratio (% of working-age population) Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International.

SP.POP.DPND.OL Age dependency ratio, old (% of working-age population) Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International.

SP.POP.DPND.YG Age dependency ratio, young (% of working-age population) Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International.

SP.POP.GROW Population growth (annual %) Population growth (annual %) is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage. Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical

SP.POP.SCIE.RD.P6 Researchers in R&D (per million people) Researchers in R&D are professionals engaged in the conception or creation of new knowledge, products, processes, methods, or systems and in the management of the projects concerned. Postgraduate PhD students (ISCED97 level 6) engaged in R&D are included. United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.

SP.POP.TECH.RD.P6 Technicians in R&D (per million people) Technicians in R&D and equivalent staff are people whose main tasks require technical knowledge and experience in engineering, physical and life sciences (technicians), or social sciences and humanities (equivalent staff). They participate in R&D by perfo United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.

SP.POP.TOTL Population, total Population, total refers to the total population. (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical publications from national statistical offices, (

SP.POP.TOTL.FE.IN Population, female Population, female World Bank estimates using ratio from UN World Population Prospects and World Bank's population.

SP.POP.TOTL.FE.ZS Population, female (% of total) Population, female (% of total) is the percentage of the population that is female. The United Nations Population Division's World Population Prospects.

SP.POP.TOTL.MA.IN Population, male Population, male refers to the total male population. Derived from data on total population and population, male (% of total). Population source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs (

SP.POP.TOTL.MA.ZS Population, male (% of total) Population, male (% of total) is the percentage of the population that is male. The United Nations Population Division's World Population Prospects.

SP.REG.BRTH.RU.ZS Completeness of birth registration, rural (%) Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.

SP.REG.BRTH.UR.ZS Completeness of birth registration, urban (%) Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.

SP.REG.BRTH.ZS Completeness of birth registration (%) Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.

SP.RUR.TOTL Rural population Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. The data on urban population shares used to estimate rural population come from the United Nations, World Urbanization Prospects. Total population figures are World Bank estimates.

SP.RUR.TOTL.ZG Rural population growth (annual %) Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. World Bank Staff estimates based on United Nations, World Urbanization Prospects.

SP.RUR.TOTL.ZS Rural population (% of total population) Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. World Bank Staff estimates based on United Nations, World Urbanization Prospects.

SP.URB.GROW Urban population growth (annual %) Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. World Bank Staff estimates based on United Nations, World Urbanization Prospects.

SP.URB.TOTL Urban population Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. World Bank Staff estimates based on United Nations, World Urbanization Prospects.

SP.URB.TOTL.IN.ZS Urban population (% of total) Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. United Nations, World Urbanization Prospects.

SP.UWT.TFRT Unmet need for contraception (% of married women ages 15-49) Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception. Household surveys, including Demographic and Health Surveys by Macro International and Multiple Indicator Cluster Surveys by UNICEF.

ST.INT.ARVL International tourism, number of arrivals International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpo World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.

ST.INT.DPRT International tourism, number of departures International outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited. The data on outbound tourists refer to the n World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.

ST.INT.RCPT.CD International tourism, receipts (current US$) International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination coun World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.

ST.INT.RCPT.XP.ZS International tourism, receipts (% of total exports) International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination coun World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, and IMF and World Bank exports estimates.

ST.INT.TRNR.CD International tourism, receipts for passenger transport items (current US$) International tourism receipts for passenger transport items are expenditures by international inbound visitors for all services provided in the international transportation by resident carriers. Also included are passenger services performed within an ec World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.

ST.INT.TRNX.CD International tourism, expenditures for passenger transport items (current US$) International tourism expenditures for passenger transport items are expenditures of international outbound visitors in other countries for all services provided during international transportation by nonresident carriers. Also included are passenger serv World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.

ST.INT.TVLR.CD International tourism, receipts for travel items (current US$) International tourism receipts for travel items are expenditures by international inbound visitors in the reporting economy. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to us World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.

ST.INT.TVLX.CD International tourism, expenditures for travel items (current US$) International tourism expenditures are expenditures of international outbound visitors in other countries. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. Th World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.

ST.INT.XPND.CD International tourism, expenditures (current US$) International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day v World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.

ST.INT.XPND.MP.ZS International tourism, expenditures (% of total imports) International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day v World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, and IMF and World Bank imports estimates.

TG.VAL.TOTL.GD.ZS Merchandise trade (% of GDP) Merchandise trade as a share of GDP is the sum of merchandise exports and imports divided by the value of GDP, all in current U.S. dollars. World Trade Organization, and World Bank GDP estimates.

TM.QTY.MRCH.XD.WD Import volume index (2000 = 100) Import volume indexes are derived from UNCTAD's volume index series and are the ratio of the import value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.

TM.TAX.MANF.BC.ZS Binding coverage, manufactured products (%) Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Manufactured products are commodities classified in S World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.

TM.TAX.MANF.BR.ZS Bound rate, simple mean, manufactured products (%) Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Manufac World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.

TM.TAX.MANF.IP.ZS Share of tariff lines with international peaks, manufactured products (%) Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. Manufactured products are commodities classified in SIT World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.

TM.TAX.MANF.SM.AR.ZS Tariff rate, applied, simple mean, manufactured products (%) Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line d World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate

TM.TAX.MANF.SM.FN.ZS Tariff rate, most favored nation, simple mean, manufactured products (%) Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit lev World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate

TM.TAX.MANF.SR.ZS Share of tariff lines with specific rates, manufactured products (%) Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.

TM.TAX.MANF.WM.AR.ZS Tariff rate, applied, weighted mean, manufactured products (%) Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line da World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate

TM.TAX.MANF.WM.FN.ZS Tariff rate, most favored nation, weighted mean, manufactured products (%) Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. T World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate

TM.TAX.MRCH.BC.ZS Binding coverage, all products (%) Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.

TM.TAX.MRCH.BR.ZS Bound rate, simple mean, all products (%) Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.

TM.TAX.MRCH.IP.ZS Share of tariff lines with international peaks, all products (%) Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.

TM.TAX.MRCH.SM.AR.ZS Tariff rate, applied, simple mean, all products (%) Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line d World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate

TM.TAX.MRCH.SM.FN.ZS Tariff rate, most favored nation, simple mean, all products (%) Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit lev World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate

TM.TAX.MRCH.SR.ZS Share of tariff lines with specific rates, all products (%) Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.

TM.TAX.MRCH.WM.AR.ZS Tariff rate, applied, weighted mean, all products (%) Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line da World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate

TM.TAX.MRCH.WM.FN.ZS Tariff rate, most favored nation, weighted mean, all products (%) Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. T World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate

TM.TAX.TCOM.BC.ZS Binding coverage, primary products (%) Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Primary products are commodities classified in SITC r World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.

TM.TAX.TCOM.BR.ZS Bound rate, simple mean, primary products (%) Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Primary World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.

TM.TAX.TCOM.IP.ZS Share of tariff lines with international peaks, primary products (%) Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. Primary products are commodities classified in SITC rev World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.

TM.TAX.TCOM.SM.AR.ZS Tariff rate, applied, simple mean, primary products (%) Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line d World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate

TM.TAX.TCOM.SM.FN.ZS Tariff rate, most favored nation, simple mean, primary products (%) Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit lev World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate

TM.TAX.TCOM.SR.ZS Share of tariff lines with specific rates, primary products (%) Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.

TM.TAX.TCOM.WM.AR.ZS Tariff rate, applied, weighted mean, primary products (%) Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line da World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate

TM.TAX.TCOM.WM.FN.ZS Tariff rate, most favored nation, weighted mean, primary products (%) Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. T World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate

TM.VAL.AGRI.ZS.UN Agricultural raw materials imports (% of merchandise imports) Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap). World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.

TM.VAL.FOOD.ZS.UN Food imports (% of merchandise imports) Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels). World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.

TM.VAL.FUEL.ZS.UN Fuel imports (% of merchandise imports) Fuels comprise the commodities in SITC section 3 (mineral fuels). World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.

TM.VAL.ICTG.ZS.UN ICT goods imports (% total goods imports) Information and communication technology goods imports include telecommunications, audio and video, computer and related equipment; electronic components; and other information and communication technology goods. Software is excluded. United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx.

TM.VAL.INSF.ZS.WT Insurance and financial services (% of commercial service imports) Insurance and financial services cover freight insurance on goods imported and other direct insurance such as life insurance; financial intermediation services such as commissions, foreign exchange transactions, and brokerage services; and auxiliary servi International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

TM.VAL.MANF.ZS.UN Manufactures imports (% of merchandise imports) Manufactures comprise the commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (nonferrous metals). World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.

TM.VAL.MMTL.ZS.UN Ores and metals imports (% of merchandise imports) Ores and metals comprise commodities in SITC sections 27 (crude fertilizer, minerals nes); 28 (metalliferous ores, scrap); and 68 (non-ferrous metals). World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.

TM.VAL.MRCH.AL.ZS Merchandise imports from economies in the Arab World (% of total merchandise imports) Merchandise imports from economies in the Arab World are the sum of merchandise imports by the reporting economy from economies in the Arab World. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TM.VAL.MRCH.CD.WT Merchandise imports (current US$) Merchandise imports show the c.i.f. value of goods received from the rest of the world valued in current U.S. dollars. World Trade Organization.

TM.VAL.MRCH.HI.ZS Merchandise imports from high-income economies (% of total merchandise imports) Merchandise imports from high-income economies are the sum of merchandise imports by the reporting economy from high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TM.VAL.MRCH.OR.ZS Merchandise imports from developing economies outside region (% of total merchandise imports) Merchandise imports from developing economies outside region are the sum of merchandise imports by the reporting economy from other developing economies in other World Bank regions according to the World Bank classification of economies. Data are expresse World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TM.VAL.MRCH.R1.ZS Merchandise imports from developing economies in East Asia & Pacific (% of total merchandise imports) Merchandise imports from developing economies in East Asia and Pacific are the sum of merchandise imports by the reporting economy from developing economies in the East Asia and Pacific region according to the World Bank classification of economies. Data World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TM.VAL.MRCH.R2.ZS Merchandise imports from developing economies in Europe & Central Asia (% of total merchandise imports) Merchandise imports from developing economies in Europe and Central Asia are the sum of merchandise imports by the reporting economy from developing economies in the Europe and Central Asia region according to the World Bank classification of economies. D World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TM.VAL.MRCH.R3.ZS Merchandise imports from developing economies in Latin America & the Caribbean (% of total merchandise imports) Merchandise imports from developing economies in Latin America and the Caribbean are the sum of merchandise imports by the reporting economy from developing economies in the Latin America and the Caribbean region according to the World Bank classification World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TM.VAL.MRCH.R4.ZS Merchandise imports from developing economies in Middle East & North Africa (% of total merchandise imports) Merchandise imports from developing economies in Middle East and North Africa are the sum of merchandise imports by the reporting economy from developing economies in the Middle East and North Africa region according to the World Bank classification of ec World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TM.VAL.MRCH.R5.ZS Merchandise imports from developing economies in South Asia (% of total merchandise imports) Merchandise imports from developing economies in South Asia are the sum of merchandise imports by the reporting economy from developing economies in the South Asia region according to the World Bank classification of economies. Data are expressed as a per World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TM.VAL.MRCH.R6.ZS Merchandise imports from developing economies in Sub-Saharan Africa (% of total merchandise imports) Merchandise imports from developing economies in Sub-Saharan Africa are the sum of merchandise imports by the reporting economy from developing economies in the Sub-Saharan Africa region according to the World Bank classification of economies. Data are ex World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TM.VAL.MRCH.RS.ZS Merchandise imports by the reporting economy, residual (% of total merchandise imports) Merchandise imports by the reporting economy residuals are the total merchandise imports by the reporting economy from the rest of the world as reported in the IMF's Direction of trade database, less the sum of imports by the reporting economy from high-, World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TM.VAL.MRCH.WL.CD Merchandise imports by the reporting economy (current US$) Merchandise imports by the reporting economy are the total merchandise imports by the reporting economy from the rest of the world, as reported in the IMF's Direction of trade database. Data are in current U.S. dollars. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TM.VAL.MRCH.WR.ZS Merchandise imports from developing economies within region (% of total merchandise imports) Merchandise imports from developing economies within region are the sum of merchandise imports by the reporting economy from other developing economies in the same World Bank region according to the World Bank classification of economies. Data are as a pe World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TM.VAL.MRCH.XD.WD Import value index (2000 = 100) Import value indexes are the current value of imports (c.i.f.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's import value indexes are reported for most economies. For selected economies for whi United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.

TM.VAL.OTHR.ZS.WT Computer, communications and other services (% of commercial service imports) Computer, communications and other services (% of commercial service imports) include such activities as international telecommunications, and postal and courier services; computer data; news-related service transactions between residents and nonresidents International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

TM.VAL.SERV.CD.WT Commercial service imports (current US$) Commercial service imports are total service imports minus imports of government services not included elsewhere. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) as the economic output of intangible commod International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

TM.VAL.TRAN.ZS.WT Transport services (% of commercial service imports) Transport services (% of commercial service imports) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of go International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

TM.VAL.TRVL.ZS.WT Travel services (% of commercial service imports) Travel services (% of commercial service imports) covers goods and services acquired from an economy by travelers in that economy for their own use during visits of less than one year for business or personal purposes. Travel services include the goods an International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

TT.PRI.MRCH.XD.WD Net barter terms of trade index (2000 = 100) Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate c United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.

TX.QTY.MRCH.XD.WD Export volume index (2000 = 100) Export volume indexes are derived from UNCTAD's volume index series and are the ratio of the export value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.

TX.VAL.AGRI.ZS.UN Agricultural raw materials exports (% of merchandise exports) Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap). World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.

TX.VAL.FOOD.ZS.UN Food exports (% of merchandise exports) Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels). World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.

TX.VAL.FUEL.ZS.UN Fuel exports (% of merchandise exports) Fuels comprise SITC section 3 (mineral fuels). World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.

TX.VAL.ICTG.ZS.UN ICT goods exports (% of total goods exports) Information and communication technology goods exports include telecommunications, audio and video, computer and related equipment; electronic components; and other information and communication technology goods. Software is excluded. United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx.

TX.VAL.INSF.ZS.WT Insurance and financial services (% of commercial service exports) Insurance and financial services cover freight insurance on goods exported and other direct insurance such as life insurance; financial intermediation services such as commissions, foreign exchange transactions, and brokerage services; and auxiliary servi International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

TX.VAL.MANF.ZS.UN Manufactures exports (% of merchandise exports) Manufactures comprise commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (non-ferrous metals). World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.

TX.VAL.MMTL.ZS.UN Ores and metals exports (% of merchandise exports) Ores and metals comprise the commodities in SITC sections 27 (crude fertilizer, minerals nes); 28 (metalliferous ores, scrap); and 68 (non-ferrous metals). World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division.

TX.VAL.MRCH.AL.ZS Merchandise exports to economies in the Arab World (% of total merchandise exports) Merchandise exports to economies in the Arab World are the sum of merchandise exports by the reporting economy to economies in the Arab World. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at lea World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TX.VAL.MRCH.CD.WT Merchandise exports (current US$) Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars. World Trade Organization.

TX.VAL.MRCH.HI.ZS Merchandise exports to high-income economies (% of total merchandise exports) Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TX.VAL.MRCH.OR.ZS Merchandise exports to developing economies outside region (% of total merchandise exports) Merchandise exports to developing economies outside region are the sum of merchandise exports from the reporting economy to other developing economies in other World Bank regions according to the World Bank classification of economies. Data are expressed World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TX.VAL.MRCH.R1.ZS Merchandise exports to developing economies in East Asia & Pacific (% of total merchandise exports) Merchandise exports to developing economies in East Asia and Pacific are the sum of merchandise exports from the reporting economy to developing economies in the East Asia and Pacific region according to World Bank classification of economies. Data are as World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TX.VAL.MRCH.R2.ZS Merchandise exports to developing economies in Europe & Central Asia (% of total merchandise exports) Merchandise exports to developing economies in Europe and Central Asia are the sum of merchandise exports from the reporting economy to developing economies in the Europe and Central Asia region according to World Bank classification of economies. Data ar World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TX.VAL.MRCH.R3.ZS Merchandise exports to developing economies in Latin America & the Caribbean (% of total merchandise exports) Merchandise exports to developing economies in Latin America and the Caribbean are the sum of merchandise exports from the reporting economy to developing economies in the Latin America and the Caribbean region according to World Bank classification of ec World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TX.VAL.MRCH.R4.ZS Merchandise exports to developing economies in Middle East & North Africa (% of total merchandise exports) Merchandise exports to developing economies in Middle East and North Africa are the sum of merchandise exports from the reporting economy to developing economies in the Middle East and North Africa region according to World Bank classification of economie World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TX.VAL.MRCH.R5.ZS Merchandise exports to developing economies in South Asia (% of total merchandise exports) Merchandise exports to developing economies in South Asia are the sum of merchandise exports from the reporting economy to developing economies in the South Asia region according to World Bank classification of economies. Data are as a percentage of total World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TX.VAL.MRCH.R6.ZS Merchandise exports to developing economies in Sub-Saharan Africa (% of total merchandise exports) Merchandise exports to developing economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to developing economies in the Sub-Saharan Africa region according to World Bank classification of economies. Data are as a per World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TX.VAL.MRCH.RS.ZS Merchandise exports by the reporting economy, residual (% of total merchandise exports) Merchandise exports by the reporting economy residuals are the total merchandise exports by the reporting economy to the rest of the world as reported in the IMF's Direction of trade database, less the sum of exports by the reporting economy to high-, low World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TX.VAL.MRCH.WL.CD Merchandise exports by the reporting economy (current US$) Merchandise exports by the reporting economy are the total merchandise exports by the reporting economy to the rest of the world, as reported in the IMF's Direction of trade database. Data are in current US$. World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TX.VAL.MRCH.WR.ZS Merchandise exports to developing economies within region (% of total merchandise exports) Merchandise exports to developing economies within region are the sum of merchandise exports from the reporting economy to other developing economies in the same World Bank region as a percentage of total merchandise exports by the economy. Data are compu World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.

TX.VAL.MRCH.XD.WD Export value index (2000 = 100) Export values are the current value of exports (f.o.b.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's export value indexes are reported for most economies. For selected economies for which UNCT United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.

TX.VAL.OTHR.ZS.WT Computer, communications and other services (% of commercial service exports) Computer, communications and other services (% of commercial service exports) include such activities as international telecommunications, and postal and courier services; computer data; news-related service transactions between residents and nonresidents International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

TX.VAL.SERV.CD.WT Commercial service exports (current US$) Commercial service exports are total service exports minus exports of government services not included elsewhere. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) as the economic output of intangible commod International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

TX.VAL.TECH.CD High-technology exports (current US$) High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery. Data are in current U.S. dollars. United Nations, Comtrade database.

TX.VAL.TECH.MF.ZS High-technology exports (% of manufactured exports) High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery. United Nations, Comtrade database.

TX.VAL.TRAN.ZS.WT Transport services (% of commercial service exports) Transport services (% of commercial service exports) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of go International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

TX.VAL.TRVL.ZS.WT Travel services (% of commercial service exports) Travel services (% of commercial service exports) covers goods and services acquired from an economy by travelers in that economy for their own use during visits of less than one year for business or personal purposes. Travel services include the goods an International Monetary Fund, Balance of Payments Statistics Yearbook and data files.

VC.BTL.DETH Battle-related deaths (number of people) Battle-related deaths are deaths in battle-related conflicts between warring parties in the conflict dyad (two conflict units that are parties to a conflict). Typically, battle-related deaths occur in warfare involving the armed forces of the warring part Uppsala Conflict Data Program, http://www.pcr.uu.se/research/UCDP/.

VC.IDP.TOTL.HE Internally displaced persons (number, high estimate) Internally displaced persons are people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations Internal Displacement Monitoring Centre.

VC.IDP.TOTL.LE Internally displaced persons (number, low estimate) Internally displaced persons are people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations Internal Displacement Monitoring Centre.

VC.IHR.PSRC.P5 Intentional homicides (per 100,000 people) Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by a UN Office on Drugs and Crime's International Homicide Statistics database.

VC.PKP.TOTL.UN Presence of peace keepers (number of troops, police, and military observers in mandate) Presence of peacebuilders and peacekeepers are active in peacebuilding and peacekeeping. Peacebuilding reduces the risk of lapsing or relapsing into conflict by strengthening national capacities at all levels of for conflict management, and to lay the fou UN Department of Peacekeeping Operations, http://www.un.org/en/peacekeeping/.

Economic and Social Indonesia

Tabel 1

Indonesia: Indikator Sosial Ekonomi 1960an - terkini

1960 1970 1980 1990 2000 2010 terkini*)

Ekonomi

PDB per kapita (2010USD) 577 660 1096 1653 2143 3125 3956

PDB per kapita (harga konstan dan 1960=100) 100 114 190 286 371 542 686

PDB per Kapita (current USD) 54 81 517 620 773 2951 3605

Konsumsi RT per kapita (2000 USD) 104 123 178 310 477 648 671

Indeks Produksi Pangan (1961=100) 100 134 193 309 385 603 na

Sosial

Angka Harapan Hidup (tahun) 45.1 51.8 57.8 62.1 65.7 68.9 69.1

Tingkat Kematian bayi (per 1000 kelahiran) 128.1 102.5 75.7 54.1 37.6 25.8 22.8

Angka Kematian Kasar ( per 1000 orang) 20.1 14.6 10.6 8.4 7.4 7.0 6.9

Tingkat Buta Huruf orang Dewasa (% penduduk) 57.1 39.1 28.8 15.9 10.1 7.4 na

Expected Years of Schooling (tahun) na na 8.7 10.4 11.1 12.0 12.9

Mean years of Schooling (tahun) na na 3.1 3.3 4.8 5.8 7.9

Human Development Index (Indeks=100) na na 42.3 48.1 54.3 61.3 68.9

Sumber: BPS, Bank Dunia dan UNDP Database

Sheet1

Indicator Name Indicator Code 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

Agricultural machinery, tractors AG.AGR.TRAC.NO 50 50 50 50 100 100 100 100 100 150 150 150 150 155 210 240 510 1820 1820 2100 2745 3390 3390 3652 3915 4175 4048 4316 4620 4524 4997 5470 5942 6033 6124 5139 4483 4656 4335 4013

Fertilizer consumption (% of fertilizer production) AG.CON.FERT.PT.ZS 111.6578523592 111.0242971584 123.1850403231 102.5829930627 109.0276061748 112.1928849209 117.5629560961 110.9188729708 113.4576141827

Fertilizer consumption (kilograms per hectare of arable land) AG.CON.FERT.ZS 123.9590657836 131.1321521021 131.2093975513 150.5473434795 158.0160930233 168.1390909091 183.2418061674 181.3542372881

Agricultural land (sq. km) AG.LND.AGRI.K2 386000 386000 385500 385500 385000 384500 384500 384500 384000 384000 383500 383500 383000 383000 382560 380460 380460 380460 380000 380000 379500 379500 379000 370520 396790 412920 434850 441370 444350 450830 415240 413510 420160 419710 421870 421630 427220 429220 439230 456770 463000 468810 494060 517660 492460 502000 510000 520000 536000

Agricultural land (% of land area) AG.LND.AGRI.ZS 21.307484668 21.307484668 21.2798842993 21.2798842993 21.2522839305 21.2246835618 21.2246835618 21.2246835618 21.197083193 21.197083193 21.1694828243 21.1694828243 21.1418824555 21.1418824555 21.1175941311 21.0016725823 21.0016725823 21.0016725823 20.9762802431 20.9762802431 20.9486798744 20.9486798744 20.9210795056 20.4529772518 21.9031006254 22.793488521 24.004040694 24.3639495024 24.5284477001 24.8861484789 22.921554232 22.8260569561 23.1931418604 23.1683015285 23.2875351215 23.2742869445 23.582859067 23.693260542 24.2458199242 25.2140408596 25.5579414541 25.8786577389 27.2724763603 28.5752137649 27.1841551803 27.7107702159 28.1523761157 28.7043834906 29.5875952903

Arable land (hectares) AG.LND.ARBL.HA 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18000000 18021000 19500000 20178000 21170000 21156000 20860000 20253000 18081000 18100000 18129000 17126000 17342000 17941000 18500000 18700000 19700000 20500000 20200000 20081000 22406000 24666000 21946000 21500000 22000000 22700000 23600000

Arable land (hectares per person) AG.LND.ARBL.HA.PC 0.1910305409 0.186369666 0.1817847077 0.1772721416 0.1728331353 0.1684765194 0.1642144687 0.1600554731 0.1560075085 0.1520761692 0.1482631552 0.1445693209 0.1409969974 0.137547965 0.1342222565 0.1310214597 0.1279426344 0.1249768099 0.1221136398 0.1193475318 0.1166744446 0.1140984913 0.1116308949 0.1094125257 0.1159891253 0.1176749522 0.1211324454 0.1188493923 0.1151227603 0.1098640963 0.0964567958 0.0950069187 0.0936775057 0.0871603412 0.0869707649 0.0887039585 0.0902159716 0.0899733649 0.0935374741 0.0960657959 0.0934304953 0.0916830264 0.1010010695 0.1098187123 0.0965494653 0.0935113773 0.0946392272 0.0966158268 0.0994042087

Arable land (% of land area) AG.LND.ARBL.ZS 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9361327467 9.9477249016 10.764143809 11.1384048091 11.6859961249 11.6782680217 11.5148738387 11.1798053622 9.9808453441 9.9913334842 10.0073416981 9.4536783011 9.5729118941 9.9035643116 10.2121364341 10.3225379091 10.8745452839 11.3161511838 11.1505489713 11.0848600937 12.3682772402 13.6158139073 12.1143538478 11.8681585586 12.144162246 12.5305674084 13.0273740457

Land under cereal production (hectares) AG.LND.CREL.HA 9319000 10458000 9290000 10626000 9834000 11469000 10063000 11240780 10448440 11073690 10951020 10057690 11836770 11175470 10939970 10463810 10926080 11953780 11397180 11740010 12336880 11049760 12164700 12849830 12342260 13131210 12548620 13543950 13475400 13660490 13190600 14732650 13952330 13843200 15090640 15313270 14495820 15564020 15419560 15293000 14785900 14648030 14835910 15279910 15465090 15132210 15777920 16312510 17044260 17387450

Permanent cropland (% of land area) AG.LND.CROP.ZS 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.4160589985 4.3680343569 4.5976694249 4.9084495769 5.229717869 5.6646996804 5.6757398279 6.4695264329 6.4673184034 6.321036449 6.6721131394 7.2009362045 7.2009362045 7.2009362045 7.2009362045 7.2009362045 7.2014882119 7.7281032475 8.2801106223 8.6665157847 8.8321179971 8.8873187346 8.9977202095 9.7705305343 9.9361327467 10.1017349592 10.4881401216

Land area where elevation is below 5 meters (% of total land area) AG.LND.EL5M.ZS 5.497674 5.497674

Forest area (sq. km) AG.LND.FRST.K2 1185450 994090 978570 944320

Forest area (% of land area) AG.LND.FRST.ZS 65.4377142479 54.8745011233 54.0177856776 52.1271604189

Agricultural irrigated land (% of total agricultural land) AG.LND.IRIG.AG.ZS 16.5290842772 11.7495850706 14.8669010547 16.0134833286

Average precipitation in depth (mm per year) AG.LND.PRCP.MM 2702 2702 2702 2702 2702 2702 2702 2702 2702 2702 2702 2702

Land area (sq. km) AG.LND.TOTL.K2 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570 1811570

Agricultural machinery, tractors per 100 sq. km of arable land AG.LND.TRAC.ZS 0.0277777778 0.0277777778 0.0277777778 0.0277777778 0.0555555556 0.0555555556 0.0555555556 0.0555555556 0.0555555556 0.0833333333 0.0833333333 0.0833333333 0.0833333333 0.0861111111 0.1166666667 0.1333333333 0.2833333333 1.0111111111 1.0111111111 1.1666666667 1.525 1.8833333333 1.8833333333 2.0265246102 2.0076923077 2.0690851422 1.9121398205 2.0400831915 2.2147651007 2.2337431492 2.7636745755 3.0220994475 3.2776214904 3.5227140021 3.5313112674 2.8643888301 2.4232432432 2.4898395722 2.2005076142 1.9575609756

Cereal production (metric tons) AG.PRD.CREL.MT 14367100 16246900 13952800 16074600 15339500 17367400 15591100 20328850 20313080 22156220 22796490 21647980 25179300 25483780 25242090 25873040 26489750 29800800 29888240 33642840 37283500 36818530 40389880 43424230 43362400 45647170 45233880 48328120 50918110 51912830 50944110 56235460 54640840 53510380 57990000 60408920 58147950 59406200 60070440 61575000 59808000 61074980 63024000 65313700 66675000 66064400 70444900 76575000 82028600 84775900

Crop production index (2004-2006 = 100) AG.PRD.CROP.XD 21.31 22.66 21.56 22.83 22.92 23.6 22.74 26.12 26.62 28.17 28.8 28.76 31.23 32.53 31.85 31.6 32.96 35.18 36.91 39.92 42.73 42.01 45.08 48.93 49.99 52.48 53.23 56.28 59.33 61.82 62.49 68.19 68.86 69.45 75.64 75.62 72.67 74.08 75.65 77.91 79.49 84.53 90.29 95.93 100 104.06 107.95 115.2 122.2 122.17

Food production index (2004-2006 = 100) AG.PRD.FOOD.XD 20.19 21.61 20.42 21.95 21.82 22.44 21.65 24.93 25.25 26.98 27.85 27.79 30.23 31.74 31.12 30.79 32.18 34.26 35.76 38.87 41.67 41.52 44.65 48.65 49.75 52.75 53.56 56.62 59.98 62.43 63.51 69.48 70.58 71.92 77.34 77.59 74.84 74.63 75.16 77.81 79.56 85.29 91.15 96.69 99.52 103.79 107.09 113.54 120.78 121.75

1 1.0703318474 1.0113917781 1.0871718673 1.0807330362 1.1114413076 1.0723130263 1.234769688 1.2506191184 1.3363051015 1.3793957405 1.3764239723 1.4972758791 1.5720653789 1.5413571075 1.5250123824 1.5938583457 1.6968796434 1.7711738484 1.9252105002 2.0638930163 2.0564635958 2.211490837 2.4096087172 2.4640911342 2.6126795443 2.6527984151 2.8043585934 2.9707776127 3.0921248143 3.1456166419 3.441307578 3.495789995 3.5621594849 3.8306092125 3.84299158 3.7067855374 3.6963843487 3.7226349678 3.8538880634 3.940564636 4.2243684993 4.5146111937 4.7890044577 4.9291728579 5.1406636949 5.304110946 5.6235760277 5.9821693908 6.0302129767

Livestock production index (2004-2006 = 100) AG.PRD.LVSK.XD 16.9 17.7 17.7 18.43 18.67 18.3 18.18 19.43 19.53 21.67 22.44 23.58 24.14 25.56 26.07 27.16 27.48 28.33 30.68 32.72 34.35 36.31 40.82 43.79 46.56 51.83 53.35 55.45 58.67 62.8 66.72 71.31 76.84 82.45 79.52 83.34 83.05 72.77 68.65 74.36 80.44 89.8 94.51 99.41 95.37 105.22 104.71 106.02 110.42 119.25

Surface area (sq. km) AG.SRF.TOTL.K2 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570 1904570

Cereal yield (kg per hectare) AG.YLD.CREL.KG 1541.7 1553.5 1501.9 1512.8 1559.8 1514.3 1549.3 1808.5 1944.1 2000.8 2081.7 2152.4 2127.2 2280.3 2307.3 2472.6 2424.5 2493 2622.4 2865.7 3022.1 3332.1 3320.3 3379.4 3513.3 3476.2 3604.7 3568.2 3778.6 3800.2 3862.2 3817.1 3916.3 3865.5 3842.8 3944.9 4011.4 3816.9 3895.7 4026.4 4044.9 4169.5 4248.1 4274.5 4311.3 4365.8 4464.8 4694.3 4812.7 4875.7

Trade in services (% of GDP) BG.GSR.NFSV.GD.ZS 5.8903120198 5.6654075059 5.6894054215 5.4889465972 6.8457488671 6.3701700087 7.2501352775 6.7295415479 7.209093432 7.4668019611 7.3232008077 8.259997192 8.7369629928 9.1654718205 9.4042491596 9.5606418706 10.914542299 17.3577626378 12.1246307301 12.6354965114 13.3256485233 12.1167911479 9.6660835766 12.8103633817 12.2347554405 9.0281385206 8.5179116824 8.5236529408 6.6814050033 6.0527533497 6.2451560756

Communications, computer, etc. (% of service imports, BoP) BM.GSR.CMCP.ZS 44.1776710684 39.5721925134 33.8436572489 40.4576566171 55.0730282376 49.7180451128 52.2297311712 47.7203675206 45.2105178158 36.1789970938 32.5411334552 37.8518502716 43.9670925858 45.9705676244 44.7267355982 46.3042464628 49.900644692 48.9987152454 52.3380668256 51.8087023547 52.3366826407 48.6508815357 52.8427871681 88.8582462344

Income payments (BoP, current US$) BM.GSR.FCTY.CD 4154000000 4016000000 4281000000 4889000000 4310000000 3948000000 4215000000 4584000000 5109000000 5599000000 6498000000 6482000000 6015000000 5741000000 7180000000 7218000000 8187000000 10098800000 10887159139.2405 10900883886.076 8939900000 8365464061.67644 7271950421.27491 12912256499.5109 15264309256.0414 16376799712.7186 18993820000 18747210097.7346 17061238334.4782 22679589881.3787 28144188604.6954

Imports of goods and services (BoP, current US$) BM.GSR.GNFS.CD 21540000000 22716000000 22037000000 19286000000 17840000000 16194000000 16972000000 18437000000 21749000000 27511000000 31398000000 34874000000 38222000000 43738000000 54461000000 59379000000 62830000000 44030357373.1649 42974513498.0652 56002459130.4348 50548622608.6956 52696767225.6136 56946590677.3864 71471152278.0404 91510592533.2134 95261792802.1806 109588090000 144935614049.389 111610160174.319 153536398207.794 198479478527.581

Insurance and financial services (% of service imports, BoP) BM.GSR.INSF.ZS 3.8075230092 4.220485397 4.7459986082 3.8877093654 2.7108081792 3.0310150376 3.0495495495 3.2609639601 3.2579518294 3.8688903567 4.1453382084 3.624691358 3.1596587447 3.1114225648 3.3308714919 3.2102516679 3.0649726019 2.7599767362 2.1972021271 2.0653552223 1.8030710928 1.8377948876 1.7217404744 4.5369963941 3.9792592156 3.4085970665 4.2621826854 3.6268310209 7.5266780062 6.1452697146 5.9492847768

Goods imports (BoP, current US$) BM.GSR.MRCH.CD 16542000000 17854000000 17726000000 15047000000 12705000000 11938000000 12532000000 13831000000 16310000000 21455000000 24834000000 26774000000 28376000000 32322000000 40921000000 44240000000 46223000000 31942145700 30598450000 40365376000 34668480000 35651883593 39546174967.4012 50614842997.4068 69461765038.9556 73867847651.2105 85259710000 116690660761.261 88714091162.7571 127447053592.315 166125121728.288

Service imports (BoP, current US$) BM.GSR.NFSV.CD 4998000000 4862000000 4311000000 4239000000 5135000000 4256000000 4440000000 4606000000 5439000000 6056000000 6564000000 8100000000 9846000000 11416000000 13540000000 15139000000 16607000000 12088211673.1649 12376063498.0652 15637083130.4348 15880142608.6957 17044883632.6136 17400415709.9852 20856309280.6336 22048827494.2578 21393945150.9701 24328380000 28244953288.1282 22896069011.5623 26089344615.4793 32354356799.2935

Royalty and license fees, payments (BoP, current US$) BM.GSR.ROYL.CD 990320000 960870000 872228636.997941 1085450000 1327681813.9019 1530107288.81507 1616459043.16398 1786437103.75061

Imports of goods, services and income (BoP, current US$) BM.GSR.TOTL.CD 25694000000 26732000000 26318000000 24175000000 22150000000 20142000000 21187000000 23021000000 26858000000 33110000000 37896000000 41356000000 44237000000 49479000000 61641000000 66597000000 71017000000 54129157373.1649 53861672637.3057 66903343016.5107 59488522608.6956 61062231287.29 64218541098.6613 84383408777.5513 106774901789.255 111638592514.899 128581910000 163682824147.124 128671398508.798 176215988089.173 226623667132.277

Transport services (% of service imports, BoP) BM.GSR.TRAN.ZS 40.0900360144 44.6482928836 49.3017861285 43.5291342298 30.7069133398 33.8580827068 33.2117117117 36.1658706036 38.2570325427 46.1476221929 48.5511882998 44.1283950617 37.2425350396 34.2747021724 35.9010339734 34.6390118238 32.5164087433 30.8568545795 26.4538411137 25.6835100504 24.4139643035 30.2138652567 27.721039339 26.2439632779 33.7920413455 38.2390271766 39.0525386401 49.1933004719 28.4864739225 33.242471793 37.5194046848

Travel services (% of service imports, BoP) BM.GSR.TRVL.ZS 11.924769908 11.5590292061 12.108559499 12.1255012975 11.5092502434 13.3928571429 11.509009009 12.8528006947 13.2744989888 13.8044914135 14.7623400366 14.3950617284 15.6307129799 16.6433076384 16.0413589365 15.8464892001 14.5179743482 17.3844544827 19.010891471 20.4424314518 21.4462809555 19.297459302 17.7144317118 16.814993266 16.2560277051 18.8392337539 20.1571169145 19.6646357818 23.2185737369 24.510135863 22.4968665338

Foreign direct investment, net outflows (% of GDP) BM.KLT.DINV.GD.ZS 0.2253066878 0.3442775759 0.2983198613 0.2638874378 0.0825033349 1.3269122239 1.0721708829 0.7476613643 1.0816679669 1.1562554197 0.4168282491 0.376291898 0.9118874945

Private current transfers, payments (BoP, current US$) BM.TRF.PRVT.CD 470410000 183980000 1293938074.44158 1199583279.71955 1215732595.53871 1696500000 1988536126.8004 2663153246.56063 2940954801.91489 3416335732.37845

Personal transfers and compensation of employees, paid (current US$) BM.TRF.PWKR.CD.DT 913221496.6 1178915744.9 1359066196 1654250000 1971467529.7 2701592136.2 2839937799.4 3163740018.5

Current account balance (BoP, current US$) BN.CAB.XOKA.CD -566000000 -5324000000 -6338000000 -1856000000 -1923000000 -3911000000 -2098000000 -1397000000 -1108000000 -2988000000 -4260000000 -2780000000 -2106000000 -2792000000 -6431000000 -7663000000 -4889000000 4096965770.22987 5782898397.49641 7992091763.19783 6900915637.8044 7823523644.12285 8106792055.95371 1563017799.54063 277554218.390854 10859492464.381 10492590000 125240090.030975 10628489686.077 5144284990.09198 2070020010.69901

Current account balance (% of GDP) BN.CAB.XOKA.GD.ZS -0.6120647335 -5.6210640257 -7.4242230927 -2.1184206455 -2.2017687024 -4.8850460597 -2.7630851611 -1.5734174966 -1.0921076733 -2.6112832701 -3.3237625656 -1.9983284478 -1.3328536083 -1.5783628769 -3.1815837943 -3.3702823928 -2.2660606973 4.2924639811 4.1306018071 4.8430752264 4.3010576015 3.9985174342 3.453042191 0.6085643851 0.0970915339 2.9787082855 2.4276223207 0.0245451108 1.9697710242 0.7265663808 0.2444427371

Net income (BoP, current US$) BN.GSR.FCTY.CD -3073000000 -2993000000 -3650000000 -4061000000 -3542000000 -3216000000 -3654000000 -4092000000 -4547000000 -5190000000 -5581000000 -5664000000 -4987000000 -4693000000 -5874000000 -6008000000 -6332000000 -8189000000 -8996659139.2405 -8443383886.07595 -6935500000 -7047765709.96442 -6217456176.78647 -10917221531.5259 -12926627527.2884 -13789573806.8456 -15524630000 -15155390370.5829 -15140098798.9489 -20789877040.0166 -25666722878.2625

Net trade in goods and services (BoP, current US$) BN.GSR.GNFS.CD 2257000000 -2465000000 -2802000000 2038000000 1531000000 -954000000 1299000000 2441000000 3100000000 1784000000 1059000000 2313000000 2344000000 1282000000 -1538000000 -2592000000 409000000 10819614426.8351 12865957536.7369 14619075649.2737 12316415637.8044 13131251791.0235 12455538881.6376 11341407383.9157 8411229717.7543 19786000661.7644 20913220000 9917006200.62198 21191036277.875 21303866417.485 23524552241.672

Net trade in goods (BoP, current US$) BN.GSR.MRCH.CD 6806000000 1893000000 963000000 5707000000 5822000000 2458000000 4674000000 5678000000 6664000000 5352000000 4801000000 7022000000 8231000000 7901000000 6533000000 5948000000 10075000000 18428826100 20643437521.75 25042017662.7 22696104546.5 23513231458.6371 24563068217.4828 20152287895.5244 17533559389.4656 29659958871.4689 32754140000 22915438273.956 30931651920.2789 30627437343.942 35347268073.413

Net errors and omissions, adjusted (BoP, current US$) BN.KAC.EOMS.CD -1668978875.25608 -2150980216.24265 467472490.43259 -619900612.19658 651229024.71209 -1269408058.29523 -753484747 -932851805.699999 -1315447174.8 744145221.5 91231912.6000013 -1279415603.26 -2931576117.88 -263437807.712643 -2254641469.5281 1318720306.53805 -2645396645.37666 2099324488.91496 2077022806.66725 3829331350.95967 700965345.174586 -1762555223.22607 -3510066633.69843 -3093998286.6207 -136106928.734714 1073502715.5089 -1377701145.0935 -211570243.879887 -2975076422.26311 -1480207782.96668 -4232388930.31992

Foreign direct investment, net (BoP, current US$) BN.KLT.DINV.CD 133000000 225000000 292000000 222000000 310000000 258000000 385000000 576000000 682000000 1093000000 1482000000 1777000000 1648000000 1500000000 3743000000 5594000000 4499000000 -240800000 -1865620963.49087 -4550355285.71428 -2977391857.14286 145085548.722222 -596923827.786241 -1511917230 5271257207.64285 2188448467.00071 2253330000 3418723398.70827 2628247482.66651 11106333134.5372 10437376043.4271

Private capital flows, total (BoP, current US$) BN.KLT.PRVT.CD 180000000 540000000 660000000 212000000 275000000 526000000 297000000 478000000 509000000 1000000000 1470000000 1689000000 3453000000 5377000000 7843000000 10599000000 1867000000 -2118800000 -3657970963.49087 -6461085478.54951 -3221194294.90297 1366935489.45365 1654367282.75451 2897238925.79576 9460842728.56797 6465074992.62016 7819410000 5182974868.32728 12964477809.5875 24308316805.138 14635651183.2726

Private capital flows, total (% of GDP) BN.KLT.PRVT.GD.ZS 0.1946495619 0.5701304609 0.7731125341 0.241974772 0.3148655191 0.657001848 0.3911517125 0.5383633238 0.5016992831 0.8739234505 1.1469321529 1.2140923555 2.1853482951 3.0397052969 3.8801371013 4.6615715883 0.8653580122 -2.2199044838 -2.6128111604 -3.9153107777 -2.007638252 0.6986257899 0.7046683802 1.128046287 3.309507374 1.7733400074 1.809140951 1.0157825064 2.4026981714 3.4332479244 1.7282821497

Portfolio investment, excluding LCFAR (BoP, current US$) BN.KLT.PTXL.CD 47000000 315000000 368000000 -10000000 -35000000 268000000 -88000000 -98000000 -173000000 -93000000 -12000000 -88000000 1805000000 3877000000 4100000000 5005000000 -2632000000 -1878000000 -1792350000 -1910730192.83523 -243802437.760112 1221849940.73143 2251291110.54075 4409156155.79576 4189585520.92512 4276626525.61945 5566080000 1764251469.61901 10336230326.9209 13201983670.6007 4198275139.84555

Changes in net reserves (BoP, current US$) BN.RES.INCL.CD 373978875.25608 1852980216.24265 -183472490.43259 -981099387.80342 -510229024.71209 1003408058.29523 -629515253 112851805.699999 -494552825.2 -2251145221.5 -1528231912.6 -2069584396.74 -594423882.12 -783562192.287357 -1573358530.4719 -4502720306.53805 8137396645.37666 3436809740.85517 -1915622537.83544 -3925623425.49017 15040611.3389099 -4957888541.74212 -3647266568.15626 -321023188.7157 -486913620.504061 -14957782897.4262 -12705798854.9065 1918150011.52785 -12505566040.0779 -30284440312.189 -11855630932.0658

Net current transfers (BoP, current US$) BN.TRF.CURR.CD 250000000 134000000 114000000 167000000 88000000 259000000 257000000 254000000 339000000 418000000 262000000 571000000 537000000 619000000 981000000 937000000 1034000000 1466351343.39482 1913600000 1816400000 1520000000 1740037563.06377 1868709351.10255 1138831947.15089 4792952027.9249 4863065609.46129 5104000000 5363624259.99181 4577552207.15096 4630295612.6237 4212190647.28933

Net capital account (BoP, current US$) BN.TRF.KOGT.CD 333918558 350322889 546200000 294452536.896192 95824593.216 49845904.2690753 752039.3340038

Grants, excluding technical cooperation (BoP, current US$) BX.GRT.EXTA.CD.WD 86910000 67010000 84660000 86270000 93250000 68630000 58900000 73240000 71180000 137150000 108980000 124400000 92090000 103880000 123120000 136580000 135740000 195290000 201650000 214830000 285860000 276340000 319910000 241220000 233800000 260580000 205440000 207410000 276870000 425300000 369130000 262800000 306500000 309250000 342990000 1049630000 1010600000 1001510000 842580000 978490000 851330000

Technical cooperation grants (BoP, current US$) BX.GRT.TECH.CD.WD 25730000 36840000 39940000 54610000 78100000 78740000 83830000 86610000 115090000 142270000 183570000 195920000 218080000 209990000 201410000 199850000 241740000 282980000 345800000 368560000 395710000 442160000 426490000 423420000 443140000 491480000 407450000 370660000 315150000 338920000 418480000 402410000 459520000 487830000 427810000 454470000 554840000 523520000 515070000 467910000 520360000

ICT service exports (BoP, current US$) BX.GSR.CCIS.CD 973130000 1145550000 1220351167.32689 1483650000 1273814236.94062 1156598415.45835 1239735941.3016 1623739488.93092

ICT service exports (% of service exports, BoP) BX.GSR.CCIS.ZS 8.0788323825 8.8620291105 10.5933381136 11.8811191387 8.3547861115 8.7917792189 7.3944451613 7.908474006

Communications, computer, etc. (% of service exports, BoP) BX.GSR.CMCP.ZS 34.0757238307 30.753968254 18.315018315 10.701754386 30.0947867299 18.7203791469 9.3896713615 3.0679327977 10.2933333333 10.6511254019 8.0085046067 7.4019463285 6.6683505936 4.6278924328 4.3883708173 6.2888316412 4.2212937617 5.0011163206 5.3536379703 4.5919826801 4.0723913375 4.7646644266 7.5070724651 38.7218055035 40.0780718846 41.2771877691 37.0504490104 31.1179068532 37.3975362761 40.487669576 42.4862224518

Income receipts (BoP, current US$) BX.GSR.FCTY.CD 1081000000 1023000000 631000000 828000000 768000000 732000000 561000000 492000000 562000000 409000000 917000000 818000000 1028000000 1048000000 1306000000 1210000000 1855000000 1909800000 1890500000 2457500000 2004400000 1317698351.71202 1054494244.48844 1995034967.98499 2337681728.75304 2587225905.87303 3469190000 3591819727.15172 1921139535.5293 1889712841.36208 2477465726.43287

Exports of goods and services (BoP, current US$) BX.GSR.GNFS.CD 23797000000 20251000000 19235000000 21324000000 19371000000 15240000000 18271000000 20878000000 24849000000 29295000000 32457000000 37187000000 40566000000 45020000000 52923000000 56787000000 63239000000 54849971800 55840471034.8021 70621534779.7085 62865038246.5 65828019016.6371 69402129559.024 82812559661.9561 99921822250.9677 115047793463.945 130501310000 154852620250.011 132801196452.194 174840264625.279 222004030769.253

Insurance and financial services (% of service exports, BoP) BX.GSR.INSF.ZS 0.037070923 0.0513897297 2.528178995 2.9547833082 1.8648002978 2.4683962952 2.1283630403 1.510865476 2.1136187766 2.0951727982

Goods exports (BoP, current US$) BX.GSR.MRCH.CD 23348000000 19747000000 18689000000 20754000000 18527000000 14396000000 17206000000 19509000000 22974000000 26807000000 29635000000 33796000000 36607000000 40223000000 47454000000 50188000000 56298000000 50370971800 51241887521.75 65407393662.7 57364584546.5 59165115051.6371 64109243184.884 70767130892.9312 86995324428.4212 103527806522.679 118013850000 139606099035.217 119645743083.036 158074490936.257 201472389801.701

Service exports (BoP, current US$) BX.GSR.NFSV.CD 449000000 504000000 546000000 570000000 844000000 844000000 1065000000 1369000000 1875000000 2488000000 2822000000 3391000000 3959000000 4797000000 5469000000 6599000000 6941000000 4479000000 4598583513.05208 5214141117.00854 5500453700 6662903965 5292886374.14 12045428769.0249 12926497822.5465 11519986941.2661 12487460000 15246521214.7938 13155453369.1582 16765773689.022 20531640967.5523

Royalty and license fees, receipts (BoP, current US$) BX.GSR.ROYL.CD 221187500 263330000 13445052.7973301 30690000 27211956.7544272 38128141.0043154 59560687.4038917 77695691.7130115

Exports of goods, services and income (BoP, current US$) BX.GSR.TOTL.CD 24878000000 21274000000 19866000000 22152000000 20139000000 15972000000 18832000000 21370000000 25411000000 29704000000 33374000000 38005000000 41594000000 46068000000 54229000000 57997000000 65094000000 56759771800 57730971034.8021 73079034779.7085 64869438246.5 67145717368.3491 70456623803.5125 84807594629.9411 102259503979.721 117635019369.819 133970500000 158444439977.163 134722335987.723 176729977466.641 224481496495.686

Transport services (% of service exports, BoP) BX.GSR.TRAN.ZS 15.144766147 13.6904761905 9.1575091575 8.5964912281 4.9763033175 4.6208530806 3.8497652582 3.2140248356 2.88 2.8135048232 2.8703047484 2.6245945149 1.1113917656 15.8774613225 16.1688715666 18.9189053369 21.9855174084 18.2470143055 17.6693258677 18.366340684 18.5395405924 15.8980599158 16.6835008888

Travel services (% of service exports, BoP) BX.GSR.TRVL.ZS 50.7795100223 55.5555555556 72.5274725275 80.701754386 64.9289099526 76.6587677725 86.7605633803 93.7180423667 86.8266666667 86.5353697749 89.1211906449 89.9734591566 92.2202576408 95.3721075672 95.6116291827 93.7111683588 95.7787062383 94.9988836794 94.6463620297 95.4080173199 95.9276086625 79.3208033278 76.2726662387 39.8311101646 34.9816273988 38.6109976276 42.8118288267 48.3873894226 42.5520576555 41.5006517317 38.7351038612

Foreign direct investment, net inflows (BoP, current US$) BX.KLT.DINV.CD.WD 133000000 225000000 292000000 222000000 310000000 258000000 385000000 576000000 682000000 1093000000 1482000000 1777000000 2004000000 2109000000 4346000000 6194000000 4677000000 -240800000 -1865620963.49087 -4550355285.71428 -2977391857.14286 145085548.722222 -596923827.786241 1896082770 8336257207.6 4914201435.4 6928480000 9318453649.8 4877369178.4 13770580771 18159533731

Foreign direct investment, net inflows (% of GDP) BX.KLT.DINV.WD.GD.ZS 0.1438243985 0.2375543587 0.3420437272 0.2533886764 0.3549393124 0.3222556593 0.5070485162 0.648739068 0.6722179 0.9551983314 1.1562948644 1.2773487956 1.268299445 1.1922519009 2.1500797963 2.7241979826 2.1677982985 -0.2522904473 -1.3325735286 -2.7574399304 -1.8556861947 0.0741516384 -0.2542563258 0.7382439569 2.9161149268 1.3479426023 1.6030105719 1.8262720628 0.9039196317 1.9449235514 2.1444073516

Portfolio equity, net inflows (BoP, current US$) BX.PEF.TOTL.CD.WD 0 0 0 0 0 0 0 0 0 0 0 0 1805000000 1900000000 1493000000 1819000000 -4987000000 -4371000000 -782350000 -1021180192.83523 442090511.951675 876551079.950157 1130491110.54075 2042529155.79576 -165274363.22 1897589872 3558960000 322475762.75 787278950.18 2131563489.2 -326105110.99

Current transfers, receipts (BoP, current US$) BX.TRF.CURR.CD 250000000 134000000 114000000 167000000 88000000 259000000 257000000 254000000 339000000 418000000 262000000 571000000 537000000 619000000 981000000 937000000 1034000000 1466351343.39482 1913600000 1816400000 1520000000 2210447563.06377 2052689351.10255 2432770021.59247 5992535307.64445 6078798205 6800500000 7352160386.79221 7240705453.71159 7571250414.53859 7635626379.66778

Workers' remittances, receipts (BoP, current US$) BX.TRF.PWKR.CD 10000000 53000000 61000000 71000000 86000000 99000000 167000000 166000000 130000000 229000000 346000000 449000000 651000000 796000000 725000000 958170000 1109000000 1190200000 1046000000 1258917563.06377 1488709351.10255 1700010021.59247 5296249000.00001 5560250000 6003810000 6617865564.14697 6617953588.06461 6734939812.96658 6735872884.41679

Personal transfers and compensation of employees, received (current US$) BX.TRF.PWKR.CD.DT 10000000 53000000 61000000 71000000 86000000 99000000 167000000 166000000 130000000 229000000 346000000 449000000 651000000 796000000 725000000 958169982.9 1109000000 1190199951 1046000000 1258917603 1488709351 1866314941 5419620728.8 5722357516.7 6174340000 6794200933.4 6792907280.4 6916051073.1 6923970511.4

Personal transfers and compensation of employees, received (% of GDP) BX.TRF.PWKR.DT.GD.ZS 0.0117138263 0.060493693 0.069842897 0.0886827589 0.1132627854 0.1115020273 0.1646046764 0.1450712928 0.1014293741 0.1646105088 0.2189778483 0.2538269813 0.3220667159 0.3500906674 0.3360388639 1.0038917506 0.7921352044 0.7212414557 0.651928887 0.6434190287 0.6341073218 0.7266537878 1.8958432437 1.5696160574 1.4285286664 1.3315577692 1.2589250521 0.9768063409 0.8176318559

S&P Global Equity Indices (annual % change) CM.MKT.INDX.ZG 16.3999996185 -73.6289978027 -28.0748996735 95.0999984741 -61.0417098999 -18.5326080322 33.2900009155 69.7200012207 39.3400001526 9.0793650794 67.9278230501 49.2663200462 -61.072838455 130.0666750379 37.8942154062 1.1358723171

Market capitalization of listed companies (current US$) CM.MKT.LCAP.CD 253000000 2249999872 8080000000 6819999744 12000000000 32999999488 47200002048 66585000000 91016000000 29105000000 22104000000 64087223300 26834210000 23005650000 29991370000 54659060000 73250640000 81428120000 138886360000 211692970000 98760599266.055 178190945563.824 360388099886.427 390106865177.833

Market capitalization of listed companies (% of GDP) CM.MKT.LCAP.GD.ZS 0.2849496254 2.2177275498 7.06130148 5.3211408091 8.625878192 20.8851701767 26.6829265836 32.9413399069 40.0299650608 13.4902222529 23.1587543465 45.7761458323 16.2610867745 14.33847782 15.3282614429 23.2817172317 28.5202962509 28.4844565464 38.0958827157 48.9784294541 19.3555422527 33.0240110987 50.9003443478 46.0666029205

Listed domestic companies, total CM.MKT.LDOM.NO 24 57 125 141 155 174 216 238 253 282 288 277 290 316 331 333 331 335 344 383 396 398 420 440

Stocks traded, total value (current US$) CM.MKT.TRAD.CD 4000000 541000000 3992000000 2921999872 3903000064 9157999616 11800999936 14403000000 32142000000 42927000000 10610690000 19903460000 14310690000 9666880000 13041840000 14774350000 27561460000 41900080000 48830560000 112851080000 110677616650.766 115309506142.384 129546386041.381 139617767077.532

Stocks traded, total value (% of GDP) CM.MKT.TRAD.GD.ZS 0.0045051324 0.533240299 3.4887024144 2.2798201388 2.805566928 5.7959510129 6.6712966365 7.1255405674 14.1364500416 19.8967452552 11.117008829 14.2166197974 8.6720410958 6.0249697126 6.6655418948 6.2930507583 10.73111449 14.6571111804 13.3939955421 26.1098356767 21.6910924137 21.3702351631 18.2968185148 16.4870624199

Stocks traded, turnover ratio (%) CM.MKT.TRNR 43.2281284591 77.2894491668 39.2214754658 41.4771532103 40.7022209787 29.4289269576 25.3161659986 40.7890812876 71.4729314608 41.4407233104 46.1844239772 31.4792441795 38.7917622562 49.217257876 34.9067334921 43.0951835553 54.1769018578 44.3280532446 64.3797681968 71.3005921706 83.2705274948 48.1067309008 37.2068497663

Net bilateral aid flows from DAC donors, Australia (current US$) DC.DAC.AUSL.CD 1540000 1070000 4250000 7040000 12660000 17990000 17090000 24430000 26450000 32100000 33200000 29460000 26720000 36010000 44190000 48050000 44750000 45900000 38730000 56490000 46790000 42010000 48220000 71660000 83100000 77380000 72870000 77020000 85650000 93050000 107880000 84910000 78550000 74060000 72280000 72020000 59210000 71120000 86500000 106110000 184670000 240230000 335060000 325230000 342140000 356200000

Net bilateral aid flows from DAC donors, Austria (current US$) DC.DAC.AUTL.CD 0 0 0 10000 120000 330000 -1170000 -1170000 0 0 0 0 0 0 270000 870000 400000 610000 380000 370000 66610000 7610000 200000 2980000 3330000 490000 190000 550000 6860000 4400000 230000 -9990000 -6110000 -4970000 -1080000 10560000 16150000 11100000 10540000 7430000 8520000 4770000 520000 370000 550000 1360000 2640000 1710000 1110000 1950000 850000

Net bilateral aid flows from DAC donors, Belgium (current US$) DC.DAC.BELL.CD 0 0 0 0 0 0 0 10000 410000 1650000 3700000 5800000 7000000 12080000 14470000 14460000 13240000 13980000 4930000 16200000 20550000 13560000 12940000 12090000 3240000 3390000 11270000 5840000 6230000 10740000 -1590000 37560000 2500000 15410000 1540000 -1190000 7110000 -4100000 1450000 1060000 980000 1170000 1400000 1400000 -6910000 -450000 10340000 -10080000 -6550000 -6190000 -5800000

Net bilateral aid flows from DAC donors, Canada (current US$) DC.DAC.CANL.CD 1120000 600000 500000 450000 440000 80000 100000 500000 900000 2470000 3120000 2080000 12990000 17450000 25820000 34100000 22350000 11770000 14410000 8810000 14440000 21190000 26790000 10580000 25970000 34120000 52070000 42970000 40120000 33430000 48430000 42660000 33610000 33930000 23870000 15720000 18000000 18740000 18460000 26310000 26450000 18780000 11550000 21630000 9250000 95890000 37280000 53440000 82410000 20020000 10860000

Net bilateral aid flows from DAC donors, European Union institutions (current US$) DC.DAC.CECL.CD 140000 1520000 1450000 750000 280000 0 0 0 0 4070000 4390000 130000 3130000 450000 9640000 790000 170000 2660000 2190000 1250000 1350000 30710000 9460000 6480000 3680000 8580000 7330000 6340000 8310000 13860000 12400000 12020000 12950000 13460000 14200000 25330000 22660000 15440000 14850000 28730000 37680000 28370000 23940000 27970000 42590000 72130000 137240000 132640000 54510000 113130000 105450000

Net bilateral aid flows from DAC donors, Switzerland (current US$) DC.DAC.CHEL.CD 0 0 0 20000 0 0 60000 30000 110000 80000 260000 80000 630000 810000 2740000 6130000 5920000 1190000 1360000 1900000 3580000 2840000 3410000 4150000 4270000 6030000 9690000 7380000 28430000 21370000 19440000 13800000 29730000 26140000 22240000 13850000 10070000 8010000 5540000 5610000 3490000 3270000 6340000 3920000 2600000 19750000 1800000 -70000 -1910000 5520000 5000000

Net bilateral aid flows from DAC donors, Germany (current US$) DC.DAC.DEUL.CD -110000 -250000 3580000 7560000 14160000 15130000 3750000 26950000 21610000 8520000 24620000 43990000 59950000 46580000 57650000 43970000 35620000 24510000 26060000 29960000 65640000 173620000 140060000 85470000 92930000 86910000 126100000 61770000 97640000 52360000 99010000 135820000 116360000 279440000 265820000 4460000 -105980000 115220000 212800000 -19470000 6380000 29920000 78390000 -91100000 -8590000 164670000 50390000 31410000 29730000 -34840000 -12600000

Net bilateral aid flows from DAC donors, Denmark (current US$) DC.DAC.DNKL.CD 0 0 0 0 0 0 0 0 160000 610000 640000 1020000 1670000 290000 820000 3900000 320000 -380000 -170000 150000 100000 6140000 50000 130000 80000 -240000 -160000 340000 640000 11120000 4860000 2240000 3740000 3990000 6180000 2210000 760000 1710000 1510000 1880000 1400000 3650000 1890000 2740000 3020000 32240000 6420000 7060000 7160000 10370000 12460000

Net bilateral aid flows from DAC donors, Spain (current US$) DC.DAC.ESPL.CD 0 0 0 0 0 0 0 0 0 70000 23160000 21490000 9490000 55430000 45340000 44390000 42410000 42120000 2110000 13840000 66120000 41350000 7850000 9680000 10890000 33720000 3920000 -16210000 9450000 3410000 -10590000

Net bilateral aid flows from DAC donors, Finland (current US$) DC.DAC.FINL.CD 0 0 0 0 10000 0 0 0 30000 180000 520000 260000 350000 940000 510000 1440000 1410000 1800000 3260000 5780000 2680000 3080000 1810000 860000 1560000 780000 580000 360000 320000 1700000 650000 410000 420000 660000 110000 8460000 5310000 5470000 1820000 2130000 1800000

Net bilateral aid flows from DAC donors, France (current US$) DC.DAC.FRAL.CD 0 0 0 0 0 0 0 22700000 18900000 17300000 14800000 28400000 12990000 24500000 30840000 36460000 26900000 12700000 30690000 24780000 43500000 43720000 27130000 66300000 34800000 20630000 39230000 37330000 57090000 108940000 122410000 126470000 168780000 113760000 107650000 88360000 28440000 12560000 24410000 21190000 21700000 26100000 44810000 57040000 -28240000 29300000 -55670000 -84030000 103530000 187130000 262490000

Net bilateral aid flows from DAC donors, United Kingdom (current US$) DC.DAC.GBRL.CD 0 0 110000 150000 90000 30000 10000 1930000 2630000 5550000 6310000 14160000 16940000 19520000 15700000 12960000 7290000 8650000 11330000 18680000 18400000 11580000 15560000 10980000 13880000 37990000 7310000 10430000 17220000 14490000 22380000 38890000 32680000 34080000 34060000 56210000 46080000 57220000 40060000 40660000 33860000 23440000 31720000 37170000 37360000 24090000 101560000 71480000 100690000 68760000 26850000

Net bilateral aid flows from DAC donors, Greece (current US$) DC.DAC.GRCL.CD 0 0 70000 30000 0 0 10000 10000 0 170000 570000 90000 50000 80000 70000

Net bilateral aid flows from DAC donors, Ireland (current US$) DC.DAC.IRLL.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 100000 0 0 0 0 20000 10000 70000 0 10000 50000 170000 70000 140000 30000 70000 0 30000 8190000 640000 410000 80000 1190000 10000

Net bilateral aid flows from DAC donors, Italy (current US$) DC.DAC.ITAL.CD -130000 -110000 1260000 720000 1980000 5520000 0 10000 31690000 34160000 18730000 50720000 -3230000 20000 -1970000 240000 10370000 -1700000 -2200000 -1430000 3270000 -1930000 -1270000 4380000 1700000 1220000 11840000 19430000 1300000 17480000 9840000 14310000 12470000 72050000 39510000 16630000 670000 -490000 -1830000 1100000 1270000 940000 2330000 3340000 -16420000 3350000 -25310000 -16950000 -19450000 -16270000 -14410000

Net bilateral aid flows from DAC donors, Japan (current US$) DC.DAC.JPNL.CD 14280000 30810000 22040000 17930000 15010000 21520000 50580000 112930000 83730000 65840000 125840000 111890000 103200000 142860000 221090000 197920000 200480000 148350000 227590000 226900000 350030000 299800000 294550000 235460000 167700000 161330000 160830000 707320000 984910000 1145270000 867780000 1065510000 1356710000 1148890000 886170000 892420000 965530000 496860000 828470000 1605840000 970100000 860070000 538300000 1141780000 -318540000 1223130000 -90250000 -222460000 -284920000 -512790000 61140000

Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) DC.DAC.KORL.CD 330000 80000 580000 2720000 7280000 6020000 1730000 2590000 2020000 15390000 19550000 9330000 3790000 23000000 14670000 30170000 16930000 18320000 18900000 28780000 18940000 27760000 24440000

Net bilateral aid flows from DAC donors, Luxembourg (current US$) DC.DAC.LUXL.CD 0 20000 20000 20000 30000 20000 0 0 250000 240000 0 0 80000 190000 30000 50000 1190000 520000 310000 500000 490000

Net bilateral aid flows from DAC donors, Netherlands (current US$) DC.DAC.NLDL.CD 21900000 25900000 37000000 0 0 0 18700000 25730000 15880000 46990000 44840000 53380000 67570000 54090000 44200000 39680000 44270000 43080000 75800000 85410000 68030000 105250000 61840000 78030000 56620000 90470000 140280000 156210000 161500000 190130000 139440000 7960000 -42580000 -48980000 -54500000 -62510000 -48780000 -44550000 71930000 143960000 119650000 127270000 76890000 -520000 175990000 75620000 42430000 75490000 81090000 34360000

Net bilateral aid flows from DAC donors, Norway (current US$) DC.DAC.NORL.CD 0 0 0 0 0 0 0 0 0 20000 30000 20000 150000 130000 180000 100000 480000 3500000 2690000 1460000 3740000 830000 4130000 1070000 1880000 1560000 4230000 630000 1990000 480000 -180000 -220000 11780000 3090000 1320000 21150000 13720000 9160000 3750000 8590000 5800000 4620000 6050000 6570000 7370000 45090000 10260000 16410000 10660000 12890000 41940000

Net bilateral aid flows from DAC donors, New Zealand (current US$) DC.DAC.NZLL.CD 0 0 1970000 2190000 3960000 7090000 4170000 2700000 2780000 2810000 3070000 4520000 4880000 4060000 2900000 1460000 2390000 2100000 2330000 2240000 3120000 2350000 2580000 2790000 3200000 3280000 3460000 4230000 3240000 3920000 2880000 2990000 4470000 4840000 6530000 13040000 8760000 13160000 12110000 5140000 6540000

Net bilateral aid flows from DAC donors, Portugal (current US$) DC.DAC.PRTL.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 40000 80000 0 0 2110000 2260000 0 90000 40000 0

Net bilateral aid flows from DAC donors, Sweden (current US$) DC.DAC.SWEL.CD 0 0 450000 490000 440000 0 0 0 0 20000 0 0 0 20000 0 0 0 0 0 320000 10000 0 0 0 0 0 0 0 0 50000 200000 390000 820000 590000 520000 1050000 1310000 610000 2970000 4070000 3740000 1580000 5940000 9120000 21600000 23900000 16440000 12150000 11580000 5940000

Net bilateral aid flows from DAC donors, Total (current US$) DC.DAC.TOTL.CD 81200000 111470000 154390000 105080000 63520000 41230000 80910000 231590000 315830000 319810000 453440000 547220000 453200000 518900000 549430000 527390000 523850000 401530000 543160000 633010000 845580000 830240000 761390000 625640000 552390000 511320000 612210000 1128830000 1506530000 1717710000 1533110000 1739240000 1880770000 1842290000 1481070000 1243670000 1038140000 783660000 1252420000 2112500000 1585450000 1396530000 1200610000 1638590000 -57860000 2332510000 758100000 524050000 647810000 446030000 1093790000

Net bilateral aid flows from DAC donors, United States (current US$) DC.DAC.USAL.CD 44000000 53000000 88000000 77000000 31000000 -2920000 26510000 44750000 122920000 151000000 186000000 227000000 158000000 158000000 82000000 91000000 127000000 102000000 142000000 181000000 117000000 103000000 72000000 80000000 61000000 43000000 46000000 36000000 22000000 31000000 31000000 18000000 -1000000 -6000000 -17000000 -7000000 -57000000 -51000000 36580000 207260000 174190000 141010000 225750000 210880000 68870000 155640000 190100000 117340000 115120000 121290000 180300000

External debt stocks, total (DOD, current US$) DT.DOD.DECT.CD 1095383000 4982261000 5863064000 7270798000 9100923000 11497813000 14010055000 16470547000 18045709000 18623753000 20937702000 22761141000 25133287000 30229381000 32025242000 36714624000 42914289000 52526345000 54053868000 59380148000 69848499000 79523030000 87978588000 89146947000 107808954000 124388680000 128988712000 136322465000 151466804000 151788595000 143655149000 132347307000 128114943000 133779579000 137487822000 141820095000 135959423000 147854466000 157906449000 179394490000 195172097000 213540848000

External debt stocks (% of GNI) DT.DOD.DECT.GN.ZS 11.2950968176 50.548813423 51.1639165557 43.0919008152 34.3846907257 36.6938312195 36.0640416799 34.6110992334 33.886874289 35.3122629749 27.989223442 25.4522042124 27.8870833934 36.9207183618 38.8184968955 44.3538838957 56.4630189385 73.0502801171 63.8317880834 61.2836908639 63.9586985699 71.620740089 72.1755422851 58.652212747 62.625312486 63.4028480743 58.2930166714 65.089039949 168.1777985936 117.3583096076 95.5678535545 92.2846789518 74.3222004974 59.2608844813 56.1057466489 52.1478258884 38.9526328234 35.6756054252 32.0875274444 34.4529306831 28.3631224099 25.9562407841

Use of IMF credit (DOD, current US$) DT.DOD.DIMF.CD 0 136091000 116300000 23114000 0 0 0 0 0 0 0 0 0 445100000 413100000 46090000 51330000 716228000 622925000 608325000 493912000 165537000 0 0 0 0 0 2970336000 9089988000 10576254000 11148904000 9413732000 9186352000 10630687000 10057237000 8148492000 359485000 377610000 368057000 3104714000 3049935000 3040508000

External debt stocks, long-term (DOD, current US$) DT.DOD.DLXF.CD 1095383000 4375373000 5164944000 6529684000 8201923000 10362813000 12627055000 14545547000 16259709000 16515753000 18162702000 19487141000 21517287000 25145281000 26204142000 30619534000 36396959000 45449818000 46703943000 50796823000 58219287000 65042693000 69921488000 71159947000 88351954000 98422380000 96758272000 100487129000 122264116000 121183261000 110818221000 102902551000 101302567000 103672145000 105406585000 122649103000 123391638000 128821457000 137050102000 152240276000 159074892000 172326980000

External debt stocks, private nonguaranteed (PNG) (DOD, current US$) DT.DOD.DPNG.CD 0 649000000 913000000 1285000000 1844000000 2369000000 2624000000 2842000000 3040000000 3140000000 3142000000 3579000000 3200000000 3652400000 3930800000 3836500000 3778400000 4571000000 5545200000 6556300000 10260500000 13176000000 16281000000 14029000000 24440950000 33123191000 36694340000 44468771000 54728300000 47264868000 41169275000 34405214000 30026378000 29753665000 33546406000 45243994000 46766267000 48506581000 49296641000 54793124000 58782824000 69775305000

External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) DT.DOD.DPPG.CD 1095383000 3726373000 4251944000 5244684000 6357923000 7993813000 10003055000 11703547000 13219709000 13375753000 15020702000 15908141000 18317287000 21492881000 22273342000 26783034000 32618559000 40878818000 41158743000 44240523000 47958787000 51866693000 53640488000 57130947000 63911004000 65299189000 60063932000 56018358000 67535816000 73918393000 69648946000 68497337000 71276189000 73918480000 71860179000 77405109000 76625371000 80314876000 87753461000 97447152000 100292068000 102551675000

External debt stocks, short-term (DOD, current US$) DT.DOD.DSTC.CD 0 470797000 581820000 718000000 899000000 1135000000 1383000000 1925000000 1786000000 2108000000 2775000000 3274000000 3616000000 4639000000 5408000000 6049000000 6466000000 6360299000 6727000000 7975000000 11135300000 14314800000 18057100000 17987000000 19457000000 25966300000 32230440000 32865000000 20112700000 20029080000 21688024000 20031024000 17626024000 19476747000 22024000000 11022500000 12208300000 18655399000 20488290000 24049500000 33047270000 38173360000

Short-term debt (% of total reserves) DT.DOD.DSTC.IR.ZS 250.6646258106 100.3044735616 88.5181368008 59.928101154 191.6168259927 91.9426965374 75.8886339411 66.7229549691 50.1286462018 40.7910754818 52.4006677857 79.251642341 94.6238641899 94.3809558079 100.9976274609 122.8198474093 89.6451711654 106.4106428182 119.0398393614 128.630774939 138.2005723981 157.2641639025 144.1952030092 146.0611022067 174.1820898889 166.169261856 187.9417691865 85.2022059799 73.2455977052 73.88708402 71.2755596734 55.023576484 53.7197639593 60.6542401734 31.7369599715 28.6599726277 32.7657067259 39.6747515852 36.3731003224 34.3487540689 34.6600113401

Short-term debt (% of exports of goods, services and income) DT.DOD.DSTC.XP.ZS 13.1602218828 16.9972736674 23.3514547468 24.4131455399 30.0362480759 40.4833458552 33.7738901869 31.4787084698 31.3840462792 37.4875437651 42.8920716726 47.5124325747 43.244217916 42.2353911609 47.8826826974 55.5725985827 50.488524288 35.4347795317 34.6938214289 29.6774910416 30.878984837 26.2504068626 27.6435996342 25.969372314 10.7789492135 10.3781170483 13.9250051317 12.9308986816 17.8511601834 18.6993007489 17.0051254094

Short-term debt (% of total external debt) DT.DOD.DSTC.ZS 0 9.4495 9.9235 9.8751 9.8781 9.8714 9.8715 11.6875 9.8971 11.3189 13.2536 14.3842 14.3873 15.346 16.8867 16.4757 15.0672 12.1088 12.445 13.4304 15.9421 18.0008 20.5244 20.1768 18.0477 20.8751 24.987 24.1083 13.2786 13.1954 15.0973 15.1352 13.758 14.5588 16.0189 7.7722 8.9794 12.6174 12.975 13.4059 16.9324 17.8764

IBRD loans and IDA credits (DOD, current US$) DT.DOD.MWBG.CD 211174000 374870000 630653000 868753000 1059384000 1264416000 1605480000 1940922000 2441849000 2898976000 3176107000 4434150000 5914558000 8256248000 8863664000 9395822000 10384701000 11426099000 11453393000 12079592000 12784569000 13258744000 11874037000 10706352000 11385830000 12106230000 12428293000 12156957000 11522949000 10658668000 9939149000 9132342000 8740862000 8370641000 8973924000 10110817000 11366849000 11993992000

Present value of external debt (current US$) DT.DOD.PVLX.CD 180032557350

Present value of external debt (% of exports of goods, services and primary income) DT.DOD.PVLX.EX.ZS 105.37778747

Present value of external debt (% of GNI) DT.DOD.PVLX.GN.ZS 26.586030829

Net financial flows, bilateral (NFL, current US$) DT.NFL.BLAT.CD 0 221430000 317928000 398351000 328844000 330585000 548734000 486122000 521087000 303444000 412494000 555359000 448746000 571594000 497968000 188224000 240137000 1181618000 1160731000 1525866000 1297156000 1934941000 2329560000 1490359000 1665435000 638976000 541550000 616005000 1375568000 1950680000 817594000 559096000 6771000 94149000 -1906499000 -668967000 -1467450000 -3187823000 -2048666000 -1102758000 5853000 -1579661000

Portfolio investment, bonds (PPG + PNG) (NFL, current US$) DT.NFL.BOND.CD 97854000 62747000 39743000 41179000 311252000 358452000 -44946000 -40377000 268578000 -102706000 -158321000 -176389000 26425000 382648000 155321000 8448000 2248137000 3743795000 3119549000 -1457760000 -2050260000 -1376400000 -405632000 -350000000 1440000000 1711203000 1565585000 1267035000 4187047000 5112499000 2329035000 1619000000

Net official flows from UN agencies, IAEA (current US$) DT.NFL.IAEA.CD 470000 560000 660000 560000 380000

Net official flows from UN agencies, IFAD (current US$) DT.NFL.IFAD.CD 0 0 470000 2730000 3590000 3510000 12080000 13230000 15550000 10780000 10090000 8640000 4390000 -2270000 420000 -970000 -30000 1620000 1670000 -3830000 -3830000 -6810000 6670000 -2780000 -1090000 -2230000 -4560000 -1440000 1700000 720000 -1520000 6850000

Net financial flows, IMF concessional (NFL, current US$) DT.NFL.IMFC.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Net financial flows, IMF nonconcessional (NFL, current US$) DT.NFL.IMFN.CD 0 -13130000 -19814000 -104884000 -45438000 40831000 0 -75900000 0 0 0 0 0 454000000 -3700000 -385320000 0 606318000 -56407000 0 -157113000 -316750000 -163012000 0 0 0 0 3029424000 5772204000 1382434000 1122671000 -1357460000 -949915000 555300000 -1004916000 -1144655000 -8037122000 0 0 0 0 0

Net financial flows, IBRD (NFL, current US$) DT.NFL.MIBR.CD 56808000 156366000 189141000 161160000 175585000 300629000 269011000 425884000 401798000 672843000 611339000 579526000 1004135000 1219195000 783428000 436363000 790016000 326560000 430382000 -55577000 89803000 -503056000 -245178000 479068000 732703000 290148000 -280029000 -706026000 -949980000 -825623000 -805217000 -706386000 -601474000 146688000 908567000 1177386000 663551000

Net financial flows, IDA (NFL, current US$) DT.NFL.MIDA.CD 26808000 32047000 59157000 76337000 106889000 99417000 48959000 29469000 29446000 40437000 66431000 75046000 55318000 49009000 32731000 12427000 8722000 -4835000 -7048000 -11159000 -13362000 -15282000 -17604000 -19876000 -20387000 -20387000 -20387000 -21073000 -12354000 33158000 12292000 59779000 63776000 94754000 40129000 288324000 192078000 466563000 212814000 110016000 -30207000

Net financial flows, multilateral (NFL, current US$) DT.NFL.MLAT.CD 0 27553000 36007000 74679000 87611000 183913000 290198000 266041000 207586000 251723000 393256000 418192000 618369000 608136000 873359000 791463000 774526000 1335564000 1699969000 1409174000 1117056000 1317873000 776320000 862780000 -34136000 488245000 -1284191000 -84943000 1380113000 1479282000 634557000 -48546000 -291550000 -908594000 -738659000 -289682000 -99702000 163346000 921542000 1110559000 1367139000 205969000

Net financial flows, others (NFL, current US$) DT.NFL.MOTH.CD 0 0 0 0 0 0 0 0 0 0 0 2022000 3708000 3880000 12237000 7760000 12557000 11756000 15477000 1663000 24088000 95117000 12066000 812000 13036000 17396000 50276000 -7703000 49529000 20995000 -10584000 -21733000 -37460000 -33856000 -36293000 -38258000 585000 0 0 0 0 -962000

Commercial banks and other lending (PPG + PNG) (NFL, current US$) DT.NFL.PCBO.CD -1887000 280001000 621827000 815168000 1090968000 1749003000 1314272000 603393000 35059000 36633000 767515000 1045697000 1089884000 2602496000 1247091000 194508000 259674000 404055000 221036000 256383000 1772051000 1585160000 2491962000 -3413554000 1481788000 59944000 3139182000 2879067000 -3140160000 -5605665000 -3018550000 -2829308000 -5869554000 -4808225000 -3439268000 -2617447000 2047298000 1218179000 3168683000 5872672000 3563115000 11338425000

Net financial flows, RDB concessional (NFL, current US$) DT.NFL.RDBC.CD 0 745000 3960000 15522000 10613000 17697000 22929000 12171000 5134000 2473000 3249000 2200000 773000 -5000 911000 4592000 1792000 29076000 58182000 57097000 107862000 14880000 36911000 45391000 35387000 40274000 22553000 16939000 -1298000 537000 17936000 10493000 8045000 36437000 36600000 48220000 75788000 100857000 24569000 88554000 66137000 38611000

Net financial flows, RDB nonconcessional (NFL, current US$) DT.NFL.RDBN.CD 0 0 0 0 661000 2519000 11486000 15770000 11823000 44219000 48941000 78528000 112958000 147145000 138359000 135041000 168224000 281875000 411950000 574034000 559902000 431222000 416065000 403799000 -7106000 361159000 -833577000 171386000 873887000 737401000 303899000 230431000 384112000 -24971000 -8097000 465444000 241987000 471885000 283722000 -99376000 13600000 -465024000

Net official flows from UN agencies, UNAIDS (current US$) DT.NFL.UNAI.CD 560000 650000 690000 1170000 520000 970000

Net official flows from UN agencies, UNICEF (current US$) DT.NFL.UNCF.CD 2520000 4280000 2540000 3240000 7610000 3910000 3510000 2980000 4190000 7050000 10780000 13050000 13030000 9590000 11430000 7560000 9250000 10530000 11890000 11250000 9980000 11270000 14760000 13780000 11750000 13190000 13920000 10930000 7100000 7730000 6730000 5130000 5090000 5590000 5530000 6360000 7650000 5500000 5230000 6290000 6910000

Net official flows from UN agencies, UNHCR (current US$) DT.NFL.UNCR.CD 0 0 0 0 0 0 0 0 0 0 16670000 9550000 3800000 7000000 4530000 3600000 3230000 2470000 2870000 1680000 1980000 3990000 6370000 4070000 2960000 1960000 420000 580000 730000 470000 870000 1140000 6090000 5760000 5920000 0 1010000 240000 1080000 980000 930000 960000

Net official flows from UN agencies, UNDP (current US$) DT.NFL.UNDP.CD 3200000 2680000 4050000 4440000 4500000 6680000 7970000 11620000 8420000 7640000 12450000 10900000 13010000 15300000 17780000 16870000 16290000 14260000 15630000 21150000 20590000 19080000 11580000 13680000 12580000 11480000 11660000 10380000 8860000 8090000 4930000 4130000 3150000 3820000 4110000 5890000 7840000 8150000 9600000 8040000 5800000 4300000 5520000

Net official flows from UN agencies, UNECE (current US$) DT.NFL.UNEC.CD

Net official flows from UN agencies, UNFPA (current US$) DT.NFL.UNFP.CD 1530000 0 6150000 5180000 2620000 2600000 2350000 4090000 2230000 3250000 4100000 5280000 2150000 3620000 2640000 2130000 5260000 850000 2860000 2290000 5390000 4070000 2500000 6780000 6150000 4480000 3340000 4290000 4320000 5020000 5360000 5610000 6270000

Net official flows from UN agencies, UNPBF (current US$) DT.NFL.UNPB.CD 0 0 0 0

Net official flows from UN agencies, UNRWA (current US$) DT.NFL.UNRW.CD 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Net official flows from UN agencies, UNTA (current US$) DT.NFL.UNTA.CD 740000 840000 1010000 1260000 1150000 1570000 1550000 1760000 2150000 2400000 2140000 380000 3200000 3120000 4040000 2720000 4550000 3630000 5140000 3650000 5230000 4310000 6650000 5780000 8650000 6040000 12930000 3670000 6590000 3960000 6650000 6630000 6410000 7110000 6780000 6880000 9350000 5480000 6750000 1110000 0 0

Net official flows from UN agencies, WFP (current US$) DT.NFL.WFPG.CD 640000 370000 740000 1420000 8180000 6950000 17620000 6220000 5960000 6830000 12220000 4630000 12310000 7850000 15990000 10050000 4420000 8980000 5240000 2680000 7600000 7960000 7630000 14740000 3560000 5600000 1170000 0 0 1940000 50000 10000 240000 380000 20000 620000 7570000 67070000 20000 560000 2740000 460000

Net official flows from UN agencies, WHO (current US$) DT.NFL.WHOL.CD

Net official development assistance and official aid received (current US$) DT.ODA.ALLD.CD 83080000 113800000 157730000 108150000 66900000 42870000 82930000 229440000 326030000 328680000 465080000 585240000 498920000 612830000 660540000 686670000 666630000 512920000 631060000 718910000 945910000 971870000 901770000 742220000 670680000 601470000 709110000 1244160000 1630260000 1835460000 1715860000 1824480000 1969230000 1931720000 1548420000 1301190000 1070620000 805520000 1254140000 2122660000 1653000000 1464810000 1304650000 1771570000 131870000 2533990000 1318320000 903880000 1230620000 1046530000 1392510000

Net official development assistance and official aid received (constant 2010 US$) DT.ODA.ALLD.KD 831720000 1157460000 1411170000 802060000 552340000 463820000 765960000 2074150000 2493210000 2271760000 3154710000 3605200000 2730790000 2879690000 2877660000 2696310000 2487850000 1708460000 1766370000 1878580000 2335630000 2409770000 2352020000 1923410000 1784630000 1620510000 1517420000 2145130000 2521830000 2931500000 2643600000 2622280000 2602490000 2454890000 1867590000 1457250000 1254300000 1061750000 1704210000 2609660000 2184000000 2068420000 1856830000 2246420000 201520000 3030820000 1504200000 919330000 1207280000 1111630000 1392510000

Net official aid received (current US$) DT.ODA.OATL.CD

Net official aid received (constant 2010 US$) DT.ODA.OATL.KD

Net official development assistance received (current US$) DT.ODA.ODAT.CD 83080000 113800000 157730000 108150000 66900000 42870000 82930000 229440000 326030000 328680000 465080000 585240000 498920000 612830000 660540000 686670000 666630000 512920000 631060000 718910000 945910000 971870000 901770000 742220000 670680000 601470000 709110000 1244160000 1630260000 1835460000 1715860000 1824480000 1969230000 1931720000 1548420000 1301190000 1070620000 805520000 1254140000 2122660000 1653000000 1464810000 1304650000 1771570000 131870000 2533990000 1318320000 903880000 1230620000 1046530000 1392510000

Net ODA received (% of gross capital formation) DT.ODA.ODAT.GI.ZS 41.1771406415 42.6313492754 27.5101812863 30.4207002242 32.3398880704 19.6822917248 17.1511733359 12.427253652 9.0261172631 7.0320337066 4.5323687749 4.8652713191 5.2533676625 5.0377505969 3.937077935 3.4301206808 2.7758645883 2.8527965728 2.4632547998 2.9977327732 5.4268953866 6.3656242199 5.5556257755 4.8895207331 4.5113404362 4.6444432339 4.1472862315 2.8184907363 2.0161923692 1.5342097061 1.1758903882 7.8330112865 13.3378865493 4.5028511472 4.0505132918 3.1152596236 2.9477908737 0.2134315408 3.5341622977 1.4236454811 0.8391820989 0.8670559022 0.6259529302 0.6037714027

Net ODA received (% of GNI) DT.ODA.ODAT.GN.ZS 3.8055465545 4.3417133402 3.7112354028 4.7956957776 5.9377032973 4.3538158969 3.6320648128 2.4956219948 2.1914213671 1.7160084029 1.0778467175 1.1850269163 1.3631161762 1.2644790888 1.086774767 1.0005748628 0.9065119654 0.8129459099 0.7266186506 0.9329874103 1.7302981296 1.925161227 1.894299139 1.571174386 1.6431794397 1.6155094821 1.2709313804 0.8994641239 0.6632368145 0.4838382254 0.3846066271 1.3925064685 1.641175936 1.0996728139 1.021399858 0.7568551849 0.7847595717 0.0538132374 0.9317584319 0.377701183 0.2180959906 0.2500692864 0.2009873634 0.2023646423

Net official development assistance received (constant 2010 US$) DT.ODA.ODAT.KD 831720000 1157460000 1411170000 802060000 552340000 463820000 765960000 2074150000 2493210000 2271760000 3154710000 3605200000 2730790000 2879690000 2877660000 2696310000 2487850000 1708460000 1766370000 1878580000 2335630000 2409770000 2352020000 1923410000 1784630000 1620510000 1517420000 2145130000 2521830000 2931500000 2643600000 2622280000 2602490000 2454890000 1867590000 1457250000 1254300000 1061750000 1704210000 2609660000 2184000000 2068420000 1856830000 2246420000 201520000 3030820000 1504200000 919330000 1207280000 1111630000 1392510000

Net ODA received (% of imports of goods and services) DT.ODA.ODAT.MP.ZS 3.7824783996 3.3733727368 2.8201991033 2.7742709411 2.7154401806 3.5205540661 5.8722801718 7.0816211285 6.83394147 5.1823014195 4.8144395187 4.7616548989 4.3667518141 3.1294488571 2.1109164355 1.6076099524 1.134263627 2.3169398174 3.9409470521 2.4707285548 2.4623405251 2.1365907739 2.7586581222 0.1562747961 2.3732075212 1.1808819605 0.7029604709 0.7518320914 0.8133353738 0.7902290905

Net ODA received per capita (current US$) DT.ODA.ODAT.PC.ZS 0.9035678226 1.2077375307 1.633115968 1.0922231189 0.6588614596 0.4116309172 0.7762087643 2.0931870948 2.8990492162 2.8486971059 3.9293102653 4.8205293863 4.0071403109 4.8003994414 5.0475518216 5.1203553824 4.8523797591 3.6457964462 4.3815480905 4.8771509309 6.2717791012 6.2995773617 5.7161442519 4.6030379331 4.0719600857 3.577639959 4.135419038 7.1189486683 9.1584141729 10.1295887685 9.3078264122 9.7330620458 10.3364903083 9.9817260397 7.8804633632 6.5255154857 5.2933633623 3.9281496985 6.0341815934 10.0785916101 7.7461834453 6.7751447445 5.9565888335 7.9858281156 0.587115608 11.1480624941 5.7338566949 3.8882956682 5.2377695493 4.4080290885 5.8052468441

Net ODA received (% of central government expense) DT.ODA.ODAT.XP.ZS 13.9214387152 13.1350160948 11.4154703879 8.9193796886 6.775324104 4.7449636297 2.9780829764 9.9698057269 9.370179348 4.3318870472 4.9344885715 0.32418591 5.3606730936 2.0311315981 1.2189641962 1.3075692045 1.2315101424 1.3639363734

Debt service on external debt, total (TDS, current US$) DT.TDS.DECT.CD 4596000 235690000 323171000 549852000 741793000 1060245000 1340039000 2057224000 2832918000 3064726000 3084303000 3492124000 3856131000 3741249000 4846087000 5822696000 5983760000 7001329000 8641907000 9832537000 9945737000 11469027000 12454820000 14086664000 14264883000 16418453000 21545038000 19738959000 18311943000 17679123000 16637729000 15482978000 16881606000 18479803000 20500576000 20258166000 28319638000 23960624000 21377183000 24897916000 29342342000 31240472000

Total debt service (% of exports of goods, services and income) DT.TDS.DECT.EX.ZS 14.0369965431 18.1260270753 18.8324222289 21.8765213073 28.9125378619 37.4640621087 37.1778302889 40.4394337857 38.6940183385 33.4828204956 34.3651555103 32.7715300618 33.8670577487 30.9648411045 30.2761492928 37.1485387175 30.3237763849 32.2621857335 30.6232905546 22.7667607408 23.8679082454 25.141746431 26.2286240844 24.173042626 20.8809976966 25.19043536 18.8172444717 14.1381556693 19.3885871822 17.39459702 14.5012607133

Total debt service (% of GNI) DT.TDS.DECT.GN.ZS 0.0473918848 2.3912536569 2.8201455889 3.2588125605 2.8026083604 3.3836392261 3.449466997 4.323036995 5.319754194 5.8109882824 4.1230525599 3.9049998936 4.2786383959 4.5693823718 5.8740481388 7.0342319819 7.872929089 9.7370004451 10.205160087 10.1477375556 9.1070875387 10.3293373233 10.2176382686 9.268001223 8.2863502734 8.3687412808 9.736706723 9.4246380514 20.332258821 13.6689583998 11.068395805 10.7961520815 9.7933783247 8.1860735323 8.3658327442 7.4490100531 8.1136300549 5.7814267684 4.3439704365 4.7816751457 4.2641363737 3.7973306806

Debt service (PPG and IMF only, % of exports, excluding workers' remittances) DT.TDS.DPPF.XP.ZS 8.1964948951 10.511098054 12.7557082452 14.7232168653 21.8103977357 29.3999499123 30.2630044605 32.9686803931 30.5652552044 25.6219263399 23.7446095763 21.9529482963 21.4481968553 19.0845728054 17.5003522101 20.2584788868 13.7010584693 12.8887974141 16.655101807 11.127564868 13.6797238266 13.6275139482 12.7174827806 13.6285223634 9.3980545827 14.7682502142 8.0557555581 5.8063646798 7.3133878861 5.0174462526

Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$) DT.TDS.DPPG.CD 4596000 104681000 140415000 207968000 291995000 523916000 761039000 1262324000 2064918000 2103726000 1763303000 2039124000 2236131000 2524099000 3228217000 3987606000 4691830000 5677151000 6947864000 7715739000 7394736000 7576614000 8175298000 8921163000 8791881000 9490266000 11749310000 8918567000 7133893000 9249321000 7605836000 6651881000 6512098000 7426164000 10297826000 8152817000 9043414000 10792336000 9200546000 9865053000 8879436000 9779860000

Public and publicly guaranteed debt service (% of GNI) DT.TDS.DPPG.GN.ZS 0.0473918848 1.0620680727 1.2253288286 1.2325657278 1.1032021443 1.6720123451 1.9590317251 2.6526393585 3.8775764744 3.9888483132 2.3571584724 2.280210841 2.4811387255 3.0828136473 3.9129924949 4.8173124024 6.1731160487 7.8954184004 8.2046780164 7.9630815953 6.7711933341 6.8237176331 6.7068201469 5.869476946 5.1071295522 4.8373364311 5.3097880666 4.2582927454 7.9209595004 7.1512927409 5.0598494107 4.6383014239 3.7778064126 3.2895980854 4.202315581 2.9978239784 2.5909552809 2.6040682515 1.8696055427 1.894595465 1.2903920902 1.1887580453

Public and publicly guaranteed debt service (% of exports, excluding workers' remittances) DT.TDS.DPPG.XP.ZS 8.1964948951 10.511098054 12.7056226719 14.5730272662 19.8004171011 29.3753443526 30.146298853 32.5122321011 30.3637755303 24.8947481821 22.7021453826 21.5111116958 21.4481968553 19.0845728054 17.5003522101 20.2584788868 13.7010584693 12.5685723775 16.0214194118 10.4076853545 10.2542602184 9.6984562162 10.5400508839 12.1425752551 7.9726741112 7.6876886224 8.0557555581 5.8067963769 7.3225073836 5.0242953274 4.3566441567

Multilateral debt service (TDS, current US$) DT.TDS.MLAT.CD 0 155000 384000 893000 1515000 4213000 9238000 37863000 71849000 112458000 145140000 183014000 256659000 316968000 383669000 489369000 786054000 1032716000 1272709000 1385610000 1666554000 1878040000 2073824000 2281237000 3282873000 2691754000 4217865000 2690851000 2027596000 2306079000 2498761000 2531319000 2784476000 2931058000 2852203000 2821883000 2807708000 2832154000 2709064000 2493611000 2332892000 2248782000

Multilateral debt service (% of public and publicly guaranteed debt service) DT.TDS.MLAT.PG.ZS 0.148068895 0.2734750561 0.4293929835 0.5188445008 0.804136541 1.2138668321 2.9994676486 3.4795086294 5.3456581323 8.2311434847 8.9751285356 11.477815924 12.557669093 11.8848578023 12.2722505684 16.753676071 18.1907439136 18.3179895289 17.9582279805 22.537031748 24.7873258424 25.3669529845 25.5710718434 37.3398252319 28.3633145794 35.8988315059 30.1713380636 28.4220130579 24.9324139577 32.8532064062 38.0541834708 42.7585088554 39.4693411026 27.6971372404 34.6123677252 31.0469917666 26.2422704408 29.4446003531 25.2772184802 26.2729749953 22.9940101392

Agriculture value added per worker (constant 2000 US$) EA.PRD.AGRI.KD 449.807084493 461.4537710268 455.4879928065 455.7489937735 468.4479064463 480.0048618479 450.7781515192 447.7818992323 457.0343063639 487.3282595425 492.7884959695 489.68718133 514.9135791969 520.3094294167 518.5539872896 530.3155991939 536.9412153213 538.9440321265 534.6182332015 523.2577086709 531.5357954726 548.0392073952 566.7891413259 584.621129982 597.9048307406 611.3911721802 639.7088307769 652.1617182718 682.8915016876 709.6946452073 730.0130066562

Water pollution, clay and glass industry (% of total BOD emissions) EE.BOD.CGLS.ZS 3.50944 3.59607 3.90819 3.99337

Water pollution, chemical industry (% of total BOD emissions) EE.BOD.CHEM.ZS 12.91518 11.89353 12.04421 13.53567 13.15551 13.12885 12.61799 13.04369 11.99822

Water pollution, food industry (% of total BOD emissions) EE.BOD.FOOD.ZS 20.96202 19.89326 19.90442 19.85632 20.81878 21.71315 22.81393 21.52523 23.10878

Water pollution, metal industry (% of total BOD emissions) EE.BOD.MTAL.ZS 1.40621 1.39972 1.43729 1.65974 1.35397 1.31883 1.32603 1.33831 1.3804

Water pollution, other industry (% of total BOD emissions) EE.BOD.OTHR.ZS 18.98535 19.38947 19.3029 18.82698 18.663 18.11637 18.67681 19.80799 19.91532

Water pollution, paper and pulp industry (% of total BOD emissions) EE.BOD.PAPR.ZS 4.36571 3.79012 3.94472 3.86134 3.73951 3.79333 3.75373 3.99829 4.05052

Organic water pollutant (BOD) emissions (kg per day) EE.BOD.TOTL.KG 721773.6 719264.7 747562.8 752137.6 718931.7 731009.3 749807.2 764028.2 882985.4

Water pollution, textile industry (% of total BOD emissions) EE.BOD.TXTL.ZS 31.14417 33.41748 33.99936 32.67336 32.75858 30.44515 29.44012 28.98528 29.24901

Water pollution, wood industry (% of total BOD emissions) EE.BOD.WOOD.ZS 10.22135 10.21643 9.3671 9.58659 9.51066 7.97486 7.77531 7.39303 6.30437

Organic water pollutant (BOD) emissions (kg per day per worker) EE.BOD.WRKR.KG 0.1836406 0.1780564 0.1791612 0.1796165 0.1819151 0.1824113 0.1855565 0.1809292 0.1866375

Energy production (kt of oil equivalent) EG.EGY.PROD.KT.OE 71730.754 81683.665 94886.647 97022.68 94304.981 105659.843 118118.546 119761.756 121392.186 125048.813 127378.594 114174.089 117085.612 133939.355 127975.188 136332.107 136870.299 139569.773 149102.31 168508.653 183105.775 187335.07 194227.155 207453.244 214479.23 222666.173 227601.172 229070.799 238015.443 236617.616 241564.258 248016.314 254879.023 264873.662 279941.002 313988.601 318303.736 323631.952 351828.268 381445.704

Access to electricity (% of population) EG.ELC.ACCS.ZS 64.5

Electricity production from coal sources (kWh) EG.ELC.COAL.KH 0 0 0 0 0 0 0 339000000 4687000000 6337000000 6857000000 8251000000 9768000000 11046000000 11362000000 10681000000 12805000000 14367000000 17038000000 20816000000 24170000000 29365000000 34002000000 37713000000 42929000000 46459000000 48211000000 51793000000 58630000000 63817000000 61392000000 65754000000 68114000000

Electricity production from coal sources (% of total) EG.ELC.COAL.ZS 0 0 0 0 0 0 0 2.4045963967 24.0272722612 27.5821545158 27.2092377287 29.7698080531 29.9017356966 29.5822174612 27.3697395996 23.5264317181 24.9328244869 24.2714510162 25.1579942118 27.8933897919 30.97209052 34.179130536 36.4339673185 37.245935963 39.6693680291 40.5875980641 40.1213351864 40.6634215278 44.0469393275 44.8672970788 41.0821951725 41.9352164236 40.1177960362

Electricity production from oil, gas and coal sources (% of total) EG.ELC.FOSL.ZS 55.979498861 66.9504256385 56.5400843882 58.4188521475 60.1003344482 57.1764705882 64.126574104 71.8068853127 76.8746976294 82.071447614 81.0735447891 86.7953083617 83.2782824112 82.8586110703 77.2024400624 73.0250679243 77.471164309 75.0287686997 72.2362534276 79.0828665014 79.4429566149 76.1616842917 80.2246696035 84.343237665 83.5369047016 84.4693166381 89.660578611 84.2346036546 85.876738637 84.043932494 82.5251348095 85.0467116996 86.5392343578 86.3934821867 86.3774829238 87.7445382697 87.1037367736 86.6940583657 86.7715993087 84.0221456548

Electricity production from hydroelectric sources (kWh) EG.ELC.HYRO.KH 773000000 660000000 1030000000 1094000000 1193000000 1092000000 1111000000 1384000000 1434000000 1345000000 1629000000 1318000000 1816000000 2118000000 2990000000 5030000000 4457000000 5281000000 6688000000 5708000000 6627000000 8812000000 7884000000 6102000000 7530000000 8161000000 5106000000 9681000000 9401000000 10016000000 11655000000 9933000000 9099000000 9674000000 10725000000 9623000000 11286000000 11528000000 11384000000 17676000000

Electricity production from hydroelectric sources (% of total) EG.ELC.HYRO.ZS 44.020501139 33.0495743615 43.4599156118 41.5811478525 39.8996655518 42.8235294118 35.873425896 28.1931146873 23.1253023706 17.928552386 18.9264552109 12.4668936814 14.9958711808 15.5483776244 21.2086820826 25.7856154201 19.3993471164 20.9555176382 24.1304661567 17.4732910889 17.7477236208 21.2270854913 17.3656387665 11.8813037891 12.7210987786 12.050380958 6.8420276844 12.405494759 10.9422103242 10.7323868203 11.5106563691 9.1787796742 7.9490853179 8.0507310903 8.4203501609 7.2294678006 7.9347558618 7.7142876262 7.2602503842 10.4108136761

Electric power transmission and distribution losses (kWh) EG.ELC.LOSS.KH 64000000 73000000 405000000 186000000 187000000 94000000 114000000 443000000 630000000 694000000 716000000 1083000000 1666000000 2082000000 939000000 4007000000 5057000000 4285000000 3210000000 3183000000 4491000000 5029000000 4777000000 4809000000 7277000000 8313000000 7431000000 9920000000 11435000000 10745000000 13024000000 17471000000 19985000000 14242000000 14237000000 14736000000 15239000000 15094000000 15048000000 15954000000

Electric power transmission and distribution losses (% of output) EG.ELC.LOSS.ZS 3.6446469248 3.6554832248 17.0886075949 7.0695553022 6.254180602 3.6862745098 3.6809815951 9.0242411897 10.1596516691 9.2508664356 8.3188102707 10.2440408627 13.7572254335 15.2840992512 6.6605192226 20.5413441329 22.0108813928 17.0032935201 11.5817578294 9.7437781247 12.0273165506 12.1142774553 10.5220264317 9.3636823864 12.2936833747 12.2748213336 9.9575220765 12.7117558113 13.3096665309 11.5135279936 12.8627017204 16.1444135395 17.4593329023 11.8522340488 11.1776713512 11.0707094991 10.7139592927 10.1005775009 9.5969999809 9.3965898048

Electricity production from natural gas sources (kWh) EG.ELC.NGAS.KH 0 0 0 0 0 0 11000000 0 4000000 0 0 0 73000000 156000000 274000000 383000000 393000000 661000000 804000000 734000000 1051000000 1076000000 4844000000 18716000000 25401000000 29208000000 29953000000 27199000000 29167000000 26090000000 26220000000 23845000000 24409000000 19629000000 19086000000 19448000000 22372000000 25212000000 34763000000 40038000000

Electricity production from natural gas sources (% of total) EG.ELC.NGAS.ZS 0 0 0 0 0 0 0.3551824346 0 0.0645057249 0 0 0 0.602807597 1.145206284 1.9435380905 1.9633977547 1.710554951 2.6229117892 2.9008514937 2.2469158478 2.8146759507 2.5919591453 10.6696035242 36.4422290588 42.9121686686 43.1279900774 40.1369477535 34.8535328942 33.9486701973 27.956067506 25.8952732732 22.0344308196 21.3242360177 16.3353112023 14.9846902724 14.6106920696 15.7288993567 16.8713237016 22.1704220052 23.5815884795

Electricity production from nuclear sources (kWh) EG.ELC.NUCL.KH 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Electricity production from nuclear sources (% of total) EG.ELC.NUCL.ZS 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Electricity production from oil sources (kWh) EG.ELC.PETR.KH 983000000 1337000000 1340000000 1537000000 1797000000 1458000000 1975000000 3525000000 4763000000 6157000000 6978000000 9176000000 10012000000 11131000000 10271000000 9175000000 11069000000 11390000000 10966000000 15332000000 17567000000 19179000000 20897000000 11796000000 9680000000 10960000000 16142000000 14366000000 15249000000 18342000000 19627000000 25261000000 28190000000 35973000000 39140000000 38717000000 37703000000 42949000000 35540000000 34505000000

Electricity production from oil sources (% of total) EG.ELC.PETR.ZS 55.979498861 66.9504256385 56.5400843882 58.4188521475 60.1003344482 57.1764705882 63.7713916694 71.8068853127 76.8101919045 82.071447614 81.0735447891 86.7953083617 82.6754748142 81.7134047864 72.8543055753 47.0343979084 48.1784548422 45.1966191818 39.5655938808 46.934214957 47.046063203 46.1999855467 46.0286343612 22.9681841193 16.3532850168 16.1833323489 21.6302410656 18.4089802404 17.7489379037 19.6538976694 19.3839255733 23.342912851 24.6274002761 29.936835798 30.7293711235 29.0869068726 26.5075403382 28.7405394916 22.6659608799 20.3227611391

Electricity production (kWh) EG.ELC.PROD.KH 1756000000 1997000000 2370000000 2631000000 2990000000 2550000000 3097000000 4909000000 6201000000 7502000000 8607000000 10572000000 12110000000 13622000000 14098000000 19507000000 22975000000 25201000000 27716000000 32667000000 37340000000 41513000000 45400000000 51358000000 59193000000 67724000000 74627000000 78038000000 85915000000 93325000000 101254000000 108217000000 114466000000 120163000000 127370000000 133108000000 142235000000 149437000000 156799000000 169785000000

Electricity production from renewable sources (kWh) EG.ELC.RNEW.KH 773000000 660000000 1030000000 1094000000 1193000000 1092000000 1111000000 1384000000 1434000000 1345000000 1629000000 1396000000 2025000000 2335000000 3214000000 5262000000 5176000000 6293000000 7695000000 6833000000 7676000000 9896000000 8978000000 8041000000 9745000000 10518000000 7716000000 12303000000 12134000000 14891000000 17694000000 16182000000 15408000000 16350000000 17351000000 16313000000 18343000000 19884000000 20742000000 27128000000

Electricity production from renewable sources, excluding hydroelectric (kWh) EG.ELC.RNWX.KH 0 0 0 0 0 0 0 0 0 0 0 78000000 209000000 217000000 224000000 232000000 719000000 1012000000 1007000000 1125000000 1049000000 1084000000 1094000000 1939000000 2215000000 2357000000 2610000000 2622000000 2733000000 4875000000 6039000000 6249000000 6309000000 6676000000 6626000000 6690000000 7057000000 8356000000 9358000000 9452000000

Electricity production from renewable sources, excluding hydroelectric (% of total) EG.ELC.RNWX.ZS 0 0 0 0 0 0 0 0 0 0 0 0.7377979569 1.7258464079 1.5930113052 1.588877855 1.1893166556 3.1294885745 4.0157136622 3.6332804156 3.4438424098 2.8093197643 2.611230217 2.40969163 3.7754585459 3.7419965199 3.4803024039 3.4973937047 3.3599015864 3.1810510388 5.2236806858 5.9642088214 5.7745086262 5.5116803243 5.555786723 5.2021669153 5.0259939297 4.9615073646 5.591654008 5.9681503071 5.5670406691

GDP per unit of energy use (PPP $ per kg of oil equivalent) EG.GDP.PUSE.KO.PP 1.7098844457 1.9218225036 2.0115316698 2.2269806618 2.3830162204 2.4542979535 2.4103260195 2.5297145397 2.710281201 2.9031811352 2.7112710308 2.9110825483 3.0573943796 3.0508303924 3.3433299413 3.3622171863 3.5542801624 3.669588895 3.304775227 3.2244504583 3.2010357513 3.302275537 3.3832373109 3.6206629258 3.6462919919 3.9064529905 4.1423684635 4.5502860734 4.8715777456 4.8625304035 4.9667098742

GDP per unit of energy use (constant 2005 PPP $ per kg of oil equivalent) EG.GDP.PUSE.KO.PP.KD 3.5812734241 3.6802424173 3.6308155988 3.8667506765 3.9879046953 3.9854777224 3.8284692493 3.9037249354 4.0416220427 4.172218785 3.7540458214 3.8982304588 4.0096991479 3.9152531921 4.2050143945 4.1326260218 4.2926859815 4.3481283929 3.8616077353 3.7133008606 3.6082633265 3.639863423 3.6695132032 3.8460136288 3.7673220098 3.9064529905 4.0129126433 4.2838874832 4.4871426898 4.4206157699 4.4836582959

Energy imports, net (% of energy use) EG.IMP.CONS.ZS -104.6339911488 -123.8579836102 -148.6617403399 -145.2457832262 -129.2519939008 -145.7160050844 -147.2270513929 -134.2123763116 -126.8318462589 -124.4565412202 -117.2545250474 -90.0198830537 -91.3585240146 -110.6537209051 -94.3910351103 -87.7296713031 -82.5028498424 -81.1622107552 -83.1504919486 -70.8620660914 -76.9924384758 -73.7153521065 -63.9695947984 -74.9085091883 -63.953192602 -64.250599899 -62.4255328083 -67.1202718313 -65.6663133145 -52.5301448939 -51.5605660287 -50.1215526286 -54.3189759061 -49.5646501838 -55.0822496658 -69.367542885 -72.3531497872 -73.1405144311 -77.2308734326 -83.520920336

Alternative and nuclear energy (% of total energy use) EG.USE.COMM.CL.ZS 0.1896488982 0.1555534898 0.232134422 0.2378176347 0.2494120228 0.218395947 0.1999817696 0.232769582 0.2304416086 0.2076220278 0.2389416815 0.4118442339 0.8425418575 0.8732703534 0.9756023242 1.1449391394 2.1594705538 2.8480272303 2.8332782457 2.459038202 2.2942861277 2.4310199578 2.1545445903 3.2474838124 3.3996758305 3.500744481 3.5097215106 3.8900950538 3.8274091748 5.9518040111 7.1348093606 7.0090084136 7.0258548243 6.9318301463 6.8012375136 6.6212582992 7.0620227162 8.1733781622 8.543713145 8.4716404807

Fossil fuel energy consumption (% of total) EG.USE.COMM.FO.ZS 24.6718302091 26.8778836043 29.2229327739 31.5055031158 32.6164161818 34.4408096799 39.8382288011 42.5608299351 44.1508830091 45.4731352766 47.0778218972 47.12385574 46.6574538524 47.7023889276 48.559278599 52.4349110818 52.1761600543 51.8474915178 53.5964733156 53.4349096207 54.8149288752 55.7049153725 59.0786705357 57.4727878612 60.5946894432 61.5105168774 62.0448752603 60.6617017521 62.1717423624 62.3853327515 61.6827561617 62.744787431 62.5097521393 64.6242916444 65.3004553271 65.5735031495 65.0041183147 63.9066279911 65.0014608282 65.5291392791

Energy use (kg of oil equivalent) per $1,000 GDP (constant 2005 PPP) EG.USE.COMM.GD.PP.KD 279.2302853166 271.7212310001 275.4202114613 258.6150708053 250.7582493588 250.9109496139 261.2010009437 256.165589672 247.4254122334 239.6806235558 266.3792738745 256.5266498632 249.3952695972 255.4113235947 237.8113143472 241.976891865 232.9543796864 229.9840091267 258.9594978453 269.3021754862 277.1416356069 274.7355831204 272.5157111077 260.0094790359 265.4405430182 255.9866975049 249.1955566639 233.4328349942 222.858970425 226.2128291749 223.0321612425

Energy use (kt of oil equivalent) EG.USE.COMM.KT.OE 35053.196 36489.056 38158.925 39561.406 41135.948 43000.798 47777.355 51133.829 53516.377 55711.815 58631.043 60085.338 61186.515 63582.715 65833.894 72621.502 74996.253 77041.328 81409.724 98622.624 103454.01 107840.25 118453.153 118606.719 130817.355 135564.907 140126.474 137069.427 143671.6 155128.428 159384.637 165210.331 165163.76 177096.434 180511.311 185388.886 184681.125 186918.673 198514.097 207848.622

Combustible renewables and waste (metric tons of oil equivalent) EG.USE.CRNW.KT.OE 26338.453 26624.811 26919.189 27003.301 27616.278 28097.063 28648.156 29251.824 29765.101 30262.235 30888.732 31523.353 32122.923 32696.993 33223.151 33711.009 34246.566 34903.176 35470.421 43498.547 44372.238 45146.311 45920.479 46588.397 47101.618 47432.451 48267.129 48588.649 48849.562 49118.102 49700.01 49969.854 50316.138 50373.092 50359.599 51547.822 51588.566 52187.683 52516.56 54039.02

Combustible renewables and waste (% of total energy) EG.USE.CRNW.ZS 75.1385208926 72.9665656464 70.5449354247 68.2566767218 67.1341717954 65.3407943732 59.9617873363 57.2064024386 55.6186772509 54.3192409007 52.6832381269 52.4643016904 52.5000042902 51.4243422918 50.4651160389 46.4201484018 45.6643693919 45.3044838479 43.5702508953 44.1060531912 42.8907859637 41.8640637424 38.766784874 39.2797283264 36.0056339619 34.9887386416 34.4454032291 35.4482031941 34.0008477667 31.6628632374 31.1824344777 30.2462041554 30.4643936418 28.44387708 27.8983066053 27.8052385514 27.9338595105 27.9199943817 26.4548265305 25.9992197591

Electric power consumption (kWh) EG.USE.ELEC.KH 1692000000 1924000000 1965000000 2445000000 2803000000 2456000000 2983000000 4466000000 5571000000 6808000000 7891000000 9489000000 10444000000 11540000000 13159000000 15500000000 17918000000 20916000000 24506000000 29484000000 32849000000 36484000000 40623000000 46549000000 51916000000 59411000000 67196000000 68118000000 74480000000 82580000000 88230000000 90746000000 94481000000 105921000000 113133000000 118372000000 126996000000 134343000000 141751000000 153832000000

Electric power consumption (kWh per capita) EG.USE.ELEC.KH.PC 13.9367365894 15.4528540811 15.3921722211 18.6835985766 20.9013880565 17.877150276 21.202937688 31.0081351571 37.7941715038 45.1398887007 51.148780147 60.1489213509 64.7707258943 70.0638447375 78.2718410244 90.3935850414 102.5248539088 117.5011291703 135.2444086832 159.9384296716 175.2397149561 191.504553763 209.9101613653 236.9045149861 260.3606406105 293.7400858518 327.6839149136 327.7436185585 353.638125335 386.9811427201 408.0877525484 414.3154181461 425.8985115956 471.5846842405 497.7185206498 514.8431979261 546.3092409191 571.7911902659 597.0612704165 641.3115399637

Energy use (kg of oil equivalent per capita) EG.USE.PCAP.KG.OE 288.7276355018 293.0665581733 298.9052139303 302.3106048388 306.74220914 313.0015178472 339.5978146033 355.0301569042 363.0599767722 369.3926451845 380.0413544791 380.8692454109 379.4614124369 386.0354828202 391.5905528678 423.5172849593 429.120430993 432.7999155088 449.2862965576 534.9866915159 551.8965942178 566.0535838707 612.0798675739 603.6320273 656.0538244622 670.2605143943 683.3322159557 659.4971960234 682.1664243809 726.9529708865 737.1973059511 754.2942649849 744.5200575092 788.4741071933 794.1433770118 806.3241892356 794.4581341999 795.5639707137 836.1498610268 866.5018972265

CO2 intensity (kg per kg of oil equivalent energy use) EN.ATM.CO2E.EG.ZS 1.1122393519 1.1877608727 1.287618375 1.2957323357 1.3118348944 1.4374373238 1.7253814072 1.8370201066 1.776957192 1.7013377862 1.7083175205 1.7543034376 1.715359569 1.7643872395 1.8416909685 1.6763731078 1.6450494933 1.7154733755 1.6087378579 1.5165478562 1.7373001878 1.8784830432 1.8454626615 1.8667868217 1.7195051375 1.8684089902 1.9886249118 1.5336080379 1.6843203319 1.6980700984 1.8502879547 1.8566467009 1.9180486688 1.9065056838 1.8945724349 1.8615986775 2.0334769132 2.2068269391 2.2758168857

CO2 emissions from gaseous fuel consumption (kt) EN.ATM.CO2E.GF.KT 4671.758 4932.115 5196.139 5375.822 5247.477 6061.551 6076.219 6127.557 6314.574 5001.788 2302.876 2713.58 1998.515 3146.286 3274.631 5111.798 5647.18 6629.936 7876.716 7389.005 12174.44 13410.219 15529.745 13659.575 24407.552 27095.463 22885.747 27033.124 23391.793 24975.937 44099.342 43530.957 52416.098 57707.579 60358.82 64627.208 79056.853 82107.797 48067.036 83721.277 48631.754 61213.231 59812.437 62713.034 61935.63 54495.287 57472.891 57124.526 60362.487 58338.303

CO2 emissions from gaseous fuel consumption (% of total) EN.ATM.CO2E.GF.ZS 21.8262806236 18.9516697196 22.5960771807 23.5956864639 23.4321270673 24.5507203327 25.9717868339 24.9477455957 22.8898045992 14.9791346365 6.428498311 6.9601203913 4.6112192233 6.403462945 6.3881536591 9.4726827942 9.1362126246 8.0427046263 8.3853841349 7.7700227509 12.8443206438 13.3887383759 14.732997043 13.014464398 21.7566109894 22.3475683523 18.7987589988 21.91178219 17.6992869232 19.0704185916 29.4848848898 24.2201048701 25.8747714643 26.3986043313 27.2606823451 28.7307228326 31.2119062441 29.4653314208 22.8661142608 34.5971420345 18.4617526275 20.756758101 19.4995696251 19.7962727167 18.3439407433 15.9346786473 16.6530308665 15.2111080733 14.6334308243 12.912939725

CO2 emissions (kg per 2000 US$ of GDP) EN.ATM.CO2E.KD.GD 1.1601915912 1.3294723888 1.1527256686 1.1683884151 1.1101384888 1.212450711 1.1170434141 1.1596742006 1.162602842 1.3093352781 1.2987883748 1.321083208 1.3612695785 1.405813609 1.3548024411 1.3431759251 1.4515778923 1.7819950919 1.8594168871 1.757756303 1.6114002876 1.5744995379 1.6388940964 1.5047327329 1.5007194335 1.5674248995 1.4852374495 1.4293879909 1.4397220419 1.3078820429 1.3702724284 1.5116725437 1.5890803593 1.598806037 1.5058357679 1.4113272949 1.4763631519 1.5513181907 1.3470899292 1.538561717 1.5962751736 1.7242673415 1.7162129891 1.691605829 1.7165471241 1.645049539 1.5735361512 1.610095216 1.6682024923 1.7462439554

CO2 emissions (kt) EN.ATM.CO2E.KT 21404.279 26024.699 22995.757 22783.071 22394.369 24689.911 23395.46 24561.566 27586.841 33391.702 35822.923 38987.544 43340.273 49134.133 51260.993 53963.572 61810.952 82434.16 93933.872 95096.311 94784.616 100160.438 105407.915 104956.874 112184.531 121245.688 121740.733 123372.548 132162.347 130966.905 149565.929 179730.671 202576.081 218600.871 221413.46 224941.114 253290.691 278658.997 210210.775 241988.997 263418.945 294907.474 306737.216 316792.13 337635.358 341991.754 345119.705 375544.804 412497.163 451781.734

CO2 emissions from liquid fuel consumption (kt) EN.ATM.CO2E.LF.KT 14719.338 19339.758 16244.81 15647.089 15720.429 17682.274 16252.144 17638.27 20593.872 27557.505 29236.991 31602.206 34590.811 38745.522 39390.914 40788.041 45848.501 56405.794 62680.031 63464.769 66189.35 70395.399 75147.831 77788.071 74253.083 78591.144 78334.454 75081.825 87314.937 84817.71 82540.503 103545.079 117200.987 117516.349 113563.323 113955.692 124733.005 143984.755 109272.933 106141.315 155103.099 149980.3 156969.602 162580.112 174035.82 174897.565 152624.207 166360.789 155517.47 191919.779

CO2 emissions from liquid fuel consumption (% of total) EN.ATM.CO2E.LF.ZS 68.7682028439 74.313090038 70.6426407272 68.6785771769 70.1981332897 71.6174068023 69.4670846395 71.8124813377 74.6510700518 82.5280035142 81.6153137476 81.057185854 79.81216685 78.8566310919 76.8438371843 75.5843979342 74.1753678215 68.4252669039 66.7278263585 66.7373616627 69.8313215723 70.2826389397 71.292398678 74.1143176577 66.1883437388 64.8197435277 64.3453116058 60.857805255 66.06642435 64.7627047459 55.1867016451 57.611245996 57.8552938834 53.7584084009 51.2901623054 50.6602327932 49.2450016649 51.6705925702 51.982555604 43.8620417936 58.8807684276 50.8567307453 51.1739671002 51.320754717 51.5454960141 51.1408719521 44.2235562875 44.2985197047 37.7014641432 42.480641548

CO2 emissions (metric tons per capita) EN.ATM.CO2E.PC 0.2327902957 0.2761951292 0.2380950862 0.2300896613 0.2205498751 0.237068596 0.2189769817 0.2240758062 0.2453013826 0.2894086797 0.3026562722 0.3211342382 0.3480929909 0.3848758458 0.3917136261 0.4023951335 0.4499200642 0.5859357552 0.6521975367 0.6451420369 0.6284616652 0.6492313044 0.6681602265 0.6509127649 0.6811160799 0.7211887846 0.7099729872 0.7059243476 0.742456732 0.7227838743 0.8113329201 0.9588100568 1.0633220588 1.1295705415 1.1268523137 1.1280879217 1.2523207709 1.3588914677 1.0114102008 1.1489867783 1.2344171028 1.3640272954 1.4004579586 1.4280257052 1.5032303669 1.5045621514 1.5010520443 1.6155122744 1.7556720024 1.9029239727

CO2 emissions (kg per PPP $ of GDP) EN.ATM.CO2E.PP.GD 0.9950016158 0.8889049417 0.8721232004 0.7702624448 0.7404008518 0.7503942078 0.6954964159 0.6502905634 0.6329503281 0.554129344 0.5593494118 0.5967883627 0.6144065207 0.6049050338 0.5583615301 0.5114200072 0.5256785917 0.5419203537 0.4640581984 0.5223588806 0.5304752056 0.5603069562 0.5487781466 0.529750686 0.5228614955 0.4849853408 0.4494044153 0.4468899055 0.4530004558 0.4680313945

CO2 emissions (kg per 2005 PPP $ of GDP) EN.ATM.CO2E.PP.GD.KD 0.4750650355 0.4641861396 0.4831706237 0.4436178364 0.4424346554 0.4621004298 0.4378703337 0.4214050735 0.4244517071 0.3855832929 0.4039769167 0.445663797 0.468484785 0.471352061 0.4439430277 0.4160805087 0.4352540573 0.4573519299 0.3971423674 0.4535911296 0.4706059244 0.5083399402 0.505965396 0.4987108351 0.506063904 0.4849853408 0.4639021187 0.4746802808 0.4918111796 0.5148189764

CO2 emissions from solid fuel consumption (kt) EN.ATM.CO2E.SF.KT 1822.499 1529.139 1301.785 1595.145 1206.443 762.736 898.415 619.723 473.043 561.051 432.706 553.717 524.381 355.699 440.04 546.383 447.374 509.713 546.383 652.726 707.731 792.072 861.745 1199.109 1884.838 3674.334 8063.733 8225.081 6919.629 6285.238 6952.632 13531.23 12519.138 21327.272 26670.091 25195.957 27583.174 29413.007 32100.918 37198.048 42016.486 58866.351 63259.417 65756.644 77733.066 88642.391 111469.466 128781.373 173368.426 173922.143

CO2 emissions from solid fuel consumption (% of total) EN.ATM.CO2E.SF.ZS 8.5146479356 5.8757221361 5.6609791102 7.0014485756 5.3872605207 3.0892618446 3.8401253918 2.5231412362 1.7147414595 1.68021085 1.2079025489 1.4202407825 1.2099162366 0.723934622 0.8584305029 1.0125033977 0.7237778832 0.6183274021 0.5816677077 0.6863841438 0.7466728567 0.7908032511 0.8175334841 1.1424778143 1.6801229039 3.0304863295 6.6236934847 6.6668648199 5.2357037818 4.7991040179 4.648539976 7.5286148573 6.1799685028 9.7562612182 12.0453792647 11.2011346223 10.8899280471 10.555197326 15.2708242477 15.3717931233 15.9504419851 19.9609559573 20.6233263198 20.7570320639 23.0227860199 25.9194527246 32.2987834033 34.2918798578 42.028998391 38.4969399847

Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) EN.ATM.GHGO.KT.CE 1720.7 997.4 1020.5 1146 1241

HFC gas emissions (thousand metric tons of CO2 equivalent) EN.ATM.HFCG.KT.CE 0 0 0 0

Agricultural methane emissions (thousand metric tons of CO2 equivalent) EN.ATM.METH.AG.KT.CE 81997.9 78861.7 98308.3 88812.2 94321.1

Agricultural methane emissions (% of total) EN.ATM.METH.AG.ZS 53.8715944232 46.9912484709 37.8601902324 42.1163598633 43.0829432908

Methane emissions in energy sector (thousand metric tons of CO2 equivalent) EN.ATM.METH.EG.KT.CE 37386.2 45614.3 49005.9 57518.5 68183.1

Energy related methane emissions (% of total) EN.ATM.METH.EG.ZS 24.5622656608 27.180150886 18.873001532 27.2763183977 31.1439182822

Methane emissions (kt of CO2 equivalent) EN.ATM.METH.KT.CE 152209.9 167822.1 259661.4 210873.4 218929.1

Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.AG.KT.CE 54881.3 59926 80826.5 63844.1 65585.3

Agricultural nitrous oxide emissions (% of total) EN.ATM.NOXE.AG.ZS 61.6993912276 66.0876124601 51.598420125 65.6245599356 71.8250274332

Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.EG.KT.CE 3692.4 4237.9 4470.7 4343.7 4063.4

Nitrous oxide emissions in industrial and energy processes (% of total nitrous oxide emissions) EN.ATM.NOXE.EI.ZS 4.3079500166 4.867518191 2.9942168709 4.7149205083 4.6893856927

Industrial nitrous oxide emissions (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.IN.KT.CE 139.5 175.8 219.6 243.3 218.6

Nitrous oxide emissions (thousand metric tons of CO2 equivalent) EN.ATM.NOXE.KT.CE 88949.5 90676.6 156645.3 97286.9 91312.6

PFC gas emissions (thousand metric tons of CO2 equivalent) EN.ATM.PFCG.KT.CE 657.9 170.6 134.4 129.6

PM10, country level (micrograms per cubic meter) EN.ATM.PM10.MC.M3 132.1286322647 124.1658460252 118.4636680467 126.9345207933 112.7106327186 115.2575042077 109.8397492222 113.8875188373 122.5973623514 116.0215641479 119.7972082972 112.7182668824 107.3588885968 96.7243562663 97.3410261559 90.2736792313 83.3074471066 76.6405721569 73.8281398144 68.1073750818

SF6 gas emissions (thousand metric tons of CO2 equivalent) EN.ATM.SF6G.KT.CE 1062.8 826.8 886.1 1016.4

Bird species, threatened EN.BIR.THRD.NO 122

Disaster risk reduction progress score (1-5 scale; 5=best) EN.CLC.DRSK.XQ 3.25

GHG net emissions/removals by LUCF (Mt of CO2 equivalent) EN.CLC.GHGR.MT.CE 164.1183

Droughts, floods, extreme temperatures (% of population, average 1990-2009) EN.CLC.MDAT.ZS 0.1605897219

CO2 emissions from residential buildings and commercial and public services (million metric tons) EN.CO2.BLDG.MT 5.81 6.84 7.61 8.81 10.11 10.98 12.2 13.29 14.96 16.14 17.32 17.13 16.54 15.99 15.48 15.68 15.6 16.27 18.86 19.31 20.04 21.19 21.38 22.04 23.73 25.18 25.6 26.35 31.1 32.64 32.26 30.91 31.2 31.47 30.05 27.04 28.14 25.5 22.08 20.32

CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion) EN.CO2.BLDG.ZS 23.1197771588 24.2123893805 23.7961225766 25 26.6332982086 28.189987163 25.8146424037 24.7026022305 24.698695724 23.4320557491 23.2889606024 22.2525331255 21.4582252206 20.1741105223 17.5809199319 16.0392798691 14.8049729525 14.3045542465 15.8394221886 13.2214994865 12.6283949839 12.7183242302 11.797163825 11.4630467572 11.0675808031 10.8585967485 10.1833804049 10.3805546801 11.3873530812 11.9613016711 11.0847678933 10.3976049516 9.5943909714 9.5098513236 8.9503782689 7.642736009 7.6247764591 6.9951171339 5.7895012848 4.9447607923

CO2 emissions from electricity and heat production, total (million metric tons) EN.CO2.ETOT.MT 5.5 6.48 8.56 8.58 7.07 6.29 9.55 9.89 10.59 11.91 12.79 14.31 14.47 18.63 20.64 24.67 27.17 28.77 29.13 47.53 53.78 55.89 62.28 63.5 73.86 77.06 88.16 97.88 94.85 88.59 99.04 108.2 120.26 118.43 122.76 128.71 137.02 139.47 145.95 149.62

CO2 emissions from electricity and heat production, total (% of total fuel combustion) EN.CO2.ETOT.ZS 21.8861918026 22.9380530973 26.7667292058 24.3473325766 18.6248682824 16.1489088575 20.2073635209 18.3828996283 17.4839029222 17.2909407666 17.1977948097 18.5892439595 18.7727036845 23.5049205148 23.4412265758 25.2352700491 25.7853278922 25.2945313874 24.4646006551 32.5436494351 33.8899741635 33.5454054378 34.3651713293 33.0264731887 34.4480201483 33.2312734486 35.0690162695 38.5597226599 34.7295961334 32.464819701 34.0308559255 36.3966630786 36.9814569944 35.7881058866 36.5640078632 36.3793103448 37.1267544573 38.2591759478 38.2689181394 36.4092081569

CO2 emissions from manufacturing industries and construction (million metric tons) EN.CO2.MANF.MT 5.12 5.49 5.82 6.4 8.18 8.41 11.1 14.7 17.85 21.44 22.9 22.88 23.99 22.13 28.82 33.2 36.23 40.01 39.25 43.54 45.62 47.43 52.25 56.34 62.32 69.38 71.49 64.53 82.02 76.26 79.3 76.74 91.65 95.23 98.18 118.22 120.89 108.8 110.28 124.95

CO2 emissions from manufacturing industries and construction (% of total fuel combustion) EN.CO2.MANF.ZS 20.3740549144 19.4336283186 18.1988742964 18.1611804767 21.5489989463 21.5917843389 23.4870926788 27.3234200743 29.4700346706 31.1265969803 30.7919860159 29.7220057158 31.1235080436 27.9207670956 32.7314026122 33.9607201309 34.3836006453 35.1767188324 32.9638028051 29.8117083191 28.7478732119 28.4676790109 28.830767533 29.3025432985 29.0658084977 29.9193583164 28.4378853574 25.4215253703 30.0318552964 27.946350044 27.2480500292 25.8140473628 28.1835234786 28.7773479995 29.2428665038 33.4143583946 32.7561914052 29.8458331047 28.9160417431 30.4058986713

CO2 emissions from other sectors, excluding residential buildings and commercial and public services (million metric tons) EN.CO2.OTHX.MT 0.68 0.79 0.83 0.93 1.08 1.09 1.23 1.35 1.49 1.72 1.92 2.07 2.16 2.23 2.2 2.07 2.16 2.45 3.3 3.79 3.77 4.58 5.25 5.5 5.75 6.23 6.1 6.48 6.91 10.39 11.25 10.88 10.15 11.99 10.83 9.57 9.07 9.29 9.7 10.23

CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion) EN.CO2.OTHX.ZS 2.7059291683 2.796460177 2.5953721076 2.639046538 2.8451001054 2.7984595635 2.6026237833 2.5092936803 2.4599636784 2.4970963995 2.5816861638 2.6890101325 2.802283342 2.8135251072 2.4985803521 2.1174304419 2.0499193319 2.1540355196 2.771478962 2.5950017117 2.3757010524 2.7489346378 2.8968713789 2.8605606699 2.6817779022 2.6866186554 2.4265086121 2.5527891585 2.5301160704 3.8075344474 3.865580868 3.6598493003 3.121252191 3.6232322011 3.2257103711 2.7049180328 2.457594971 2.5484171833 2.5433950391 2.4894145131

CO2 emissions from transport (million metric tons) EN.CO2.TRAN.MT 8.02 8.64 9.16 10.52 11.53 12.18 13.19 14.58 15.68 17.67 19.44 20.6 19.93 20.28 20.9 22.14 24.21 26.24 28.53 31.87 35.48 37.53 40.07 44.89 48.75 54.04 60.03 58.59 58.23 65 69.19 70.55 71.93 73.8 73.92 70.27 73.96 81.48 93.36 105.83

CO2 emissions from transport (% of total fuel combustion) EN.CO2.TRAN.ZS 31.9140469558 30.5840707965 28.6429018136 29.8524404086 30.3740779768 31.270860077 27.9094371562 27.1003717472 25.8874030048 25.6533101045 26.1395724082 26.7601974539 25.8562532434 25.58667676 23.7365133447 22.647299509 22.9761791781 23.0701600141 23.9606953893 21.8212940774 22.3580565883 22.525658724 22.1100259339 23.3473760857 22.7368126487 23.3041528311 23.879231473 23.0814686417 21.3210794185 23.8199941366 23.7741813559 23.7318353068 22.1193763646 22.3014625891 22.0170369929 19.8615036744 20.0401018805 22.3514566303 24.4795217369 25.7531513116

Fish species, threatened EN.FSH.THRD.NO 141

Plant species (higher), threatened EN.HPT.THRD.NO 385

Mammal species, threatened EN.MAM.THRD.NO 184

Population density (people per sq. km of land area) EN.POP.DNST 52.01332049 53.3141093085 54.6587932015 56.0501647742 57.489744255 58.9763652522 60.5070480302 62.0793063475 63.6900931236 65.3365533764 67.0168710014 68.72919291 70.4705272222 72.2375845261 74.0274601589 75.8359185679 77.6608422529 79.5038116109 81.3679189874 83.2537765585 85.1611745613 87.0838223199 89.0088067257 90.9194339716 92.8030432167 94.6539990174 96.4728820857 98.2610663678 100.0225655095 101.7603178458 103.474776023 105.1642724267 106.8275849125 108.4630712586 110.0704576693 111.647377137 113.1965466419 114.728819201 116.2587015683 117.7958406244 119.3459259096 120.9041687597 122.4568937441 123.9844615444 125.4730289197 126.9167335516 128.3205981552 129.6947697301 131.0545521288 132.4105262286

Population living in areas where elevation is below 5 meters (% of total population) EN.POP.EL5M.ZS 11.24608 11.165

Population in largest city EN.URB.LCTY 2678740 2847651 2973833 3077862 3185681 3296964 3412296 3531663 3655378 3783069 3915406 4052372 4223963 4411693 4608043 4813132 5027651 5251100 5484810 5728921 5984256 6197362 6391074 6590842 6797142 7009306 7228398 7454338 7687666 7927626 8175422 8268203 8281607 8294997 8308426 8321877 8335369 8348845 8362362 8375901 8389668 8472279 8555820 8640184 8717126 8794539 8872748 8952592 9034989 9120729 9210211

Population in the largest city (% of urban population) EN.URB.LCTY.UR.ZS 19.9545517203 20.3649412548 20.4182236609 20.2896810302 20.1632566886 20.0360276043 19.8869431773 19.7423122032 19.6040495618 19.470413345 19.345027465 19.030072811 18.8683556582 18.7608718377 18.6705236596 18.5961265962 18.4270497026 18.2783645512 18.1515214617 18.0434178059 17.9539010398 17.541818767 17.093574811 16.6834827767 16.3115029266 15.9741285388 15.6129225645 15.2877828234 14.9956545043 14.7310462913 14.4928960759 13.9583612252 13.3344060475 12.7567024457 12.2209689151 11.7231791611 11.1745559184 10.6691478724 10.2015089225 9.7665949787 9.3607448756 9.0667735349 8.7900469206 8.5299939896 8.2787227802 8.0438229096 7.840477836 7.6503990005 7.4727467407 7.3063713135 7.1501913183

Population in urban agglomerations of more than 1 million EN.URB.MCTY 6433511 6767144 7028934 7254956 7489528 7732003 7983724 8244732 8515797 8796193 9087487 9389753 9768944 10185078 10621997 11080265 11561755 12065705 12595505 13151921 13737313 14194204 14587567 14992461 15409818 15838251 16279884 16734517 17203200 17684388 18180459 18436632 18570383 18705876 18843708 18983739 19126214 19270585 19417496 19566798 19718797 19890395 20065769 20244724 20345606 20450287 20559236 20678345 20812811 20966504 21141293

Population in urban agglomerations of more than 1 million (% of total population) EN.URB.MCTY.TL.ZS 6.9970071328 7.1818398812 7.2776671231 7.3268892001 7.3760259342 7.4241462254 7.472611287 7.5216904734 7.5722217644 7.6237341919 7.6777233927 7.7341911466 7.8460533346 7.9781412042 8.1168559522 8.2623231728 8.4157667585 8.5762115748 8.7452557414 8.922383017 9.1084133353 9.2005603822 9.2467743723 9.2978990991 9.3559020432 9.4208455382 9.494174702 9.5753092458 9.6643499012 9.7597102668 9.8621423931 9.8353987532 9.7475959588 9.6658381942 9.5902371786 9.5204146067 9.4563897971 9.3973759383 9.34255322 9.2905018307 9.2404972101 9.1998487962 9.1613486806 9.1258536841 9.0583323243 8.9969209625 8.9419649995 8.8953754137 8.8583565757 8.8311810953 8.8136117132

Pump price for diesel fuel (US$ per liter) EP.PMP.DESL.CD 0.51

Pump price for gasoline (US$ per liter) EP.PMP.SGAS.CD 0.79

GEF benefits index for biodiversity (0 = no biodiversity potential to 100 = maximum) ER.BDV.TOTL.XQ 89.9536385993 80.9625212947

Water productivity, total (constant 2000 US$ GDP per cubic meter of total freshwater withdrawal) ER.GDP.FWTL.M3.KD 1.7148247713 2.4162931782 1.577485504 2.0586394361 2.5815082083

Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal) ER.H2O.FWAG.ZS 93.14 93.14 81.87 81.87 81.87

Annual freshwater withdrawals, domestic (% of total freshwater withdrawal) ER.H2O.FWDM.ZS 6.361 6.361 11.59 11.59 11.59

Annual freshwater withdrawals, industry (% of total freshwater withdrawal) ER.H2O.FWIN.ZS 0.5058 0.5058 6.53 6.53 6.53

Annual freshwater withdrawals, total (billion cubic meters) ER.H2O.FWTL.K3 74.34 74.34 113.3 113.3 113.3

Annual freshwater withdrawals, total (% of internal resources) ER.H2O.FWTL.ZS 3.6820208024 3.6820208024 5.6116889549 5.6116889549 5.6116889549

Renewable internal freshwater resources, total (billion cubic meters) ER.H2O.INTR.K3 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019 2019

Renewable internal freshwater resources per capita (cubic meters) ER.H2O.INTR.PC 20904.4642068307 18419.3895759556 16215.8588304355 14350.8988240167 12798.0474451953 11552.4991651903 10597.7330897776 9845.7322491006 9218.0683362024 8685.2999891001 8331.7638887223

Terrestrial protected areas (% of total land area) ER.LND.PTLD.ZS 10.0314711099 10.2555535055 10.8156822851 10.8672975267 10.8672979488 10.9087970113 11.0496576193 12.024510531 12.8291582511 13.5503170077 13.5503170077 13.5508626709 13.5889188387 13.5889188387 14.140797389 14.1441594008 14.1441594008 14.1441594008 14.1499768026 14.1499768026 14.1499768026

Marine protected areas (% of territorial waters) ER.MRN.PTMR.ZS 0.4819779279 0.5485977101 0.568868693 0.5931880669 0.5931880669 0.6272363765 0.9555971649 1.0224272107 1.0241015762 1.0241015762 1.0241015762 1.1702357215 1.8480589347 1.8480589347 1.9379993481 1.9379993481 1.9379993481 1.9382759829 1.9861138019 1.9861138019 1.9861138019

Terrestrial and marine protected areas (% of total territorial area) ER.PTD.TOTL.ZS 3.9642447001 4.0882839512 4.3054165718 4.3396895098 4.3396896638 4.3764549248 4.6364429069 5.0343876824 5.3288699885 5.5918438581 5.5918438581 5.6848884913 6.1294176981 6.1294176981 6.3878059855 6.3890319587 6.3890319587 6.3892077173 6.4217225972 6.4217225972 6.4217225972

Bank nonperforming loans to total gross loans (%) FB.AST.NPER.ZS 34.4 31.9 24 6.8 4.5 7.4 6.1 4.1 3.2 3.3 2.6 2.9

Automated teller machines (ATMs) (per 100,000 adults) FB.ATM.TOTL.P5 8.6758388095 9.4228625683 10.6190991134 11.6039290349 13.2671973374 14.2657286253 13.3720353018

Bank capital to assets ratio (%) FB.BNK.CAPA.ZS 6 5.2 8.8 10.4 10 9.8 10.1 10.2 9.7 10.7 11.4

Commercial bank branches (per 100,000 adults) FB.CBK.BRCH.P5 5.2340336973 5.3303421749 5.7854054132 6.0389678426 6.6553958166 7.720318724 8.3167100685

Borrowers from commercial banks (per 1,000 adults) FB.CBK.BRWR.P3 161.9753240703 200.2342675999 227.822589883 274.7966004553

Depositors with commercial banks (per 1,000 adults) FB.CBK.DPTR.P3

Point-of-sale terminals (per 100,000 adults) FB.POS.TOTL.P5 119.9123

Bank liquid reserves to bank assets ratio (%) FD.RES.LIQU.AS.ZS 35.1733802258 36.9288839347 39.5969574823 36.0625814155 29.37503431 39.3982879307 40.0674975354 24.2380532518 30.8641745849 30.9716945528 32.9148833434

Total reserves (includes gold, current US$) FI.RES.TOTL.CD 352739199.984593 133183550 108100019.998714 58079559.998943 25003679.999886 21003679.999886 23011659.999886 6012799.999886 87276599.999886 121712799.999886 160280179.999866 187819481.29997 580053889.26417 811133204.9567 1500130961.41571 592327940.99365 1504197779.79594 2536611742.8 2676739962.77349 4205180390.29715 6802958655.10206 6248011978.37647 4562681470.29662 4902568754.42369 5729969519.4969 5989249601.27633 5264621424.3 7094971114.8 6321736080 6699437804 8656793061.6 10357988937.1 11482018250 12474062676.59 13321137322.7019 14907560252.9286 19396150431.2003 17486799311.4368 23605844201.6735 27345097353.9957 29352929930.3718 28103636213.8566 32033584740.0475 36256203610.1863 36310734314.7824 34730799704.5211 42597039985.2572 56935744301.4525 51640625791.9553 66118916965.731 96210971535.5132 110136605627.115

Total reserves (% of total external debt) FI.RES.TOTL.DT.ZS 14.632341382 3.7697639947 9.8933576243 11.1560409869 16.483283744 5.1516574586 10.7365587058 15.4008955671 14.8331105349 22.5796615231 32.4914293608 27.4503460893 18.153938521 16.2178932953 17.8920412826 16.3129809018 12.2677587046 13.5074525265 11.6952520031 11.2822854601 12.3936708527 13.0251437063 13.0509235384 13.9926975588 12.3562439189 11.9846599007 15.0370913318 12.8275257577 15.5848301927 18.0152516426 20.4329118272 21.2347624224 25.0037848747 27.1014484282 26.410145849 24.4893360878 31.3307007674 38.5079638389 32.7033038353 36.8567155913 49.295454122 51.5763642688

Total reserves in months of imports FI.RES.TOTL.MO 2.9180409333 2.0481885996 2.2353835798 2.8442454699 3.2447401903 3.1365036785 4.0184855514 3.2952883437 2.9932702974 3.1374665279 3.2799204994 3.3316621288 3.3837907661 3.2307372395 2.9021385609 3.4949593101 2.9548078874 5.2332263085 6.0922944309 5.2648364534 5.6690537902 6.2952664647 6.774903881 5.1636787147 3.9032543179 4.5787435 5.3135696275 3.7859043106 6.1663043441 6.551798568 5.831867802

Total reserves minus gold (current US$) FI.RES.XGLD.CD 293749999.98625 89000000 63000000 21000000 21000000 17000000 19000000 2000000 82500000 117700000 156019999.99998 185332571.29997 572200989.26417 804734954.9567 1489500461.41571 584333690.99365 1496517029.79594 2508735192.8 2626115962.77349 4061820390.29715 5391695655.10206 5014171978.37647 3144463870.29972 3718392754.42369 4773006319.5 4974241601.27633 4051267824.3 5592324714.8 5048320080 5453530804 7459058061.6 9257939337.1 10448610000 11262657057.6 12132679072.7019 13708248502.9286 18251106181.2003 16586889080.4268 22713376432.6835 26445032103.9957 28501860480.3718 27246209713.8566 30970716990.0475 34962311360.1863 34952496314.7824 33140499704.5211 41103144985.2572 54976431801.4525 49596713291.9553 63563291965.731 92908046535.5132 106538755627.115

Claims on central government (annual growth as % of broad money) FM.AST.CGOV.ZG.M3 -5.9035234565 -4.9154850254 -2.64626318 -21.5687466645 -3.2833930047 2.3438913718 6.5390949001 -0.5320804666 -3.963336157 -5.6182858072 -1.7200231976 7.2784548287 -6.5643854795 -1.2744424314 -2.3653467462 -1.2973839487 -4.0986206086 6.754119441 74.067937034 17.226102581 3.0133808355 -0.3279615234 -4.2764566287 -0.5894612603 0.5693134451 0.7866951437 0.4998967762 -7.0427883432 2.5216015271 -3.7134963593 1.1276873098

Claims on other sectors of the domestic economy (annual growth as % of broad money) FM.AST.DOMO.ZG.M3 7.2139083785 8.4027232819 16.1580104444 13.2225719097 8.2958991978 14.8480628969 20.1582912257 6.8941800146 17.0951349401 19.1049838341

Net domestic credit (current LCU) FM.AST.DOMS.CN 290494599963.455 378000000000 517000000000 641745020863.545 1086000000000 1388000000000 2803000000000 3283000000000 3299000000000 4522000000000 4616000000000 4008980000000 5992790000000 8868300000000 11138200000000 12137100000000 15682500000000 21550000000000 30403500000000 42945700000000 63246000000000 98418000000000 115915700000000 131528000000000 156434000000000 192194000000000 235508000000000 287707000000000 373795941000000 572763941000000 682646940800000 843268372600000 896705550000000 954519013900000 990812022800000 1.13926318783893E+15 1.2818542882479E+15 1.39109630416087E+15 1.603280815468E+15 1.8196422539194E+15 1.99815027676732E+15 2.2847025147E+15 2.78469347184782E+15

Net foreign assets (current LCU) FM.AST.NFRG.CN -5564219979.14577 -38854599963.4554 -43000000000 -58000000000 117000000000 296000000000 659000000000 -345000000000 525000000000 1061000000000 1844000000000 3483000000000 6539622276835.22 6811123954074.45 5590165730182.56 8390725303989.7 11918807651854.6 14083470885383.1 15892398888687.9 16205755044880 13750925497050 12568287633580 10659146468282.8 17283257781014.4 31502399420000 30794526391536 26351113959944.2 33737312744759.2 51633372829800.3 60331225377584.4 111843514289620 116141186594363 177940847130711 226078706129356 230831765199332 251314781790273 241549625822753 304043614678228 401983135344839 510364049655120 584319793712596 639005815576752 813214645443523 907389662026769

Claims on private sector (annual growth as % of broad money) FM.AST.PRVT.ZG.M3 23.5909326615 26.9408094739 23.2735454034 26.9744441967 20 21.7445858329 25.4258841852 32.4830906631 46.0296437046 66.4538900189 19.5704921298 10.4396760125 27.4650821694 25.6679369443 25.8582755375 23.596085659 30.8426367721 36.095464063 -49.3529306891 7.8206444565 7.6603948592 6.3815400675 8.470958127 15.0800718389 12.3086641511 7.3552263078 13.315808921 18.6892848446 4.9935026363 12.865032082 17.2858310745

Broad money (current LCU) FM.LBL.BMNY.CN 230000000000 321000000000 458000000000 661000000000 988000000000 1455000000000 1997000000000 2620000000000 3131000000000 3808000000000 5216000000000 7771630000000 9818970000000 11200700000000 14802900000000 18155000000000 23431120000000 27994700000000 34374500000000 42734200000000 59044700000000 85353500000000 100312500000000 119996000000000 144063000000000 173167000000000 220829000000000 280631000000000 351504000000000 572118000000000 642107000000000 748845284800000 839586263400000 879560434400000 953532428000000 1.033876781462E+15 1.20276224837547E+15 1.38249328136562E+15 1.649661781092E+15 1.89583862005598E+15 2.14138377898218E+15 2.4712058709E+15 2.87721965387607E+15

Broad money (% of GDP) FM.LBL.BMNY.GD.ZS 8.0182393996 9.1071319464 11.8198425262 13.7247693124 13.8646425596 12.8766758853 14.9684435324 16.0525444995 15.5892138774 15.8650139082 15.1872051493 15.888517715 16.807175185 17.8792105494 19.070298605 20.1980081807 24.1565899321 27.2633333512 27.5399404547 28.5524166979 32.8790012076 40.477544001 40.1300392772 42.49226805 43.6850926552 45.3056176275 48.5857305038 52.6939290486 55.9991378985 59.8604136524 58.3876096488 53.8826812122 50.9976944607 48.2788620738 47.3528566602 45.0328839412 43.3540142161 41.4017227443 41.754147672 38.3099210919 38.1966836785 38.3949953454 38.7395490256

Broad money to total reserves ratio FM.LBL.BMNY.IR.ZS 5.7966086754 5.5197325129 6.2226773485 2.7459019133 2.9350578635 2.337145347 8.1239594822 4.1970897025 2.9742739837 3.218280286 1.9907935184 1.8220106016 2.4875639027 3.711480635 3.3207235157 3.0883032096 3.5226604822 4.1460160581 2.9472977491 4.010124508 4.9791450402 5.3503593604 4.9656292843 5.1483662625 5.5335070787 6.0161487754 6.5877299191 6.1770095002 6.9090684699 2.42033154 2.9893271595 3.0292631879 2.9115179399 2.9488649072 3.0662741291 3.1853129028 3.5684615826 3.5434028783 3.1696857074 3.7851630273 3.1171366562 2.8255288156 2.9786555119

Broad money growth (annual %) FM.LBL.BMNY.ZG 39.5652173913 42.6791277259 44.3231441048 49.4704992436 47.2672064777 37.2508591065 31.1967951928 19.5038167939 21.6224848291 36.974789916 48.9959739264 26.3437657222 14.0720462533 32.1604899694 22.6448871505 29.0615257505 19.4765764505 22.7893136915 24.3194810106 38.1673226596 44.5574285245 17.5259362533 19.6221806854 20.0565018834 20.2022726168 27.5237198773 27.0806823379 25.2548720562 62.7628704083 12.2333155048 16.6231305374 12.1174534235 4.7611749671 8.4101092667 8.4259696999 16.3351639133 14.9431887501 19.3251210207 14.9228673287 12.9517964414 15.4022877709 16.4297838459

Money (current LCU) FM.LBL.MONY.CN 180020000000 241000000000 313000000000 471000000000 669000000000 940000000000 1250000000000 1601000000000 2006000000000 2488000000000 3379000000000 5040220000000 6542750000000 7192700000000 7634800000000 8701200000000 10243900000000 11790600000000 12826800000000 14560900000000 20788400000000 23803400000000 26676300000000 28426000000000 34661000000000 42887000000000 49572000000000 54534000000000 72431000000000 90768000000000 116880000000000 160923094500000 230852614200000 242431459900000 275759448500000 313457390904062 351628488058726 426882099475723 538521889437000 569637477312675 640216745717828 744539007200000 876258371127317

Money and quasi money (M2) (current LCU) FM.LBL.MQMY.CN 230000000000 321000000000 458000000000 661000000000 988000000000 1455000000000 1997000000000 2620000000000 3131000000000 3808000000000 5216000000000 7771630000000 9818970000000 11200700000000 14802900000000 18155000000000 23431120000000 27994700000000 34374500000000 42734200000000 59044700000000 85353500000000 100312500000000 119996000000000 144063000000000 173167000000000 220829000000000 280631000000000 351504000000000 572118000000000 642107000000000 748845284800000 839586263400000 879560434400000 953532428000000 1.033876781462E+15 1.20276224837547E+15 1.38249328136562E+15 1.649661781092E+15 1.89583862005598E+15 2.14138377898218E+15 2.4712058709E+15 2.87721965387607E+15

Money and quasi money (M2) as % of GDP FM.LBL.MQMY.GD.ZS 8.0182393996 9.1071319464 11.8198425262 13.7247693124 13.8646425596 12.8766758853 14.9684435324 16.0525444995 15.5892138774 15.8650139082 15.1872051493 15.888517715 16.807175185 17.8792105494 19.070298605 20.1980081807 24.1565899321 27.2633333512 27.5399404547 28.5524166979 32.8790012076 40.477544001 40.1300392772 42.49226805 43.6850926552 45.3056176275 48.5857305038 52.6939290486 55.9991378985 59.8604136524 58.3876096488 53.8826812122 50.9976944607 48.2788620738 47.3528566602 45.0328839412 43.3540142161 41.4017227443 41.754147672 38.3099210919 38.1966836785 38.3949953454 38.7395490256

Money and quasi money (M2) to total reserves ratio FM.LBL.MQMY.IR.ZS 5.7966086754 5.5197325129 6.2226773485 2.7459019133 2.9350578635 2.337145347 8.1239594822 4.1970897025 2.9742739837 3.218280286 1.9907935184 1.8220106016 2.4875639027 3.711480635 3.3207235157 3.0883032096 3.5226604822 4.1460160581 2.9472977491 4.010124508 4.9791450402 5.3503593604 4.9656292843 5.1483662625 5.5335070787 6.0161487754 6.5877299191 6.1770095002 6.9090684699 2.42033154 2.9893271595 3.0292631879 2.9115179399 2.9488649072 3.0662741291 3.1853129028 3.5684615826 3.5434028783 3.1696857074 3.7851630273 3.1171366562 2.8255288156 2.9786555119

Money and quasi money growth (annual %) FM.LBL.MQMY.ZG 39.5652173913 42.6791277259 44.3231441048 49.4704992436 47.2672064777 37.2508591065 31.1967951928 19.5038167939 21.6224848291 36.974789916 48.9959739264 26.3437657222 14.0720462533 32.1604899694 22.6448871505 29.0615257505 19.4765764505 22.7893136915 24.3194810106 38.1673226596 44.5574285245 17.5259362533 19.6221806854 20.0565018834 20.2022726168 27.5237198773 27.0806823379 25.2548720562 62.7628704083 12.2333155048 16.6231305374 12.1174534235 4.7611749671 8.4101092667 8.4259696999 16.3351639133 14.9431887501 19.3251210207 14.9228673287 12.9517964414 15.4022877709 16.4297838459

Quasi money (current LCU) FM.LBL.QMNY.CN 50000000000 80000000000 145000000000 190000000000 319000000000 515000000000 747000000000 1019000000000 1125000000000 1320000000000 1837000000000 2731410000000 3276220000000 4008000000000 7168100000000 9453800000000 13187220000000 16204100000000 21547700000000 28173300000000 38256300000000 61550100000000 73636200000000 91570000000000 109402000000000 130280000000000 171257000000000 226097000000000 279073000000000 481350000000000 525227000000000 587922190300000 608733649200000 637128974500000 677772979500000 720419390557941 851133760316747 955611181889900 1.111139891655E+15 1.3262011427433E+15 1.50116703326435E+15 1.7266668637E+15 2.00096128274875E+15

Consumer price index (2005 = 100) FP.CPI.TOTL 0.0004038693 0.0004591668 0.0010625021 0.0026128072 0.0054606287 0.0222118232 0.2745945777 0.5656648301 1.294484605 1.4953963044 1.6800611579 1.7532863786 1.8674719572 2.4470953449 3.4406700586 4.0962646129 4.9097510493 5.4516176826 5.8937149527 6.8520500289 8.0865942157 9.0767471955 9.9373542982 11.1086990654 12.2701716177 12.8504767927 13.5992993833 14.8607011678 16.0559720455 17.0863898669 18.421294387 20.1558676819 21.6727450158 23.7723540679 25.7974013937 28.2306263752 30.4801782396 32.3790616959 51.2842526775 61.7919434824 64.0906186134 71.4623808595 79.95122302 85.2165860548 90.5371014377 100 113.1094152836 120.3568427705 132.1236320422 138.4834352105 145.5914505164 153.3915119011

Inflation, consumer prices (annual %) FP.CPI.TOTL.ZG 13.6919315403 131.3978494624 145.9107806691 108.9947089947 306.7631103074 1136.2541122077 106 128.8430420712 15.5205939544 12.3488905891 4.3584854263 6.5126598799 31.037863007 40.602206845 19.0542697526 19.8592257416 11.0365398956 8.1094694426 16.2602888647 18.0171508023 12.2443757332 9.4814484107 11.7872899776 10.4555226983 4.7293973805 5.8271969407 9.2754909576 8.0431660937 6.4176607839 7.8126774032 9.4161314533 7.5257357201 9.687785514 8.5184972426 9.4320545871 7.9684801695 6.2298961684 58.3870871837 20.4891175289 3.7200240055 11.5020925145 11.8787564288 6.5857191872 6.2435209261 10.4519566145 13.1094152836 6.4074484593 9.7765851951 4.8135243257 5.1327548995 5.3574996039

Wholesale price index (2005 = 100) FP.WPI.TOTL 0.9910779025 1.1253465802 1.5554852899 2.3024683515 2.4473893413 2.8068429415 3.2009784879 3.5070053757 5.3442401909 6.6515939654 7.3877940468 7.9349166132 9.3579161766 10.5358800241 10.9019723457 11.1437185136 13.194661809 14.1460499536 15.1364294156 16.6570907943 17.5148997772 18.4194983409 19.1681316351 20.1351163066 22.4278057699 24.1902133165 26.3581305641 53.2798340052 58.7527415929 66.0909793151 75.443329093 77.5729793596 79.1756817047 85.9404439556 100 113.4589349485 130.16607482 165.2926285997 162.2911618297 170.1967144326 182.8450998766

Deposit interest rate (%) FR.INR.DPST 21 21 15 12 12 12 12 9 6 6 6 6 6 6 16 18 15.39 16.7841666667 17.7175 18.6275 17.5308333333 23.3166666667 19.6025 14.5475 12.5333333333 16.7175 17.2558333333 20.0141666667 39.0666666667 25.7375 12.5033333333 15.4816666667 15.5025 10.59 6.4433333333 8.0791666667 11.4108333333 7.9758333333 8.4925 9.2783333333 7.0166666667

Lending interest rate (%) FR.INR.LEND 21.4916666667 21.6666666667 22.0975 21.6991666667 20.825 25.5333333333 24.0333333333 20.5866666667 17.76 18.8516666667 19.2175 21.8175 32.1541666667 27.6625 18.455 18.5475 18.945 16.935 14.1241666667 14.0508333333 15.9791666667 13.8616666667 13.5983333333 14.4983333333 13.2516666667 12.4033333333

Interest rate spread (lending rate minus deposit rate, %) FR.INR.LNDP 6.1016666667 4.8825 4.38 3.0716666667 3.2941666667 2.2166666666 4.4308333333 6.0391666667 5.2266666667 2.1341666667 1.9616666667 1.8033333333 -6.9125 1.925 5.9516666667 3.0658333333 3.4425 6.345 7.6808333334 5.9716666666 4.5683333334 5.8858333334 5.1058333333 5.22 6.235

Real interest rate (%) FR.INR.RINR 21.6095012677 5.3958389243 8.2949345114 10.642480571 12.1617284393 15.3505021759 17.7185386956 10.7517908192 9.2632750146 8.3392128912 9.520961675 8.2136302403 -24.6002176663 11.826529786 -1.6542144724 3.719985957 12.3224124962 10.8520733498 5.1344047541 -0.2457343987 1.6581536096 2.3396741081 -3.8522460217 5.7479543809 4.7573925615 3.6977117719

Risk premium on lending (lending rate minus treasury bill rate, %) FR.INR.RISK

Claims on central government, etc. (% GDP) FS.AST.CGOV.GD.ZS -8.5502980988 -7.9441061936 -8.1787487471 -6.9826132358 -9.5821219862 -9.4941273266 -8.4335611439 -5.4713744594 -4.6850625758 -4.8478188341 -5.7017645355 -5.397157741 -2.1919658924 -4.2656212794 -4.160695959 -4.4000834326 -4.2931607476 -5.4749487147 -1.1116883144 37.5665295065 37.6854478213 33.1834580841 29.8354970822 25.1251637405 21.7925167857 18.2463238768 15.4427348908 13.2268176016 8.2121810257 8.1017528759 5.8213917441 5.4199992711

Claims on other sectors of the domestic economy (% of GDP) FS.AST.DOMO.GD.ZS 21.2837451726 22.557823509 24.0790146547 27.8307147602 27.9585924404 26.2166237996 27.3533938673 28.5580115559 28.8646336887 30.633383888 33.1214529976

Domestic credit provided by banking sector (% of GDP) FS.AST.DOMS.GD.ZS 10.1271967251 10.7242862173 13.3424859957 13.3249657621 15.2398803844 12.2837292981 21.0097882931 20.1146960275 16.4256839928 18.839704016 13.440210692 8.196060511 10.2578856414 14.156097647 14.349134286 13.5029052652 16.1680586165 20.9870023154 24.3584802576 28.6937282501 35.2184922673 46.6731759739 46.3721031163 46.5759111311 47.4364256223 50.2836445413 51.8153332194 54.0225856901 59.5505326993 59.9279981288 62.0739582458 60.6768338126 54.4672032567 52.3933205912 49.2041783951 49.6232315459 46.2049163172 41.6593586904 40.5802114688 36.7701925816 36.9663865646 36.4547756321 38.5414522687

Domestic credit to private sector (% of GDP) FS.AST.PRVT.GD.ZS 8.9942246286 10.6686947227 14.1717409785 14.7957813975 17.2196502793 19.7005461691 23.5715686933 25.0941979356 28.3877202554 34.6126958891 48.0852555608 47.2458128312 45.5291500361 48.9814132116 51.9353123769 53.526391215 55.4655939277 60.8489426117 53.2378901832 20.5928426364 19.9085406512 20.2905270779 21.2766954981 22.9497432346 26.3925246919 26.4278526511 24.6060340356 25.4559902055 26.5534798271 27.6587103201 29.0647344997 31.7211272697

Liquid liabilities (M3) as % of GDP FS.LBL.LIQU.GD.ZS 10.6714627205 6.7556619964 6.0337658286 5.6989315311 8.0234686861 9.0952160729 11.8123583464 32.6584227024 33.6642258897 34.4275329333

Quasi-liquid liabilities (% of GDP) FS.LBL.QLIQ.GD.ZS 1.74762757 2.2577743311 3.734605703 21.2386310883 22.0963625836 22.629388123

Research and development expenditure (% of GDP) GB.XPD.RSDV.GD.ZS 0.0676929179 0.0475632956 0.0833594214

Cash surplus/deficit (current LCU) GC.BAL.CASH.CN 1690000000000 -2740000000000 1779000000000 10799000000000 7805000000000 10557000000000 8260600000000 -17610200000000 -40415500000000 -17106691000000 -35109147130883 -23364838000000 -3493720641532 -20861666575215 -40346615279566 -16586753932355 -93719310377562 -36389123210813.3

Cash surplus/deficit (% of GDP) GC.BAL.CASH.GD.ZS 0.6760848985 -0.9702724629 0.5394569031 2.8253383425 1.7172184205 1.9822821034 1.3160205247 -1.8425462169 -3.6750330362 -0.9389821814 -1.7435363106 -1.0177093217 -0.1259324647 -0.6247472933 -1.0212023772 -0.3351747494 -1.6717072802 -0.5653758891

Central government debt, total (current LCU) GC.DOD.TOTL.CN 87435000000000 105546000000000 118797000000000 138841000000000 136781000000000 127324000000000 450890300000000 514134000000000 490685300000000 587069900000000 598411660000000 1.2995E+15 1.31329E+15 1.30216E+15 1.38941E+15 1.63674E+15 1.59066E+15 1.676681E+15

Central government debt, total (% of GDP) GC.DOD.TOTL.GD.ZS 34.9783923659 37.3753202074 36.0235310396 36.3249190493 30.0938952948 23.9075576903 71.8326621796 53.7935773962 44.6186410626 32.224126531 29.717396837 56.6027148795 47.3380282818 38.9959705521 35.1669845188 33.0742182296 28.3732124323 26.05050431

Net incurrence of liabilities, domestic (current LCU) GC.FIN.DOMS.CN -15616176304168 18165063411055 45116325713305 46883994685900 52613982572348 64200091750248

Net incurrence of liabilities, domestic (% of GDP) GC.FIN.DOMS.GD.ZS -0.5628909042 0.5439917352 1.141927241 0.9474024413 0.9384957844 0.9974734412

Net incurrence of liabilities, foreign (current LCU) GC.FIN.FRGN.CN 1798000000000 1159000000000 -451000000000 -303000000000 -1677000000000 -2658000000000 3432400000000 49705300000000 15942000000000 -2462336000000 -6709689000000 -9733281971413.7 13694886519712 -4535047630188 -1015385134844 41963500755756 25056174280013 4162258618370.83

Net incurrence of liabilities, foreign (% of GDP) GC.FIN.FRGN.GD.ZS 0.7192903239 0.4104181695 -0.136759451 -0.079273777 -0.3689654441 -0.4990912031 0.5468257571 5.2006401105 1.4496264221 -0.1351570347 -0.3332062257 -0.4239555092 0.4936372967 -0.1358117158 -0.0257001413 0.8479721774 0.4469365896 0.0646687927

Grants and other revenue (current LCU) GC.REV.GOTR.CN 2487000000000 2992100000000 4936000000000 5549000000000 7272000000000 7667000000000 9464600000000 9774000000000 13579700000000 110001860000000 83050609000000 91972681981988 117496562000000 138749511288289 217002550931048 206948030263888 320995740248341 222275045725775 271057367752471

Grants and other revenue (% of revenue) GC.REV.GOTR.ZS 5.9805218228 6.3002189842 9.441469013 8.5329847763 10.2434077079 9.2958122166 8.6140723394 6.3960233932 7.3897096836 36.5921434803 27.8209617762 26.9416754486 29.3309095258 28.5727618053 34.6535644579 29.6514054322 33.2253432351 25.7529618245 27.9253099973

Social contributions (current LCU) GC.REV.SOCL.CN

Social contributions (% of revenue) GC.REV.SOCL.ZS

Revenue, excluding grants (current LCU) GC.REV.XGRT.CN 41585000000000 47492000000000 52280000000000 65030000000000 70992000000000 82478000000000 109873700000000 152813700000000 183765000000000 300564460000000 298518009000000 340909246754391 400311600000000 484299230634175 624432241688424 696240001001741 963844553465851 861955120629062 968560595362816

Revenue, excluding grants (% of GDP) GC.REV.XGRT.GD.ZS 16.6360890551 16.8175838714 15.8531798173 17.0137746471 15.6193171184 15.4868488516 17.5043028748 15.9888192536 16.709986166 18.2567237758 16.3855821833 16.9297091758 17.4364935419 17.45674655 18.6999610714 17.6223442588 19.476767905 15.3750240433 15.048474912

Taxes on exports (current LCU) GC.TAX.EXPT.CN 19000000000 8400000000 14000000000 131000000000 186000000000 70000000000 128500000000 4630000000000 858000000000 542300000000 231000000000 229673438570 297800000000 60024305054 940130578973 3960947771927 22764177601365 18105495831908 19759183417044

Taxes on exports (% of tax revenue) GC.TAX.EXPT.ZS 0.0485958361 0.0188764469 0.0295708009 0.2202383955 0.2919020716 0.0935691275 0.1279764483 3.236863612 0.5041563519 0.2845013645 0.1072087438 0.0920887997 0.1051951126 0.0173054956 0.2297467356 0.8067290137 3.528665634 2.8253207879 2.8243791437

Taxes on goods and services (current LCU) GC.TAX.GSRV.CN 11149000000000 13095000000000 14842000000000 21905000000000 22465000000000 25702000000000 31720100000000 38163000000000 46207400000000 78254100000000 93704500000000 110687802615406 135167200000000 72805005957168 174356618319419 199239297664308 260959523024201 271299619596367 285751748455170

Taxes on goods and services (% of revenue) GC.TAX.GSRV.RV.ZS 26.8101478899 27.5730649373 28.389441469 33.6844533292 31.6444106378 31.1622493271 28.8696020977 24.97354622 25.1448317144 26.0312439728 31.3898879749 32.4239196892 33.7420673982 14.9927742025 27.8433515443 28.5469022611 27.0111675508 31.4329875567 29.4391782228

Taxes on goods and services (% value added of industry and services) GC.TAX.GSRV.VA.ZS 5.4562999629 5.7021826033 5.4805403668 6.9287123289 5.9649320032 5.7916581046 6.0225841423 4.874407462 5.2268160903 5.6112419735 6.0837494042 6.4809638746 6.8727861367 3.0208143935 5.9998972578 5.8445742486 6.1662934227 5.7127656889 5.2423606731

Customs and other import duties (current LCU) GC.TAX.IMPT.CN 2133000000000 2652200000000 2888000000000 4093000000000 3029000000000 2807000000000 2998700000000 2306000000000 4177000000000 9025600000000 10344400000000 10884595527471 12444000000000 15179142354783 344711690871 16975871449123

Customs and other import duties (% of tax revenue) GC.TAX.IMPT.ZS 5.4555220216 5.9600133933 6.1000337952 6.8811889511 4.7536095417 3.7521220141 2.9864823009 1.6121398465 2.4543835455 4.735009249 4.8009096499 4.3642370837 4.3957286122 4.3762702621 0.0842397721 3.4574876567

Taxes on international trade (current LCU) GC.TAX.INTT.CN 2152000000000 2660600000000 2902000000000 4224000000000 3215000000000 2877000000000 3127200000000 6936000000000 5035000000000 9567900000000 10575400000000 11114268966041 12741800000000 15239166659837 1284842269844 20936819221050 22764177601365 18105495831908 19759183417044

Taxes on international trade (% of revenue) GC.TAX.INTT.RV.ZS 5.1749428881 5.6022066874 5.5508798776 6.4954636322 4.5286792878 3.4882029147 2.8461770196 4.5388600629 2.7399123881 3.1827640879 3.5426326515 3.2557170334 3.1807618592 3.1382098217 0.2051789909 2.9998164969 2.3562543655 2.0977170039 2.0356625123

Other taxes (current LCU) GC.TAX.OTHR.CN 1178000000000 1461200000000 1819000000000 457000000000 964000000000 864000000000 614500000000 627700000000 778600000000 8330600000000 9314100000000 12586654890864 16260900000000 21664405841240 38213414724199 32297223248894 33756176221568 33772269025792 39948710599666

Other taxes (% of revenue) GC.TAX.OTHR.RV.ZS 2.8327521943 3.0767287122 3.4793420046 0.7027525757 1.3578994816 1.0475520745 0.5592785171 0.4107616006 0.4236933039 2.7711759645 3.1201122207 3.6870249268 4.0592420628 4.4613627969 6.1023754081 4.6275292385 3.4940044388 3.9128816827 4.1156605952

Tax revenue (current LCU) GC.TAX.TOTL.CN 39098000000000 44499900000000 47344000000000 59481000000000 63720000000000 74811000000000 100409100000000 143039700000000 170185300000000 190614200000000 215467500000000 249404313253852 283093000000000 346851118548758 409203019335450 490988634954090 645121413086003 640829739039310 699593872211384

Tax revenue (% of GDP) GC.TAX.TOTL.GD.ZS 15.6411641187 15.7580392596 14.3564067572 15.5619918466 14.0193667847 14.0472204641 15.9964695627 14.9661706339 15.4751667002 11.5781845836 11.8269595892 12.3855323103 12.3307674978 12.5023780425 12.2544609663 12.4272818854 13.0362100279 11.4307258111 10.8695531131

Taxes on income, profits and capital gains (current LCU) GC.TAX.YPKG.CN 24619000000000 27283100000000 27781000000000 32895000000000 37076000000000 45368000000000 64947300000000 97313000000000 118164300000000 94461600000000 101873500000000 115015586781541 118923100000000 237142540090513 195348144021988 238515294819838 327641536238869 317652354585243 354134229739504

Taxes on income, profits and capital gains (% of revenue) GC.TAX.YPKG.RV.ZS 59.201635205 57.4477806789 53.1388676358 50.5843456866 52.2256028848 55.0061834671 59.1108700262 63.6808087233 64.30185291 31.4226724946 34.1264053766 33.6916630441 29.687019154 48.8348913736 31.1955295988 34.1743465713 33.9132304098 36.8034519322 36.4841886724

Taxes on income, profits and capital gains (% of total taxes) GC.TAX.YPKG.ZS 62.9674152131 61.310474855 58.6790300777 55.3033741867 58.1858129316 60.6434882571 64.6826831433 68.0321617006 69.4327300889 49.5564338858 47.2802162739 46.1161177531 42.008491909 68.3701240702 47.7386858824 48.5785775555 50.7875772828 49.5689159279 50.6199730738

Compensation of employees (current LCU) GC.XPN.COMP.CN 6787000000000 8104400000000 9810700000000 8748000000000 8851000000000 12731000000000 11085500000000 15115000000000 19124100000000 21259200000000 47661500000000 49270000000000 48350919716048 72836320300832 90305220159712 112576006722383 127379914875958 147205588898702

Compensation of employees (% of expense) GC.XPN.COMP.ZS 26.5532081377 26.630302632 27.7783440645 23.3211591267 20.4960170433 24.0889309366 14.0868964098 11.9993744289 10.7471669697 7.5809698372 15.4778060951 13.550304688 10.5398678091 12.2518637072 13.3229169126 12.3331728801 14.4269399873 15.8611802833

Goods and services expense (current LCU) GC.XPN.GSRV.CN 3688000000000 4231400000000 4445400000000 7741000000000 9401000000000 10709000000000 15357400000000 18675000000000 20452500000000 26129200000000 30033200000000 29579600000000 31867837193366 47065451829540 55867894894147 55880289862775 80567042949902 97579188176128

Goods and services expense (% of expense) GC.XPN.GSRV.ZS 14.4287949922 13.9039858049 12.5868542208 20.6366132601 21.7696369026 20.2630085147 19.5154122884 14.8255585485 11.493687674 9.3175978904 9.7531140651 8.1350231895 6.9467715062 7.9169224743 8.2423067065 6.1219197192 9.1249542341 10.51401042

Interest payments (current LCU) GC.XPN.INTP.CN 4562000000000 5385700000000 6344000000000 7565000000000 7130000000000 6426000000000 10817600000000 31264000000000 42910000000000 81121600000000 65350600000000 62485700000000 57632203689928 76685096954315 77724554787341 88361461834121 94038815561174 90973383685663

Interest payments (% of revenue) GC.XPN.INTP.RV.ZS 10.9703017915 11.3402257222 12.1346595256 11.6330924189 10.0433851702 7.791168554 9.8454862265 20.4588986459 23.3504747912 27.1747668079 19.1432349001 15.5984343896 11.868230836 12.2459940626 11.1363335186 9.1460400562 10.8954112202 9.3724068893

Interest payments (% of expense) GC.XPN.INTP.ZS 17.848200313 17.6969079618 17.9626137528 20.1674175575 16.5107447203 12.1589403974 13.7464625504 24.8196124476 24.1141248304 28.9277302414 21.2222425857 17.1849050871 12.5630662665 12.8992699298 11.4668651897 9.6803681039 10.6507556541 9.8022449448

Other expense (current LCU) GC.XPN.OTHR.CN 792000000000 731000000000 550000000000 787400000000 368000000000 434600000000 200600000000 676268923852 610960000000 44081842030405 63875898035230 50389964951002 84067540963248 108260191920781 84386880701201

Other expense (% of expense) GC.XPN.OTHR.ZS 2.1113806617 1.6927565765 1.0406811731 1.0005883571 0.2921448753 0.2442320823 0.0715333855 0.2196145583 0.1680270784 9.6092647361 10.7446229253 7.4341363111 9.2099510943 12.261456552 9.0925591777

Expense (current LCU) GC.XPN.TOTL.CN 25560000000000 30433000000000 35317800000000 37511000000000 43184000000000 52850000000000 78693700000000 125964900000000 177945500000000 280428500000000 307934468923852 363608060000000 458743132187494 594491760940372 677818684543512 912790308032852 882930926364830 928087231020758

Expense (% of GDP) GC.XPN.TOTL.GD.ZS 10.2252840267 10.7767525048 10.7096295744 9.8139889403 9.5011352045 9.9236155315 12.5369252072 13.1796430451 16.180811598 15.3926533568 15.2921666212 15.8377863394 16.5355674417 17.80332924 17.1560872499 18.4450956449 15.7491775343 14.4196423838

Subsidies and other transfers (current LCU) GC.XPN.TRFT.CN 10523000000000 11793200000000 13351700000000 13699000000000 17071000000000 22434000000000 60542900000000 95024300000000 151717900000000 164212900000000 221661800000000 276810329557747 334028993820455 403531049751310 571905008650325 472684961057015 507942189559064

Subsidies and other transfers (% of expense) GC.XPN.TRFT.ZS 41.1697965571 38.7513554365 37.8044498808 36.5199541468 39.5308447573 42.4484389782 48.0633096998 53.4007884437 54.1021686455 53.3272226958 60.961739957 60.3410296821 56.1873209634 59.5337748801 62.6545882025 53.5358935725 54.7300051742

Business extent of disclosure index (0=less disclosure to 10=more disclosure) IC.BUS.DISC.XQ 9 9 9 9 10 10 10 10

Ease of doing business index (1=most business-friendly regulations) IC.BUS.EASE.XQ 130 128

New business density (new registrations per 1,000 people ages 15-64) IC.BUS.NDNS.ZS 0.1400674 0.1563796 0.1556818 0.162078 0.2376409 0.1829897

New businesses registered (number) IC.BUS.NREG 20598 23348 23599 24938 37106 28998

Credit depth of information index (0=low to 6=high) IC.CRD.INFO.XQ 2 2 2 3 4 4 4 4 4

Private credit bureau coverage (% of adults) IC.CRD.PRVT.ZS 0 0.1 0.2 0.2 0 0 0 0 0

Public credit registry coverage (% of adults) IC.CRD.PUBL.ZS 0.4 0 8.4 20.5 26.1 22 25.2 31.8 36

Average time to clear exports through customs (days) IC.CUS.DURS.EX 3.71 2.25

Delay in obtaining an electrical connection (days) IC.ELC.DURS 14.61 15.54

Power outages in firms in a typical month (number) IC.ELC.OUTG 2.05

Time required to get electricity (days) IC.ELC.TIME 101 101 108 108

Firing cost (weeks of wages) IC.EMP.FIRE.WK 108 108 108 108 108 108 108

Cost to export (US$ per container) IC.EXP.COST.CD 486 486 607 644 644 644 644 644

Documents to export (number) IC.EXP.DOCS 4 4 4 4 4 4 4 4

Time to export (days) IC.EXP.DURS 22 22 18 18 18 17 17 17

Firms using banks to finance investment (% of firms) IC.FRM.BNKS.ZS 34.02 11.67

Informal payments to public officials (% of firms) IC.FRM.CORR.ZS 44.18 14.89

Losses due to theft, robbery, vandalism, and arson (% sales) IC.FRM.CRIM.ZS 0.22 0.37

Time required to obtain an operating license (days) IC.FRM.DURS 21.1

Firms with female participation in ownership (% of firms) IC.FRM.FEMO.ZS 42.84

Firms formally registered when operations started (% of firms) IC.FRM.FREG.ZS 29.1

Firms that do not report all sales for tax purposes (% of firms) IC.FRM.INFM.ZS 44.04

ISO certification ownership (% of firms) IC.FRM.ISOC.ZS 22.13 2.88

Value lost due to electrical outages (% of sales) IC.FRM.OUTG.ZS 3.3 2.17

Firms offering formal training (% of firms) IC.FRM.TRNG.ZS 23.83 4.73

Management time dealing with officials (% of management time) IC.GOV.DURS.ZS 3.98 1.63

Cost to import (US$ per container) IC.IMP.COST.CD 675 675 623 660 660 660 660 660

Documents to import (number) IC.IMP.DOCS 7 7 7 7 7 7 7 7

Time to import (days) IC.IMP.DURS 27 27 27 27 27 27 27 23

Time to resolve insolvency (years) IC.ISV.DURS 6 6 5.5 5.5 5.5 5.5 5.5 5.5 5.5 5.5

Strength of legal rights index (0=weak to 10=strong) IC.LGL.CRED.XQ 3 3 3 3 3 3 3 3 3

Time required to enforce a contract (days) IC.LGL.DURS 498 498 498 498 498 498 498 498 498 498

Procedures to enforce a contract (number) IC.LGL.PROC 40 40 40 40 40 40 40 40 40 40

Time required to register property (days) IC.PRP.DURS 39 39 39 39 39 22 22 22 22

Procedures to register property (number) IC.PRP.PROC 6 6 6 6 6 6 6 6 6

Cost of business start-up procedures (% of GNI per capita) IC.REG.COST.PC.ZS 136.7 130.7 101.7 86.7 80 76.7 25 25.8 23.5 22.7

Time required to start a business (days) IC.REG.DURS 168 151 151 97 105 76 62 49 47 47

Start-up procedures to register a business (number) IC.REG.PROC 12 12 12 12 12 11 10 10 9 9

Time to prepare and pay taxes (hours) IC.TAX.DURS 560 576 266 266 266 266 266 259

Firms expected to give gifts in meetings with tax officials (% of firms) IC.TAX.GIFT.ZS 11.22 14.01

Labor tax and contributions (% of commercial profits) IC.TAX.LABR.CP.ZS 10.6

Average number of times firms spent in meetings with tax officials IC.TAX.METG 0.95 0.15

Other taxes payable by businesses (% of commercial profits) IC.TAX.OTHR.CP.ZS 0.1

Tax payments (number) IC.TAX.PAYM 51 51 51 51 51 51 51 51

Profit tax (% of commercial profits) IC.TAX.PRFT.CP.ZS 23.7

Total tax rate (% of commercial profits) IC.TAX.TOTL.CP.ZS 37.3 37.3 37.3 37.3 37.6 37.3 34.5 34.5

Time required to build a warehouse (days) IC.WRH.DURS 186 186 158 158 158 158 158 158

Procedures to build a warehouse (number) IC.WRH.PROC 13 13 13 13 13 13 13 13

Investment in energy with private participation (current US$) IE.PPI.ENGY.CD 137000000 595500000 2470000000 3203600000 2725000000 330000000 125000000 187600000 829000000 158000000 105900000 611100000 305000000 2863200000 0 2300000000 35000000

Investment in telecoms with private participation (current US$) IE.PPI.TELE.CD 250000000 1249000000 1804000000 3694000000 1510600000 579300000 1259600000 642300000 1421300000 1321500000 939500000 895000000 1337600000 1676100000 3516600000 2876000000 1832900000 1107900000 813000000

Investment in transport with private participation (current US$) IE.PPI.TRAN.CD 116000000 10800000 114500000 351500000 26700000 502800000 1028000000 0 159200000 372000000 1139500000 220000000

Investment in water and sanitation with private participation (current US$) IE.PPI.WATR.CD 200000000 123200000 632000000 0 0 36700000 0 0 8100000 0 20200000 0 0

Scientific and technical journal articles IP.JRN.ARTC.SC 72 66 59 86 104 89 86 103 120 129.5 141 146.1 136 162.7 181.6 188.7 178.3 156.6 181.6 205.2 215.1 197.5 218.9 262

Patent applications, nonresidents IP.PAT.NRES 155 115 132 178 266 276 325 486 518 494 464 397 463 465 475 636 682 559 731 591 601 661 1280 3905 2031 2305 2813 3957 3939 1753 2784 3733 3714 3609 3099 3441 4069 4324

Patent applications, residents IP.PAT.RESD 3 10 8 7 4 4 8 5 1 3 3 2 9 12 5 16 40 26 49 32 62 113 34 67 38 29 61 40 79 93 152 157 212 234 201 227 235 288

Trademark applications, aggregate direct IP.TMK.AGGD

Trademark applications, Madrid IP.TMK.MDRD

Trademark applications, direct nonresident IP.TMK.NRES 540 656 451 485 261 1088 1238 1311 1410 1668 2311 1438 1507 1534 1840 1790 1343 1670 2300 2479 2383 2252 2581 4339 4682 3114 2427 2417 5251 9714 11938 12520 9581 8023 13685 10082 16005 11078 14051 5018 4525

Trademark applications, direct resident IP.TMK.RESD 2234 3683 2056 3138 2187 1813 4496 2878 3486 4276 3608 3349 4002 4354 4302 5076 6714 5425 10129 10513 10510 9802 11807 14912 15109 15728 16711 13363 22237 15696 16251 26128 20423 28317 35626 30734 36644 32181 33555 37759 43269

Trademark applications, total IP.TMK.TOTL 2774 4339 2507 3623 2448 2901 5734 4189 4896 5944 5919 4787 5509 5888 6142 6866 8057 7095 12429 12992 12893 12054 14388 19251 19791 18842 19138 15780 27488 25410 28189 38648 30004 36340 49311 40816 52649 43259 47606 42777 47794

CPIA business regulatory environment rating (1=low to 6=high) IQ.CPA.BREG.XQ 3 3

CPIA debt policy rating (1=low to 6=high) IQ.CPA.DEBT.XQ 4.5 4.5

CPIA economic management cluster average (1=low to 6=high) IQ.CPA.ECON.XQ 4.3333333333 4.3333333333

CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) IQ.CPA.ENVR.XQ 2.5 3

CPIA quality of budgetary and financial management rating (1=low to 6=high) IQ.CPA.FINQ.XQ 3.5 3.5

CPIA financial sector rating (1=low to 6=high) IQ.CPA.FINS.XQ 3.5 3.5

CPIA fiscal policy rating (1=low to 6=high) IQ.CPA.FISP.XQ 4 4

CPIA gender equality rating (1=low to 6=high) IQ.CPA.GNDR.XQ 3.5 3.5

CPIA building human resources rating (1=low to 6=high) IQ.CPA.HRES.XQ 3.5 3.5

IDA resource allocation index (1=low to 6=high) IQ.CPA.IRAI.XQ 3.65 3.675

CPIA macroeconomic management rating (1=low to 6=high) IQ.CPA.MACR.XQ 4.5 4.5

CPIA quality of public administration rating (1=low to 6=high) IQ.CPA.PADM.XQ 3.5 3.5

CPIA equity of public resource use rating (1=low to 6=high) IQ.CPA.PRES.XQ 4 4

CPIA property rights and rule-based governance rating (1=low to 6=high) IQ.CPA.PROP.XQ 2.5 2.5

CPIA social protection rating (1=low to 6=high) IQ.CPA.PROT.XQ

CPIA public sector management and institutions cluster average (1=low to 6=high) IQ.CPA.PUBS.XQ 3.2 3.2

CPIA efficiency of revenue mobilization rating (1=low to 6=high) IQ.CPA.REVN.XQ 3.5 3.5

CPIA policies for social inclusion/equity cluster average (1=low to 6=high) IQ.CPA.SOCI.XQ

CPIA structural policies cluster average (1=low to 6=high) IQ.CPA.STRC.XQ 3.6666666667 3.6666666667

CPIA trade rating (1=low to 6=high) IQ.CPA.TRAD.XQ 4.5 4.5

CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) IQ.CPA.TRAN.XQ 3 3

Burden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient) IQ.WEF.CUST.XQ 3.0135135135 3.2612984833 3.6973797069 3.8633159284 3.9

Quality of port infrastructure, WEF (1=extremely underdeveloped to 7=well developed and efficient by international standards) IQ.WEF.PORT.XQ 2.6631936822 3.0448873437 3.3962824572 3.6232083659 3.6

Air transport, registered carrier departures worldwide IS.AIR.DPRT 23500 24000 34200 42500 64800 74100 91600 105500 115300 120400 124800 142600 145300 143400 183000 185800 181500 190600 206100 193200 205400 215700 236900 227200 230500 262200 311200 194700 196700 135000 159027 164651 152278 155609 318488 320724 357414 357789 345240 330112 404547

Air transport, freight (million ton-km) IS.AIR.GOOD.MT.K1 14.1999998093 17.6000003815 19.8999996185 27.7000007629 41.2999992371 42.9000015259 43.5999984741 52.0999984741 58.9000015259 79.8000030518 121.9000015259 156 177.8999938965 189 169.8000030518 153.1000061035 222 340.200012207 455 438.200012207 458.6000061035 475.5 504.1000061035 615.5 733.700012207 782.5999755859 749.4000244141 710 429.3999938965 362 408.542 408.372 405.498 424.362 434.101 439.773 469.222 484.52 394.583 276.918 659.687

Air transport, passengers carried IS.AIR.PSGR 826400 994500 1286800 1787400 2219700 2527500 3103200 3781300 4431100 4656100 5059100 6098100 6028700 5567500 6494300 6468100 7115400 7568900 8823700 8983400 9223100 10401800 11176800 12009000 13924500 15977200 17138800 12650200 12613600 8046800 9916365 12453812 12113452 12221066 26780550 26835524 29867483 30405918 29766093 27421235 35321225

Road sector diesel fuel consumption (kt of oil equivalent) IS.ROD.DESL.KT 1161 1281 1325 1591 1668 1629 1749 1812 1946 2332 2651 3041 2998 3049 3165 3327 3605 3964 3852 4470 4860 5088 5464 6136 6670 7467 8288 7845 7948 8762 9279 9168 8765 7797 7240 6497 6730 8293 10755 12854

Road sector diesel fuel consumption per capita (kg of oil equivalent) IS.ROD.DESL.PC 9.5629735108 10.2885166725 10.3789456453 12.1577117936 12.4379291039 11.8574421008 12.4317593082 12.5809988591 13.2018412756 15.4621357888 17.1835529299 19.2763062312 18.5927457134 18.5116692032 18.8259272621 19.4025456408 20.6274192623 22.2688122027 21.2585269831 24.2478897243 25.9266648813 26.7069172664 28.2339837457 31.2282992965 33.4502941843 36.9183690067 40.4167552653 37.7455105492 37.7378600989 41.0599270103 42.9178993074 41.8579744954 39.5105942373 34.7140395486 31.8517328234 28.2578334144 28.9509999637 35.2966983086 45.3005196671 53.5871504934

Road density (km of road per 100 sq. km of land area) IS.ROD.DNST.K2 19 20 21 21 20.8111017185 23 25

Road sector energy consumption (kt of oil equivalent) IS.ROD.ENGY.KT 2523 2707 2895 3318 3606 3738 4069 4435 4771 5407 6020 6412 6192 6318 6506 6967 7557 8201 8461 9639 10360 10946 11536 12935 14158 15648 17449 17216 17324 18880 19912 20329 20634 21473 21349 20759 21928 23744.719 28334.068 31576.223

Road sector energy consumption per capita (kg of oil equivalent) IS.ROD.ENGY.PC 20.7815522548 21.7416195414 22.6770170891 25.3546748782 26.8891920555 27.208789793 28.9221432961 30.7928973179 32.3668986258 35.8506724743 39.0211198181 40.644418137 38.4010278377 38.3590442852 38.6987307322 40.630458515 43.240334914 46.0712736817 46.6948070623 52.2875635465 55.2675407758 57.4555653297 59.6096699286 65.8308427967 71.002888315 77.3668994531 85.090729081 82.8332325832 82.2560000444 88.4742549595 92.0984169641 92.8153101568 93.0133030796 95.602740955 93.9230171334 90.2884968214 94.3294988415 101.0623637967 119.3443054098 131.6383860209

Road sector energy consumption (% of total energy consumption) IS.ROD.ENGY.ZS 7.1976318507 7.4186627355 7.586691711 8.3869617778 8.7660554219 8.6928619325 8.5165869898 8.6733187925 8.915028011 9.7053021877 10.2675983438 10.6714886084 10.1198769042 9.9366628179 9.8824474821 9.5935773953 10.0765034221 10.6449359232 10.3931073394 9.7736194892 10.0141115845 10.1501990212 9.7388711975 10.9057902529 10.8227230248 11.5428102643 12.4523221786 12.5600583418 12.058054619 12.170561027 12.4930484988 12.3049205682 12.4930553773 12.125032399 11.8269596967 11.1975428775 11.8734386094 12.7032353798 14.2730760325 15.1919328096

Roads, goods transported (million ton-km) IS.ROD.GOOD.MT.K6

Roads, paved (% of total roads) IS.ROD.PAVE.ZS 45.0999984741 45.2999992371 53.5999984741 53.7999992371 53.7999992371 52.4000015259 46.2999992371 56.4000015259 47.2999992371 46.2999992371 57.0999984741 58.9000015259 58 58.3264960218 55.322 55.4242996964 53.0053784466 60.8604267736 59.1064946694 56.94078

Roads, passengers carried (million passenger-km) IS.ROD.PSGR.K6

Road sector gasoline fuel consumption (kt of oil equivalent) IS.ROD.SGAS.KT 1236 1292 1425 1563 1758 1919 2112 2393 2578 2799 3064 3053 2889 2958 3021 3295 3578 3833 4184 4687 4982 5309 5495 6150 6776 7396 8283 8489 8490 9159 9627 10125 10800 12520 12942 13112 13965 15344 17605 18893

Road sector gasoline fuel consumption per capita (kg of oil equivalent) IS.ROD.SGAS.PC 10.1807366575 10.3768645908 11.1622622978 11.9437482925 13.1090403865 13.9683433956 15.0119357684 16.6149725551 17.4893868492 18.5585411976 19.860583243 19.3523718921 17.9167586278 17.9591726805 17.9693921829 19.2159266265 20.4729281887 21.5328852606 23.0907780107 25.4250244156 26.5774988557 27.8669464951 28.3941692318 31.2995503054 33.9818880649 36.5673305442 40.3923725702 40.8440585153 40.3113276597 42.9203231554 44.5274939792 46.2273114928 48.6839039091 55.7419231946 56.9371721271 57.0288920624 60.0744003704 65.3071914684 74.1530124351 78.7631892229

Roads, total network (km) IS.ROD.TOTL.KM 288727 313897 319758 344892 356878 327227 336377 341467 355363 342700 355950 368360 370516 372629 391009 393794 421535 437759 476337

Railways, goods transported (million ton-km) IS.RRS.GOOD.MT.K6 1000 970 950 800 900 1270 1355 1575 1903 2976 3190 3465 3778.602 3955.725 3820 4170 4730 4980 4960 4698 4698 4390

Railways, passengers carried (million passenger-km) IS.RRS.PASG.KM 5900 5900 6200 6300 6100 6343 7327 7521 7744 8390 9290 9726 10458.023 12224.251 13424 15520 15207 15162 16196 25535 25535 14344

Rail lines (total route-km) IS.RRS.TOTL.KM 6458 6458 6458 6458 6458 6458 6458 6458 4992 4992 4992 5041 5041 5041 5324 5324 3370

Liner shipping connectivity index (maximum value in 2004 = 100) IS.SHP.GCNW.XQ 25.8789660729 28.8439259397 25.8449727358 26.2668186092 24.8467705974 25.6764919136 25.6013456765 25.91

Container port traffic (TEU: 20 foot equivalent units) IS.SHP.GOOD.TU 3797948 3901761 4539880 5176982 5369297 5503176 4316296 6582910 7404831 7243557.41 8371058.0664

Motor vehicles (per 1,000 people) IS.VEH.NVEH.P3 36 39.8657035917 46.9048458279 180.4818587227 59.5927356032

Passenger cars (per 1,000 people) IS.VEH.PCAR.P3 21 26.2496918093 29.5843471811 31.8783367202 34.3983498721 37.0659368375

Vehicles (per km of road) IS.VEH.ROAD.K1 21

Mobile cellular subscriptions IT.CEL.SETS 0 0 0 0 0 0 0 0 0 0 0 0 1750 2029 4531 6321 9008 12928 18096 24528 35546 53438 78024 210643 562517 916173 1065820 2220969 3669327 6520947 11700000 18495251 30336607 46909972 63803015 93386881 140578243 163676961 211290235 236799493

Mobile cellular subscriptions (per 100 people) IT.CEL.SETS.P2 0 0 0 0 0 0 0 0 0 0 0 0 0.0010624933 0.0012068817 0.0026424086 0.0036168077 0.0050604808 0.0071347414 0.0098163269 0.0130849637 0.0186580991 0.0276128774 0.0397092051 0.1056382357 0.2781198631 0.4467753369 0.5128096884 1.0545372094 1.7194966765 3.0161153867 5.3418226614 8.3372316894 13.5065560493 20.6376228577 27.7502688811 40.1730102294 59.8329655363 68.9414355261 88.0849667086 97.7195376248

Telephone lines IT.MLT.MAIN 82862 121000 143000 207500 219400 241000 275100 317100 375800 427185 475459 503253 536102 602356 677279 759127 828812 863814 1066222 1295002 1652378 1863947 2462831 3290854 4186030 4982466 5571644 6080193 6662605 7218938 7750035 8058139 10376381 13507830 14820733 19529507 30378071 33957892 37959600

Telephone lines (per 100 people) IT.MLT.MAIN.P2 0.0901196882 0.1161822743 0.1208160678 0.1547284346 0.1597006014 0.1713009716 0.1910062244 0.2151235287 0.2491711248 0.2768976257 0.3013841922 0.3121032374 0.3254884514 0.3582910029 0.3949785605 0.4343642414 0.4656069319 0.4767241232 0.5783810621 0.6908453266 0.8673333832 0.9631524396 1.2534228094 1.6503753286 2.0696585002 2.4297189785 2.6807463018 2.8869334777 3.1221875713 3.3389552127 3.5384027854 3.6324228219 4.6198037759 5.9426490633 6.4460797936 8.4011702295 12.9295261942 14.6610340704 17.0628828619 15.9361924387

Fixed broadband Internet subscribers IT.NET.BBND 0 4000 15000 38300 61600 84900 108200 194367 778770 981562 1863821 2280316 2736379

Fixed broadband Internet subscribers (per 100 people) IT.NET.BBND.P2 0 0.0018744546 0.0069379081 0.0174864793 0.0277678563 0.0377994351 0.0476016228 0.0845373296 0.335009959 0.4177727937 0.7850493711 0.9506428868 1.1292156383

Secure Internet servers IT.NET.SECR 60 60 85 103 131 169 234 320 480 820

Secure Internet servers (per 1 million people) IT.NET.SECR.P6 0.2775163227 0.2704661328 0.3784395744 0.4531392929 0.5697669967 0.7270013364 0.9959516947 1.3478536768 2.0010761037 3.3838763689

Internet users (per 100 people) IT.NET.USER.P2 0 0.0010597444 0.0261094772 0.0566239887 0.1949102636 0.2553066463 0.444415936 0.9255638645 2.0186138595 2.134135733 2.3870197796 2.6002858763 3.6020247626 4.7648131337 5.7862747293 7.9174793849 6.92 10.92 18

Daily newspapers (per 1,000 people) IT.PRT.NEWS.P3 24.5 22.89 22.91

Lead time to export, median case (days) LP.EXP.DURS.MD 2.5 2.12

Lead time to import, median case (days) LP.IMP.DURS.MD 3.9 5.35

Logistics performance index: Efficiency of customs clearance process (1=low to 5=high) LP.LPI.CUST.XQ 2.73 2.43 2.53

Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) LP.LPI.INFR.XQ 2.83 2.54 2.54

Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high) LP.LPI.ITRN.XQ 3.05 2.82 2.97

Logistics performance index: Competence and quality of logistics services (1=low to 5=high) LP.LPI.LOGS.XQ 2.9 2.47 2.85

Logistics performance index: Overall (1=low to 5=high) LP.LPI.OVRL.XQ 3.01 2.76 2.94

Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high) LP.LPI.TIME.XQ 3.28 3.46 3.61

Logistics performance index: Ability to track and trace consignments (1=low to 5=high) LP.LPI.TRAC.XQ 3.3 2.77 3.12

Arms imports (constant 1990 US$) MS.MIL.MPRT.KD 429000000 899000000 1069000000 173000000 530000000 353000000 16000000 1000000 5000000 9000000 28000000 90000000 5000000 70000000 65000000 4000000 156000000 60000000 173000000 380000000 897000000 784000000 342000000 236000000 95000000 282000000 419000000 245000000 283000000 287000000 155000000 11000000 51000000 212000000 466000000 281000000 378000000 108000000 89000000 165000000 147000000 28000000 68000000 358000000 77000000 36000000 63000000 576000000 238000000 461000000 228000000 201000000

Armed forces personnel, total MS.MIL.TOTL.P1 278100 285000 283000 278000 283000 271000 280000 460500 485200 484000 499000 499000 492000 492000 492000 497000 582000 582000 582000 582000 582000 582000 582000

Armed forces personnel (% of total labor force) MS.MIL.TOTL.TF.ZS 0.3682906119 0.3543832612 0.3535928006 0.3264919276 0.3269061174 0.5196407927 0.5301501731 0.5285561809 0.5385461156 0.5098511128 0.493841238 0.4856044803 0.477922544 0.4733900612 0.5431197613 0.5324159653 0.5237467175 0.5162426879 0.5090743641 0.4999688177 0.4933800419

Military expenditure (current LCU) MS.MIL.XPND.CN 1410000000000 1537000000000 1833000000000 2039000000000 2361000000000 2486000000000 2981000000000 3434000000000 4030000000000 4634000000000 6144000000000 6389000000000 7864000000000 14308000000000 19876000000000 21712000000000 20829000000000 23923000000000 30611000000000 31349000000000 34333000000000 42392000000000 49984000000000

Military expenditure (% of GDP) MS.MIL.XPND.GD.ZS 0.9420770143 0.8558774091 0.8692711858 0.8157024308 0.8360632427 0.7538447786 0.7799179182 0.755532102 0.756710891 0.7382561934 0.6428435768 0.5809599304 0.4776708323 0.7853627011 0.9870512542 0.9457161566 0.7507890802 0.7164254804 0.7747868254 0.6334809849 0.6124108876 0.6586422693 0.6729961042

Military expenditure (% of central government expenditure) MS.MIL.XPND.ZS 7.9773082942 7.7580258272 7.0389435356 7.9470022127 7.9520192664 7.6253547777 5.888654365 4.877549222 3.5904251583 5.1021918243 6.4546200591 5.9712647734 4.5404494451 4.0241095961 4.5161044831 3.4344142049 3.8885261547 4.5676740917

Arms exports (constant 1990 US$) MS.MIL.XPRT.KD 7000000 6000000 6000000 9000000 4000000 8000000 4000000 16000000 16000000 25000000 8000000 49000000 16000000 49000000 25000000 8000000 8000000 4000000

General government final consumption expenditure (current US$) NE.CON.GOVT.CD 401723469.748227 507509470.700923 585423338.01227 771794489.512329 833346049.255378 959134914.93012 1658792750.26506 1948385595.83614 2905204879.11325 3685951828.51084 4811879574.51566 5783282854.99992 5260167657.14089 8210657594.39577 10212738542.5007 10929061948.9341 8883377531.86577 8890773939.66878 9808388487.50803 8833114346.15979 7156066771.51604 7567064443.13314 8868399677.75963 10119870775.8862 10657021111.7348 12183386469.2467 14257437617.2067 14353349895.8491 15825045257.7254 17204969110.5433 14763283767.9479 5434199885.59383 9246329306.65485 10779164224.8088 11053285480.0226 14199987330.4344 19085795169.3866 21373634007.6269 23182542684.1098 31452114680.024 36074838967.2902 42981882961.1513 51741283202.7904 64014697920.5245 76101158008.1562

General government final consumption expenditure (current LCU) NE.CON.GOVT.CN 43000004 54000004 80000008 219000016 489000032 1279000064 26727999488 60090998784 150370992128 190848008192 281704988672 327855013888 398040989696 688398991360 808580022272 1205660024832 1529670008832 1996930023424 2556500115456 3277400047616 5148000124928 6451999801344 7228699967488 8077299941376 9121400094720 10892999655424 11328999653376 11763500187648 12755800162304 15697600053248 18648999657472 20784600842240 24731300397056 29756699443200 31014000787456 35584198311936 40299199987712 42952000798720 54415901851648 72631302750208 90779700000000 113416100000000 132218800000000 163701400000000 191055700000000 224980600000000 288079870000000 329760103000000 416866669000000 537588828000000 581921343800000 667440132900000

General government final consumption expenditure (constant 2000 US$) NE.CON.GOVT.KD 1626629159.28744 1510188424.7749 1219069966.71376 1226346197.50807 1441040451.25565 1044384959.4639 1459225176.37887 1291833893.25711 1462867276.02287 1499257768.07293 1746706639.61228 1888629994.38455 2041468317.88684 2605504945.42167 2332584036.77828 3042182383.49796 3264163451.19552 3799074736.28807 4468655556.74705 5004844539.99859 5990181653.94033 6579877080.14991 7171821115.67067 7038504232.10692 7279021261.18833 7821018280.27307 8052842180.77715 8038903791.23299 8648008973.96184 9538997130.57322 10000172706.4162 10526507651.167 11129355076.2004 11149700632.6966 11406704475.2081 11559729435.7734 11870877200.7377 11878145463.0383 10052292631.4734 10122135482.5434 10779164224.8088 11594467374.2663 13100990572.9405 14415499626.7349 14990734630.674 15985412784.7987 17521683392.8231 18203955566.2648 20102314434.6095 23253341120.6858 23320213481.1891 24058045848.0933

General government final consumption expenditure (annual % growth) NE.CON.GOVT.KD.ZG -7.158406933 -19.2769626151 0.5968673655 17.5068226398 -27.5256320144 39.7210064312 -11.4712441802 13.2395800775 2.4876140609 16.5047583417 8.1251969594 8.0925498354 27.6289679635 -10.4747799125 30.4211267646 7.2967705323 16.3873927605 17.6248393869 11.9988881766 19.687666741 9.8443663361 8.9962780202 -1.8588986174 3.4171611063 7.4460150566 2.9641140347 -0.1730865852 7.5769681856 10.3028125814 4.8346337621 5.2632585477 5.7269461536 0.1828098426 2.3050290853 1.3415352427 2.691652661 0.0612276766 -15.3715311641 0.6947952435 6.4910091689 7.5636954077 12.9934661942 10.0336615501 3.9903924167 6.6352862527 9.6104531594 3.8938734261 10.4282767634 15.6749447748 0.2875817293 3.163917721

General government final consumption expenditure (constant LCU) NE.CON.GOVT.KN 13699105423360 12718467710976 10266733445120 10328012226560 12136119009280 8795575549952 12289266679808 10879534891008 12319939624960 12626412175360 14710370992128 15905617608704 17192787640320 21942977429504 19644498837504 25620576731136 27490051424256 31994954121216 37634013396992 42149676580864 50447964438528 55414246866944 60399466577920 59276701728768 61302282125312 65866859282432 67819228102656 67701842116608 72831589154816 80335291285504 84219208400896 88651883085824 93728928694272 93900274401280 96064703037440 97353444884480 99973861474304 100035073146880 84658150703104 85246351507456 90779700000000 97646000000000 110333600000000 121404100000000 126248600000000 134625556000000 147563682000000 153309625000000 169297177000000 195834416000000 196397600000000 202611458470000

General government final consumption expenditure (% of GDP) NE.CON.GOVT.ZS 10.4368941748 10.8870975806 5.6777859735 6.4678088518 6.4957496281 5.1119106751 8.0179986848 6.7168398493 6.7963675819 6.6533261679 7.9922881676 8.4611236585 8.2647817859 9.6603299126 7.1558920097 9.0369824742 9.3721740024 9.9426921857 10.6509742353 9.5426661962 10.5247021773 11.0439171272 11.5388724559 10.4058341139 10.1478443257 11.2302666627 11.033027469 9.4246052948 8.5226568311 8.7411979586 8.8439923871 8.3148844676 8.7577006375 9.0233035012 8.1141814594 7.829063526 7.5669586926 6.8428097994 5.6935079723 6.6044571283 6.5319949727 6.8890593699 7.2574583384 8.1294864251 8.3218709605 8.1095097089 8.627168802 8.3464696793 8.4237809201 9.5891780884 9.0412812424 8.9865678887

Household final consumption expenditure, etc. (current US$) NE.CON.PETC.CD 5425526496.99524 6444118308.50875 7418971318.18405 7502805828.03288 7307085093.29064 7950836442.37108 11525601393.5036 17422704225.4651 20675407822.6506 24980637266.6602 29533173676.106 33803003917.1187 31763123170.7936 40128740658.9232 52936227450.2796 56316729658.8493 51043266092.4209 52137554948.1869 51583141330.8552 48372784274.7202 44680841120.3022 53225538909.5895 56627339532.1965 67388772034.2125 74896278912.0296 80452729506.345 92453023989.0184 105574135911.075 124466958598.082 141781319329.969 133076696497.705 64694378080.4675 103522316310.273 100175290941.521 99959432117.8707 127262929983.869 138358916195.225 161677968436.147 179132365164.647 220785033748.864 270961252160.595 319947853513.028 305507538230.25 401490333199.738 481264696804.415

Household final consumption expenditure, etc. (current LCU) NE.CON.PETC.CN 318018736 393873200 1227096256 2799782800 5877241120 21767000064 314132254720 811566489600 1909340651520 2418584649728 2738524127232 2874753515520 3299597123584 4783124578304 7230422253568 8580294246400 10366964465664 12256267075584 14942617468928 19790331445248 25160318713856 33442991570944 37249010368512 46411600625664 53490000068608 57287202832384 62041001033728 73448599584768 89722288340992 100233791930368 124184706940928 146071706664960 163312608215040 192958715396096 228119314169856 279876415258624 332094391189504 387170663661568 647823599075328 813183312855038 843653800000000 1.0256687E+15 1.1849695E+15 1.1867228E+15 1.445215045E+15 1.73843342136E+15 2.02223998187043E+15 2.476856806E+15 3.10306544895266E+15 3.17420499176E+15 3.64972110793E+15 4.22089993901E+15

Household final consumption expenditure, etc. (constant 2000 US$) NE.CON.PETC.KD 9493193232.82151 10181712921.6262 11431739490.2368 11150008415.7651 10880788872.4374 11457430909.9325 11397068574.2219 12476175933.6403 13854769167.5179 14484309054.266 14510307260.9685 15082250875.3758 14830985344.3777 15643537625.5437 18566793478.0231 20444935565.136 20924529318.0656 21454681171.2905 24600805831.4669 26017594047.6906 26847385168.8781 37480284163.4539 38480381915.8817 41973319326.6241 44496399418.4658 47440785724.0692 48263664176.9867 48928754502.2399 44587068923.838 48646394912.8289 56676560752.7076 61171201567.355 63388574383.2945 70934263775.7393 76486598615.1554 86341712862.5659 94482820055.7465 101871836909.643 95588058098.0749 100016891107.641 100175290941.521 103893628055.434 110463192955.204 110392121242.621 120267540989.933 122927727748.765 129802318179.492 140710703383.274 144652472267.551 148576201164.531 155537408948.019 161296764995.912

Household final consumption expenditure, etc. (annual % growth) NE.CON.PETC.KD.ZG 7.2527722961 12.2771735781 -2.464463739 -2.4145232298 5.2996344682 -0.5268400585 9.4682887305 11.0498059759 4.5438496963 0.1794922119 3.9416368249 -1.6659683828 5.4787477858 18.6866674435 10.1155974473 2.345782658 2.5336381295 14.6640476037 5.7591130385 3.1893461004 39.6049705686 2.6683302295 9.0771900819 6.0111521612 6.6171338447 1.7345379937 1.3780352913 -8.873484769 9.1042674187 16.5072167306 7.9303344362 3.6248639215 11.9038635367 7.8274370436 12.8847594557 9.4289387172 7.8204872055 -6.1683179593 4.6332492758 0.1583730829 3.7118306111 6.3233569014 -0.0643397232 8.9457650022 2.2118908701 5.59238388 8.4038446746 2.8013283919 2.712521145 4.6852778096 3.7028751391

Household final consumption expenditure, etc. (constant LCU) NE.CON.PETC.KN 79949541146624 85748099317760 96275542310912 93902866481152 91635559956480 96491909677056 95983551643648 105071551447040 116681754017792 121983597543424 122202548600832 127019329257472 124903227392000 131746360197120 156365364396032 172182655205376 176221686071296 180686505902080 207182461140992 219114333274112 226102647717888 315650534801408 324073133441024 353489867767808 374738681593856 399535641722880 406465739227136 412066980560896 375502279802880 409689011519488 477317264572416 515170119974912 533844335788032 597392437018624 644152953929728 727150512570368 795713088782336 857941729083392 805021155328000 842319792177152 843653800000000 874968800000000 930296200000000 929697650000000 1.012866217E+15 1.03526971238E+15 1.09316596889012E+15 1.18503393895079E+15 1.21823063113593E+15 1.2512753946E+15 1.309901123E+15 1.35840512603E+15

Household final consumption expenditure, etc. (% of GDP) NE.CON.PETC.ZS 77.1890135922 79.4099193548 87.0898651712 82.6870258169 78.0717470776 86.9984006446 94.2349615921 90.7151195359 86.2971024079 84.316481433 77.6950173371 74.1902485918 68.5116631546 67.1217738831 63.9888686413 64.3132949016 63.5176177138 61.0238162823 62.2544206854 57.6226655737 51.4383944682 57.2445193378 59.4590426611 59.7911951487 59.5093064705 59.0609184358 60.4201685542 58.845075828 59.9470251884 55.8151191541 58.892628181 58.4360206929 57.8312870781 58.5120354338 59.6827710893 61.5770577512 62.3571818038 61.6812991733 67.7814517537 73.9437972859 60.7045669934 62.3006131243 65.0426927072 58.9331972292 62.9496692048 62.6624816045 60.5603080899 62.6910594799 62.7048057966 56.619511734 56.7055244571 56.8311702929

Household final consumption expenditure (current US$) NE.CON.PRVT.CD 5443813875.69584 6472398807.89767 7446625700.90798 7546000336.30685 7356336623.30606 8018337495.90361 11645735198.2265 17692481353.4072 20932072065.5422 25301446567.1711 29933011812.5494 34216718812.4885 31323146003.4676 40821066489.9205 51115928148.5454 57336641933.9274 51043377378.063 52699964677.5606 51505883696.8521 49397296636.6978 43792928115.1122 53225547618.1761 54592497560.4651 65010496805.1395 72195846707.3192 77581381847.9103 92453018462.5293 105574130572.958 124466948805.28 141781317763.127 133076708751.72 64694378918.189 103522319514.009 101736066358.855 101322506379.014 132310082163.391 159969307925.416 171486082324.544 183992152032.632 228472909678.286 274642139809.649 309316637556.116 316748309826.621 400797723705.874 462162292767.746

Household final consumption expenditure (current LCU) NE.CON.PRVT.CN 324000000 399000000 1235000064 2832999936 5976999936 21813000192 315614003200 814301970432 1917719937024 2427599978496 2754290122752 2894130053120 3327610060800 4832980107264 7342379761664 8686809907200 10500100325376 12422199902208 15125500133376 19516199272448 25594400079872 32292999266304 37923600728064 46411701813248 54066998673408 57201402052608 63354999668736 71989003812864 89722303021056 96631999430656 119801997426688 140804999872512 157484002050048 192958703861760 228119302635520 279876393238528 332094387519488 387170699313152 647823607463936 813183338020864 856798300000000 1.039655E+15 1.2319645E+15 1.372078E+15 1.5328883E+15 1.7855964E+15 2.09265567E+15 2.5105038E+15 2.9999569E+15 3.2909959342E+15 3.6434249875E+15 4.0533635779E+15

Household final consumption expenditure (constant 2000 US$) NE.CON.PRVT.KD 9571080278.26448 10273056760.7764 11414844291.5054 11113600368.1274 10916018579.0718 11472751335.0999 11412309314.4524 12492858971.2274 13873296911.3926 14503678470.286 14529710543.0867 15102419132.8875 14850817929.093 15664456913.585 18591621312.216 20472275466.9624 20952510683.6335 21483371732.7962 24633701765.5138 26052384491.1107 26883285225.0435 37530402004.4733 38531838463.8398 42029445411.8805 44555900160.7969 47504222902.2798 48328201007.3255 48994179819.6243 45330027369.3617 48711445711.0103 57091010077.6552 61641167387.7921 63549796931.7362 71029120724.542 76588882200.0706 86227102017.9231 94609168491.5845 102008058309.154 95715992264.1558 100150634305.617 101736066358.855 105290863134.049 109329631496.105 113585717456.306 119227710717.358 123941218043.163 127874235544.066 134276568484.46 141441767887.329 148314349429.272 155344054385.059 162659413337.588

Household final consumption expenditure (annual % growth) NE.CON.PRVT.KD.ZG 7.3343495416 11.1143893908 -2.6390541622 -1.7778378069 5.1001448192 -0.5268310877 9.4682822468 11.0498160857 4.5438482498 0.1794860032 3.9416379845 -1.6659662375 5.4787486344 18.6866637942 10.1156005878 2.3457832885 2.5336393198 14.6640391085 5.7591130196 3.1893461968 39.6049689995 2.668333953 9.0771867824 6.0111541424 6.6171320315 1.7345365416 1.3780335258 -7.4787504633 7.4595550408 17.2024546682 7.9700066682 3.0963552847 11.7692331902 7.827439533 12.5843589056 9.7209186874 7.8204786444 -6.1682048941 4.6331254961 1.5830474407 3.4941362512 3.8358203569 3.8928933556 4.9671678688 3.9533656207 3.1732926003 5.0067419079 5.3361502187 4.8589477101 4.7397335341 4.7091335304

Household final consumption expenditure (constant LCU) NE.CON.PRVT.KN 80605488349184 86517376614400 96133254742016 93596246081536 91932256632832 96620934856704 96111905734656 105212052242432 116837790515200 122146722414592 122365958684672 127189181792256 125070252965888 131922537742336 156574458839040 172412905717760 176457338847232 180928131366912 207459503308800 219407330574336 226404989927424 316072616001536 324506488930304 353962549051392 375239783481344 400069895389184 407009253916672 412617977888768 381759308955648 410236854730752 480807663697920 519128066555904 535202115878912 598191300935680 645014363308032 726185285779456 796777166929920 859088955113472 806098588139520 843446147350528 856798300000000 886736000000000 920749600000000 956593400000000 1.004109E+15 1.0438051E+15 1.07692809E+15 1.1308471E+15 1.1911908E+15 1.2490701381E+15 1.3082727343E+15 1.3698810443E+15

Household final consumption expenditure per capita (constant 2000 US$) NE.CON.PRVT.PC.KD 104.0938874209 109.0259772008 118.1878176911 112.2379219274 107.5058884051 110.1595324263 106.8170084464 113.972677716 123.3609500284 125.7045968209 122.7568177275 124.3962395496 119.2762590662 122.7022995238 142.0688709555 152.6575005117 152.5126963152 152.7021763923 171.035636759 176.7417496929 178.2474299308 243.2688228303 244.2458131802 260.6547001399 270.5162626519 282.5627314383 281.8425385582 280.3393865604 254.6533467787 268.8301098216 309.6949701596 328.8374258758 333.5729498723 367.0269106891 389.7882229679 432.4320733373 467.7670006411 497.4462750681 460.5288713493 475.5247390837 476.7490822886 486.9988858693 499.1619684512 512.0181624153 530.8292247181 545.2683097945 556.1719017999 577.6286670602 602.0049932903 624.7063787292 647.6151564166 671.2431036191

Household final consumption expenditure per capita growth (annual %) NE.CON.PRVT.PC.KD.ZG 4.7381166196 8.4033555355 -5.0342716195 -4.2160737129 2.468370859 -3.0342575955 6.6989980094 8.2373008168 1.8998287481 -2.3450050102 1.3355036832 -4.1158643557 2.8723574033 15.7833810016 7.4531665417 -0.0948556055 0.1242388874 12.0060242754 3.3362128747 0.8519097726 36.47816573 0.4016093548 6.7181855632 3.78338181 4.4531403281 -0.2548789348 -0.5333304211 -9.1624798416 5.5670829472 15.2009982681 6.1810676829 1.4400806063 10.0289789174 6.2015377118 10.9402613667 8.1712087245 6.3448841809 -7.4213850961 3.2562274957 0.2574720313 2.1499367196 2.4975586053 2.5755555865 3.6739052799 2.7200998747 1.9996746207 3.8579376611 4.2200686393 3.7709629807 3.6671272245 3.6484549456

Household final consumption expenditure, PPP (current international $) NE.CON.PRVT.PP.CD 31850483085.1958 39495856363.3217 44975459941.5116 50819821862.4594 55912212887.396 58493715983.6268 62356886263.9436 67266190973.7991 80705860398.1894 85621944438.8598 103774473487.183 116192105366.11 124520624166.82 143200419977.593 160072615714.049 184498454353.692 208707504483.519 234405536189.067 251473400479.813 267716998357.789 281142685089.568 314599541662.357 338495888073.862 361729263479.948 390559377604.668 425869484520.085 455492364401.869 528187064587.24 597025791065.964 622646038845.635 666423822770.468 725920102254.797

Household final consumption expenditure, PPP (constant 2005 international $) NE.CON.PRVT.PP.KD 92372585986.7585 128956720030.865 132397715976.068 144415703950.797 153096754521.154 163227368903.827 166058607263.365 168346950543.937 155756702200.138 167375459130.566 196168146613.136 211802760979.105 218360926961.758 244060333652.209 263164008692.851 296281512057.153 325082796930.019 350505827640.69 328885910026.063 344123606976.648 349571246929.8 361785742592.561 375663193755.304 390287361264.393 409673589669.161 425869484520.085 439383569359.356 461382370662.907 486002427044.156 509617030844.243 533771520150.671 558907533781.811

Final consumption expenditure, etc. (current US$) NE.CON.TETC.CD 5827249966.74346 6951627779.20967 8004394656.19632 8274600317.54521 8140431142.54602 8909971357.3012 13184394143.7687 19371089821.3012 23580612701.7639 28666589095.1711 34345053250.6217 39586286772.1186 37023290827.9345 48339398253.3189 63148965992.7803 67245791607.7834 59926643624.2866 61028328887.8557 61391529818.3632 57205898620.88 51836907891.8182 60792603352.7226 65495739209.9562 77508642810.0987 85553300023.7644 92636115975.5917 106710461606.225 119927485806.924 140292003855.808 158986288440.513 147839980265.653 70128577966.0613 112768645616.928 110954455166.33 111012717597.893 141462917314.304 157444711364.611 183051602443.774 202314907848.756 252237148428.888 307036091127.885 362929736474.179 357248821433.04 465505031120.262 557365854812.571

Final consumption expenditure, etc. (current LCU) NE.CON.TETC.CN 361018740 447873204 1307096264 3018782816 6366241152 23046000128 340860254208 871657488384 2059711643648 2609432657920 3020229115904 3202608529408 3697638113280 5471523569664 8039002275840 9785954271232 11896634474496 14253197099008 17499117584384 23067731492864 30308318838784 39894991372288 44477710336000 54488900567040 62611400163328 68180202487808 73370000687104 85212099772416 102478088503296 115931391983616 142833706598400 166856307507200 188043908612096 222715414839296 259133314957312 315460613570560 372393591177216 430122664460288 702239500926976 885814615605246 934433500000000 1.1390848E+15 1.3171883E+15 1.3504242E+15 1.636270745E+15 1.96341402136E+15 2.31031985187043E+15 2.806616909E+15 3.51993211795266E+15 3.71179381976E+15 4.23164245173E+15 4.88834007191E+15

Final consumption expenditure, etc. (constant 2000 US$) NE.CON.TETC.KD 11109218692.6634 11684539952.3305 12650701882.2858 12375610555.1755 12316921603.1383 12504744975.6174 12852012926.385 13768553054.0527 15317756717.9923 15984206667.4801 16253466053.2762 16965943018.3388 16864442337.9279 18232851836.8786 20893167319.0526 23472172291.6851 24170819935.9609 25227689221.6334 29037647177.1845 30984017499.3348 32783785466.8283 44015596446.6198 45599318629.1325 48967569034.9698 51731628328.5265 55214083185.829 56266310823.9311 56918906551.0893 53168021031.3339 58110459316.9922 66608487294.9757 71628614409.7966 74442544521.0684 82021928689.0519 87836952891.2224 97860377662.2056 106322089230.229 113731664797.827 105641874703.965 110147396496.737 110954455166.33 115488095429.7 123564183528.145 124807620869.356 135258275620.607 138913140533.564 147324001572.315 158914658949.539 164754786702.161 171829542285.217 178857622429.208 185354810844.006

Final consumption expenditure, etc. (annual % growth) NE.CON.TETC.KD.ZG 5.1787733736 8.2687203253 -2.1745143445 -0.4742307604 1.5249213929 2.7770894284 7.1314908639 11.2517536001 4.3508325779 1.6845339365 4.3835386417 -0.5982613539 8.1141698701 14.5907810033 12.3437721684 2.9764933368 4.3725007611 15.102286706 6.7029202135 5.8086978796 34.2602625653 3.5980931996 7.3866244214 5.6446732971 6.7317712004 1.9057232818 1.1598338644 -6.5898762767 9.2958853645 14.6239215416 7.5367679386 3.9284999919 10.1815221615 7.0895970079 11.4113985527 8.6467186927 6.9689898132 -7.1130499217 4.2649013996 0.7327078944 4.0860371551 6.993004836 1.0063088718 8.3734107569 2.7021377407 6.0547627146 7.8674603279 3.6750088326 4.2941123136 4.0901465781 3.6326035908

Final consumption expenditure, etc. (constant LCU) NE.CON.TETC.KN 93559344594944 98404571021312 106541369786368 104224612417536 103730347245568 105312153501696 108236766183424 115955661275136 129002706567168 134615398350848 136883040419840 142883361390592 142028545458176 153552982900736 175957562359808 197677362970624 203561216507904 212461932249088 244548542398464 260940436078592 276097677656064 370689466957824 384027219460096 412393867837440 435672154374144 465000606990336 473862231818240 479358246453248 447769131089920 489393236213760 560961719107584 603240102100992 626938389463040 690770260525056 739743088246784 824158120312832 895420754558976 957822535729152 889692140601344 927636633157632 934433500000000 972614800000000 1.0406298E+15 1.05110175E+15 1.139114817E+15 1.16989526838E+15 1.24072965089012E+15 1.33834356395079E+15 1.38752780813593E+15 1.4471098106E+15 1.506298723E+15 1.5610165845E+15

Final consumption expenditure, etc. (% of GDP) NE.CON.TETC.ZS 87.625907767 90.2970169355 92.7676511447 89.1548346687 84.5674967056 92.1103113197 102.2529602769 97.4319593852 93.0934699898 90.9698076009 85.6873055048 82.6513722502 76.7764449405 76.7821037956 71.144760651 73.3502773758 72.8897917162 70.966508468 72.9053949207 67.16533177 61.9630966455 68.2884364651 70.997915117 70.1970292626 69.6571507962 70.2911850986 71.4531960232 68.2696811228 68.4696820194 64.5563171127 67.7366205681 66.7509051606 66.5889877156 67.535338935 67.7969525486 69.4061212772 69.9241404964 68.5241089728 73.4749597261 80.5482544142 67.2365619661 69.1896724942 72.3001510456 67.0626836543 71.2715401653 70.7719913134 69.1874768919 71.0375291592 71.1285867167 66.2086898224 65.7468056995 65.8177381816

Final consumption expenditure (current US$) NE.CON.TOTL.CD 5845537345.44407 6979908278.59859 8032049038.92025 8317794825.81918 8189682672.56143 8977472410.83373 13304527948.4916 19640866949.2434 23837276944.6554 28987398395.6819 34744891387.0651 40000001667.4884 36583313660.6085 49031724084.3162 61328666691.046 68265703882.8615 59926754909.9287 61590738617.2294 61314272184.3602 58230410982.8576 50948994886.6282 60792612061.3092 63460897238.2247 75130367581.0257 82852867819.054 89764768317.157 106710456079.736 119927480468.808 140291994063.005 158986286873.67 147839992519.668 70128578803.7829 112768648820.664 112515230583.664 112375791859.036 146510069493.826 179055103094.802 192859716332.171 207174694716.742 259925024358.31 310716978776.939 352298520517.267 368489593029.411 464812421626.399 538263450775.903

Final consumption expenditure (current LCU) NE.CON.TOTL.CN 367000004 453000004 1315000072 3051999952 6465999968 23092000256 342342002688 874392969216 2068090929152 2618447986688 3035995111424 3221985067008 3725651050496 5521379098624 8150959783936 9892469932032 12029770334208 14419129925632 17682000248832 22793599320064 30742400204800 38744999067648 45152300695552 54489001754624 63188398768128 68094401708032 74683999322112 83752504000512 102478103183360 112329599483904 138450997084160 161589600714752 182215302447104 222715403304960 259133303422976 315460591550464 372393587507200 430122700111872 702239509315584 885814640771072 947578000000000 1.1530711E+15 1.3641833E+15 1.5357794E+15 1.723944E+15 2.010577E+15 2.38073554E+15 2.840263903E+15 3.416823569E+15 3.8285847622E+15 4.2253463313E+15 4.7208037108E+15

Final consumption expenditure (constant 2000 US$) NE.CON.TOTL.KD 11141542887.2886 11737464695.2497 12611288716.4679 12315491258.5222 12318485420.0236 12504744975.6174 12852012926.385 13768553054.0527 15317756717.9923 15984206667.4801 16253466053.2762 16965943018.3388 16864442337.9279 18232851836.8786 20893167319.0526 23472172291.6851 24170819935.9609 25227689221.6334 29037647177.1845 30984017499.3348 32783785466.8283 44015596446.6198 45599318629.1325 48967569034.9698 51731628328.5265 55214083185.8289 56266310823.9311 56918906551.0893 53851685915.3621 58110459316.9922 66947307646.3776 72016966917.9322 74519034091.9317 82021928689.0519 87836952891.2224 97630199753.678 106322089230.229 113731664797.827 105641986262.877 110147396496.737 112515230583.664 116885330508.315 122430622069.046 128001217083.041 134218445348.032 139926630827.962 145395918936.889 152480524050.725 161544082321.938 171567690549.958 178664267866.248 186717459185.681

Final consumption expenditure (constant LCU) NE.CON.TOTL.KN 93831571701760 98850291318784 106209440956416 103718301204480 103743517360128 105312153501696 108236766183424 115955661275136 129002706567168 134615398350848 136883040419840 142883361390592 142028545458176 153552982900736 175957562359808 197677362970624 203561216507904 212461932249088 244548542398464 260940436078592 276097677656064 370689466957824 384027219460096 412393867837440 435672154374144 465000606990336 473862231818240 479358246453248 453526803185664 489393236213760 563815188004864 606510719696896 627582567448576 690770260525056 739743088246784 822219613667328 895420754558976 957822535729152 889693080125440 927636633157632 947578000000000 984382000000000 1.0310832E+15 1.0779975E+15 1.1303576E+15 1.178430656E+15 1.224491772E+15 1.284156725E+15 1.360487977E+15 1.4449045541E+15 1.5046703343E+15 1.57249250277E+15

Gross national expenditure deflator (base year varies by country) NE.DAB.DEFL.ZS 0.0004078868 0.0004718791 0.0011949443 0.0030066059 0.0067509739 0.0221584798 0.3041326397 0.765812255 1.6317471789 2.0300231631 2.350662245 2.4292511935 2.9872080026 4.0273835175 4.9642064878 5.3610225071 6.463612859 7.308335265 7.5408402621 9.086566146 10.8477335549 10.3780839647 10.9675565876 13.126689393 14.1683040632 14.3911063136 15.2766530435 17.9317981206 21.2354440881 22.9717819501 23.75551953 26.1650127696 27.7423090741 30.3394688536 32.3935554943 34.9409070069 37.854694666 41.4852674754 70.6681861162 83.5049231954 100 115.4327335289 125.4048007367 132.6594756811 144.0716493701 166.5248949646 188.7382282507 213.0526320899 259.9637856357 278.6968253259 305.6094702458 335.1089234284

Gross national expenditure (current US$) NE.DAB.TOTL.CD 6384452328.11534 7716393627.6792 9199152322.74846 9803427716.5589 9950084901.16646 11444838775.0554 16757502455.3639 24686343042.159 31188202764.9542 38146492460.4145 45661872897.8506 52556991972.557 50708036427.0133 67115833922.3593 87834024710.3043 93535537185.8785 86664979605.2859 84537891623.8065 85809223028.9767 80860775611.2649 74762722955.0419 86402974679.6125 98533601625.1759 112601243775.685 125995382057.132 135035816021.763 153288389730.607 174865399210.874 204829000416.821 228769447533.894 216342963881.4 86139534086.6086 128683160949.982 147664529427.412 147176282422.093 183342251868.446 217542936642.034 244837222085.564 274014784270.641 344838854223.309 414745729023.083 504860608168.278 524438708958.858 696140333434.417 834873637780.346

Gross national expenditure (current LCU) NE.DAB.TOTL.CN 399018740 506873204 1399096264 3341782816 7424241152 24994000128 358413254656 955005485056 2286305640448 2998923657216 3578251116544 3914562535424 4749608091648 6954363518976 10244832362496 12943104147456 15830794371072 18949677252608 23232817659904 31594149052416 42080956055552 55490024308736 61866273406976 78801000202240 86730799579136 95298003140608 103708801105920 122898700304384 145649490198528 174410392666112 207502704640000 245731306766336 274111909593088 319928213176320 377840411344896 460578510340096 535846688129024 629423866904576 862566804881408 1.01082551916953E+15 1.2435975E+15 1.5101537E+15 1.7071348E+15 1.86589466E+15 2.188563107E+15 2.65924283691E+15 3.15848817500001E+15 3.791190709E+15 4.89647138601735E+15 5.44888671976E+15 6.32821729173E+15 7.32220358191E+15

Gross national expenditure (constant 2000 US$) NE.DAB.TOTL.KD 11615824394.1013 12754544054.7623 13902608268.3593 13197694150.8481 13058160099.1036 13393440447.1869 13993210788.5815 14807437200.4672 16637105197.3983 17541259048.682 18074942687.7165 19134061080.731 18879420394.6273 20503629497.4817 24504811380.191 28667324382.0684 29081962958.7409 30787874023.389 36582930176.4515 41286038738.5872 46062015191.2072 63488355861.1933 66979271266.6636 71280849424.2354 72686176954.4195 78629581558.317 80609039058.3626 81380395223.2491 81441162956.0758 90151720621.2025 103718344076.834 111515666547.048 117322590775.39 125210546892.755 138498838832.531 156518559360.993 168080429333.382 180154725244.799 144932285876.701 143734314489.136 147664529427.412 155341865499.801 161640430533.849 167011043961.791 180375227258.022 189616084843.304 198708171422.25 211292982235.18 223648872845.261 232151825466.21 245873045403.83 259449090382.099

Gross national expenditure (constant LCU) NE.DAB.TOTL.KN 97825864024064 107415905239040 117084644179968 111148015812608 109972891369472 112796547153920 117847678255104 124704910213120 140113963122688 147728543776768 152223107514368 161142764732416 158998238068736 172676962320384 206374017433600 241429766995968 244921759956992 259288559779840 308093221076992 347701745025024 387923945979904 534684672983040 564084378435584 600311303503872 612146656313344 662200674942976 678871221403648 685367409770496 685879181967360 759237542150144 873492597702656 939159896195074 988064507756548 1.0544951024681E+15 1.16640611250995E+15 1.31816415140249E+15 1.41553562340556E+15 1.51722263157146E+15 1.22058715850343E+15 1.21049811255296E+15 1.2435975E+15 1.3082543E+15 1.3612994E+15 1.4065295E+15 1.51907965E+15 1.596904077E+15 1.673475588E+15 1.779462038E+15 1.88352057346924E+15 1.9551305306E+15 2.070687563E+15 2.1850219645E+15

Gross national expenditure (% of GDP) NE.DAB.TOTL.ZS 96.8492087379 102.1921782258 99.2971043612 98.6941136938 98.6216943677 99.896082623 107.5185969575 106.7484153726 103.3349139832 104.5482079328 101.5190188657 101.0251369598 98.6191760702 97.5908546766 90.6662445575 97.014583658 96.9940958414 94.3502304691 96.7933233461 91.9913387995 86.0313751111 94.9825246004 98.7545535679 101.5178515175 96.4907408107 98.2486019967 100.9993897418 98.4631889438 97.3142105384 97.1203090385 98.4048674909 98.3048672118 97.0668750469 97.0137622819 98.8542459048 101.3342603519 100.615638918 100.2753707479 90.2499235176 91.9156555469 89.4822588977 91.7289388103 93.7042212532 92.6611825498 95.3279057647 95.8534007126 94.5876941863 95.957813008 98.9448312965 97.1938820485 98.3211784666 98.5878378298

Exports of goods and services (current US$) NE.EXP.GNFS.CD 549939020.978352 850449461.653154 831624097.766871 1298928726.96986 1481077568.11673 2030161416.63614 3612714795.79759 8112644905.33012 7718352535.7494 9647266833.27229 12023764533.0506 12441087132.0365 16846773884.9321 26664131298.515 26854619167.2088 23966056268.6223 22488397277.543 22417491987.622 19389868435.5614 15601609327.9591 18173190917.4787 21110163794.2419 24640067227.7087 28982530241.0888 33063805666.8527 38801526291.7036 42274398287.0896 46896633859.5543 53185313144.4533 58717199880.0858 60106040385.3565 50555727069.5257 49720260523.8385 67621169359.8417 62625866713.1114 63956799298.5592 71553141756.8334 82744350707.5308 97387622312.8673 113143428508.797 127226102177.005 152095145102.519 130357767224.835 174323240916.275 222948755857.749

Exports of goods and services (current LCU) NE.EXP.GNFS.CN 61981256 53126792 81903800 344217312 1033758784 1383000064 44558753792 82261524480 251981365248 271109455872 474108985344 582685556736 842516987904 1499276640256 3366747635712 3203116302336 4003615735808 4989862281216 5499582414848 10496550895616 16718143422464 16965674467328 15851628527616 20447800328192 22999000416256 21533999235072 20010000973824 29873999446016 35585402077184 43614398840832 53409298251776 64484999692288 78763995955200 88230900793344 101331901612032 119592500330496 137533300146176 174871304732672 506244808835072 390560099598336 569490300000000 642594600000000 595514000000000 613720800000000 739639307000000 945121766800000 1.036316461E+15 1.1629738E+15 1.4751191E+15 1.35440938E+15 1.5846738E+15 1.9553572E+15

Exports of goods and services (constant 2000 US$) NE.EXP.GNFS.KD 9165347489.34449 9964659122.19444 9129828924.81414 8561428301.91071 9573886184.10261 9229739890.73525 9113495504.88737 9146725119.60727 10059701338.4752 11553774978.8688 13529198428.9873 15654036115.9711 18974059205.9154 22509895002.4004 23987291581.5771 23406195156.1132 27390332430.8345 29979905618.2141 30278789871.4002 30972220144.4371 32684515964.6487 26785635319.2049 24373048352.8954 24774873591.7256 26396509867.1821 24336747879.9224 28039336359.4651 32138994879.2326 32477251459.7065 34665712588.4406 35829013059.9903 42556868056.019 48391869271.8528 51347519043.2771 56452263592.518 60811041589.8699 65408368398.3635 70510204447.4101 78395483150.8973 53461815409.1799 67621169359.8417 68057312551.7023 67229102385.0236 71186462734.1372 80816802684.8184 94233454015.342 103096605730.726 111904127845.668 122572463895.097 110695022932.785 127594082026.48 144913423048.371

Exports of goods and services (annual % growth) NE.EXP.GNFS.KD.ZG 8.7210183114 -8.377910244 -6.2257532708 11.8258057708 -3.5946353106 -1.2594546241 0.3646198619 9.9814546401 14.8520675726 17.0976451743 15.7055696842 21.2087353405 18.6351046875 6.5633206153 -2.4225178715 17.0217211646 9.4543328159 0.9969486128 2.2901518719 5.5284891178 -18.047936374 -9.0070178943 1.6486458034 6.5454875863 -7.803160333 15.2139821549 14.6210968306 1.0524802712 6.7384431575 3.3557667929 18.7776732358 13.7110682303 6.1077404446 9.941560263 7.7211748829 7.560019839 7.7999744895 11.1831737906 -31.804980006 26.4849852971 0.6449802569 -1.21693046 5.8863798693 13.5283305011 16.6013141881 9.4055256787 8.5429797155 9.5334606996 -9.6901380497 15.2663224109 13.5737808108

Exports of goods and services (constant LCU) NE.EXP.GNFS.KN 77188497932288 83920120971264 76889368559616 72102426181632 80629119057920 77730796273664 76751812165632 77031664517120 84720545169408 97303297785856 113939870384128 131834776125440 159795264880640 189573279776768 202015581929472 197121718353920 230675227607040 252484031348736 255001167396864 260841081405440 275261652205568 225582604353536 205264338812928 208648420720640 222305477197824 204958624382976 236140992921600 270667396153344 273516117098496 291946845175808 301743900459008 358404384096256 407545453740032 432437272248320 475428284268544 512136933539840 550854587318272 593821104603136 660229150736384 450243401351168 569490300000000 573163400000000 566188400000000 599516400000000 680620960000000 793612984000000 868256457000000 942431430000000 1.03227776E+15 932248620000000 1.0745687E+15 1.2204283E+15

Exports of goods and services (% of GDP) NE.EXP.GNFS.ZS 15.0439941748 10.7110467742 5.8129025039 10.1658977846 13.7321836344 5.5275781369 13.3669573534 9.1950125123 11.3888853015 9.4513935681 13.4510065001 15.0376670806 17.4937236018 21.0394076065 29.7955450809 24.0088460186 24.5298548695 24.8444683234 22.9125397849 30.5623603935 34.1789969325 29.0402214187 25.3032939009 26.34251789 25.5871109092 22.2007308707 19.4872360449 23.9342584151 23.7760208094 24.2866484571 25.3285128325 25.7972393315 27.8914366214 26.7547883649 26.5114276271 26.3121645768 25.8245523827 27.8592627914 52.9681353606 35.514128704 40.9773085458 39.0321334466 32.6876211623 30.477655734 32.2166931957 34.0672668843 31.0347163143 29.4357184851 29.8082841674 24.1591195221 24.6209932938 26.327380327

Gross fixed capital formation, private sector (current LCU) NE.GDI.FPRV.CN

Gross fixed capital formation, private sector (% of GDP) NE.GDI.FPRV.ZS

Gross fixed capital formation (current US$) NE.GDI.FTOT.CD 12306680111.7542 16826105434.4813 22373211622.2483 23921866482.7386 21471195767.3365 19340800124.4537 19846117695.748 20429063140.1514 19112267492.1143 22753931907.7841 26951628495.0177 32427649194.8223 34603553047.7365 35850673812.4788 41525223401.5516 48770378875.098 57465752585.2166 67306789766.6667 61073530891.1611 24271332737.5215 28194535639.3475 32758080951.3285 31564179607.9036 38015221098.6024 45794855762.0053 57656326319.6051 67580800945.4141 87974482744.1205 107824865988.404 141330551849.431 167889043632.591 227161241304.962 271168914876.878

Gross fixed capital formation (current LCU) NE.GDI.FTOT.CN 7667800080384 10549799682048 14134500392960 15822400520192 19522899673088 19842499346432 22040700518400 26201500418048 31417700450304 38356301905920 47706001113088 59757998112768 67487999721472 72774001360896 86667297816576 105380596154368 129217496875008 157652696956928 177686102147072 243043408019456 221472303874048 275881200000000 323875300000000 353967000000000 392788560000000 515381230000000 655854250000000 805786123129580 985627100000000 1.37071697E+15 1.74435709E+15 2.06499412E+15 2.37826889E+15

Gross fixed capital formation (constant 2000 US$) NE.GDI.FTOT.KD 9383696168.99972 11857489135.2885 13382832140.9559 14202542121.5727 14754037585.1276 13868875393.4602 14866946160.3074 16234890498.4393 17127675550.3762 19098859761.8554 21947841284.7155 25476509421.1325 28763086750.9658 29794323384.5835 31760632870.0521 36129532846.5048 41185813017.1656 47163685340.4891 51204667857.0217 34302954882.0148 28061377212.9923 32758080951.3285 34884889037.4167 36522536606.996 36741783727.0339 42136690132.4668 46724174149.5551 47937545040.5973 52407184183.5781 58636369066.5172 60567505821.6134 65704400121.6155 71498785240.7345

Gross fixed capital formation (annual % growth) NE.GDI.FTOT.KD.ZG 26.3626711877 12.8639629205 6.1250860205 3.8830757116 -5.9994573456 7.1964794443 9.2012463312 5.4991750762 11.5087666489 14.917024149 16.0775180148 12.9004224068 3.5852780425 6.599611141 13.7557081886 13.9948672797 14.514396792 8.5679956673 -33.0081488317 -18.1954519384 16.7372531387 6.4924684973 4.6944325029 0.6003063873 14.6833002053 10.8871484748 2.5968803368 9.3238799342 11.8861277895 3.2934112153 8.481270989 8.8188692209

Gross fixed capital formation (constant LCU) NE.GDI.FTOT.KN 79027381469184 99861110194176 112707206381568 119610619723776 124255190646784 116800553484288 125206081306624 136726601269248 144245436448768 160846307131392 184839789608960 214557440081920 242236256157696 250921099460608 267480916295680 304274810601472 346857666510848 397201964531712 431234211643392 288891781251072 236326616039424 275881200000000 293792700000000 307584600000000 309431050000000 354865740000000 393500500000000 403719237109880 441361534049210 493822330000000 510085930000000 553347700000000 602146710000000

Gross fixed capital formation (% of GDP) NE.GDI.FTOT.ZS 22.3260070677 21.5682783584 24.1940880007 25.2566384509 25.1509857123 22.0754042481 22.7231205439 25.5169814357 25.1710308405 25.6273690629 26.5650544114 28.3392830759 26.9985902013 25.7702954507 26.2806476006 27.5706860702 28.4298098508 29.6023604939 28.3076964609 25.4295074435 20.1387594694 19.8508544472 19.6726582042 19.4291640498 19.5060596088 22.4486162493 23.640511262 24.1309915286 24.946943643 27.6985912221 31.1147663689 32.0837047853 32.0215608621

Changes in inventories (current US$) NE.GDI.STKB.CD 1378065487.32452 1950330234.55907 2311847095.27569 2367879095.35648 5267140213.66285 4168762611.4972 4571575514.86548 3225813850.23349 3813547571.1094 2856439419.10575 6086233920.20199 2664951770.76447 5838528985.63153 6549026233.69247 5052704722.83063 6167534528.85156 7071243975.79686 2476369326.71456 7429452724.58565 -8260376616.97428 -12280020306.2934 3951993309.7539 4599385216.29639 3864113455.5401 14303369515.4175 4129293322.18408 4119075476.47051 4627223050.30099 -115228093.206432 600319844.668232 -699156106.772513 3474061009.19282 6338868090.89631

Changes in inventories (current LCU) NE.GDI.STKB.CN 858617479168 1222837534720 1460532543488 1566162550784 4789199962112 4276900069376 5077100134400 4137300000768 6268900081664 4815099789312 10772999569408 4910999928832 11386999537664 13293999620096 10545500520448 13326500233216 15900399894528 5800399994880 21615100297216 -82716104065024 -96461400309760 33282800000000 47193600000000 35979500000000 122681900000000 36911132000000 39974565550000 42382200000000 -1053300000000 5822298064690 -7264190000000 31580720000000 55594620000000

Changes in inventories (constant LCU) NE.GDI.STKB.KN -5033145925632 -5472287981568 -5918180769792 -5983521734656 -6489123586048 -6954533519360 -7196379709440 -7625609052160 -8029766942720 -19517436592128 -19820149997568 -17176887033856 -15249829789696 -24878944092160 -16270445510656 -22890172907520 -24458819534848 -9061490753536 -5155843473408 9854222598144 14845748445184 33282800000000 41846800000000 13085000000000 45996700000000 25099093000000 33508308620000 29026700000000 -243060000000 2170435333310 -2065210000000 11041140000000 21858670000000

Gross capital formation (current US$) NE.GDI.TOTL.CD 557202361.371879 764765848.469527 1194757666.55215 1528827399.0137 1809653758.62043 2534867417.75422 3573108311.59518 5315253220.85783 7607590063.19036 9479903365.24337 11316819647.2289 12970705200.4384 13684745599.0788 18776435669.0404 24685058717.524 26289745578.0951 26738335980.9993 23509562735.9509 24417693210.6135 23654876990.3849 22925815063.2237 25610371326.8899 33037862415.2197 35092600965.5867 40442082033.368 42399700046.1713 46577928124.3823 54937913403.9496 64536996561.0135 69783159093.3812 68502983615.7468 16010956120.5472 15914515333.0541 36710074261.0824 36163564824.2 41879334554.1425 60098225277.4228 61785619641.7892 71699876421.8846 92601705794.4214 107709637895.197 141930871694.099 167189887525.818 230635302314.155 277507782967.774

Gross capital formation (current LCU) NE.GDI.TOTL.CN 38000000 59000000 92000000 323000000 1058000000 1948000000 17553000448 83347996672 226593996800 389490999296 558022000640 711954006016 1051969978368 1482839949312 2205830086656 3157149876224 3934159896576 4696480153600 5733700075520 8526417559552 11772637216768 15595032936448 17388563070976 24312099635200 24119399415808 27117800652800 30338800418816 37686600531968 43171401695232 58479000682496 64668998041600 78874999259136 86068000980992 97212798337024 118707096387584 145117896769536 163453096951808 199301202444288 160327303954432 125010903564288 309164000000000 371068900000000 389946500000000 515470460000000 552292362000000 695828815550000 848168323129580 984573800000000 1.37653926806469E+15 1.7370929E+15 2.09657484E+15 2.43386351E+15

Gross capital formation (constant 2000 US$) NE.GDI.TOTL.KD 1481091470.09136 2124446981.77782 1934684277.14869 1476463020.33866 1680119416.2427 1749540310.67059 1967081682.30957 1606060982.999 1957825778.86589 2485459090.05614 3295435057.60824 4012841781.091 4776519306.2522 5591120486.35645 6664917840.7968 7636913704.18974 8095091632.31538 9386449283.56721 10798091844.9951 13474662058.2208 16758377702.7601 18836098682.6579 19899928447.5625 20755326323.2003 19768699309.3437 21113103721.0742 22985305296.1464 24244711777.8836 30230763759.9727 33951082137.96 37645869462.187 41248987235.0846 45475559953.7415 45375718712.1401 52943034596.4407 59857766706.3235 62813615690.0899 66779036965.2733 40710380810.062 31250416195.8986 36710074261.0824 39853770070.1006 38076247005.7044 42203423092.4345 45116951637.415 50702944309.7402 51384169849.9353 52378323285.6408 58894086143.1002 60322283180.9931 67015422974.6224 74094279538.0929

Gross capital formation (annual % growth) NE.GDI.TOTL.KD.ZG 43.4379324085 -8.9323342148 -23.6845495786 13.7935317782 4.1319023967 12.4342017336 -18.3531117471 21.902331206 26.9499623963 32.5885857785 21.7697120696 19.0308406566 17.0542842575 19.2054053756 14.5837636204 5.9995168974 15.9523537213 15.0391539844 24.7874369995 24.3695584375 12.3981033054 5.6478243336 4.2984972428 -4.7536087773 6.8006720659 8.8674862768 5.479181005 24.6901346443 12.3063988972 10.8826791123 9.5710839579 10.2464884642 -0.2195492297 16.6770160321 13.0607022484 4.93812106 6.3129963649 -39.0371849309 -23.2372294877 17.4706731295 8.5635779069 -4.4601127102 10.8392407637 6.9035360914 12.3811393935 1.3435620938 1.9347465155 12.4398080136 2.4250262317 11.0956340521 10.5630260159

Gross capital formation (constant LCU) NE.GDI.TOTL.KN 12473419694080 17891615309824 16293476433920 12434439929856 14149588353024 14734235533312 16566320103424 13525884862464 16488368963584 20931978199040 27753413869568 33795252158464 40226772746240 47087160918016 56130441052160 64316371894272 68175043493888 79050567581696 90939104165888 113480577318912 141135292923904 158633392340992 167592727674880 174796696453120 166487545348096 177809817337856 193577078489088 204183517003776 254596702273536 285928388034560 317045056995328 347389705584640 382984951693312 382144111181824 445874345869312 504108666585088 529002162814976 562398050123776 342853683249152 263183986065408 309164000000000 335639500000000 320669600000000 355427750000000 379964833000000 427008808620000 432745937109880 441118474049210 495992765333310 508020720000000 564388840000000 624005380000000

Gross capital formation (% of GDP) NE.GDI.TOTL.ZS 9.2233009709 11.8951612903 6.5294532165 9.5392790251 14.0541976621 7.7857713032 5.2656366807 9.3164559874 10.2414439934 13.5784003318 15.8317133609 18.3737647096 21.8427311297 20.808750881 19.5214839065 23.6643062822 24.1043041252 23.3837220011 23.8879284254 24.8260070295 24.0682784656 26.6940881354 27.7566384509 31.3208222549 26.8335900146 27.9574168982 29.5461937186 30.193507821 28.844528519 32.5639919258 30.6682469228 31.5539620512 30.4778873314 29.4784233469 31.0572933561 31.9281390747 30.6914984216 31.7512617751 16.7749637915 11.3674011328 22.2456969316 22.5392663161 21.4040702075 25.5984988955 24.0563655994 25.0814093991 25.4002172944 24.9202838487 27.8162445799 30.9851922261 32.5743727671 32.7700996482

Imports of goods and services (current US$) NE.IMP.GNFS.CD 953550972.372637 1099479610.48454 1231818978.15951 1445616429.58904 1582044516.46771 1869915631.96145 3199036087.82651 5571276948.04819 6758602293.0506 8465084564.04819 9289493965.41687 10699920765.0679 12432189977.4918 15766759183.3048 22214765045.7942 22786429640.2415 23784175003.7312 19342944414.1525 17860217134.4638 16401727327.3338 17006296157.5087 18725515164.1951 21718471067.1013 27157275971.7786 30891187877.4656 34721072261.021 37555938138.7973 44869884826.9388 55882280717.1155 60116976064.6307 60700149620.052 41249713138.7794 38402068946.5996 50264686525.7451 49355201496.8912 51638440133.1563 54323619580.7712 70744689488.541 85533796566.9168 93411756735.0525 109755093425.227 146711204310.831 115216517130.994 162436733855.738 210990110712.888

Imports of goods and services (current LCU) NE.IMP.GNFS.CN 48999996 63999996 72000000 300000000 929999936 1356999936 69621997568 142635008000 325767004160 401572986880 527649996800 622407974912 776014987264 1327599976448 2312079933440 2804819951616 3513010094080 3855139995648 4729899843584 7746000257024 9885600186368 14034400182272 15071399903232 21625999196160 19844699258880 19835199160320 21036200361984 27955799523328 31565599997952 38442998169600 50045701324800 60247699881984 70481000529920 78383002157056 96952603639808 125656901877760 140811995971584 176599794188288 413058111373312 301654008135680 423317900000000 506426300000000 480815400000000 465940900000000 632376140000000 830083444000000 855587836000000 1.003271309E+15 1.42290208880128E+15 1.1970927E+15 1.4766203E+15 1.8504747E+15

Imports of goods and services (constant 2000 US$) NE.IMP.GNFS.KD 2332254340.35214 3143994831.22418 3083408879.65962 2259553041.18883 2459455903.04503 2259539345.34032 2162614323.41149 2774449960.30391 2968289794.52904 3592244514.25163 4022339727.53031 5276296755.65004 6015353129.42327 8062850608.84303 10655595256.7085 11897418261.0724 13890390326.4044 14508303184.8072 16343800881.9137 18157294579.7762 19925258296.8574 26659848662.1716 27035830083.8644 26304549465.8332 24328853094.806 25612902143.2579 26681190280.3782 27207941578.9239 22121287502.4669 24680799547.4273 30396851073.8078 35177293867.1372 38234386547.3932 39830491769.0893 47914177996.79 57946929889.6293 61924849747.1544 71037694823.7449 67279705391.8711 39913523473.2664 50264686525.7451 52365680577.3909 50140425315.7911 50924488021.542 64497541765.9161 75958076691.5379 82477305886.5028 89953261974.1096 98950897502.7884 84130571896.8383 98722450010.4245 111877633432.121

Imports of goods and services (annual % growth) NE.IMP.GNFS.KD.ZG 34.8049728894 -1.9270372509 -26.7189941595 8.8470090417 -8.1284871771 -4.2895921299 28.2914817621 6.9866040836 21.020680692 11.9728824575 31.1748164765 14.0071039974 34.0378600452 32.1566747748 11.6541870674 16.7512986566 4.448491683 12.6513602158 11.0959115995 9.7369336016 33.799262549 1.4102909077 -2.7048572793 -7.5108542482 5.2778856588 4.1708984446 1.9742421272 -18.6954755901 11.5703574879 23.1599122848 15.7267697951 8.6905283044 4.1745281298 20.2952207434 20.9390045124 6.8647637849 14.7159744655 -5.2901342607 -40.6752404149 25.9339746325 4.1798610453 -4.2494535296 1.5637336557 26.6532944595 17.7689484155 8.5826675436 9.0642583523 10.0025672568 -14.9774544547 17.3443229787 13.3254223536

Imports of goods and services (constant LCU) NE.IMP.GNFS.KN 19641722208256 26478018297856 25967777021952 19029448196096 20712985198592 19029332852736 18213052088320 23365794398208 24998269943808 30253076447232 33875241730048 44435786170368 50659952951296 67903516835840 89739029905408 100197384323072 116981747417088 122185670721536 137643820056576 152916656652288 167806049976320 224523257380864 227689688465408 221531007352832 204892136275968 215706108952576 224702991695872 229139172818944 186300514697216 207856150249472 255995452325888 296255267799040 322001415700480 335443455377408 403522445115392 488016028106752 521517175668736 598263510073344 566614567157760 336142729740288 423317900000000 441012000000000 422271400000000 428874600000000 543183810000000 639701861000000 694605345000000 757566168000000 833342233469240 708528780000000 831418300000000 942208300000000

Imports of goods and services (% of GDP) NE.IMP.GNFS.ZS 11.8932029126 12.903225 5.1100068651 8.8600114784 12.3538780021 5.4236607599 20.885554311 15.9434278849 14.7237992847 13.9996015009 14.9700253657 16.0628040404 16.112899672 18.630262283 20.4617896384 21.0234296767 21.5239507109 19.1946987926 19.7058631311 22.5536991929 20.2103720436 24.0227460191 24.0578474688 27.8603694075 22.0778517199 20.4493328675 20.4866257867 22.3974473589 21.0902313478 21.4069574956 23.7333803234 24.1021065433 24.9583116683 23.7685506467 25.3656735319 27.6464249287 26.4401913007 28.1346335393 43.2180588782 27.4297842509 30.4595674435 30.7610722568 26.3918424154 23.1388382838 27.5445989604 29.9206675969 25.6224105006 25.3935314931 28.7531154639 21.3530015706 22.9421717604 24.9152181568

External balance on goods and services (current US$) NE.RSB.GNFS.CD -403611951.394284 -249030148.831383 -400194880.392638 -146687702.619178 -100966948.35098 160245784.674699 413678707.971084 2541367957.28193 959750242.698795 1182182269.2241 2734270567.63373 1741166366.96861 4414583907.44036 10897372115.2102 4639854121.41466 1179626628.38081 -1295777726.18824 3074547573.46947 1529651301.09763 -800117999.374755 1166894759.96997 2384648630.04681 2921596160.60739 1825254269.31019 2172617789.38705 4080454030.68258 4718460148.29231 2026749032.61553 -2696967572.66222 -1399776184.54491 -594109234.695425 9306013930.74636 11318191577.2389 17356482834.0966 13270665216.2202 12318359165.4029 17229522176.0623 11999661218.9899 11853825745.9506 19731671773.7447 17471008751.7777 5383940791.68872 15141250093.8408 11886507060.5362 11958645144.8617

External balance on goods and services (current LCU) NE.RSB.GNFS.CN 12981260 -10873204 9903800 44217312 103758848 26000128 -25063243776 -60373483520 -73785638912 -130463531008 -53541011456 -39722418176 66502000640 171676663808 1054667702272 398296350720 490605641728 1134722285568 769682571264 2750550638592 6832543236096 2931274285056 780228624384 -1178198867968 3154301157376 1698800074752 -1026199388160 1918199922688 4019802079232 5171400671232 3363596926976 4237299810304 8282995425280 9847898636288 4379297972224 -6064401547264 -3278695825408 -1728489455616 93186697461760 88906091462656 146172400000000 136168300000000 114698600000000 147779900000000 107263167000000 115038322800000 180728625000000 159702491000000 52217011198719.8 157316680000000 108053500000000 104882500000000

External balance on goods and services (constant LCU) NE.RSB.GNFS.KN 57546777821184 57442100576256 50921593634816 53072973791232 59916135956480 58701465518080 58538760077312 53665872216064 59722275225600 67050223435776 80064624459776 87398985760768 109135311929344 121669762940928 112276552024064 96924334030848 113693480189952 130298360627200 117357347340288 107924424753152 107455602229248 1059346972672 -22425349652480 -12882586632192 17413340921856 -10747484569600 11438001225728 41528223334400 87215602401280 84090694926336 45748448133120 62149116297216 85544038039552 96993816870912 71905839153152 24120905433088 29337411649536 -4442405470208 93614583578624 114100671610880 146172400000000 132151400000000 143917000000000 170641800000000 137437150000000 153911123000000 173651112000000 184865262000000 198935526530760 223719840000000 243150400000000 278220000000000

External balance on goods and services (% of GDP) NE.RSB.GNFS.ZS 3.1507912621 -2.1921782258 0.7028956388 1.3058863062 1.3783056323 0.103917377 -7.5185969575 -6.7484153726 -3.3349139832 -4.5482079328 -1.5190188657 -1.0251369598 1.3808239298 2.4091453234 9.3337554425 2.985416342 3.0059041586 5.6497695309 3.2066766539 8.0086612005 13.9686248889 5.0174753996 1.2454464321 -1.5178515175 3.5092591893 1.7513980033 -0.9993897418 1.5368110562 2.6857894616 2.8796909615 1.5951325091 1.6951327882 2.9331249531 2.9862377181 1.1457540952 -1.3342603519 -0.615638918 -0.2753707479 9.7500764824 8.0843444531 10.5177411023 8.2710611897 6.2957787468 7.3388174502 4.6720942353 4.1465992874 5.4123058137 4.042186992 1.0551687035 2.8061179515 1.6788215334 1.4121621702

Trade (% of GDP) NE.TRD.GNFS.ZS 26.9371970874 23.6142717742 10.922909369 19.025909263 26.0860616366 10.9512388967 34.2525116644 25.1384403972 26.1126845862 23.450995069 28.4210318658 31.100471121 33.6066232738 39.6696698895 50.2573347192 45.0322756953 46.0538055804 44.039167116 42.618402916 53.1160595864 54.389368976 53.0629674379 49.3611413697 54.2028872975 47.664962629 42.6500637382 39.9738618317 46.3317057739 44.8662521571 45.6936059527 49.0618931559 49.8993458749 52.8497482897 50.5233390116 51.8771011589 53.9585895055 52.2647436835 55.9938963306 96.1861942388 62.9439129549 71.4368759893 69.7932057034 59.0794635777 53.6164940178 59.761292156 63.9879344812 56.6571268149 54.8292499782 58.5613996313 45.5121210927 47.5631650541 51.2425984838

Agriculture, value added (current US$) NV.AGR.TOTL.CD 3074808039.20171 3629764005.36475 4131993738.20859 4339972752.48219 4207971099.16243 4452048086.66988 6567806941.45542 8475132575.15181 9701445997.18554 11662072770.3133 14313421189.8602 15257776307.0335 15045099978.6525 18701255165.2139 21604564064.6732 22679236830.7227 19537535660.0882 19903407367.6426 20268688420.9348 19390904599.1565 17714511867.9801 19962389498.0352 21973265204.7456 22210643985.0462 23399237099.3863 25984273908.5368 28251352136.4376 30578039742.9559 34642103094.2018 37907951512.4799 34718567636.1803 17259285185.1806 27458003214.3933 25746530861.1025 24532763814.2172 30242187891.3354 35651016101.1337 36819570121.7321 37524881440.8549 47298660815.3839 59285800240.6739 73892290275.1514 82502574605.8206 108405041197.156 124676393792.781

Agriculture, value added (current LCU) NV.AGR.TOTL.CN 212000000 227000000 793000000 1866999936 3972999936 14008999936 169371992064 459938988032 1075470008320 1347029958656 1584090054656 1655500046336 1847599955968 2725639880704 3517180018688 4026100088832 4839760199680 5940069793792 6744699830272 9373999955968 11725499793408 13648899604480 15000500436992 17764699865088 20419700588544 22509999095808 24869999738880 29119999901696 33650599002112 38893999095808 40929998143488 45635998842880 52745998434304 58963399802880 66071499374592 77896236400640 88791796678656 101009502240768 172827571388416 215686731268096 216831500000000 251727000000000 281590800000000 305783500000000 329124600000000 364169300000000 433223400000000 541931500000000 716656200000000 857196800000000 985448800000000 1.093466E+15

Agriculture, value added (constant 2000 US$) NV.AGR.TOTL.KD 7200720850.13556 7324524846.33435 7534976748.74972 7262619611.03439 7629879516.39106 7691775289.10476 8009558817.18356 7927001736.4115 8805960455.74664 9024621898.77894 9495073797.3307 10072777636.6091 10229568706.5013 11182840601.8625 11599590829.361 11599590829.361 12148400910.5447 12301147969.8928 12936597490.7686 13797357166.5934 14751873143.031 15460547144.4834 15625971081.2195 15918400854.5223 16653323074.1666 17361295848.175 17810244766.5231 18192035220.1108 19083010427.9199 20569638507.0284 21152946189.4893 21193661207.9627 22451776793.7233 22928995935.5353 23056465936.8591 24065191575.8223 24820644619.4409 25069520598.3958 24735716413.7673 25270731040.2623 25746530861.1025 26584833911.5328 27501742715.4171 28543542050.2422 29348158616.9039 30145864526.6908 31157658311.8214 32238962381.0486 33795617527.0162 35133185851.688 36184377505.3926 37251979000.6793

Agriculture, value added (annual % growth) NV.AGR.TOTL.KD.ZG 1.7193278114 2.8732498944 -3.6145717073 5.0568517288 0.8112287039 4.1314718142 -1.0307319374 11.0881610546 2.4831072559 5.2129818161 6.0842480175 1.5565822611 9.3187887262 3.7266938011 0 4.7312882778 1.257342925 5.165774141 6.6536790407 6.9181073224 4.8039594334 1.06997466 1.871434241 4.6168093539 4.2512402531 2.5859182533 2.1436564101 4.8976114933 7.7903226261 2.8357702167 0.1924791852 5.9362824262 2.1255295124 0.5559336383 4.3750227885 3.1391939733 1.0026974834 -1.3315140324 2.1629235133 1.8828098803 3.2559844856 3.4489920341 3.7881211587 2.8189093184 2.7180782283 3.3563269822 3.470427907 4.8284902211 3.957815902 2.9920191643 2.9504486988

Agriculture, value added (constant LCU) NV.AGR.TOTL.KN 60642853650432 61685503098880 63457881751552 61164151111680 64257131544576 64778403840000 67454705336320 66759428145152 74161821057024 76003338616832 79965378838528 84830670815232 86151129989120 94179371778048 97689148588032 97689148588032 102311103823872 103597505249280 108949118386176 116198243041280 124236962201600 130205255467008 131598418706432 134061196574720 140250546438144 146212934123520 149993881075712 153209234522112 160712827600896 173232875372544 178145361657856 178488254398464 189083821277184 193102853701632 194176377421824 202671638183936 209033894035456 211129871630336 208318647762944 212824420777984 216831500000000 223891500000000 231613500000000 240387300000000 247163600000000 253881700000000 262402800000000 271509300000000 284619100000000 295883800000000 304736700000000 313727800000000

Agriculture, value added (% of GDP) NV.AGR.TOTL.ZS 51.4563106796 45.7661290323 56.2810478339 55.1388028772 52.7763009564 55.9912062057 50.809055508 51.410969789 48.6083745039 46.960037769 44.9424210056 42.7243446502 38.3629094967 38.2490108222 31.1268640075 30.177492156 29.6528496078 29.5755408694 28.0999886067 27.2938766107 23.9719095203 23.3628829434 23.944673606 22.8859298553 22.7175587736 23.2069494557 24.2202664549 23.3301739177 22.4833020121 21.6580970559 19.4104026292 18.2566920974 18.6780984703 17.879827462 17.28626174 17.1383538803 16.6723869932 16.0921214127 18.0828603782 19.6126699626 15.6019712328 15.2902652094 15.456451726 15.1853485203 14.3357798335 13.1266183575 12.9738027192 13.7166831035 14.4817402608 15.2901480534 15.3108660572 14.7226784225

Manufacturing, value added (current US$) NV.IND.MANF.CD 482360973.3713 701497181.56564 894953987.141104 994136950.531507 908123585.536978 1256298826.64096 1822756558.03374 2495783168.61687 3151951867.06506 4074554094.11084 5095301139.73976 6370998985.58756 6424582060.11141 10133176289.6837 11185892940.1209 11312479761.0724 10883905318.1531 12781352523.5817 13959732929.8284 13398358765.1415 12866381414.5236 17490895110.1996 20022484777.8491 23642696918.8477 27369354808.2949 30550957835.0855 35243317469.1456 41300843189.5666 48780906154.222 58244461019.5995 57805514905.4836 23857255361.7457 36393181440.3307 45785820936.1938 46615184727.2942 56190403265.5596 66329892801.8086 72083391952.8323 78349458987.1092 100393878671.179 116907767202.713 141920811741.003 142208857798.986 175544920850.858 205632519107.76

Manufacturing, value added (current LCU) NV.IND.MANF.CN 38000000 54000000 125000000 252000000 629000000 2091000064 30840000512 72152997888 207847997440 291754999808 362859986944 357273993216 521364013056 756443971584 1035750014976 1308060024832 1690939949056 2114549972992 2816300023808 4002900082688 6353400102912 7066799833088 7482300170240 9896299855872 13112900059136 15503399583744 17184199802880 21150400774144 29484401033216 35441000579072 43568999694336 53378998599680 62016001671168 73556331331584 89240796921856 109688750342144 136426003890176 168178202181632 238897002971136 285873895636992 385597900000000 478311400000000 523199600000000 568920300000000 644342600000000 760361300000000 919539300000000 1.0686539E+15 1.3764417E+15 1.4775415E+15 1.5957794E+15 1.8034863E+15

Manufacturing, value added (constant 2000 US$) NV.IND.MANF.KD 1311178656.74978 1470769407.09443 1488022440.99531 1462137536.3123 1440573173.80577 1427631219.49513 1453514381.07014 1505276221.94246 1634661151.9045 1871887442.11024 2048721265.73867 2113422321.75194 2432580664.00648 2803513546.92016 3256387446.43803 3657503489.33042 4011179852.12724 4563277434.98606 5331004947.06166 6212469259.62926 7624025661.71917 8223152796.26432 8321976062.7977 10329039413.1464 12607320406.6137 14018179067.4755 15320402257.895 16945609414.5832 18977921933.2282 21521650384.326 24169027024.8823 26561684788.4905 29176994218.3429 32078613618.3495 36044030909.286 39963824589.6404 44596443856.6561 46938352276.1207 41570245026.4092 43200351810.6507 45785820936.1938 47296891869.5467 49798027203.0119 52453892381.3802 55802058141.2257 58367906670.5102 61044171348.0377 63892062545.2666 66228838235.3316 67693861870.8153 70903683879.378 75310355665.1528

Manufacturing, value added (annual % growth) NV.IND.MANF.KD.ZG 12.1715488216 1.1730617878 -1.7395506929 -1.4748518502 -0.8983892346 1.8130145392 3.5611509282 8.5954277412 14.5122608395 9.4468192718 3.1581190226 15.1014938647 15.248533724 16.1537974381 12.3178230321 9.6698844944 13.7639697848 16.8240376136 16.5346744436 22.7213422409 7.858409207 1.2017685793 24.1176294573 22.0570461815 11.1907892824 9.2895317156 10.6081232681 11.9931509627 13.4036195325 12.3009926901 9.8996859127 9.8461729769 9.9448880111 12.36156069 10.8750147569 11.5920318302 5.2513344494 -11.4365055214 3.9213307095 5.984833496 3.3003032434 5.2881600346 5.3332738816 6.383064455 4.5981252569 4.5851647424 4.6652958576 3.6573802707 2.2120630144 4.7416736464 6.2150110469

Manufacturing, value added (constant LCU) NV.IND.MANF.KN 11042452144128 12386489597952 12531790774272 12313793921024 12132183703552 12023189471232 12241171644416 12677098242048 13766749061120 15764615593984 17253870338048 17798768099328 20486647971840 23610561396736 27424563658752 30802672877568 33781255766016 38430897602560 44896526270464 52320020725760 64207831695360 69253545852928 70085813207040 86988849938432 106176020742144 118057955491840 129024986710016 142712116346880 159827795902464 181250505572352 203546117013504 223696543285248 245722091880448 270158878736384 303554732490752 336566354444288 375581233381376 395304260075520 350095266545664 363823659745280 385597900000000 398323800000000 419387800000000 441754900000000 469952400000000 491561400000000 514100300000000 538084600000000 557764400000000 570102500000000 597134900000000 634246900000000

Manufacturing, value added (% of GDP) NV.IND.MANF.ZS 9.2233009709 10.8870967742 8.8715396964 7.4424096419 8.3554729012 8.357314319 9.2515372748 8.065103614 9.3941748457 10.1711366716 10.2947469757 9.2203544509 10.8254172572 10.6152077757 9.1663348736 9.8045180865 10.3602628925 10.5283205952 11.7333610944 11.6550737631 12.9890525007 12.0962731113 11.9436838892 12.7492176084 14.5885135041 15.9834129268 16.7352594455 16.9451418323 19.6996996408 19.7352971704 20.6619072704 21.3542809758 21.9607367446 22.3049301319 23.3480364164 24.1331893158 25.6166359717 26.7929649036 24.9956712045 25.9948784661 27.7454490848 29.0533322157 28.7183010258 28.2528424057 28.065825681 27.4075068902 27.5375740802 27.0484127488 27.8142729854 26.3554743673 24.7935404155 24.2825555017

Industry, value added (current US$) NV.IND.TOTL.CD 761517044.092417 1188111745.98748 1577757664.58896 1804520495.69315 2047770689.66265 2928554275.16145 4556530039.05542 9306771001.98554 10760939722.3325 13398602053.706 16577855428.7807 19404366566.4737 20774403726.6889 32543900683.2574 38109882225.7458 35899883107.4769 33999955779.2856 34272473768.5174 31309946417.2066 27014719404.5552 27527573488.8681 33087620734.1035 38903200783.9212 44761531613.1549 51782272683.6512 55151433993.8052 62697845958.7885 71892581753.5874 84492896438.9454 98804892528.9185 95639212934.1565 43168320269.2947 60704690922.7888 75786549794.5361 74535377587.1767 86996428776.6947 102711934076.164 114620174270.013 133046275218.22 171142379024.09 202273722787.441 245227330373.474 257121301951.696 332649235643.332 399292414285.877

Industry, value added (current LCU) NV.IND.TOTL.CN 62000004 81000000 167000000 430000032 1321000064 3150000064 39799000832 113909998336 352027996160 514348998656 658649980928 805633972224 1215350024192 1890959966208 3862309965824 4465789984768 5560419852288 6879810002944 8577700003840 12943699935232 20404699971584 24076299567104 23744900071424 30914800123904 35161499729920 34772198916096 34648000102400 45251201007616 55775800655872 68861001859072 82487000694784 100991999279104 111953001316352 130856680423424 155341896024064 189990735183872 231430704594944 278250802118656 432270274985984 476844446973952 638257300000000 764796300000000 810040400000000 880973900000000 1.0245725E+15 1.2911798E+15 1.5675472E+15 1.8489841E+15 2.3783765E+15 2.6714749E+15 3.0239257E+15 3.5019675E+15

Industry, value added (constant 2000 US$) NV.IND.TOTL.KD 4138656825.88305 4386598996.98446 4489860216.46843 4291635469.57879 4412945825.28565 4524157609.34185 4517570653.25112 4741130727.77506 5981376468.42059 7172853533.63348 8283499693.01839 8649353657.27085 10465838528.4496 12633738951.3581 13713021617.6375 14066486068.3054 15790275444.5931 17949233225.4658 18898786822.4622 19983739071.9971 22012443855.1271 23344730180.0892 21999967186.1429 25452432617.4693 28198186288.9127 28726529294.0716 30754753975.4572 32696518508.2587 34943374750.8254 40582837100.1716 44750992791.6383 49182399624.6641 57912239052.3803 57081623192.0966 63456509776.1891 70068741928.8772 77558719597.7372 81569629019.1101 70189544293.1118 71570946421.0126 75786549794.5361 77858511962.9198 81177396485.9046 84225672984.5367 87545068088.6996 91663154643.0628 95777500893.4475 100298198517.654 104047502973.713 107781026909.177 113021584624.493 119029177756.973

Industry, value added (annual % growth) NV.IND.TOTL.KD.ZG 5.9908850029 2.3540154811 -4.4149425 2.8266696127 2.5201257495 -0.1455951949 4.9486790951 26.1592816536 19.9197805305 15.4840211664 4.4166593567 21.0013943603 20.7140633502 8.5428602762 2.5775825381 12.2545841791 13.6727050041 5.2902181674 5.7408565943 10.151777782 6.0524235007 -5.7604563581 15.6930480946 10.7877848562 1.8736772633 7.0604585073 6.3137053034 6.8718516377 16.1388600545 10.2707350922 9.9023654149 17.7499257749 -1.4342665279 11.168019106 10.4201005949 10.6894707435 5.1714487322 -13.9513748718 1.9681024315 5.8901042732 2.7339444453 4.2627125016 3.7550803926 3.9410728185 4.7039617928 4.4885496974 4.7199995636 3.7381573263 3.5882878769 4.8622265584 5.3154387743

Industry, value added (constant LCU) NV.IND.TOTL.KN 34854838206464 36942951481344 37812594278400 36143189983232 37164838551552 38101439217664 38045965352960 39928738086912 50373809143808 60408161370112 69761773862912 72842913775616 88140941361152 106398511792128 115487987990528 118464786202624 132982153150464 151164410658816 159161337774080 168298561929216 185383857946624 196604074131456 185278782242816 214354670649344 237478791348224 241928377466880 259009630175232 275362734931968 294285253541888 341779538771968 376882809798656 414203122810880 487723869667328 480728609456128 534416472408064 590103206428672 653182116036608 686961094295552 591120576806912 602754435252224 638257300000000 655706900000000 683657800000000 709329700000000 737284900000000 771966500000000 806616600000000 844688900000000 876264700000000 907707600000000 951842400000000 1.002437E+15

Industry, value added (% of GDP) NV.IND.TOTL.ZS 15.0485446602 16.3306451613 11.8523770344 12.6993507308 17.5478223167 12.5899281845 11.9391029048 12.7326094015 15.9107260461 17.9311887224 18.6866426257 20.7914119769 25.2350963932 26.5359150062 34.1812464594 33.4731723658 34.0682775248 34.2544968291 35.7366937662 37.6876200744 41.7158867533 41.2115104365 37.9029942638 39.8269575337 39.1182737092 35.8488092014 33.7428147737 36.2540656957 37.2660281926 38.3452022498 39.118152157 40.4018731241 39.6441293121 39.6804606932 40.6420423221 41.8008443541 43.4556165484 44.3289551135 45.2282177283 43.3600746186 45.9253938368 46.4548429773 44.4629239973 43.7495669608 44.627614537 46.5410578694 46.9435587411 46.7991415207 48.060744769 47.6521222921 46.9825741932 47.1512981185

Chemicals (% of value added in manufacturing) NV.MNF.CHEM.ZS.UN 8.9482742357 11.1961664136 9.2178241736 8.8291039231 9.0596208119 8.4813501108 9.4307092489 13.4805179501 11.392867279 10.5325953975 10.9541382 8.8849536781 11.7260799816 9.4849294626 10.9463498291 11.3235342336 6.4853290487

Food, beverages and tobacco (% of value added in manufacturing) NV.MNF.FBTO.ZS.UN 27.4790062856 25.9730896438 25.0948206761 23.3266399671 20.2324150453 19.0010613704 16.180186437 21.3191494018 19.6876836216 18.0031023121 20.917740539 19.4532948077 25.0280972895 24.7774198767 24.9601149527 25.5356225702 25.64041344

Machinery and transport equipment (% of value added in manufacturing) NV.MNF.MTRN.ZS.UN 8.8368586672 8.4237563156 9.2106034383 10.4614413912 12.6778610348 12.9576424921 12.4504532385 14.3742280624 14.0190608003 20.2294526092 18.7422682528 17.2934337895 17.4389969812 18.5579847756 20.0773146915 17.9489320646 17.8015281068

Other manufacturing (% of value added in manufacturing) NV.MNF.OTHR.ZS.UN 40.1250902397 39.4295098328 39.8812695527 37.1845316589 36.6912160278 40.7235679504 43.8914238705 33.2801871348 35.322213579 34.5077112044 36.8041781644 39.9945503046 32.2436413824 34.4978850219 32.4825825414 32.1114987509 38.4142173078

Textiles and clothing (% of value added in manufacturing) NV.MNF.TXTL.ZS.UN 14.6107705718 14.9774777942 16.5954821593 20.1982830596 21.3388870802 18.8363780763 18.0472272052 17.5459174508 19.5781747202 16.7271384769 12.5816748437 14.3737674201 13.5631843653 12.6817808633 11.5336379854 13.0804123806 11.6585120967

Services, etc., value added (current US$) NV.SRV.TETC.CD 2144515293.42693 2649487727.49559 3089206039.55828 3512246765.76438 3593376163.99039 4224482197.8988 6046844182.8241 9445807422.30361 11685567288.1349 14267999905.6193 17504866846.8434 19636015466.0184 19303116629.1124 26768050189.0983 32759432541.3 36136043876.0596 31831710439.724 33436558061.116 35760239491.9329 33655033608.1785 30687532358.1636 35737613077.5206 40578731797.1164 47454322446.7945 52986490063.482 57980562150.1036 67057651783.6736 74421526746.9462 82997033311.0117 90656827307.9506 85391074076.3676 35017942562.8797 51838658390.0385 63487931605.8701 61378806236.9196 78421994365.819 96409508640.7991 105397138912.808 115297453357.516 146129486157.581 170657214746.745 191124928311.341 199956082495.183 266972563654.465 322863474846.549

Services, etc., value added (current LCU) NV.SRV.TETC.CN 137999996 188000000 449000064 1089000160 2234000000 7861000256 124179017984 320783015168 785021997056 1007081168896 1281970069504 1413706098688 1753160112128 2509440335872 3920010080256 4849510424576 5921219960832 7264519741440 8680100397056 12026999799808 16783299526656 20696099422208 23901101522944 28943301345280 34303900418048 39714605203456 43164601876480 50445699317760 60242892619776 71826792382464 87449302728704 103340608454656 117695905267712 139956031586304 160806313918464 186627137208320 212345491030016 248435073089536 350655655968768 407200432390142 534681100000000 629798700000000 730202200000000 826917160000000 942129174000000 1.11893205971E+15 1.33844620000001E+15 1.5599776E+15 1.85365569721607E+15 2.07753169976E+15 2.42689629173E+15 2.83165258191E+15

Services, etc., value added (constant 2000 US$) NV.SRV.TETC.KD 6613882128.91133 7291745451.50754 7372869697.50922 7411342581.07255 7591510721.27646 7616765865.94308 7856906383.69796 7964587128.99088 8383900223.27015 8779797898.86187 9285263358.65681 10221369126.5014 10640481016.3152 10675022444.3077 12046427100.8214 13987397772.4397 14163959671.2212 15580910245.5037 18175554383.0508 19758541472.0212 21477447157.7429 24161775695.6307 25909477525.3994 27693326434.6376 29252338318.2392 30552931951.7005 32691229420.5766 34717432096.6902 37042534962.9772 38393278311.4326 42684973544.714 48002711945.8552 46981688929.0157 56211866090.8419 60197511402.9927 65027127770.84 69150819267.5555 73011881165.2192 60993030032.8495 60364447361.4051 63487931605.8701 66590151599.6595 70049968401.7598 74503803639.607 79801261471.3207 86082442997.3545 92392312061.2048 100706687208.035 109427318736.84 115802063741.292 125538715290 136203723240.697

Services, etc., value added (annual % growth) NV.SRV.TETC.KD.ZG 10.2490989314 1.1125490672 0.521816947 2.4309784392 0.3326761378 3.1527884929 1.3705234609 5.2647185283 4.7221181675 5.7571423126 10.0816286161 4.1003498125 0.3246228055 12.8468550176 16.1124178594 1.2622926841 10.0039156223 16.6527121758 8.7094294656 8.6995575466 12.4983594101 7.2333335587 6.8849281406 5.6295580355 4.4461185267 6.9986653728 6.1980008462 6.697220174 3.6464657449 11.1782463547 12.4581040107 -2.1270111114 19.6463289682 7.0903985036 8.0229502105 6.3414941396 5.5835374599 -16.4615004306 -1.0305811518 5.1743772717 4.8863144779 5.1956884299 6.3580831504 7.110318632 7.87103037 7.3300301945 8.9989902421 8.6594363995 5.8255516795 8.4080121149 8.4953935733

Services, etc., value added (constant LCU) NV.SRV.TETC.KN 55700629749760 61409442398208 62092652576768 62416662560768 63933998170112 64146691325952 66169100828672 67075963879424 70607324577792 73941485879296 78198402449408 86082074968064 89611741167616 89902641315840 101452303302656 117798722338816 119285686992896 131218926469120 153070436614144 166401998323712 180878235926528 203485047947264 218203800207360 233226975051776 246356622966784 257309930422272 275318191423488 292382415257600 311963909357568 323339566448640 359483259748352 404268058148864 395669231632384 473403710504960 506969920110592 547643864383488 582372667949056 614889664020480 513669599330304 508375817256960 534681100000000 560807300000000 589945100000000 627454300000000 672068300000000 724967000000000 778107300000000 848129100000000 921572300000000 975258970600000 1.057258863E+15 1.1470771645E+15

Services, etc., value added (% of GDP) NV.SRV.TETC.ZS 33.4951446602 37.9032258065 31.8665751317 32.161846392 29.6758767269 31.4188656098 37.2518415872 35.8564208096 35.48089945 35.1087735086 36.3709363687 36.4842433729 36.40199411 35.2150741717 34.691889533 36.3493354782 36.2788728675 36.1699623015 36.1633176272 35.018503315 34.3122037264 35.4256066201 38.1523321302 37.2871126109 38.1641675172 40.944241343 42.0369187714 40.4157603866 40.2506697954 39.9967006942 41.4714452138 41.3414347785 41.6777722176 42.4397118448 42.0716959379 41.0608017656 39.8719964584 39.5789234739 36.6889218935 37.0272554188 38.4726349304 38.2548918134 40.0806242766 41.0650845189 41.0366056295 40.3323237731 40.0826385397 39.4841753758 37.4575149702 37.0577296544 37.7065597496 38.126023459

Adjusted savings: education expenditure (current US$) NY.ADJ.AEDU.CD 649800292.096443 606810970.163234 683934514.333819 695362355.534367 763385651.857844 737441360.815964 1005100339.67974 1196709616.01104 1276085777.29276 2118829692.92594 1032368781.52666 2881216745.40694 3348574761.78147 3194744547.70687 3840005644.45272 5028892249.32544 5458929938.86484 6058319870.68176 7775406983.00464 13714154867.8821 18791798674.0778 19874691801.1963 29718447910.8667

Adjusted savings: education expenditure (% of GNI) NY.ADJ.AEDU.GN.ZS 0.7673440602 0.6262634426 0.6262634426 0.6262634426 0.6262634426 0.485182825 0.5838543137 0.6099815351 0.5766930171 1.0116644423 1.1462677262 2.2276688631 2.2276688631 2.2276688631 2.2276688631 2.2276688631 2.2276688631 2.2276688631 2.2276688631 3.30907 3.818605 3.818605 4.32814

Adjusted savings: carbon dioxide damage (current US$) NY.ADJ.DCO2.CD 58274717.5987628 66594273.6472456 77221316.4791905 92402602.7697303 105153803.073177 121163169.444573 146746704.781469 208182797.614885 253870800.770658 278394128.126628 302781606.693485 349932135.356831 390738506.090784 404450291.651786 448534992.668894 499444159.698873 512567556.070336 534516802.305195 592262066.114867 609071105.353798 722412161.927068 898877793.89985 1037160732.60487 1143934271.07071 1183062643.41373 1226951530.90909 1407883429.10268 1576237032.47656 1202502870.85849 1379138076.72292 1530717619.2631 1752967639.47771 1870345277.41245 1963334179.06201 2160478399.67399 2249836576.37006 2335702890.81387 2621213743.41748 2950336568.87253 3027050108.59129 3242291216.3605

Adjusted savings: carbon dioxide damage (% of GNI) NY.ADJ.DCO2.GN.ZS 0.6009026772 0.6756493716 0.6738703505 0.5476432977 0.3972872858 0.3866770915 0.3777486439 0.4374739629 0.4767276205 0.5278595922 0.4047541628 0.3913048195 0.4335508246 0.4939762183 0.5436790835 0.6033641601 0.6743933617 0.7433717716 0.6993976212 0.6285960307 0.6614965585 0.8095553307 0.850862011 0.7526256198 0.6872311156 0.6253963102 0.6362554593 0.7525960976 1.3351723301 1.0663074745 1.0183233827 1.2223297889 1.0850270347 0.8697061304 0.8816435665 0.827274062 0.6691833128 0.632469142 0.5995258979 0.5815993926 0.4722013191

Adjusted savings: net forest depletion (current US$) NY.ADJ.DFOR.CD 0 0 11148733.7396592 74891696.2234799 54380318.33185 0 54619896.1307117 24052331.7683693 56737939.3630667 24440575.3814219 37333107.2761429 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Adjusted savings: net forest depletion (% of GNI) NY.ADJ.DFOR.GN.ZS 0 0 0.0972892131 0.4438612578 0.2054572297 0 0.1406000341 0.0505434119 0.1065445208 0.0463414665 0.049906369 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Adjusted savings: consumption of fixed capital (current US$) NY.ADJ.DKAP.CD 600000000 607493243.461802 718072289.156626 1057831325.3012 1677108433.73494 1978313253.01205 2424096385.54217 2978313253.01205 3354824207.56123 3352807126.4173 4724158353.61706 5559072979.79008 5860119289.02743 4268306049.2239 4380373371.40817 4367087640.61393 4002931453.85264 3796575169.6869 4214866349.76805 5072709231.76104 5721153925.13397 6408179347.07604 6955938999.72369 7900435642.0263 8844614138.60928 10106732639.4265 11368312959.4444 10787522174.5399 4772309845.02911 7000121026.79205 7509817950.07316 7151746959.91571 18943117467.2453 23148345620.9241 25533079176.0873 25973590805.9034 34280454041.1295 41582817229.2163 50174136344.4154 53369243249.0059 72425255256.2142

Adjusted savings: consumption of fixed capital (% of GNI) NY.ADJ.DKAP.GN.ZS 6.1869301336 6.1634793158 6.2662441828 6.269457981 6.3363743224 6.3135391579 6.2399978504 6.2586078986 6.299808236 6.3572152698 6.3151879674 6.2163254783 6.502199068 5.2131046125 5.3095464546 5.275753285 5.2667211727 5.2800338503 4.9773025612 5.2353245129 5.2387318927 5.7713916014 5.706487008 5.1979125216 5.1377617878 5.1515590813 5.1376065905 5.1506511547 5.2988281442 5.4122799592 4.995972557 4.9868538099 10.9893049279 10.2541168542 10.419486254 9.5505950059 9.821415168 10.0334620933 10.1956822356 10.254048775 10.5478807381

Adjusted savings: mineral depletion (current US$) NY.ADJ.DMIN.CD 15708461.2264574 19128561.9477288 21677503.0571889 60621385.0055586 130704739.869086 72760971.1658468 87100089.4590409 127624272.389722 143596309.575732 225879937.794884 263124011.493756 188356045.64901 130925941.384043 137427540.676678 142344537.451968 137695608.309465 95533821.6299987 140956476.616045 542392080.840178 615404640.982911 478494039.364984 498966240.916631 592926610.261079 487663663.23472 651710301.362069 1106460550.35572 1102964164.75279 991972562.396844 976177922.537444 980580035.053054 1639960176.27371 1392019232.85446 1623568051.39699 2004094084.58548 2551229133.76435 3911501551.55103 6163203961.37432 9970335868.84403 5528463544.4553 6288688527.34592 8916533971.68482

Adjusted savings: mineral depletion (% of GNI) NY.ADJ.DMIN.GN.ZS 0.1619785869 0.1940737567 0.1891683184 0.359285282 0.4938226658 0.2322075333 0.2242090596 0.2681888073 0.2696502582 0.4282880988 0.3517404513 0.2106254927 0.1452711954 0.1678474172 0.1725389299 0.1663461139 0.1256953827 0.1960332496 0.6405065473 0.6351325998 0.4381462232 0.4493834233 0.4864228968 0.3208472515 0.3785730198 0.5639801803 0.4984553101 0.473630973 1.0838774551 0.7581545593 1.0909979562 0.9706434601 0.9418663226 0.8877617116 1.0411003196 1.4382750334 1.7657696365 2.4057289444 1.1234165978 1.208271187 1.2985875797

Adjusted savings: energy depletion (current US$) NY.ADJ.DNGY.CD 0 291511325.057733 384377151.345973 770685093.333889 3316631750.88543 2944160084.29005 3787253094.37789 4875475270.78305 4938066059.11899 11864550392.4441 14051020238.1482 13656240527.0406 9598860558.26635 8826145788.74555 10074403989.0311 8104233567.5885 4204987468.42609 4832726758.85976 3470145136.45418 5124091566.38897 7949474753.24026 7288518135.36745 6534612690.74584 6354596256.36699 6243867798.63865 6921501445.39346 9318733804.71859 8543401130.36233 4642672041.72693 5551622039.57236 12438372499.198 10720098236.6468 8846010353.86391 12142960161.1957 17307944316.6915 24928848095.4046 26827086808.1983 30077281777.7814 52702048833.9092 24803810854.9076 36394423639.5978

Adjusted savings: energy depletion (% of GNI) NY.ADJ.DNGY.GN.ZS 0 2.9576033012 3.3542599053 4.5676259472 12.5307462776 9.3959184426 9.7489733943 10.245291696 9.2728761046 22.4962242324 18.7832048156 15.2708259515 10.6505856106 10.7798318095 12.2114056147 9.790492059 5.5325695147 6.72104719 4.0978671308 5.2883540053 7.2791551259 6.5642501676 5.3608409194 4.1808625432 3.6270101648 3.5279971183 4.2113538201 4.0791646298 5.1548876912 4.2923447453 8.2747368941 7.4750355449 5.1317585578 5.3790164744 7.0629901959 9.166438861 7.6860113047 7.2573069045 10.7093690539 4.7656565997 5.3004168052

Adjusted savings: particulate emission damage (current US$) NY.ADJ.DPEM.CD 458549512.606183 505300425.65485 576509174.29182 769946571.837286 875008925.647036 1046781367.30957 1214645031.44229 1197395612.11151 532026983.005812 778212943.078216 943898107.412063 949170004.278075 1197189826.20041 1754382957.48565 1988918819.94012 2188135215.16231 2737485145.65398 3159916723.53364 3859309268.74468 4038435704.22337 5327731513.80416

Adjusted savings: particulate emission damage (% of GNI) NY.ADJ.DPEM.GN.ZS 0.4198834689 0.4550881732 0.4729544226 0.5065688916 0.5082853081 0.533560771 0.5489265066 0.5717130396 0.5907243332 0.6016904993 0.6279365322 0.6618483678 0.6945152549 0.7771461576 0.8116338872 0.8045862205 0.7842946916 0.7624520602 0.7842345443 0.7759210018 0.7759210018

Adjusted savings: natural resources depletion (% of GNI) NY.ADJ.DRES.GN.ZS 0.1619785869 3.1516770579 3.6407174368 5.370772487 13.2300261731 9.6281259759 10.113782488 10.5640239152 9.6490708836 22.9708537976 19.1848516358 15.4814514442 10.795856806 10.9476792267 12.3839445447 9.9568381728 5.6582648974 6.9170804396 4.7383736781 5.9234866051 7.7173013491 7.0136335909 5.8472638162 4.5017097947 4.0055831845 4.0919772986 4.7098091303 4.5527956028 6.2387651463 5.0504993046 9.3657348504 8.445679005 6.0736248804 6.266778186 8.1040905155 10.6047138944 9.4517809412 9.6630358489 11.8327856517 5.9739277867 6.5990043849

Adjusted savings: gross savings (% of GNI) NY.ADJ.ICTR.GN.ZS 29.6644519185 25.5349238941 26.9477013199 26.2286509346 25.9409644516 25.0740513185 28.2659640621 28.5104388815 32.754538378 29.4098333301 23.1841891481 24.4719673032 30.1455779724 30.6947064352 28.9910109782 28.5738289567 29.9054611853 23.7624230856 14.2902616295 27.3949472332 23.6516365907 18.9437887589 31.0838653231 25.7654120546 27.3703732798 29.1268556054 27.1472114459 27.3404442218 32.2834161445 32.884429333

Adjusted savings: net national savings (current US$) NY.ADJ.NNAT.CD 20968954501.4601 17153279484.2261 17795520615.5345 17258251528.8462 17105953103.1815 15054410943.2334 16527888716.079 19928269009.4712 26664435009.1218 26396959167.8466 19334042345.3594 22874236995.5256 37918572983.9796 43996067412.6002 46770106445.5072 51858838498.644 51846466419.1745 16628958991.6761 11482581580.0392 33669564868.1373 26767538933.1605 13711760897.6929 47022500680.4449 37605379857.1658 48462282072.6687 67383289713.3255 70926456373.2347 84371364820.5727 114656238874.006 153370167306.45

Adjusted savings: net national savings (% of GNI) NY.ADJ.NNAT.GN.ZS 23.4481264402 19.0327248261 21.7345967073 20.91910448 20.6652111667 19.8073301458 22.9859302119 23.5331363203 27.5192138652 24.1711014374 17.4127975467 18.7654802952 24.9476654508 25.5569446474 23.8394518969 23.4362223662 24.7548100305 18.4635949414 8.8779816703 22.3989746762 18.6647827808 7.9544838311 20.8297484689 15.3459258006 17.8197782739 19.3054404374 17.1137493525 17.1447619863 22.0293673696 22.3365485949

Adjusted net national income (current US$) NY.ADJ.NNTY.CD 9082154405.1845 8938203077.27952 10324097245.4572 14908742094.0058 21289125487.357 26339223331.6285 32494642403.0974 39582006419.5745 44759574329.4948 37272507475.9137 55730662661.4105 70023323921.5508 74535284592.3591 68644590910.3989 67902831890.2189 70167553745.6467 67700788274.0573 63134113372.4214 76454335144.8995 86081678011.7061 95059633185.3398 96837857992.8399 107811813670.11 137249774670.603 156408975119.524 178053148305.565 199486428969.685 189117072992.068 79672335650.0783 115805425122.342 128729287358.995 124148139061.552 142965062243.672 188451448448.173 199658976903.334 217143888246.545 281767081763.18 332810929854.494 383706964656.395 436008214360.793 568897027066.209

Adjusted net national income (constant 2000 US$) NY.ADJ.NNTY.KD 16745104375.8318 17188207470.7317 17030643762.0442 18241580150.9346 21132575352.5328 24210277998.7055 24773129212.4713 26688476619.5431 31155443281.05 30346948846.0626 38248301184.7184 50614391431.7691 53373500552.2939 56459307678.3455 58383254652.7425 64296647787.241 67490021521.6975 68722471510.3903 72063837967.6458 78759035077.5609 87560558053.6552 85709000637.5248 93669677190.9197 112109725841.697 123880776498.941 136057990839.991 146565745508.654 157482978474.235 134051035327.073 129350361548.49 128729287358.995 131036082735.401 126042600529.13 144677062961.738 147091741305.81 150261870163.527 162364016984.837 169551146566.492 169978859035.236 193006544240.542 201100384788.784

Adjusted net national income (annual % growth) NY.ADJ.NNTY.KD.ZG 2.6461650221 -0.9166965721 7.1103383161 15.8483814323 14.5637840861 2.3248440757 7.7315521614 16.7374358799 -2.5950342856 26.0367273782 32.3310836404 5.4512344068 5.7815340836 3.4076701495 10.1285773972 4.9666255464 1.8261217894 4.8621162537 9.2906474297 11.1752549627 -2.1146021191 9.2880286716 19.6862519481 10.4995802718 9.8297852865 7.7229970866 7.4486933681 -14.8790322447 -3.506629969 -0.4801487851 1.7919740129 -3.8107688371 14.7842573498 1.6690125543 2.1552052002 8.0540371341 4.4265531952 0.2522616198 13.5473819133 4.1935575709

Adjusted net savings, including particulate emission damage (current US$) NY.ADJ.SVNG.CD 17471963215.042 10837742105.0549 14896413439.4798 29899873582.2859 36047518083.2185 37665121167.5504 40090697845.9204 41656289774.7532 10307947955.0741 5674245231.01954 20465191227.7719 15148028367.6104 4014653033.27187 34186621547.4416 19055739125.9607 21242280504.8625 37095217890.2896 38112470582.3292 37943878843.1901 96372945480.1343 129207634875.869

Adjusted net savings, including particulate emission damage (% of GNI) NY.ADJ.SVNG.GN.ZS 15.9986835035 9.7607838944 12.220663488 19.6719439697 20.9396993528 19.1984990522 18.1179242871 19.8893697328 11.445200858 4.3871532549 13.6146487741 10.5625944822 2.3289855241 15.143786858 7.7762266945 7.8108729601 10.6278503549 9.3430798174 7.7551344348 18.5165241885 18.8175618891

Adjusted net savings, excluding particulate emission damage (current US$) NY.ADJ.SVNX.CD 15973270018.1584 20922678666.5593 17930512727.6481 11343042530.7098 15472922613.7717 30669820154.1231 36922527008.8655 38711902534.86 41305342877.3627 42853685386.8647 10839974938.0799 6452458174.09776 21409089335.184 16097198371.8884 5211842859.47228 35941004504.9273 21044657945.9008 23430415720.0248 39832703035.9436 41971779851.0739 41982314547.4134 100411381184.358 134535366389.673

Adjusted net savings, excluding particulate emission damage (% of GNI) NY.ADJ.SVNX.GN.ZS 18.8627090812 21.593394672 16.4185669724 10.2158720676 12.6936179106 20.1785128614 21.4479846609 19.7320598232 18.6668507936 20.4610827724 12.0359251912 4.9888437542 14.2425853063 11.22444285 3.023500779 15.9209330156 8.5878605818 8.6154591806 11.4121450466 10.1273143617 8.5310554366 19.2924451902 19.5934828909

Exports as a capacity to import (constant LCU) NY.EXP.CAPM.KN 24845279833712.7 21979566540635.3 29539716884035.4 21834218356344.7 23023905231652 19393934999574.8 11656530007081.1 13475695026306.8 19336206886640.3 20424419375883 30437897436401.1 41599869936344.4 55001348773389 76684361546606.7 130673971256522 114425838632439 133318707381632 158149813061715 160042190602086 207216294355618 283787079972126 271417976229546 239476915501942 209461850237111 237459598960157 234180415716592 213741407919900 244861661571924 210025430313914 235817222124710 273201036301519 317091289630669 359843333850443 377587964465537 421749341137761 464463599933572 509374061192263 592407941704227 694443893814987 435213637034034 569490300000000 559591651806393 523004318288474 564898386494253 635318240821072 728355874898727 841329110389648 878156882636817 863923846273033 801640529285624 892258352977092 995611441380290

Coal rents (% of GDP) NY.GDP.COAL.RT.ZS 0 0.0016530071 0.0008477605 0 0.004142363 0.0083826972 0.0067157255 0.0067886564 0.0071893106 0.0057626122 0.0068745196 0.0117533889 0.0152054137 0.0106287788 0.021138569 0.0398287573 0.0380665536 0.0164436644 0.0333639193 0.0858334618 0.0915946163 0.106142638 0.140441237 0.065557065 0.0581163623 0.1110894968 0.106030425 0.1257551957 0.161739574 0.0462519227 0.0745379639 0.69394096 0.3204795464 0.2528946639 1.664392782 1.4027705566 1.5553332805 2.2413330617 4.7599984778 2.4195273712 3.3665201969

Inflation, GDP deflator (annual %) NY.GDP.DEFL.KD.ZG 13.4616140026 178.7494266202 145.8513982752 114.9096870253 229.2410191955 1195.4094456348 165.3905375177 120.7456949328 20.6269971589 13.616039416 2.744197695 15.2101708039 34.7856975789 46.472290005 11.1950480317 15.4246828919 13.272847313 9.4341552967 33.6114534255 30.9904391736 10.4391901721 6.0613047865 14.2518651694 8.0479288077 4.2854263957 -0.0968958838 15.4378274403 12.7453472786 9.9931654086 7.7239105364 8.8277302356 5.3643161967 8.8801054815 7.7763777301 9.7032768606 8.8535912912 12.571308928 75.2712840493 14.1611925581 20.4474593035 14.2957154363 5.8960516932 5.4874270425 8.550732687 14.3317858598 14.0874219613 11.2585785122 18.1497524726 8.274750092 8.1085199788 8.3951915743

GDP deflator (base year varies by country) NY.GDP.DEFL.ZS 0.000265169 0.000300865 0.0008386594 0.0020618558 0.0044311279 0.0145890907 0.1889884585 0.501557486 1.1071665579 1.3355417723 1.5173896665 1.5590298387 1.7961609401 2.4209680527 3.5460473471 3.9430290508 4.5512287783 5.1553064249 5.641666039 7.5379119921 9.873944023 10.9047038171 11.5656711515 13.2139950099 14.277447921 14.8892974428 14.8748703265 17.1712271394 19.3597596703 21.2944124769 22.9391738459 24.9641822313 26.3033399021 28.6391042305 30.866189154 33.861220944 36.8591550526 41.4928333025 72.7250217177 83.023752081 100 114.2957154363 121.0346499015 127.676338011 138.5936003788 158.4565384005 180.7789795903 201.132122941 237.6371053976 257.3009819952 278.1642835259 301.5167080193

Discrepancy in expenditure estimate of GDP (current LCU) NY.GDP.DISC.CN -5981264 -5126800 -7903808 -33217136 -99758816 -46000128 -1481748480 -2735480832 -8379285504 -9015328768 -15765995520 -19376537600 -28012937216 -49855528960 -111957508096 -106515660800 -133135859712 -165932826624 -182882664448 274132172800 -434081366016 1149992304640 -674590359552 -101187584 -576998604800 85800779776 -1313998635008 1459595771904 -14680064 3601792499712 4382709514240 5266706792448 5828606164992 11534336 11534336 22020096 3670016 -35651584 -8388608 -25165826 -13144500000000 -13986300000000 -46995000000000 -185355200000000 -87673255000000 -47162978639999.5 -70415688129570 -33646994000000 103108548952660 -116790942440001 6296120430000 167536361110001

Discrepancy in expenditure estimate of GDP (constant LCU) NY.GDP.DISC.KN -129031159808 -128351379456 -140504055808 -156029485056 -163119235072 -163412000768 -169853124608 -167023427584 -176174219264 -209095294976 -230246531072 -235647631360 -241618075648 -277049081856 -293004640256 -302349549568 -422095028224 -433357914112 -472694620160 -501109030912 -534268084224 -543535169536 -551025246208 -6257031774208 -547845406720 -3490413805568 -3957952610304 -1357766459392 -798846681088 -861375889408 965208506368 -1064045576192 -1147259060224 -1077422522368 0 -13144499999999.8 -11767199999999.8 9546600000000.13 -26895750000000 8757217000000 -8535387620000.25 16237878890120.6 54186838950790 27039831135930 2205256500000 1628388700000 -11475918270000.3

Gross value added at factor cost (current US$) NY.GDP.FCST.CD

Gross value added at factor cost (current LCU) NY.GDP.FCST.CN

Gross value added at factor cost (constant 2000 US$) NY.GDP.FCST.KD

Gross value added at factor cost (constant LCU) NY.GDP.FCST.KN 724776268070912 783092461600768 858768912941056 938475318673408 1.00283298768486E+15 1.07524969306522E+15 1.15822866255053E+15 1.25798169391923E+15 1.36328905752576E+15 1.41839321949798E+15 1.30471925959885E+15 1.30003237653709E+15

Forest rents (% of GDP) NY.GDP.FRST.RT.ZS 11.7674050334 12.24720849 11.3593304034 9.7453947343 7.3756274895 5.9959108768 5.2749637799 4.5878929375 4.652705271 5.5769302042 4.6753110296 3.3933271406 3.0932119053 3.3204345084 2.9848874494 2.7043909426 3.0976018246 4.0927777321 3.7359043993 3.3123003311 3.0578826029 2.7638484845 2.6632304319 2.9458383914 2.5043118196 2.1840330195 1.9516806528 1.8836225405 3.6414585332 2.5536196705 2.156036673 1.8425759063 1.6899107165 1.3940010188 1.438941911 1.3438330889 1.0346239576 0.9043080159 0.9706427986 0.7179338358 0.6531600752

Mineral rents (% of GDP) NY.GDP.MINR.RT.ZS 0.2603180354 0.3108036683 0.2989249048 0.5648047674 0.7522982784 0.361948676 0.3543466383 0.4047680878 0.4018819626 0.622148751 0.511160513 0.314850045 0.2156438293 0.2507882581 0.2536809313 0.2485070843 0.1874912527 0.2914151532 0.9733307928 0.9663016821 0.6611390958 0.6132278741 0.6641199901 0.4737854244 0.575568906 0.8589778042 0.7316714691 0.720955194 1.5864340251 1.0721263136 1.4400837307 1.328741039 1.2629807955 1.2790426095 1.5600127614 2.0736626444 2.5900400922 3.344748746 1.6474061896 1.8134603855 1.9448874367

GDP (current US$) NY.GDP.MKTP.CD 5980840376.72106 7467363478.84782 8798957442.35583 9656740013.93973 9849117952.81548 11605084559.7301 17171181163.3349 27227710999.441 32147953007.653 39328674729.6386 48396143465.4843 54298158339.5256 55122620334.4537 78013206037.5695 92473878831.719 94715163814.2593 85369201879.0977 87612439197.276 87338874330.0743 80060657611.8902 75929617715.0119 88787623309.6593 101455197785.783 114426498044.996 128167999846.519 139116270052.446 158006849878.9 176892148243.49 202132032844.159 227369671349.349 215748854646.704 95445548017.3549 140001352527.221 165021012261.509 160446947638.313 195660611033.849 234772458818.096 256836883304.553 285868610016.591 364570525997.054 432216737774.861 510244548959.967 539579959052.699 708026840494.953 846832282925.207

GDP (current LCU) NY.GDP.MKTP.CN 412000000 496000000 1409000064 3386000128 7528000000 25020000256 333350010880 894632001536 2212520001536 2868460126208 3524710105088 3874840117248 4816110092288 7126040182784 11299500064768 13341400498176 16321400012800 20084399538176 24002500231168 34344699691008 48913499291648 58421298593792 62646502031360 77622801334272 89885100736512 96996803215360 102682601717760 124816900227072 149669292277760 179581793337344 210866301566976 249968606576640 282394905018368 329776111812608 382219709317120 454514108792832 532567992303616 627695377448960 955753502343168 1.09973161063219E+15 1.3897699E+15 1.646322E+15 1.8218334E+15 2.01367456E+15 2.295826274E+15 2.77428115971E+15 3.33921680000001E+15 3.9508932E+15 4.94868839721607E+15 5.60620339976E+15 6.43627079173E+15 7.42708608191E+15

GDP (constant 2000 US$) NY.GDP.MKTP.KD 18448917543.0937 19575208345.7326 19949028313.5138 19499569411.57 20172590380.1612 20363640992.5818 20944091970.0574 21179712359.7706 23728516741.3444 25502789513.2991 27581801389.1735 29511800441.052 31838126471.1194 34950673891.039 37836507705.0596 40176101277.1092 42581905063.171 46259476456.7959 50517919165.938 54100964303.248 58821272858.9985 63614142518.2266 64316489535.6947 69751173550.1278 74753833726.7956 77353427294.9816 81967185137.4495 86311448523.5578 91797126913.3154 100136633662.216 109150506063.016 118895240735.93 127480073499.85 136727574166.942 147036924428.259 159382671061.234 171563947984.591 179627234868.464 156048063635.727 157282606425.05 165021012261.509 171033497474.112 178729107603.082 187273018674.386 196694488176.924 207891462167.108 219327471266.474 233243848106.738 247270439237.57 258716276502.157 274744677419.886 292484879998.349

GDP growth (annual %) NY.GDP.MKTP.KD.ZG 6.1049153697 1.9096602252 -2.2530365634 3.4514657959 0.9470802154 2.8504282593 1.1249969206 12.0341784547 7.4773859289 8.1520959689 6.9973640396 7.8826977524 9.7761638793 8.2568760277 6.1834289525 5.9881464592 8.6364651562 9.2055575102 7.0926221754 8.7249989285 8.1481909967 1.1040737007 8.4499077199 7.1721519826 3.4775387944 5.9645163813 5.3000031401 6.3556787467 9.0847143362 9.0015732217 8.9277961453 7.2205016036 7.2540754121 7.5400666794 8.3963580447 7.6427862843 4.6998725423 -13.1267239347 0.7911298356 4.9200645973 3.6434664472 4.4994753909 4.7803691217 5.030873945 5.6925713038 5.5009517852 6.3450222445 6.0137025026 4.6288740781 6.195358535 6.4569777093

GDP (constant LCU) NY.GDP.MKTP.KN 155372639748096 164858007912448 168006235717632 164220993798144 169889025228800 171498010574848 176386438332416 178370780332032 199836238348288 214778765115392 232287736168448 248541754687488 268133549998080 294346725261312 318650569457664 338354101026816 358615240146944 389586920407040 425450568417280 455626169778176 495379548209152 535744019955712 541659028783104 587428716871680 629559997235200 651453190373376 690309222629376 726895633104896 773094784368640 843328237076480 919241045835776 1.00130901249229E+15 1.0736085457961E+15 1.15148891933901E+15 1.2383119516631E+15 1.34228505683558E+15 1.4448730350551E+15 1.51278022610125E+15 1.31420174208205E+15 1.32459878416384E+15 1.3897699E+15 1.4404057E+15 1.5052164E+15 1.5771713E+15 1.6565168E+15 1.7508152E+15 1.8471267E+15 1.9643273E+15 2.0824561E+15 2.1788503706E+15 2.313837963E+15 2.4632419645E+15

GDP, PPP (current international $) NY.GDP.MKTP.PP.CD 95260765910.6902 112678457848.201 120863560278.619 136261185665.017 151518641179.849 161575991315.664 175041495845.763 189719111640.278 208803662981.149 236347174940.803 267392663431.6 301163163062.605 329710174248.861 361380479249.934 396541394876.247 439836359249.31 481835659669.509 514206552882.774 452983646733.031 463261956465.078 496571644068.446 526331987733.815 558945755989.399 598002302512.926 645745309096.58 705158950677.644 767949074854.384 840351951108.31 910588847615.036 965280832187.438 1032323803217.66 1123469344628.88

GDP, PPP (constant 2005 international $) NY.GDP.MKTP.PP.KD 199519242466.213 215776451417.484 218158782469.883 236592998271.404 253561807687.638 262379517917.878 278029187245.136 292764742899.428 311371929441.639 339659179754.481 370233849524.139 403287572870.701 432406958536.874 463774085396.352 498742960677.024 540619205378.42 581937575857.165 609287900198.403 529308359571.764 533495875926.743 559744217646.371 580138310406.545 606241490916.22 635222071950.766 667179293661.54 705158950677.644 743949404563.462 791153159771.202 838730757140.021 877554547742.041 931922198314.92 992096206928.04

Natural gas rents (% of GDP) NY.GDP.NGAS.RT.ZS 0 0.0313760199 0.0327602548 0.0338235654 0.0800022828 0.0790562808 0.1564250715 0.4434672848 1.0581402894 1.9888083231 1.9445990373 1.8135667442 1.7566834989 1.9526616496 2.6110203496 2.349294794 2.3863194887 1.6798910142 1.365947041 1.0618891709 1.8418623051 1.8688231343 1.4845999622 1.7894920143 1.5237553753 1.3858700903 1.9547654014 1.9037652161 2.8297116481 1.5160336257 4.2609979682 3.9415416087 2.2997207899 3.851684119 3.676242037 5.5981976514 4.0670950924 3.1883806866 4.2286973444 1.3359361568 0.9308559871

GDP per capita (current US$) NY.GDP.PCAP.CD 54.5633625015 66.3995774646 76.2613015727 81.5866682421 81.1256279825 93.2077330044 134.504721479 208.0620132818 239.7205997269 286.2722427918 343.9961160702 377.0005894707 373.9568778778 517.2601994306 599.4076920163 600.3809610076 529.4355778174 531.9293186298 519.5056225257 466.9012814392 434.461042727 498.7878177107 559.9138265067 620.7161311267 683.7384322077 730.2214454984 816.4646469955 900.2674296864 1013.699544634 1124.161969707 1052.1077047556 459.2276532269 664.7397402269 773.3109699417 742.1107816498 893.3199025325 1058.2999838513 1143.4969506944 1257.6533962475 1585.650791352 1859.3026388732 2171.704800224 2272.7338490967 2951.699148509 3494.6045738883

GDP per capita (constant 2000 US$) NY.GDP.PCAP.KD 200.6481494184 207.7479243522 206.549652472 196.9290847915 198.6687943542 195.5284399284 196.0326509934 193.2230673904 210.9932762683 221.0348140402 233.0297052846 243.0840360675 255.7120179699 273.7744487406 289.1297020461 299.5848317479 309.9524087343 328.8088490755 350.7537987808 367.0258702919 390.0096518935 412.3413749718 407.6896902359 432.5769956741 453.8597053521 460.1105831695 478.0198529241 493.8647533506 515.6944954536 552.636897379 592.096070329 634.2710005235 669.1430377497 706.5088042849 748.3235142908 799.3099302666 848.2471059244 875.9592170189 750.8111959397 746.7927777117 773.3109699417 791.0764546605 816.0164079018 844.1834857318 875.7291575681 914.5999045861 953.9355312056 1003.3644335904 1052.4333889314 1089.724014122 1145.3854345843 1206.9910654619

GDP per capita growth (annual %) NY.GDP.PCAP.KD.ZG 3.5384203414 -0.5767912647 -4.6577506015 0.8834193103 -1.5806983859 0.2578709599 -1.4332222661 9.1967326251 4.7591742967 5.4266977338 4.3146133539 5.1949038311 7.0635830549 5.608724034 3.616069061 3.4606481663 6.083656655 6.6740751555 4.6391718543 6.2621693624 5.7259411325 -1.1281149597 6.1044726012 4.9199818508 1.3772709372 3.8923837898 3.3146950549 4.4201862868 7.1636215339 7.14016258 7.1229876886 5.4979712453 5.5841224413 5.9184980785 6.8134189294 6.1224280851 3.2669856344 -14.2869689191 -0.5352102166 3.5509438524 2.2973273895 3.1526602889 3.4517783659 3.7368264565 4.4386722404 4.300856191 5.1815768223 4.8904419669 3.543276523 5.1078456326 5.3785938792

GDP per capita (constant LCU) NY.GDP.PCAP.KN 1689813.64694651 1749606.3567625 1739514.78013056 1658492.51999499 1673143.96317695 1646696.60355666 1650942.95589485 1627281.27384988 1776937.98166339 1861505.55735487 1962523.83725052 2047199.15280693 2153549.18002594 2305666.91498571 2434985.40939073 2523036.16341918 2610349.56814376 2769154.27336388 2953969.71074034 3091009.44214667 3284573.68842269 3472646.4442741 3433471.00024001 3643066.29671824 3822304.4973308 3874947.98630284 4025775.83358632 4159218.02606478 4343063.21089217 4654183.82229783 4986500.11398285 5341687.90319586 5635372.36812844 5950058.46118655 6302212.55688032 6731608.70020176 7143746.60184311 7377131.77708108 6323163.25297079 6289321.0372286 6512651.295955 6662268.21796256 6872306.90241332 7109523.70530849 7375194.26805982 7702554.96871084 8033830.78095044 8450109.89464047 8863357.61517477 9177410.88470609 9646178.8657623 10165007.6518111

1 1.0353842034 1.0294121978 0.9814647449 0.990135194 0.974484143 0.9769970546 0.9629945153 1.051558546 1.1016040501 1.1613847721 1.2114940346 1.2744299846 1.364450405 1.4409786628 1.4930854464 1.5447558805 1.6387335245 1.7481038315 1.8292013724 1.9437490604 2.0550469873 2.0318636948 2.1558982574 2.2619680603 2.293121489 2.3823785782 2.4613471631 2.5701432929 2.7542586312 2.9509171754 3.1611106425 3.3349075967 3.5211329202 3.7295311044 3.9836396826 4.2275351574 4.3656481236 3.7419293331 3.721902145 3.8540648004 3.9426052867 4.0669022379 4.2072826895 4.3645015422 4.5582274605 4.7542702685 5.0006164348 5.2451686795 5.4310195099 5.7084276028 6.0154607404 0

GDP per capita, PPP (current international $) NY.GDP.PCAP.PP.CD 631.6187383601 730.3720273447 766.1305492031 845.0532273783 919.9288171971 961.0798925164 1020.8147316453 1085.5521935834 1173.009474813 1304.3595004818 1450.4939185647 1606.6165438934 1730.6490459007 1867.3518625807 2018.1410304209 2205.7954437545 2382.2936499605 2507.5483112515 2179.489995715 2199.6118397336 2327.0024493097 2434.4286293619 2551.9565007135 2695.6561697164 2875.0068229164 3102.283770025 3340.0918928667 3615.0117839531 3875.6517348922 4065.8041211319 4303.6635289321 4636.1967883435

GDP per capita, PPP (constant 2005 international $) NY.GDP.PCAP.PP.KD 1322.8960632462 1398.6443130713 1382.865997343 1467.2826732615 1539.4727144865 1560.6754247689 1621.4229020145 1675.1681267671 1749.2136785878 1874.5207263407 2008.3645537976 2151.4201137076 2269.7045729254 2396.4476553327 2538.2813637654 2711.2251066856 2877.2179140681 2971.2162099902 2546.7194735506 2533.08917074 2623.0377449231 2683.2975094753 2767.8927644908 2863.4342881266 2970.4358581699 3102.283770025 3235.7085336115 3403.3692570269 3569.8090554602 3696.2972616396 3885.0984198845 4094.0620856966

Oil rents (% of GDP) NY.GDP.PETR.RT.ZS 0 4.7030475612 5.2665868076 7.1487145846 19.4081333675 14.5661100803 15.2455436161 14.8513305662 12.7038650836 30.3481160526 24.7761397738 19.6573118061 13.6434001506 13.2840356072 13.8842724999 11.2040492354 5.2367468706 7.456062479 4.3029332704 5.2725062566 7.0103528151 5.4377134079 4.4866749985 3.4462095106 3.0409614346 2.9706121304 3.3311964292 3.2070279514 3.6052086141 3.6838129424 5.8980072569 4.5294276031 3.4912526888 3.222213751 3.8813120103 5.1179754034 4.5854834627 4.0252828022 4.8499713061 2.3585656976 2.4224112784

Total natural resources rents (% of GDP) NY.GDP.TOTL.RT.ZS 12.0277230688 17.2924357394 16.9576023707 17.4927376517 27.6160614181 21.0030259138 21.0312791059 20.2874588763 18.8165926066 38.536003331 31.9072103537 25.1790557359 18.7089393841 18.8079200233 19.7338612302 16.5062420562 10.9081594367 13.5201463784 10.3781155035 10.6129974407 12.5712368189 10.6836129009 9.2986253827 8.6553253406 7.6445975355 7.3994930444 7.9693139525 7.7153709019 11.6628128205 8.8255925522 13.7551256288 11.6422861571 8.7438649907 9.7469414983 10.5565087197 14.1336687881 12.2772426049 11.4627202506 11.6967176387 6.2258960757 5.9513147772

Gross domestic savings (current US$) NY.GDS.TOTL.CD 153590409.977595 515735699.638145 794562786.159509 1382139696.39452 1708686810.26945 2695113202.42892 3986787019.56627 7856621178.13976 8567340305.88916 10662085634.4675 14051090214.8626 14711871567.407 18099329506.5191 29673807784.2506 29324912838.9387 27469372206.4759 25442558254.8111 26584110309.4203 25947344511.7111 22854758991.0101 24092709823.1936 27995019956.9367 35959458575.8271 36917855234.8969 42614699822.755 46480154076.8539 51296388272.6746 56964662436.5651 61840028988.3513 68383382908.8363 67908874381.0514 25316970051.2936 27232706910.293 54066557095.179 49434230040.4202 54197693719.5453 77327747453.4851 73785280860.7791 83553702167.8351 112333377568.166 125180646646.975 147314812485.788 182331137619.659 242521809374.691 289466428112.636

Gross domestic savings (current LCU) NY.GDS.TOTL.CN 50981260 48126796 101903800 367217312 1161758848 1974000128 -7510243328 22974513152 152808357888 259027468288 504480989184 672231587840 1118471979008 1654516613120 3260497788928 3555446226944 4424765538304 5831202439168 6503382646784 11276968198144 18605180452864 18526307221504 18168791695360 23133900767232 27273700573184 28816600727552 29312601030656 39604800454656 47191203774464 63650401353728 68032594968576 83112299069440 94350996406272 107060696973312 123086394359808 139053495222272 160174401126400 197572712988672 253514001416192 213916995026944 455336400000000 507237200000000 504645100000000 663250360000000 659555529000000 810867138350000 1.02889694812958E+15 1.144276291E+15 1.42875627926341E+15 1.89440958E+15 2.20462834E+15 2.53874601E+15

Gross domestic savings (constant LCU) NY.GDS.TOTL.KN 20951460741120 16708928536576 23770370670592 18228394852352 19760322445312 18299263909888 12803873177600 5393260478464 13706940383232 14455408689152 29868253249536 37876041515008 53692136947712 66975074091008 113823193235456 93973968322560 101011716833280 136111624028160 135416535580672 198374221414400 300759547641856 244945843650560 216664893292544 198802359189504 247485259841536 248520900608000 234846966251520 272821154480128 301670818906112 345907639877632 382201287933952 432011063853056 511068191326208 511068191326208 561778803081216 566612218347520 597182587600896 593978005127168 427355889729536 383169735950336 455336400000000 467790900000000 464586600000000 526069550000000 517401983000000 580919931620000 606397049109880 625983736049210 694928291864070 731740560000000 807539240000000 902225380000000

Gross domestic savings (% of GDP) NY.GDS.TOTL.ZS 12.374092233 9.7029830645 7.2323488553 10.8451653313 15.4325032944 7.8896886803 -2.2529602768 2.5680406148 6.9065300102 9.0301923991 14.3126944952 17.3486277498 23.2235550595 23.2178962044 28.855239349 26.6497226242 27.1102082838 29.033491532 27.0946050793 32.83466823 38.0369033545 31.7115635349 29.002084883 29.8029707374 30.3428492038 29.7088149014 28.5468039768 31.7303188772 31.5303179806 35.4436828873 32.2633794319 33.2490948394 33.4110122844 32.464661065 32.2030474514 30.5938787228 30.0758595036 31.4758910272 26.5250402739 19.4517455858 32.7634380339 30.8103275058 27.6998489544 32.9373163457 28.7284598347 29.2280086866 30.8125231081 28.9624708408 28.8714132833 33.7913101776 34.2531943005 34.1822618184

Gross domestic income (constant 2000 US$) NY.GDY.TOTL.KD 12234000000 12220000000 14327000000 13531000000 13333000000 13437000000 13215000000 13633000000 15965000000 16374000000 17667000000 18797000000 19395000000 21546000000 29365000000 30357000000 31022000000 35058000000 39243000000 47734000000 59834000000 69057000000 68379000000 69848000000 76553000000 80823000000 79308000000 83247000000 84258000000 93472000000 105760000000 113990000000 121820000000 130210000000 140660000000 153720000000 166640000000 179460000000 160110000000 155500000000 165020000000 169420000000 173600000000 183160000000 191320000000 200140000000 216150000000 225930000000 254720000000 326660000000

Gross domestic income (constant LCU) NY.GDY.TOTL.KN 103029421649521 102917453481819 120656584042051 113952785972857 112283811402532 113161149300759 111291156173865 114814810841219 134451900065520 137899886705419 148785763220721 158306848498392 163339633890829 181457807031151 247308958784714 255658221305335 261258719921536 295252702120019 330491591622502 402001382728354 503904975975710 581579391831722 575871605472118 588242146388151 644714118997533 680674981706992 667909637627676 701089898523476 709604097584058 787198614025382 890698181678287 959995918026703 1.02590642590651E+15 1.09663961155623E+15 1.18463300853232E+15 1.29461172322931E+15 1.40339250892909E+15 1.51136706320234E+15 1.34841648516065E+15 1.30956901984671E+15 1.3897699E+15 1.42683395180639E+15 1.46203231828847E+15 1.54255328649425E+15 1.61121408082107E+15 1.68555809089873E+15 1.82019935338965E+15 1.90005275263682E+15 1.91410218627303E+15 2.04824227988562E+15 2.13152761597709E+15 2.23842510588029E+15

GNI, Atlas method (current US$) NY.GNP.ATLS.CD 8425358929.36955 9796107792.47064 10680285378.0051 11802079377.1728 15209706231.9474 21869855930.4256 30598315922.6487 38041080896.3058 44835448129.3311 54591679573.6723 61024935183.4625 74102765957.1954 86645076759.5626 90819836744.6753 90787472747.5009 88577760121.9473 85747246219.281 87675868080.3365 87687513795.4481 92511339762.3061 99094091478.5188 111035558985.195 112328990877.248 125833407541.248 151872354647.193 170560814172.852 194813951294.246 218091673282.729 222423770191.862 135080246894.207 119650728524.11 119461981087.737 143150068614.696 156660007999.405 198234188577.126 241393114380.276 276758976902.114 315565148800.701 371908891938.149 457094695997.876 512970954634.876 600129325480.892 712737211853.421

GNI (current US$) NY.GNP.MKTP.CD 6029094552.17759 7509247489.51033 8856350091.77914 9697862866.41096 9856336207.74678 11459372922.7566 16872771593.8699 26467950730.1783 31334457640.0964 38847711868.6072 47587471547.5277 53252798845.1138 52740185507.9514 74806298371.9457 89426993474.0305 90125190381.0369 81876470289.045 82499953788.1101 82776570562.1586 76004241017.966 71904371777.5841 84681738711.9619 96893883450.839 109208755903.079 111033521716.2 121895291970.841 151992470232.231 172149167358.134 196187842940.741 221276439898.601 209439968859.367 90063495459.3717 129337748223.759 150317437984.54 143412003490.969 172377758116.178 225746848314.878 245051229529.877 271957828699.404 349037826573.882 414441364730.336 492111613379.175 520694426985.141 688119221076.37 822695588767.184

GNI (current LCU) NY.GNP.MKTP.CN 416000000 500000000 1426999936 3408999936 7545999872 25323999232 334616002560 901850005504 2224929898496 2887170129920 3539719946240 3877679923200 4755639762944 7002200211456 10984199553024 13003799920640 16121800425472 19748800692224 23540399079424 32860299853824 46902800285696 56496398270464 59610601881600 74447000174592 84639997755392 91930000097280 97480003813376 118199999791104 142748002811904 171507993018368 201250993864704 216550892109824 247437696434176 317223499464704 371971313369088 441148002795520 518295815979008 609340432056320 901859782950912 1.01596740032922E+15 1.2659397E+15 1.471529E+15 1.6050423E+15 1.9362607E+15 2.19047608736E+15 2.6392806134E+15 3.19694789134E+15 3.788408515E+15 4.77282322021607E+15 5.40998385471E+15 6.25530190458E+15 7.21539681491E+15

GNI (constant 2000 US$) NY.GNP.MKTP.KD 18112269870.6157 19195667535.2328 19636664904.5883 19112294578.9221 19711160555.1733 20025589135.4204 20481167691.9447 20772001409.656 23237518331.6338 24987155951.3498 26982631024.752 28805100688.9294 30826610350.2805 33741487303.8325 36177332143.3575 38466101631.1528 41184958986.4412 44598557828.3159 48575141633.6163 50888201474.6918 55238520473.957 59913019435.0043 59540242136.8914 65246263386.9287 68640984643.0652 71387051732.4985 76021660041.5425 79930388600.1297 85781150765.6782 93621327663.4186 101797835059.832 101198351026.24 109772018062.02 128597879522.806 139783549053.829 151061548274.185 163009359789.639 170118026624.773 143405217224.309 141823927773.084 150317437984.54 160732626365.026 169331570762.783 175942584302.69 183423359245.625 193426607772.57 205242693401.323 218716792055.71 233399059177.488 244246272811.254 261179810202.044 278028956213.335

GNI growth (annual %) NY.GNP.MKTP.KD.ZG 5.9815675912 2.2973797006 -2.6703634666 3.1334070003 1.5951804531 2.2749820414 1.4200055489 11.8694240066 7.5293652048 7.9860031982 6.7542326117 7.0178878497 9.4557167344 7.2191389123 6.3265292165 7.0681905366 8.2884599764 8.9163955046 4.7618180067 8.548777267 8.4623898702 -0.6221974817 9.5834700116 5.2029358923 4.0006231025 6.4922254058 5.1415985345 7.3198219951 9.1397432044 8.7335947914 -0.5888966433 8.4721410466 17.1499638917 8.6981757184 8.068187778 7.9092341181 4.3608948862 -15.702515442 -1.1026721913 5.9887709675 6.9287958338 5.3498437699 3.9041824924 4.2518273632 5.4536393664 6.1088212035 6.5649589913 6.7129126135 4.647496726 6.9329767844 6.4511671091

GNI (constant LCU) NY.GNP.MKTP.KN 156353304105104 165705682671274 169512571387759 164985969610166 170155651531420 172869941224425 176802701342336 179313309512055 200596766518384 215700429658529 232926272869489 248658655152934 266109240700216 291271776704997 312299090877528 332056784104720 355527190294917 384994919167616 419322588833043 439289967374134 476843888241325 517196277136620 513978294925022 563235250685417 592540019701358 616245312621255 656253347369435 689995259860291 740501684656928 808181637058639 878764946417509 873589929145800 947601700111955 1.11011504951794E+15 1.20667480720135E+15 1.30403159651566E+15 1.40717050845827E+15 1.46853573520209E+15 1.23793868460998E+15 1.22428827898927E+15 1.2976081E+15 1.38751671597132E+15 1.46174669255678E+15 1.51881595101152E+15 1.58339338321354E+15 1.66974594808503E+15 1.77174774260564E+15 1.88806225533657E+15 2.01480622462602E+15 2.10844427795057E+15 2.25462223025309E+15 2.40007167800501E+15

GNI, PPP (current international $) NY.GNP.MKTP.PP.CD 91344858643.8479 108965859786.111 115006414406.904 130686297564.923 142677010364.11 153135777726.486 166172704987.01 179661559576.093 199147770506.282 225721265370.775 255199806075.451 260901368875.808 288895885008.062 347624876877.189 385908993863.392 426901888601.497 468923048334.116 499170225489.287 427440477404.895 427976281695.396 452326502481.105 470450363645.723 492433381542.167 575012655900.708 616113542265.764 670844893054.58 735230241867.56 805791583324.901 878228582428.38 931495585340.095 1003297912932.44 1091447849329.3

GNI per capita, Atlas method (current US$) NY.GNP.PCAP.CD 70 80 90 90 120 170 230 280 320 380 410 490 560 580 560 540 510 510 500 520 550 600 600 660 780 870 980 1080 1080 650 570 560 660 720 890 1070 1220 1370 1600 1950 2160 2500 2940

GNI per capita (constant 2000 US$) NY.GNP.PCAP.KD 196.9868108965 203.7199306677 203.3154822385 193.0179379991 194.1244247278 192.2825197971 191.6997692634 189.5035097755 206.6273327819 216.5657747447 227.9675089666 237.263061899 247.5878958202 264.3026888435 276.4510230428 286.8337200189 299.7840801752 317.0031654736 337.2647911 345.2301945885 366.2545044342 388.3510149565 377.4139889878 404.6388205152 416.746212362 424.6216250785 443.3464769001 457.3530200972 481.8981677423 516.6800416213 552.2108900909 539.8633196707 576.1934364277 664.500446591 711.4084919468 757.5791948588 805.9514793433 829.5871921213 689.981279739 673.3935008771 704.4080155245 743.4321234784 773.1104461455 793.1085062689 816.6430353961 850.9630706767 892.6756717949 940.8721900235 993.3939680819 1028.7757401302 1088.834743669 1147.3361156005

GNI per capita growth (annual %) NY.GNP.PCAP.KD.ZG 3.4180561331 -0.1985315958 -5.0648106706 0.5732559057 -0.9488269873 -0.3030699485 -1.1456766465 9.0361508484 4.8098389642 5.2647904478 4.0775779735 4.3516398375 6.7510541935 4.5963717783 3.75570937 4.5149364432 5.7438291214 6.3916161834 2.3617655026 6.0899394593 6.0331027345 -2.8162733062 7.2135194566 2.9921478694 1.8897382827 4.409773482 3.1592769824 5.366783768 7.2176812877 6.8767603947 -2.2360244323 6.7295027155 15.3259312898 7.0591442935 6.4900410151 6.3851125813 2.9326471114 -16.8283591777 -2.404091147 4.6057044814 5.5399863565 3.9920689098 2.5867015797 2.9673782265 4.2025749064 4.9018109664 5.3991073972 5.5822436475 3.561705948 5.837910168 5.372842139

GNI per capita (constant LCU) NY.GNP.PCAP.KN 1700479.23141642 1758602.56607796 1755111.18434039 1666218.12579528 1675769.81960324 1659869.66331054 1654839.09717716 1635879.99210325 1783700.57588923 1869493.70119276 1967918.62699458 2048162.04346539 2137290.67888513 2281580.33088907 2386450.24531739 2476078.38079221 2587871.74596771 2736514.67693657 2911422.19188941 2980183.15685165 3161674.50688004 3352421.57801175 3258008.22399753 3493025.28113197 3597541.76265879 3665525.88658239 3827167.27510454 3948078.08990653 4159962.90398416 4460215.76808103 4766934.11953875 4660344.30795437 4973962.30470825 5736268.34990852 6141199.80979109 6539766.19626339 6957337.63045087 7161371.79149868 5956230.42437581 5813037.21605048 6080768.53161571 6417642.27863544 6673838.98078562 6846471.2791293 7049631.97714647 7345898.04161352 7705980.07739516 8122034.21777864 8575425.95694603 8880857.41332081 9399313.89125766 9904324.18878026

1 1.0341805613 1.0321273862 0.9798520882 0.9854691481 0.9761187509 0.9731604283 0.9620111565 1.0489399358 1.0993922576 1.1572729561 1.2044616633 1.2568754969 1.3417278428 1.4033986427 1.456106217 1.5218484873 1.6092608639 1.7121186417 1.7525548691 1.8592843996 1.9714569376 1.9159353221 2.0541416894 2.1156046461 2.1555840371 2.2506404103 2.3217443747 2.446347375 2.6229169317 2.8032886444 2.7406064254 2.9250356093 3.3733245569 3.6114524049 3.8458371472 4.0913981788 4.2113844493 3.5026775478 3.418469987 3.5759146123 3.774019794 3.9246812648 4.0262010571 4.1456736706 4.319898712 4.5316519808 4.7763207381 5.0429465991 5.2225615281 5.5274499786 5.8244311402

GNI per capita, PPP (current international $) NY.GNP.PCAP.PP.CD 610 710 730 810 870 910 970 1030 1120 1250 1380 1390 1520 1800 1960 2140 2320 2430 2060 2030 2120 2180 2250 2590 2740 2950 3200 3470 3740 3920 4180 4500

Gross savings (current US$) NY.GNS.ICTR.CD 26528027481.2502 23013398773.2535 22063826664.7584 21638624900.2544 21473040743.7954 19057342397.086 20324463885.7659 24143135359.2392 31737144240.8828 32118113092.9806 25742221692.4354 29830175995.2493 45819008626.0059 52840681551.2095 56876839084.9337 63227151458.0884 62633988593.7144 21401268836.7052 18482702606.8312 41179382818.2105 33919285893.0762 32654878364.9382 70170846301.3691 63138459033.2531 74435872878.5721 101663743754.455 112509273602.451 134545501164.988 168023157759.252 227244485568.731 269541924601.902

Gross savings (current LCU) NY.GNS.ICTR.CN 16759346900617.4 15221521823310 20061755248665.3 22199929562278.8 23847528645604.8 24442186181447.8 33410369462413.6 40698082096205.7 56176651394615.3 59187581870796.2 50205568428551.7 60552872167172.8 95628857377849.4 114175502661776 127893265920761 148096959947544 182226066394860 214303737263361 145184399577099 346803512819531 348040691406250 304055822803752 601864668292368 564385189865934 722380955788066 931170396090979 1.02844727E+15 1.30491107032882E+15 1.74575052772917E+15 2.06575084643018E+15 2.36399948025934E+15

Gross savings (% of GNI) NY.GNS.ICTR.GN.ZS 29.6644519185 25.5349238941 26.9477013199 26.2286509346 25.9409644516 25.0740513185 28.2659640621 28.5104388815 32.754538378 29.4098333301 23.1841891481 24.4719673032 30.1455779724 30.6947064352 28.9910109782 28.5738289567 29.9054611853 23.7624230856 14.2902616295 27.3949472332 23.6516365907 18.9437887589 31.0838653231 25.7654120546 27.3703732798 29.1268556054 27.1472114459 27.3404442218 32.2690524521 33.0239991281 32.7632636278

Gross savings (% of GDP) NY.GNS.ICTR.ZS 28.6870495932 24.2974808325 25.8451832501 24.6981194663 24.5858913439 23.8036296048 26.767504562 27.1920054387 31.281930284 28.0687722177 20.0847494876 21.4426220485 28.9981153736 29.8716941797 28.1384589491 27.8080849934 29.0309715416 22.4224903951 13.201802892 24.9540238869 21.1404993316 16.6895514597 29.8888748087 24.5830965634 26.0384912055 27.8858921676 26.0307535015 26.3688267595 31.139621652 32.0954620039 31.8294342382

Gross national income (constant LCU) NY.GNY.TOTL.KN 104277746265713 103991948445531 122512514672195 114896382934649 112618921186084 114845165240343 111796977833001 115945833881731 135361580771056 139014581189387 149573524159729 158452353868504 160716908598797 177430465166191 239313057701066 248013928201719 257423329068416 289497801410643 323067552431974 382650258678434 482209800123678 561466269699754 549869326105462 561187583256759 605246242645533 643801525648624 632284431605532 662180795738964 675390329383866 750582814061734 849343459923151 914609853564879 977461484897616 1.0236035333042E+15 1.14932781951676E+15 1.23381079884403E+15 1.35808337219693E+15 1.45525896101328E+15 1.24694227920251E+15 1.22921413277291E+15 1.2976367E+15 1.36062335180639E+15 1.40567531828847E+15 1.46132248649425E+15 1.53074594596731E+15 1.57817641300018E+15 1.70634188052035E+15 1.77948909761136E+15 1.81750667494991E+15 1.93842301118562E+15 2.03853561207709E+15 2.14197213598029E+15

Net income from abroad (current US$) NY.GSR.NFCY.CD 48254175.4565327 41884010.6625182 57392649.4233129 41122852.4712329 7218254.931308 -145711636.973494 -298409569.46506 -759760269.262651 -813495367.556627 -480962861.031325 -808671917.956627 -1045359494.4118 -2382434826.50225 -3206907665.62379 -3046885357.68846 -4589973433.22235 -3492731590.05267 -5112485409.16593 -4562303767.91573 -4056416593.92414 -4025245937.42774 -4105884597.69747 -4561314334.94429 -5217742141.91638 -17134478130.3196 -17220978081.6046 -6014379646.6687 -4742980885.35555 -5944189903.41755 -6093231450.74794 -6308885787.33701 -5382052557.98317 -10663604303.4625 -10943274514.6104 -5949916656.4355 -5854578390.83932 -9025615166.78159 -11785645496.2068 -13910775164.5257 -15532699423.171 -17775373046.7126 -18132935580.7916 -18885532067.5576 -19907619418.5829 -24136694158.0234

Net income from abroad (current LCU) NY.GSR.NFCY.CN 4000000 4000000 17999872 22999808 17999872 303998976 1265991680 7218003968 12409896960 18710003712 15009841152 2839805952 -60470329344 -123839971328 -315300511744 -337600577536 -199599587328 -335598845952 -462101151744 -1484399837184 -2010699005952 -1924900323328 -3035900149760 -3175801159680 -5245102981120 -5066803118080 -5202597904384 -6616900435968 -6921289465856 -8073800318976 -9615307702272 -33417714466816 -34957208584192 -12552612347904 -10248395948032 -13366105997312 -14272176324608 -18354945392640 -53893719392256 -83764210302976 -92161800000000 -61051200000000 -54513100000000 -77413900000000 -105350112640000 -135000486600000 -142268908660000 -162484685020000 -175865177000000 -196219545049999 -180968887150000 -211689267000000

Net income from abroad (constant LCU) NY.GSR.NFCY.KN 1248324616192 1074494963712 1855930630144 943596961792 335109783552 1684015939584 505821659136 1131023040512 909680705536 1114694483968 787760939008 145505370112 -2622725292032 -4027341864960 -7995901083648 -7644293103616 -3835390853120 -5754900709376 -7424039190528 -19351124049920 -21695175852032 -20113122131968 -26002279366656 -27054563131392 -39467876352000 -36873456058368 -35625206022144 -38909102784512 -34213768200192 -36615799963648 -41354721755136 -45386064461824 -48444941008896 -73036078252032 -35305189015552 -60800924385280 -45309136732160 -56108102189056 -101474205958144 -80354887073792 -92133200000000.3 -66210600000000.3 -56357000000000 -81230800000000 -80468134853760 -107381677898550 -113857472869300 -120563655025460 -96595511323120 -109819268700000 -92992003900000.3 -96452969900000

Net taxes on products (current US$) NY.TAX.NIND.CD

Net taxes on products (current LCU) NY.TAX.NIND.CN

Net taxes on products (constant LCU) NY.TAX.NIND.KN 42933034156032 53776127885312 53833963143168 55838920146944 63011125460992 67885988839424 71248138731520 74920998469632 72196319870976 83861358772224 5972769112064 19862703308800

Net current transfers from abroad (current US$) NY.TRF.NCTR.CD

Net current transfers from abroad (current LCU) NY.TRF.NCTR.CN

Net current transfers from abroad (constant LCU) NY.TRF.NCTR.KN

Terms of trade adjustment (constant LCU) NY.TTF.GNFS.KN -52343218098575.3 -61940554430628.8 -47349651675580.6 -50268207825287.3 -57605213826268 -58336861274089.2 -65095282158550.9 -63555969490813.2 -65384338282767.7 -76878878409973 -83501972947726.9 -90234906189095.6 -104793916107251 -112888918230161 -71341610672949.6 -82695879721481.1 -97356520225408.2 -94334218287021.3 -94958976794777.9 -53624787049822 8525427766558 45835371876009.9 34212576689013.6 813429516470.719 15154121762333 29221791333615.8 -22399585001700.3 -25805734581419.9 -63490686784581.8 -56129623051098.3 -28542864157489.1 -41313094465587.3 -47702119889588.6 -54849307782782.6 -53678943130783.3 -47673333606267.6 -41480526126009.4 -1413162898909.5 34214743078602.9 -15029764317133.8 0 -13571748193606.9 -43184081711525.9 -34618013505747.3 -45302719178928.5 -65257109101273.5 -26927346610351.9 -64274547363183.5 -168353913726967 -130608090714376 -182310347022908 -224816858619710

DEC alternative conversion factor (LCU per US$) PA.NUS.ATLS 149.5829925537 296.2919921875 326 365 393.4200134277 415 415 415 415 415 415 442.049987793 623.0599975586 626.9899902344 631.7600097656 661.4199829102 909.2600097656 1025.9399414063 1110.5799560547 1282.5600585938 1643.8499755859 1685.6999511719 1770.0600585938 1842.8100585938 1950.3199462891 2029.9200439453 2087.1000976563 2160.75 2248.6000976563 2342.3000488281 2909.3798828125 10013.599609375 7855.1499023438 8421.775390625 10260.849609375 9311.19140625 8577.1328125 8938.849609375 9704.7421875 9159.31640625 9141 9698.66 10389.94 9090.4333333333 8770.4333333333

Official exchange rate (LCU per US$, period average) PA.NUS.FCRF 149.5833333333 296.2916666667 326 362.8333333333 391.875 415 415 415 414.999999999 414.999999999 414.999999999 442.0454166659 623.0554999991 626.9939999986 631.7566666642 661.4207499993 909.264833332 1025.9448333315 1110.5799999997 1282.5599999998 1643.8483333333 1685.7041666667 1770.0591666667 1842.8133333333 1950.3175 2029.9208333333 2087.1038666667 2160.753675 2248.607975 2342.2962916667 2909.38 10013.6225 7855.15 8421.775 10260.85 9311.1916666667 8577.1333333333 8938.85 9704.7416666667 9159.3166666667 9141 9698.9625 10389.9375 9090.4333333333 8770.4333333333

PPP conversion factor, GDP (LCU per international $) PA.NUS.PPP 513.46951522 518.47797449 518.32414904 569.66186633 593.22800176 600.31693091 586.61862561 657.90367216 716.79438062 759.82204307 788.60167239 830.01056316 856.49436103 912.54544932 963.88350436 1033.3709327 1105.2897012 1220.7066867 2109.9072985 2373.887161 2798.7298844 3127.9155331 3259.4100241 3367.3357971 3555.3123525 3934.2635544 4348.2268673 4701.4744177 5434.6024665 5807.8470149 6234.740274 6610.8489007

PPP conversion factor (GDP) to market exchange rate ratio PA.NUS.PPPC.RF 0.8189437203 0.820688183 0.7836535975 0.6265115151 0.5782287811 0.5405436391 0.4573810183 0.4002212379 0.4252206213 0.4292634249 0.4279343217 0.4255766162 0.4219350233 0.437231281 0.4460874716 0.4595618998 0.4718822005 0.4195762451 0.2107041804 0.3022077478 0.3323206515 0.3048398186 0.3500529505 0.3925945734 0.3977371259 0.4053959887 0.4747326847 0.5143282374 0.5603457041 0.5589875413 0.6858573233 0.7537653671

PPP conversion factor, private consumption (LCU per international $) PA.NUS.PRVT.PP 803.57965094 817.63005641 843.20651256 913.25982879 966.99801137 977.90679034 1016.0064664 1070.2107964 1111.7198005 1128.5891726 1154.4457264 1211.8293186 1264.7222346 1347.4730304 1425.0988629 1516.9579291 1591.1952392 1651.7131191 2576.1118521 3037.4736868 3047.5567939 3304.6933079 3639.5257473 3793.107549 3924.8533972 4192.8254193 4594.2716795 4753.0580893 5024.8363553 5285.5004752 5467.1289696 5583.759928

Real effective exchange rate index (2005 = 100) PX.REX.REER

Literacy rate, youth female (% of females ages 15-24) SE.ADT.1524.LT.FE.ZS 81.64840035 95.06925265 98.5421609 96.27236105 99.38240944 99.39658982

Ratio of young literate females to males (% ages 15-24) SE.ADT.1524.LT.FM.ZS 0.911343828 0.976047597 99.6713608 99.2217547 99.8442104 99.8458643

Literacy rate, youth male (% of males ages 15-24) SE.ADT.1524.LT.MA.ZS 89.59121447 97.4022711 98.86707685 97.02747277 99.53747847 99.55003197

Literacy rate, youth total (% of people ages 15-24) SE.ADT.1524.LT.ZS 85.43709166 96.207558 98.7054552 96.65104033 99.46010544 99.47374386

Literacy rate, adult female (% of females ages 15 and above) SE.ADT.LITR.FE.ZS 57.69462777 75.27011869 86.79958907 88.78698384 89.10139087 89.67711674

Literacy rate, adult male (% of males ages 15 and above) SE.ADT.LITR.MA.ZS 77.474998 88.02452107 94.03508227 95.15854388 95.38319348 95.64700578

Literacy rate, adult total (% of people ages 15 and above) SE.ADT.LITR.ZS 67.31267192 81.51985243 90.38478936 91.98227127 92.19230071 92.58169512

Ratio of female to male primary enrollment (%) SE.ENR.PRIM.FM.ZS 86.081 84.018 84.365 82.843 80.857 85.521 87.873 87.737 87.611 87.45 89.88 94.3 94.772 95.133 94.179 94.959 94.673 95.872 95.95 97.4 98.345 96.834 96.571 96.282 96.331 96.409 96.599 97.778 97.829 98.104 98.321 96.556 96.495 95.828 97.377 96.711 101.754

Ratio of girls to boys in primary and secondary education (%) SE.ENR.PRSC.FM.ZS 80.629 80.031 79.913 78.647 77.205 81.588 83.566 83.536 83.776 83.812 85.711 89.657 89.97 90.328 91.584 92.206 92.955 93.731 92.125 92.964 92.882 92.978 96.013 97.769 98.07 98.263 98.582 97.318 97.892 97.549 97.983 97.614 101.098

Ratio of female to male secondary enrollment (%) SE.ENR.SECO.FM.ZS 53.326 59.134 57.218 57.786 59.663 63.755 64.353 64.787 66.036 68.666 69.584 73.655 73.528 80.16 81.622 83.189 82.12 82.539 80.772 84.394 85.374 86.093 95.114 97.967 98.763 98.764 99.235 98.897 100.482 100.487 99.119 99.143 100.226

Ratio of female to male tertiary enrollment (%) SE.ENR.TERT.FM.ZS 32.197 36.947 38.069 40.236 46.487 48.396 46.419 48.861 66.337 63.262 54.577 88.128 76.358 86.438 79.681 79.437 91.431 99.174 91.981 95.887 89.226

School enrollment, preprimary (% gross) SE.PRE.ENRR 5.69631 5.49415 5.66888 5.27605 6.72405 6.7664 7.35015 8.38665 9.22982 10.79275 11.86299 14.505 13.12286 13.8841 13.90725 14.09172 14.06616 16.59247 17.10276 16.7768 17.45215 17.61189 18.24391 17.72264 18.36421 18.65808 18.4527 22.533 23.86137 24.22573 26.18979 27.80114 28.06964 33.25337 36.91868 43.44076 45.90642 47.76598 43.43366

School enrollment, preprimary, female (% gross) SE.PRE.ENRR.FE 5.61873 5.79985 6.0086 5.71494 7.52235 8.21135 10.2941 18.84498 19.23444 22.6023 24.30907 24.68514 27.22594 28.99708 29.29783 33.80717 37.53956 44.3624 46.38709 48.75808 43.99256

School enrollment, preprimary, male (% gross) SE.PRE.ENRR.MA 5.77187 5.19608 5.33727 4.84694 5.94221 6.50486 8.18728 17.8988 18.10028 22.46605 23.42895 23.78202 25.18967 26.64748 26.88544 32.71957 36.32024 42.55278 45.44347 46.8107 42.89558

Primary school starting age (years) SE.PRM.AGES 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7

Primary completion rate, female (% of relevant age group) SE.PRM.CMPT.FE.ZS 93.90501 92.70116 91.22556 93.14285 94.99786 96.04809 97.57226 97.02482 95.94191 101.14018 100.59015 104.92544

Primary completion rate, male (% of relevant age group) SE.PRM.CMPT.MA.ZS 92.66704 92.01678 94.79673 92.34093 94.3556 96.09123 96.29706 95.90205 95.73894 103.40563 101.99195 104.12447

Primary completion rate, total (% of relevant age group) SE.PRM.CMPT.ZS 50.52433 51.75514 49.67472 48.0896 47.55733 52.04712 54.80664 63.95286 68.46612 73.59784 82.89185 92.17378 94.52164 93.9084 94.15788 94.41486 91.65257 88.69302 87.27169 90.76902 93.27322 93.27766 92.35427 93.03636 92.7356 94.6716 96.07001 96.92416 96.45408 95.83872 102.29208 101.30306 104.51802 108.79271

Primary education, duration (years) SE.PRM.DURS 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6

Primary education, pupils SE.PRM.ENRL 14870220 15519557 16140125 16643900 16892010 17776617 18779943 19783270 22024819 25537053 27026488 27990275 29108580 29909188 29897115 29882556 29999990 30130564 29933790 29753576 29577704 29598790 29876196 29721859 29447990 29236283 28201934 28690131 28926377 29050834 29142093 29149746 28982708 29796705 29498266 29901051 30341821

Primary education, pupils (% female) SE.PRM.ENRL.FE.ZS 45.6 45 45.1 44.65686 44.08009 45.49947 46.21545 46.21673 46.20685 46.15445 46.81442 47.98625 48.08851 48.16486 47.90072 48.09234 48.00035 48.2967 48.30095 48.66408 48.89424 48.49541 48.41517 48.32803 48.33018 48.33018 48.32745 48.62186 48.62113 48.67859 48.72238 48.26 48.23694 48.0562 48.44783 48.26759 49.52885

Pupil-teacher ratio, primary SE.PRM.ENRL.TC.ZS 28.93 29.01937 29.43001 29.90001 29.47681 29.46432 30.34809 36.00107 37.17652 32.43212 31.57757 28.79975 27.55328 26.43857 25.2978 24.42609 23.96357 23.55995 23.27149 23.21946 23.4541 23.1926 23.05079 22.66127 22.34334 22.02891 22.44616 22.24524 20.90186 20.29418 20.12598 20.41336 20.30194 18.81593 17.48179 16.61194 15.96983

School enrollment, primary (% gross) SE.PRM.ENRR 81.33843 82.57871 83.63544 83.96663 82.9432 85.042 87.71053 90.2089 98.14959 107.5542 112.03219 114.26794 117.12005 118.74434 117.30758 115.95576 115.10457 114.33488 112.4511 110.83585 109.25308 108.72088 109.51867 109.12067 108.68834 108.66381 106.44637 108.64418 109.75221 110.56415 111.44547 112.14914 112.29447 116.2834 115.5349 116.99583 118.12384

School enrollment, primary, female (% gross) SE.PRM.ENRR.FE 75.17976 75.32015 76.45661 75.99361 74.06452 78.33125 81.98945 84.25906 91.60868 100.28591 106.00214 110.88005 113.94159 115.74879 113.75006 112.92155 111.91612 111.89457 110.09638 109.35644 108.32874 106.94779 107.58158 107.02401 106.62778 106.64736 104.57549 107.4041 108.52771 109.48815 110.48624 110.15052 110.25688 113.76321 113.97246 115.00541 119.16959

School enrollment, primary, male (% gross) SE.PRM.ENRR.MA 87.33557 89.64718 90.62572 91.73257 91.59894 91.59294 93.30494 96.03632 104.56252 114.67843 117.93751 117.58243 120.22685 121.67017 120.78056 118.91619 118.2134 116.71255 114.74392 112.2757 110.15231 110.44496 111.40128 111.15738 110.68913 110.6202 108.25776 109.84439 110.93669 111.60447 112.37245 114.07983 114.26223 118.71649 117.04282 118.91609 117.11529

Gross intake rate in grade 1, female (% of relevant age group) SE.PRM.GINT.FE.ZS 102.46162 102.91899 108.59329 104.44703 107.05963 111.92083 115.05072 110.8733 114.84153 118.24894 121.58815 121.43831 117.51716 113.65504

Gross intake rate in grade 1, male (% of relevant age group) SE.PRM.GINT.MA.ZS 108.41596 108.21482 111.40755 111.82346 112.76345 117.72457 114.63427 115.59369 118.95952 122.83113 127.1665 121.08196 120.59644 127.57609

Gross intake rate in grade 1, total (% of relevant age group) SE.PRM.GINT.ZS 89.38755 90.62958 99.29745 109.99213 112.33829 106.5021 118.87645 118.92514 126.71027 121.32925 124.08729 122.70759 107.63137 110.21596 114.10553 113.13815 108.69169 105.57755 104.49243 104.40737 106.06324 105.48503 105.60852 110.02312 108.19758 109.95989 114.87271 114.83885 113.27542 116.93746 120.58132 124.42808 121.25686 119.08535 120.74544

School enrollment, primary (% net) SE.PRM.NENR 68.17633 69.36963 69.17915 71.59494 74.49356 76.87885 83.52597 88.14738 94.90917 97.36771 96.78759 97.78576 97.13166 96.27058 97.19276 96.21186 94.64171 93.81072 93.06601 91.96741 92.56605 92.45652 91.44203 91.42139 90.10333 91.01602 91.18703 91.49998 91.80575 92.38541 95.4495 94.83228 95.70341 95.30961 96.4917

School enrollment, primary, female (% net) SE.PRM.NENR.FE 63.20265 64.37369 62.02292 66.86248 70.03677 78.89505 83.50473 90.8068 94.43318 94.62738 94.61059 94.17123 92.66929 91.87716 91.0007 90.10043 90.60538 90.43817 90.11896 90.13552 88.51969 90.3926 90.7226 90.59797 90.81147 90.73901

School enrollment, primary, male (% net) SE.PRM.NENR.MA 73.01976 74.23435 76.15569 76.21471 78.85167 88.06628 92.69802 98.92669 99.08892 97.87382 99.71044 98.20012 96.56228 95.69258 95.0752 93.78279 94.47159 94.41716 92.72671 92.66896 91.63661 91.61939 91.63628 92.37209 92.76661 93.97586

Net intake rate in grade 1, female (% of official school-age population) SE.PRM.NINT.FE.ZS 43.34434 45.31247 38.61167 36.20224 38.58143 40.51367 40.43596 47.8699 46.11029

Net intake rate in grade 1, male (% of official school-age population) SE.PRM.NINT.MA.ZS 44.45462 46.4104 39.141 38.47167 39.95894 41.71236 37.14535 43.49261 43.11816

Net intake rate in grade 1 (% of official school-age population) SE.PRM.NINT.ZS 43.90889 45.87089 38.88097 37.35711 39.28254 41.12382 38.76072 45.64102 44.58648

School enrollment, primary, private (% of total primary) SE.PRM.PRIV.ZS 33.16994 34.42709 23.58844 20.74207 19.61239 19.14996 18.12676 17.47705 17.31277 17.61737 17.35275 17.42109 17.48324 17.57373 17.0694 17.09502 17.76747 17.69531 17.65192 17.30303 15.75903 15.86492 15.97075 16.14265 16.32233 16.64718 15.89865 18.19616 16.10968 16.37894 16.8167

Persistence to grade 5, female (% of cohort) SE.PRM.PRS5.FE.ZS 96.03622 96.07432 89.54048 99.00523 92.17947 89.87799 84.85074 89.31979

Persistence to grade 5, male (% of cohort) SE.PRM.PRS5.MA.ZS 91.22414 95.59822 93.52713 90.13441 86.56546 88.29139 89.80897 83.12782

Persistence to grade 5, total (% of cohort) SE.PRM.PRS5.ZS 59.98857 59.77086 51.48492 45.58419 45.31181 50.19643 51.20584 56.39151 58.39954 69.07997 74.61964 75.50647 84.48108 84.96098 83.73633 82.69486 82.73977 84.74279 88.20215 90.41437 90.75125 93.52492 95.82656 91.59145 94.32499 89.24789 89.07134 87.35284 86.08655 91.79967

Persistence to last grade of primary, female (% of cohort) SE.PRM.PRSL.FE.ZS 92.66709 92.18085 86.65673 88.71967 87.05085 80.90618 82.82456

Persistence to last grade of primary, male (% of cohort) SE.PRM.PRSL.MA.ZS 86.07519 86.68078 87.42234 83.30077 85.709 85.94947 77.36739

Persistence to last grade of primary, total (% of cohort) SE.PRM.PRSL.ZS 48.80955 49.28971 43.27563 37.98552 37.04645 42.94934 40.82066 49.55267 55.80332 61.72569 69.79971 80.29595 79.03026 77.5472 78.61904 79.70946 79.79753 79.90706 84.55328 87.00325 89.22695 89.31864 87.05061 85.88998 86.36936 83.44681 79.97704 91.79967

Repeaters, primary, female (% of female enrollment) SE.PRM.REPT.FE.ZS 7.38841 7.01439 6.00173 6.15778 5.1141 3.76843 2.89004 3.58128 2.86538 2.65043 2.19344 2.71614 2.71795

Repeaters, primary, male (% of male enrollment) SE.PRM.REPT.MA.ZS 7.82847 6.85512 5.70389 6.17471 5.50376 3.77519 2.88632 5.50875 4.45581 3.95185 3.58357 4.33093 3.88661

Repeaters, primary, total (% of total enrollment) SE.PRM.REPT.ZS 11.99455 11.27244 10.713 10.72251 10.23375 10.98302 12.01716 8.30135 8.79037 9.58984 9.18013 9.30791 10.88517 10.06127 9.69671 9.62066 9.82815 9.67133 9.24859 8.98517 8.42126 7.6158 6.93209 5.84784 6.16648 5.31431 3.7719 2.88813 4.57855 3.68863 3.32644 2.91008 3.55151 3.30779

Trained teachers in primary education, female (% of female teachers) SE.PRM.TCAQ.FE.ZS

Trained teachers in primary education, male (% of male teachers) SE.PRM.TCAQ.MA.ZS

Trained teachers in primary education (% of total teachers) SE.PRM.TCAQ.ZS

Primary education, teachers SE.PRM.TCHR 514007 534800 548424 556652 573061 603327 618818 549519 592439 787400 855876 971893 1056447 1131271 1181807 1223387 1251900 1278889 1286286 1281407 1261089 1276217 1296103 1311571 1317976 1327178 1256426 1289720 1383914 1431486 1447984 1427974 1427583 1583589 1687371 1799973 1899946

Primary education, teachers (% female) SE.PRM.TCHR.FE.ZS 31.79996 36.49862 36.13615 36.55499 32.78242 49.30506 49.70134 49.95918 50.53687 50.47939 51.4284 52.05613 52.25443 52.26082 53.68291 52.23754 52.03871 54.08093 52.29685 61.02205 57.58028 59.0556 59.55412 59.96613

Adjusted net enrollment rate, primary (% of primary school age children) SE.PRM.TENR 68.17633 69.36963 69.17915 71.59494 74.49356 76.87885 83.52597 88.14738 94.90917 97.36771 96.78759 97.78576 97.13166 96.27058 97.19276 96.21186 94.64171 93.81072 93.06601 91.96741 92.56605 92.45652 91.44203 91.42139 93.96285 95.18265 95.31033 95.85104 96.37284 95.08539 98.36876 98.00733 98.74353 98.43657 99.58862

Adjusted net enrollment rate, primary, female (% of primary school age children) SE.PRM.TENR.FE 63.20265 64.37369 62.02292 66.86248 70.03677 78.89505 83.50473 90.8068 94.43318 94.62738 94.61059 94.17123 92.66929 91.87716 91.0007 90.10043 90.60538 90.43817 90.11896 90.13552 92.29948 94.50965 94.87324 94.99368 95.40446 93.46369

Adjusted net enrollment rate, primary, male (% of primary school age children) SE.PRM.TENR.MA 73.01976 74.23435 76.15569 76.21471 78.85167 88.06628 92.69802 98.92669 99.08892 97.87382 99.71044 98.20012 96.56228 95.69258 95.0752 93.78279 94.47159 94.41716 92.72671 92.66896 95.57331 95.83402 95.73314 96.67997 97.30866 96.65198

Children out of school, primary SE.PRM.UNER 5980831 5911106 6276900 5937605 5461254 5070586 3696782 2814217 1228105 644787 798401 557721 731026 961096 731659 998284 1426344 1661494 1877216 2186838 2027947 2054663 2318695 2308097 1599485 1272138 1236013 1090144 948474 1277402 421016 510605 320801 399571 105670

Children out of school, primary, female SE.PRM.UNER.FE 3411907 3391870 3817993 3421688 3171846 2344588 1938670 1097290 683892 683759 693448 758041 962699 1075502 1201399 1328676 1263130 1283320 1318883 1306967 1003605 713088 664387 646619 590578 834772

Children out of school, primary, male SE.PRM.UNER.MA 2568924 2519236 2458907 2515917 2289408 1352194 875547 130815 114509 277337 38211 240243 463645 585992 675817 858162 764817 771343 999812 1001130 595880 559050 571626 443525 357896 442630

Secondary school starting age (years) SE.SEC.AGES 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13

Secondary education, duration (years) SE.SEC.DURS 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6

Secondary education, pupils SE.SEC.ENRL 2459875 2640400 2783738 2965852 3189469 3570080 3833129 4084307 4467512 5721815 6320013 7222213 7445917 9479086 10906515 11545063 11693361 11243323 10965430 10920580 10969305 11360349 12223753 13095913 14209974 14263912 14828085 15140713 15872535 16353933 15993187 16797809 18716929 18314900 19520704 19975916

Secondary education, pupils (% female) SE.SEC.ENRL.FE.ZS 34.16979 36.45042 35.68155 35.93338 36.69915 38.26668 38.49109 38.66245 39.1241 40.12543 40.48901 41.90338 41.88485 43.9857 44.41371 44.86594 44.52828 44.64785 44.10706 45.18278 45.45846 45.65486 48.07133 48.7841 48.98272 48.97066 49.07068 48.96249 49.33718 49.35088 49.00961 49.00622 49.25902

Secondary education, general pupils SE.SEC.ENRL.GC 1815645 1955806 2102558 2246893 2400044 2709953 2881499 3088243 3371231 4879361 5475099 6328508 6511390 7042001 8311594 9532538 10048870 10223123 9757174 9510766 9506882 9538778 9919480 10631996 11430633 12442813 12210019 12894148 13113249 13772782 14155490 13829119 14565882 16315197 15575938 16425000 16656848

Secondary education, general pupils (% female) SE.SEC.ENRL.GC.FE.ZS 37.09998 38.90509 37.36805 37.6021 38.99999 40.17922 40.49705 40.93739 41.28732 40.77911 40.80522 42.22321 41.94889 42.23755 44.13457 44.70038 45.05003 45.38672 45.44938 44.76075 45.943 45.90937 46.0964 48.97884 49.61616 49.90974 49.84946 49.96591 49.98712 50.47041 50.51358 50.36809 50.50236 50.80133

Pupil-teacher ratio, secondary SE.SEC.ENRL.TC.ZS 13.10005 13.63815 12.84415 13.43108 14.36685 16.10254 14.85468 15.66601 15.37848 15.26774 15.10553 14.82182 12.9166 13.54265 13.82294 14.0878 14.13826 14.27041 14.39865 15.7838 14.25666 13.58158 14.23421 14.20076 12.47833 12.26633 13.0443 11.95971 12.59356 12.17648

Secondary education, vocational pupils SE.SEC.ENRL.VO 644230 684594 681180 718959 789425 860127 951630 996064 1096281 842454 844914 893705 934527 1167492 1373977 1496193 1470238 1486149 1454664 1413698 1430527 1440869 1591757 1665280 1767161 2053893 1933937 2027464 2099753 2198443 2164068 2231927 2401732 2738962 3095704 3319068

Secondary education, vocational pupils (% female) SE.SEC.ENRL.VO.FE.ZS 25.91155 29.43774 30.47594 30.7183 29.70403 32.24094 32.41712 31.60911 32.47188 36.33943 38.44001 39.63858 41.43861 42.98583 42.42041 43.65733 38.91565 39.25768 39.74822 39.94909 42.44668 42.62412 42.67632 43.23652 42.98695 43.20637 43.30638 42.4147 41.94152 41.45254 41.28418 41.06811 41.51885

School enrollment, secondary (% gross) SE.SEC.ENRR 17.59602 17.9747 18.10866 18.46851 19.06836 20.55394 21.32036 22.06142 23.47667 27.72459 29.87018 33.32403 33.58809 41.04252 46.4443 48.3809 48.25004 45.71995 43.99844 43.30702 43.02472 44.08231 46.92078 49.69974 53.43017 52.81296 54.97717 56.40542 59.51767 61.70837 60.64027 63.8898 71.49924 70.18403 75.05736 77.15272

School enrollment, secondary, female (% gross) SE.SEC.ENRR.FE 12.18953 13.30667 13.12578 13.47373 14.19957 15.95489 16.64564 17.29648 18.62266 22.52309 24.46337 28.22351 28.42077 43.00426 43.32089 41.48235 39.63442 39.12137 38.40092 40.31113 43.1777 45.94359 51.47305 54.40477 56.04948 59.14225 61.46786 60.29889 64.04573 71.67552 69.86863 74.72939 77.24106

School enrollment, secondary, male (% gross) SE.SEC.ENRR.MA 22.85853 22.50248 22.93986 23.31644 23.79942 25.02548 25.86615 26.69728 28.20076 32.80112 35.15675 38.31877 38.65311 53.64792 53.07526 49.8652 48.26427 47.39746 47.54211 47.76547 50.57499 53.36497 54.11706 55.53371 56.75145 59.88245 61.94189 60.97142 63.73867 71.32831 70.48986 75.37528 77.06715

School enrollment, secondary (% net) SE.SEC.NENR 15.79331 16.13336 16.64782 17.98722 18.85152 19.19047 20.39909 41.23934 41.24583 46.67883 49.08716 50.12947 52.90949 54.75645 55.97764 58.72573 65.7225 64.51148 65.13838 67.2825

School enrollment, secondary, female (% net) SE.SEC.NENR.FE 11.84415 12.07806 12.65847 14.25428 15.00677 15.505 16.6662 38.15222 45.49446 48.72346 49.82236 52.57939 54.55585 55.68681 58.87886 65.89253 64.25595 64.5923 67.02053

School enrollment, secondary, male (% net) SE.SEC.NENR.MA 19.62225 20.06944 20.52432 21.61667 22.59022 22.7761 24.03206 44.26598 47.83154 49.44077 50.42803 53.23023 54.95123 56.25975 58.57732 65.55762 64.75926 65.66771 67.53624

School enrollment, secondary, private (% of total secondary) SE.SEC.PRIV.ZS 42.70587 42.70359 42.72116 42.93786 42.94235 44.16943 43.48848 48.77377 42.88536 43.27081 41.83039

Progression to secondary school, female (%) SE.SEC.PROG.FE.ZS 62.57123 78.85503 82.80925 83.52443 78.28921 88.85369 98.02667 93.00364 92.65643 89.89653

Progression to secondary school, male (%) SE.SEC.PROG.MA.ZS 72.27568 77.16381 80.20934 83.51766 78.63077 88.12996 99.27885 86.47334 91.05989 89.39663

Progression to secondary school (%) SE.SEC.PROG.ZS 30.02458 52.26019 50.75131 52.6332 54.74265 67.45868 78.00011 81.49246 83.52099 78.4617 88.48776 98.66283 89.64626 91.83875 89.64311

Repeaters, secondary, female (% of female enrollment) SE.SEC.REPT.FE.ZS 0.70038 0.70748 0.65079 0.62453 0.56408 0.65054 0.32192 0.18058 0.15235 0.19787 0.20096 0.18917 0.28034 0.35661 0.27795 0.33212 0.40114 0.31526

Repeaters, secondary, male (% of male enrollment) SE.SEC.REPT.MA.ZS 1.20941 1.2571 1.1363 1.19135 1.07873 0.98371 1.12793 0.58244 0.57677 0.49363 0.65338 0.60176 0.70769 0.66611 0.62607 0.59372 0.79658 0.78722

Repeaters, secondary, total (% of total enrollment) SE.SEC.REPT.ZS 2.90693 2.8344 2.42904 2.19871 1.98804 1.99955 1.95969 2.33559 1.72516 1.79927 1.81648 1.63243 1.66529 1.88014 1.26613 1.0802 0.98187 1.00949 0.91594 0.93373 0.84837 0.83064 0.75789 0.38561 0.36619 0.34602 0.42785 0.39561 0.49407 0.5099 0.45022 0.46196 0.59688 0.54746

Secondary education, teachers SE.SEC.TCHR 187776 193604 216732 220820 222002 238045 385186 403422 469631 567223 620857 764294 788929 870455 806384 793558 806396 864587 917697 986896 903706 1040081 1114798 1115098 1151624 1281677 1369424 1434874 1531383 1550054 1640533

Secondary education, teachers, female SE.SEC.TCHR.FE 45079 47153 47956 52921 248436 256749 288166 282717 276943 288355 321859 362176 376380 417499 442761 456491 458983 557070 701550 723525 737154 786985

Secondary education, teachers (% female) SE.SEC.TCHR.FE.ZS 20.79942 21.35359 21.60161 22.23151 32.50529 32.54399 33.10522 35.05985 34.8989 35.75849 37.22691 39.46575 41.6485 40.14101 39.7167 40.9373 39.85528 43.46415 48.89279 47.24651 47.55667 47.9713

School enrollment, tertiary (% gross) SE.TER.ENRR 2.75708 2.71332 2.6539 2.57923 2.49664 2.50078 2.53494 2.49087 2.59852 3.4065 3.74788 3.78273 4.00607 5.26098 6.03194 7.45455 6.74326 7.79307 8.23123 9.27127 9.24021 10.36804 11.16062 11.37587 14.71884 14.04357 14.60953 15.67749 16.07159 16.52611 16.50521 17.27301 20.19529 22.35115 23.11997

School enrollment, tertiary, female (% gross) SE.TER.ENRR.FE 1.35765 1.47361 1.46737 1.44511 2.38919 2.60092 3.31982 3.9426 7.35734 8.63161 8.01125 13.7824 12.14599 13.53801 13.89069 14.21506 15.75936 17.20067 19.34409 21.87742 21.79132

School enrollment, tertiary, male (% gross) SE.TER.ENRR.MA 4.21667 3.98848 3.85451 3.59156 5.13944 5.37421 7.1518 8.06905 11.09092 13.6443 14.67874 15.63905 15.90667 15.66215 17.43289 17.89481 17.23632 17.34396 21.03049 22.81591 24.42267

Tertiary education, teachers (% female) SE.TER.TCHR.FE.ZS 17.15993 17.92142 18.03702 8.08409 40.76209 39.70033 39.31153 39.46638 40.88699 40.45371 40.1547 40.78733

Expenditure per student, primary (% of GDP per capita) SE.XPD.PRIM.PC.ZS 8.18183 0 0 0 0 0 11.49085 11.33554 13.4198 10.5384

Expenditure per student, secondary (% of GDP per capita) SE.XPD.SECO.PC.ZS 46.80311 6.54674 12.15618 10.66808 11.56892 10.62635 9.49279 9.40331 10.93107 8.75897

Expenditure per student, tertiary (% of GDP per capita) SE.XPD.TERT.PC.ZS 172.96124 23.50263 26.9875 30.02019 27.59229 23.71581 16.93602 20.95239 23.0939

Public spending on education, total (% of government expenditure) SE.XPD.TOTL.GB.ZS 11.45362 14.27725 15.98421 14.17022 14.87495 17.2157 15.87477 14.56848 21.08274 17.14149

Public spending on education, total (% of GDP) SE.XPD.TOTL.GD.ZS 2.64225 0.82737 0.99855 1.00435 1.07855 1.07208 2.46003 2.64569 3.218 2.74847 2.87282 3.59965 3.04425 2.9019 3.52513 2.99923

Female legislators, senior officials and managers (% of total) SG.GEN.LSOM.ZS 22 19.7222222222 22.0991253644

Proportion of seats held by women in national parliaments (%) SG.GEN.PARL.ZS 12.4 11.4 11.4 8 8 8 8 11.3 11.3 11.3 11.6 11.6 17.9 18 18.2 18.2

Condom use, population ages 15-24, female (% of females ages 15-24) SH.CON.1524.FE.ZS 1.2

Condom use, population ages 15-24, male (% of males ages 15-24) SH.CON.1524.MA.ZS

Number of infant deaths SH.DTH.IMRT 505000 500000 493000 488000 486000 485000 485000 482000 478000 473000 467000 456000 445000 434000 424000 416000 406000 398000 391000 385000 379000 370000 361000 352000 341000 328000 312000 296000 279000 264000 251000 241000 233000 225000 219000 211000 202000 189000 179000 171000 166000 163000 161000 159000 155000 151000 143000 134000 125000 116000 109000 104000

Number of under-five deaths SH.DTH.MORT 832000 829000 820000 812000 808000 807000 803000 794000 783000 770000 756000 738000 719000 701000 682000 667000 650000 635000 622000 610000 598000 583000 567000 549000 530000 508000 485000 459000 432000 408000 386000 366000 350000 334000 322000 307000 292000 273000 256000 243000 233000 226000 219000 214000 207000 199000 189000 177000 165000 152000 143000 134000

Number of neonatal deaths SH.DTH.NMRT 140000 135000 130000 125000 121000 117000 113000 109000 105000 103000 101000 99000 96000 93000 89000 86000 83000 79000 76000 72000 69000 66000

Women's share of population ages 15+ living with HIV (%) SH.DYN.AIDS.FE.ZS 29.8

Prevalence of HIV, total (% of population ages 15-49) SH.DYN.AIDS.ZS 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2 0.2 0.2 0.2 0.3

Mortality rate, female child (per 1,000 female children age one) SH.DYN.CHLD.FE 41.7 34.8 26.5 19.5 11 12

Mortality rate, male child (per 1,000 male children age one) SH.DYN.CHLD.MA 36.6 36 29.9 19.2 12.9 13

Mortality rate, under-5 (per 1,000 live births) SH.DYN.MORT 216.4 210.8 204.9 199.7 195.4 191.3 186.8 181.1 175.2 169.1 163.5 157.5 152.1 147.3 142.7 138.5 134.1 130.1 126.4 123.2 119.9 116.1 112.1 108.1 104.3 100.3 96.5 92.7 88.7 85.1 81.6 78 74.5 71.1 68.3 65.3 62.6 59.4 56.7 54.5 52.5 50.5 48.2 46 43.9 42 40.1 38.2 36.8 34.8 33.3 31.8

Mortality rate, neonatal (per 1,000 live births) SH.DYN.NMRT 29.2 28.5 27.7 26.9 26.2 25.4 24.8 23.9 23.2 22.6 22 21.4 20.8 20.1 19.4 18.8 18.2 17.6 17.1 16.4 15.9 15.3

Improved water source, rural (% of rural population with access) SH.H2O.SAFE.RU.ZS 61 62 63 63 64 65 65 66 66 67 68 68 69 70 70 71 72 72 73 73 74

Improved water source, urban (% of urban population with access) SH.H2O.SAFE.UR.ZS 91 91 91 91 91 91 91 91 91 91 91 91 91 91 91 91 91 91 92 92 92

Improved water source (% of population with access) SH.H2O.SAFE.ZS 70 71 72 72 73 74 75 76 76 77 78 78 78 79 79 80 80 80 81 81 82

Children (0-14) living with HIV SH.HIV.0014

Prevalence of HIV, female (% ages 15-24) SH.HIV.1524.FE.ZS 0.2

Prevalence of HIV, male (% ages 15-24) SH.HIV.1524.MA.ZS 0.2

Antiretroviral therapy coverage (% of people with advanced HIV infection) SH.HIV.ARTC.ZS 24 24

Immunization, DPT (% of children ages 12-23 months) SH.IMM.IDPT 1 1 6 13 27 47 50 54 57 60 62 64 66 68 69 72 73 72 72 71 71 70 71 71 72 72 72 58 62 63 63

Immunization, measles (% of children ages 12-23 months) SH.IMM.MEAS 6 13 26 45 48 51 54 58 61 65 68 66 63 79 77 76 75 74 73 72 74 76 77 79 82 80 82 89 89

Hospital beds (per 1,000 people) SH.MED.BEDS.ZS 0.740457058 0.6546000242 0.8183000088 0.5568000078 0.7026000023 0.665199995 0.6686000228 0.6650000215 0.6575999856 0.6600999832 0.6 0.6 0.6

Community health workers (per 1,000 people) SH.MED.CMHW.P3 0.001

Nurses and midwives (per 1,000 people) SH.MED.NUMW.P3 0.82 2.041 2.041

Physicians (per 1,000 people) SH.MED.PHYS.ZS 0.0206178986 0.0315454416 0.0373000018 0.0370999984 0.0854000002 0.0803000033 0.1062999964 0.1422999948 0.1441999972 0.1476999968 0.1501999944 0.1615999937 0.1599999964 0.162 0.13 0.13 0.288 0.288

Notified cases of malaria (per 100,000 people) SH.MLR.INCD 1645

Use of insecticide-treated bed nets (% of under-5 population) SH.MLR.NETS.ZS 0.1000000015 3.3

Children with fever receiving antimalarial drugs (% of children under age 5 with fever) SH.MLR.TRET.ZS 0.7 0.8

Number of maternal deaths SH.MMR.DTHS 29000 19000 16000 12000 9600

Lifetime risk of maternal death (1 in: rate varies by country) SH.MMR.RISK 49 81 110 150 210

Lifetime risk of maternal death (%) SH.MMR.RISK.ZS 2.0222644364 1.2364974455 0.8987045984 0.6599876479 0.4801183337

Smoking prevalence, females (% of adults) SH.PRV.SMOK.FE 5.2 5.101548

Smoking prevalence, males (% of adults) SH.PRV.SMOK.MA 65.6 61.30266

Improved sanitation facilities (% of population with access) SH.STA.ACSN 32 33 34 36 37 38 40 41 42 44 44 45 46 47 49 50 50 51 52 54 54

Improved sanitation facilities, rural (% of rural population with access) SH.STA.ACSN.RU 21 22 23 24 25 26 27 28 29 30 30 31 32 33 34 35 36 37 38 39 39

Improved sanitation facilities, urban (% of urban population with access) SH.STA.ACSN.UR 56 57 58 59 60 60 61 62 63 64 64 65 66 67 68 69 69 70 71 72 73

Pregnant women receiving prenatal care (%) SH.STA.ANVC.ZS 76.3 82.3 89.4 88.3 91.5 88.6 90.38 91.23 92.65 94.51 95.26

ARI treatment (% of children under 5 taken to a health provider) SH.STA.ARIC.ZS 64.4194646634 62.7800042033 68.8 61.2747900164 66.4

Exclusive breastfeeding (% of children under 6 months) SH.STA.BFED.ZS 39.5 32 15.3

Births attended by skilled health staff (% of total) SH.STA.BRTC.ZS 36.3 40.7 31.7 36.5 49.7 43.2 56 66.9 68.4 66.3 71.5 79.4 74.86 82.2

Low-birthweight babies (% of births) SH.STA.BRTW.ZS 9.1 9.7 10.3 9 8.8 11.1

Malnutrition prevalence, weight for age (% of children under 5) SH.STA.MALN.ZS 35.9 31 29.8 27.4 25.8 22.8 24.8 23.4 23 23.1 19.7 24.4 19.6 18.6

Maternal mortality ratio (modeled estimate, per 100,000 live births) SH.STA.MMRT 600 420 340 270 220

Maternal mortality ratio (national estimate, per 100,000 live births) SH.STA.MMRT.NE 307 230

Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding) SH.STA.ORCF.ZS 60.6 56.0351550865 54.3

Prevalence of overweight (% of children under 5) SH.STA.OWGH.ZS 1.5 1.5 5.1 11.2 12.3

Malnutrition prevalence, height for age (% of children under 5) SH.STA.STNT.ZS 42.4 41.6 28.6 40.1 39.2

Prevalence of wasting (% of children under 5) SH.STA.WAST.ZS 5.5 5.4 14.4 14.8 12.3

Tuberculosis treatment success rate (% of registered cases) SH.TBS.CURE.ZS 94 91 81 54 58 50 87 86 86 87 90 91 91 91 91 91 90

Tuberculosis case detection rate (%, all forms) SH.TBS.DTEC.ZS 20 16 25 16 12 8.7 6 5.3 9.5 16 19 21 35 39 47 56 61 61 65 65 66 70

Incidence of tuberculosis (per 100,000 people) SH.TBS.INCD 206 205 205 205 205 205 204 204 204 204 204 204 204 202 201 199 197 195 193 191 189 187

Newborns protected against tetanus (%) SH.VAC.TTNS.ZS 87 83 79

Outpatient visits per capita SH.VST.OUTP

External resources for health (% of total expenditure on health) SH.XPD.EXTR.ZS 0 0 0 0 0 0 0 0.9637568019 1.3050322464 1.4086251509 1.8299334924 1.5061388659 1.3844309451 1.5346228456 1.379786609 1.3247195656

Out-of-pocket health expenditure (% of total expenditure on health) SH.XPD.OOPC.TO.ZS 46.6190622904 46.3553275162 47.2741108331 47.9866893976 48.6025365834 46.217885309 41.5260721281 44.6751901614 44.4127067264 44.7094995949 33.6566972902 43.1354490308 40.6413346096 40.2952795759 40.5046702841 38.2535166293

Out-of-pocket health expenditure (% of private expenditure on health) SH.XPD.OOPC.ZS 72.5085382593 72.5525830539 72.6115619118 73.1518372562 73.4569731321 72.8958959603 73.5170320075 72.1687287042 74.109484205 73.87991441 65.3109191019 73.6304327879 74.9486310817 75.2852397104 75.1534865485 75.1296908169

Health expenditure per capita (current US$) SH.XPD.PCAP 20.8581049043 23.5581748107 21.2416705688 10.0806530374 16.1278300076 15.842502523 17.3257985184 20.751164852 27.8414908964 28.0962834906 26.8435713499 39.6563677393 50.5679681883 53.3609357782 56.3513708821 76.8932152282

Health expenditure per capita, PPP (constant 2005 international $) SH.XPD.PCAP.PP.KD 44.7130399627 49.2465910978 49.8138765451 46.9382985154 52.3467749322 46.7686494713 55.8359410095 58.3092026563 69.7719518061 70.6260812424 66.2157256058 83.5555896077 98.3838594954 95.2639452365 100.4436931358 112.0697208962

Health expenditure, private (% of GDP) SH.XPD.PRIV.ZS 1.156402564 1.1704936589 1.149409316 1.259669303 1.4048931605 1.2495078198 1.269091283 1.384352982 1.5184230858 1.4328771925 1.0607679229 1.4651509835 1.4747882761 1.3151657765 1.3368802317 1.3291610079

Health expenditure, public (% of total health expenditure) SH.XPD.PUBL 35.7054170315 36.1079570637 34.8945132312 34.4012519747 33.8353671394 36.5974110063 43.5150318312 38.0961935126 40.0714939486 39.4835525298 48.4669673111 41.4162766705 45.7744137244 46.4765208547 46.104070291 49.083356775

Health expenditure, public (% of government expenditure) SH.XPD.PUBL.GX.ZS 4.1102619007 4.2714221708 3.3200126581 3.4219495792 3.7436288043 4.5260174928 4.7124118633 4.8174936681 5.1456332293 5.0243967826 5.4310377103 5.1845546444 6.4919464782 5.7332594998 6.8367120516 7.7523856609

Health expenditure, public (% of GDP) SH.XPD.PUBL.ZS 0.6421977389 0.6614929315 0.6160475956 0.6605949412 0.718436328 0.7212442262 0.9776857342 0.8519440416 1.0153011564 0.9348711675 0.9976553205 1.0358013292 1.2449393975 1.1420096491 1.1436043595 1.2813037119

Health expenditure, total (% of GDP) SH.XPD.TOTL.ZS 1.7986003029 1.8319865904 1.7654569116 1.9202642442 2.1233294885 1.9707520459 2.2467770171 2.2362970236 2.5337242422 2.36774836 2.0584232434 2.5009523127 2.7197276736 2.4571754257 2.4804845912 2.6104647198

Income share held by second 20% SI.DST.02ND.20 12.93 13.18 13.19 13.15 12.67 13.35 13.02 12.03

Income share held by third 20% SI.DST.03RD.20 16.88 16.84 16.83 16.74 16.33 16.83 16.53 15.83

Income share held by fourth 20% SI.DST.04TH.20 22.05 21.83 21.69 21.53 21.28 21.36 21.3 21.04



Income share held by lowest 10% SI.DST.FRST.10 3.74 4.07 4.17 4.22 4 4.25 4.29 3.67

Income share held by lowest 20% SI.DST.FRST.20 8.68 9.36 9.39 9.47 9.01 9.58 9.53 8.34

Poverty headcount ratio at $2 a day (PPP) (% of population) SI.POV.2DAY 88.4 91.1 84.59 84.57 77.01 81.55 66.97 53.8 63.35 56.13 54.4 52.68 46.12

Poverty headcount ratio at $1.25 a day (PPP) (% of population) SI.POV.DDAY 62.84 68.16 54.27 54.4 43.38 47.7 29.31 21.44 28.63 24.2 22.64 20.42 18.06

Poverty gap at $2 a day (PPP) (%) SI.POV.GAP2 42.83 45.38 36.97 37.07 30.67 33.26 22.44 17.28 21.97 18.57 17.67 16.52 14.29

Poverty gap at $1.25 a day (PPP) (%) SI.POV.GAPS 21.36 23.14 15.62 15.67 11.44 12.52 6.03 4.56 6.74 5.16 4.73 4.09 3.31

GINI index SI.POV.GINI 30.47 29.27 29.19 29.31 31.33 28.99 29.74 34.01

Poverty gap at national poverty line (%) SI.POV.NAGP 3.1 3 2.9 3.7 5.1 2.8 2.5 2.2 2.1

Poverty headcount ratio at national poverty line (% of population) SI.POV.NAHC 17.6 23.4 18.2 17.4 16.7 16 17.8 16.6 15.4 14.2 13.3 12.5

Poverty gap at rural poverty line (%) SI.POV.RUGP 3.6 3.6 3.7 4.6 6.5 3.4 3.1 2.8 2.6

Poverty headcount ratio at rural poverty line (% of rural population) SI.POV.RUHC 19.8 26 21.1 20.2 20.1 20 21.8 20.4 18.9 17.4 16.6 15.7

Poverty gap at urban poverty line (%) SI.POV.URGP 2.4 2.3 2.1 2.8 3.6 2.1 1.9 1.6 1.5

Poverty headcount ratio at urban poverty line (% of urban population) SI.POV.URHC 13.6 19.4 14.5 13.6 12.1 11.7 13.5 12.5 11.6 10.7 9.9 9.2

Child employment in agriculture, female (% of female economically active children ages 7-14) SL.AGR.0714.FE.ZS 48.72

Child employment in agriculture, male (% of male economically active children ages 7-14) SL.AGR.0714.MA.ZS 65.5

Child employment in agriculture (% of economically active children ages 7-14) SL.AGR.0714.ZS 57.85

Employees, agriculture, female (% of female employment) SL.AGR.EMPL.FE.ZS 54.2000007629 53.7999992371 53.5999984741 55.7000007629 55.7000007629 56.7999992371 57 56.2999992371 54.5 56.5 51.2000007629 47.2999992371 43.7999992371 45 42 46 44.4000015259 46.7000007629 44.5 45.4000015259 47.5 44.5999984741 44.2999992371 41.0999984741 41.4000015259 39.9000015259 38.7999992371 38

Employees, agriculture, male (% of male employment) SL.AGR.EMPL.MA.ZS 57.5 55.2000007629 55.2999992371 54.7000007629 54.5999984741 55.4000015259 55.7000007629 55.5999984741 53.5 53.7999992371 50.2000007629 45.4000015259 44.0999984741 43.4000015259 40.7000007629 44.2999992371 43.2999992371 44.4000015259 43.2999992371 43.7000007629 45.7000007629 42.5999984741 43.7999992371 42.5 41.0999984741 40.5999984741 40.2000007629 39

Employment in agriculture (% of total employment) SL.AGR.EMPL.ZS 56.4000015259 54.7000007629 54.7000007629 55.0999984741 55 55.9000015259 56.2000007629 55.9000015259 53.9000015259 54.9000015259 50.5999984741 46.0999984741 44 44 41.2000007629 45 43.2000007629 45.2999992371 43.7999992371 44.2999992371 46.4000015259 43.2999992371 44 42 41.2000007629 40.2999992371 39.7000007629 38.2999992371

Employment to population ratio, ages 15-24, female (%) SL.EMP.1524.SP.FE.ZS 36.7999992371 36.9000015259 37.2999992371 36.5 35.2000007629 36.0999984741 34.9000015259 31.5 35 35.7000007629 34.2999992371 31.5 31.2000007629 30.2000007629 27.6000003815 28.7000007629 31.2000007629 31.5 31.8999996185 30.6000003815

Employment to population ratio, ages 15-24, male (%) SL.EMP.1524.SP.MA.ZS 55 56.7000007629 53.4000015259 49.0999984741 50.5999984741 54.2999992371 53.7999992371 45.9000015259 55.9000015259 54.5999984741 53.5999984741 49.2000007629 49.4000015259 48.2000007629 46.0999984741 46.4000015259 48.2000007629 48.7999992371 49 48.9000015259

Employment to population ratio, ages 15-24, total (%) SL.EMP.1524.SP.ZS 46 46.9000015259 45.4000015259 42.9000015259 43 45.2999992371 44.4000015259 38.7999992371 45.5999984741 45.2000007629 44.0999984741 40.4000015259 40.4000015259 39.2999992371 37 37.5999984741 39.7999992371 40.2999992371 40.5 39.9000015259

Share of women employed in the nonagricultural sector (% of total nonagricultural employment) SL.EMP.INSV.FE.ZS 29.2 30.1 30.4 30.3 30.1 29 29.6 30 31.3 31.1 31.7 30.7 29.7 29.5 29 30.3 31.3 30.9 32.4

Employers, female (% of employment) SL.EMP.MPYR.FE.ZS 1.1000000238 1.1000000238 1 1.1000000238 1.2000000477 1.1000000238 1.3999999762 1.2999999523

Employers, male (% of employment) SL.EMP.MPYR.MA.ZS 4.1999998093 4.0999999046 3.9000000954 4.3000001907 4 4 3.7999999523 3.9000000954

Employers, total (% of employment) SL.EMP.MPYR.ZS 1.7000000477 1.7000000477 2.9000000954 2.2999999523 3.0999999046 3 2.9000000954 3.2000000477 3 3 2.9000000954 2.9000000954 2.9000000954

Self-employed, female (% of females employed) SL.EMP.SELF.FE.ZS 70.6999969482 71.1999969482 72.4000015259 71.5 68.5999984741 68 69.3000030518 68.3000030518

Self-employed, male (% of males employed) SL.EMP.SELF.MA.ZS 64.4000015259 65.8000030518 67.0999984741 66.1999969482 65.3000030518 65.0999984741 64.0999984741 65.5999984741

Self-employed, total (% of total employed) SL.EMP.SELF.ZS 64.5 67.0999984741 66.9000015259 67.1999969482 66.6999969482 67.6999969482 69 68.0999984741 66.4000015259 66.0999984741 66 67.4000015259 66.5999984741

Employment to population ratio, 15+, female (%) SL.EMP.TOTL.SP.FE.ZS 47.5 47 47.9000015259 48.2000007629 47.7999992371 48.4000015259 46.5 46.5999984741 47.4000015259 47.0999984741 45.2999992371 44 43.4000015259 43.5 42.9000015259 43.7999992371 45.2000007629 46.0999984741 46.7000007629 46.5999984741

Employment to population ratio, 15+, male (%) SL.EMP.TOTL.SP.MA.ZS 78.9000015259 79.5999984741 79.8000030518 79.1999969482 79.5 81.0999984741 79.5999984741 77.1999969482 79.5999984741 79.8000030518 78.5 78.0999984741 78.4000015259 78.1999969482 77.1999969482 77.5999984741 77.6999969482 77.5999984741 78 79

Employment to population ratio, 15+, total (%) SL.EMP.TOTL.SP.ZS 63.0999984741 63.2000007629 63.7000007629 63.5999984741 63.5 64.5999984741 62.9000015259 61.7999992371 63.4000015259 63.2999992371 61.7999992371 60.9000015259 60.7999992371 60.7000007629 59.9000015259 60.5 61.2999992371 61.7000007629 62.2000007629 62.5999984741

Vulnerable employment, female (% of female employment) SL.EMP.VULN.FE.ZS 69.5999984741 70.0999984741 71.4000015259 70.4000015259 67.4000015259 66.9000015259 67.9000015259 67

Vulnerable employment, male (% of male employment) SL.EMP.VULN.MA.ZS 60.0999984741 61.7000007629 63.2000007629 61.9000015259 61.2000007629 61.0999984741 60.2999992371 61.7999992371

Vulnerable employment, total (% of total employment) SL.EMP.VULN.ZS 62.7999992371 65.4000015259 64 64.9000015259 63.7000007629 64.6999969482 66.0999984741 64.9000015259 63.4000015259 63.0999984741 63.0999984741 64.4000015259 63.7000007629

Wage and salaried workers, female (% of females employed) SL.EMP.WORK.FE.ZS 29.2999992371 28.7999992371 27.6000003815 28.5 31.3999996185 32 30.7000007629 31.7000007629

Wage and salary workers, male (% of males employed) SL.EMP.WORK.MA.ZS 35.5999984741 34.2000007629 32.9000015259 33.7999992371 34.7000007629 34.9000015259 35.9000015259 34.4000015259

Wage and salaried workers, total (% of total employed) SL.EMP.WORK.ZS 35.5 32.9000015259 33.0999984741 32.7999992371 33.2999992371 32.2999992371 31 31.8999996185 33.5999984741 33.9000015259 34 32.5999984741 33.4000015259

Contributing family workers, female (% of females employed) SL.FAM.WORK.FE.ZS 38.5999984741 36.2000007629 41.5 38.5 37.5 34.0999984741 33.5999984741 32.4000015259

Contributing family workers, male (% of males employed) SL.FAM.WORK.MA.ZS 8.1000003815 7 8.5 7.5 7.6999998093 7.6999998093 7.8000001907 8.1000003815

Contributing family workers, total (% of total employed) SL.FAM.WORK.ZS 18.5 19.5 18.2999992371 20.1000003815 19.3999996185 17.6000003815 20.2999992371 18.5 18 16.8999996185 17.2999992371 16.8999996185 17.2999992371

GDP per person employed (constant 1990 PPP $) SL.GDP.PCAP.EM.KD 5350 5475 4912 5071 5282 5179 5011 5104 5239 5640 5945 6427 6707 7131 7404 8205 8270 8688 7353 7315 7588 7780 8056 8335 8670 9140 9491 9642 9960 10186 10474 11037

Employees, industry, female (% of female employment) SL.IND.EMPL.FE.ZS 13.1000003815 14.5 12.1999998093 9.3000001907 9.3999996185 9.1000003815 12 12.3999996185 12.8000001907 12.8000001907 14.3999996185 16.2000007629 16 15.8999996185 16.2999992371 13.8999996185 13 15 16.1000003815 15.8000001907 15.1999998093 14.1999998093 15.8999996185 15.3000001907 15 14.6999998093 14.8999996185 15

Employees, industry, male (% of male employment) SL.IND.EMPL.MA.ZS 13.1000003815 15.1999998093 14.1000003815 7.5 7.5 7.6999998093 14.1000003815 14.6000003815 15.6000003815 14.8999996185 16.5 20.2000007629 19.7000007629 19.5 20.7000007629 17.7999992371 19.2999992371 19 20.2999992371 20.3999996185 19.1000003815 20.1000003815 20.2999992371 20.2999992371 21 21.2000007629 21.2000007629 22

Employment in industry (% of total employment) SL.IND.EMPL.ZS 13.1000003815 14.8999996185 13.3999996185 8.1999998093 8.3000001907 8.3000001907 13.3000001907 13.6999998093 14.5 14.1000003815 15.6999998093 18.7000007629 18.3999996185 18.1000003815 19 16.2999992371 17.7999992371 17.3999996185 18.7000007629 18.7999992371 17.7000007629 18 18.7000007629 18.6000003815 18.7999992371 18.7999992371 18.7999992371 19.2999992371

Child employment in manufacturing, female (% of female economically active children ages 7-14) SL.MNF.0714.FE.ZS 10.74

Child employment in manufacturing, male (% of male economically active children ages 7-14) SL.MNF.0714.MA.ZS 3.28

Child employment in manufacturing (% of economically active children ages 7-14) SL.MNF.0714.ZS 6.68

Child employment in services, female (% of female economically active children ages 7-14) SL.SRV.0714.FE.ZS 32.37

Child employment in services, male (% of male economically active children ages 7-14) SL.SRV.0714.MA.ZS 22.64

Child employment in services (% of economically active children ages 7-14) SL.SRV.0714.ZS 27.07

Employees, services, female (% of female employment) SL.SRV.EMPL.FE.ZS 32.7000007629 31.7999992371 34 34.7000007629 34.9000015259 28.8999996185 30.7999992371 31.1000003815 32.4000015259 30.5 34.2000007629 36.2000007629 40.0999984741 39.0999984741 41.7000007629 40 42.5999984741 38.2999992371 39.4000015259 38.7999992371 37.2999992371 41.2000007629 39.7000007629 43.5 43.5 45.2999992371 46.2999992371 47

Employees, services, male (% of male employment) SL.SRV.EMPL.MA.ZS 29.3999996185 29.7000007629 30.6000003815 37.7000007629 37.9000015259 31.3999996185 30.2000007629 29.7000007629 30.7000007629 31.2000007629 33.0999984741 34.2000007629 36.2000007629 37.0999984741 38.5999984741 38 37.5 36.7000007629 36.4000015259 35.7999992371 35.0999984741 37.2999992371 35.9000015259 37.0999984741 37.7999992371 38.0999984741 38.5999984741 40

Employment in services (% of total employment) SL.SRV.EMPL.ZS 30.3999996185 30.3999996185 31.7999992371 36.5 36.7000007629 30.3999996185 30.3999996185 30.2000007629 31.3999996185 30.8999996185 33.5 35 37.5999984741 37.9000015259 39.7999992371 38.7999992371 38.9000015259 37.2999992371 37.5 36.9000015259 35.9000015259 38.7000007629 37.2000007629 39.2999992371 39.9000015259 40.7999992371 41.5 42.2999992371

Children in employment, female (% of female children ages 7-14) SL.TLF.0714.FE.ZS 9.101751 6.2

Children in employment, male (% of male children ages 7-14) SL.TLF.0714.MA.ZS 8.777495 7

Children in employment, study and work, female (% of female children in employment, ages 7-14) SL.TLF.0714.SW.FE.ZS

Children in employment, study and work, male (% of male children in employment, ages 7-14) SL.TLF.0714.SW.MA.ZS

Children in employment, study and work (% of children in employment, ages 7-14) SL.TLF.0714.SW.ZS 75.05071 89

Children in employment, work only, female (% of female children in employment, ages 7-14) SL.TLF.0714.WK.FE.ZS

Children in employment, work only, male (% of male children in employment, ages 7-14) SL.TLF.0714.WK.MA.ZS

Children in employment, work only (% of children in employment, ages 7-14) SL.TLF.0714.WK.ZS 24.94929 11

Children in employment, total (% of children ages 7-14) SL.TLF.0714.ZS 8.934132 6.6

Labor force participation rate for ages 15-24, female (%) SL.TLF.ACTI.1524.FE.ZS 42.0999984741 41.2000007629 40.4000015259 41.5 42.5999984741 42.7999992371 43 41.7000007629 39.0999984741 43.4000015259 43.5999984741 43.9000015259 44.2000007629 44.2000007629 44.2000007629 44.2000007629 43.5 42.7999992371 42.0999984741 41.2999992371 40.7000007629 40.7000007629

Labor force participation rate for ages 15-24, male (%) SL.TLF.ACTI.1524.MA.ZS 60.2999992371 61 61.5999984741 58.9000015259 56 59.5999984741 62.7999992371 62.4000015259 55 67.1999969482 66.5 65.6999969482 64.8000030518 64.8000030518 64.8000030518 64.6999969482 63.9000015259 63.0999984741 62.2000007629 62.5 61.5 61.0999984741

Labor force participation rate for ages 15-24, total (%) SL.TLF.ACTI.1524.ZS 51.2999992371 51.2000007629 51.0999984741 50.2000007629 49.4000015259 51.2999992371 53 52.0999984741 47.0999984741 55.4000015259 55.2000007629 55 54.5999984741 54.5999984741 54.5999984741 54.5999984741 53.7999992371 53.0999984741 52.2999992371 52 51.2000007629 51

Labor force participation rate, female (% of female population ages 15-64) SL.TLF.ACTI.FE.ZS 51.9000015259 51 50.0999984741 51.4000015259 52.7000007629 52.7999992371 53 51 51.5 52.7000007629 52.2000007629 51.7000007629 51.2000007629 51.5 51.7000007629 52 52.4000015259 52.7999992371 53.2000007629 53.2000007629 53.2000007629

Labor force participation rate, male (% of male population ages 15-64) SL.TLF.ACTI.MA.ZS 82.5999984741 82.9000015259 83.3000030518 83.8000030518 83.6999969482 85 86.0999984741 84.8000030518 82.8000030518 86.5 86.6999969482 86.6999969482 86.8000030518 87 87.1999969482 87.4000015259 87.0999984741 86.5999984741 86.0999984741 86.4000015259 86.3000030518

Labor force participation rate, total (% of total population ages 15-64) SL.TLF.ACTI.ZS 67.1999969482 66.9000015259 66.5999984741 67.5 68.1999969482 68.9000015259 69.5 67.8000030518 67.1999969482 69.5999984741 69.4000015259 69.1999969482 69 69.1999969482 69.4000015259 69.6999969482 69.6999969482 69.6999969482 69.5999984741 69.8000030518 69.6999969482

Labor participation rate, female (% of female population ages 15+) SL.TLF.CACT.FE.ZS 50.2000007629 49.2999992371 48.5 49.5999984741 50.7000007629 50.9000015259 51.0999984741 49.2999992371 49.7000007629 50.9000015259 50.4000015259 49.9000015259 49.4000015259 49.5999984741 49.7999992371 50 50.2999992371 50.7000007629 51 51.0999984741 51

Ratio of female to male labor participation rate (%) SL.TLF.CACT.FM.ZS 61.8988923643 60.4907966099 59.2909513332 60.3406329873 61.8292692231 61.1044413699 60.5450207942 59.326113288 61.1316099598 60.0944549703 59.4339619246 58.8443393044 58.2547166841 58.3529393813 58.4507054235 58.6166450307 59.1764696907 60.0000009029 60.7142857143 60.6168405982 60.5700734542

Labor participation rate, male (% of male population ages 15+) SL.TLF.CACT.MA.ZS 81.0999984741 81.5 81.8000030518 82.1999969482 82 83.3000030518 84.4000015259 83.0999984741 81.3000030518 84.6999969482 84.8000030518 84.8000030518 84.8000030518 85 85.1999969482 85.3000030518 85 84.5 84 84.3000030518 84.1999969482

Labor participation rate, total (% of total population ages 15+) SL.TLF.CACT.ZS 65.5999984741 65.3000030518 65 65.8000030518 66.3000030518 67 67.5999984741 66.0999984741 65.4000015259 67.5999984741 67.4000015259 67.1999969482 67 67.0999984741 67.3000030518 67.5 67.5 67.4000015259 67.3000030518 67.5 67.4000015259

Part time employment, female (% of total female employment) SL.TLF.PART.FE.ZS 37.7999992371 36.5 39 37.7999992371 33.0999984741 31.3999996185 31.7000007629 31

Part time employment, male (% of total male employment) SL.TLF.PART.MA.ZS 20.6000003815 19.7000007629 22.6000003815 22.1000003815 18.5 16.7999992371 18.1000003815 16.7000007629

Part time employment, female (% of total part time employment) SL.TLF.PART.TL.FE.ZS 46.5 46.7999992371 45.5 45.2000007629 46.5 46.7999992371 43.5999984741 44.2999992371

Part time employment, total (% of total employment) SL.TLF.PART.ZS 26.1000003815 25.1000003815 27.8999996185 27.2999992371 23.2000007629 21.3999996185 22.2000007629 21

Labor force with primary education, female (% of female labor force) SL.TLF.PRIM.FE.ZS 57.7000007629 50.9000015259 46.7000007629 22.1000003815 51 51.0999984741 51.5999984741 56.0999984741 55 55.5999984741 53.2999992371 53.9000015259 51.5999984741

Labor force with primary education, male (% of male labor force) SL.TLF.PRIM.MA.ZS 57.5 54.4000015259 53.0999984741 31.7000007629 55.4000015259 55.4000015259 56.2000007629 59.4000015259 58.2000007629 59.5999984741 56.7999992371 57.5 54.5999984741

Labor force with primary education (% of total) SL.TLF.PRIM.ZS 57.5999984741 52.5999984741 50.5999984741 27.5 53.2000007629 53.2000007629 54 57.7000007629 56.4000015259 57.5999984741 55.0999984741 55.7000007629 53.5

Labor force with secondary education, female (% of female labor force) SL.TLF.SECO.FE.ZS 12.1000003815 13.6999998093 15.1999998093 7.5999999046 16 15.6999998093 15.8999996185 16.5 16.8999996185 17.8999996185 19.1000003815 18 19

Labor force with secondary education, male (% of male labor force) SL.TLF.SECO.MA.ZS 14.8000001907 18.8999996185 20.2999992371 8.1000003815 22.2000007629 21.5 21.6000003815 22.6000003815 22.7000007629 22.8999996185 24.1000003815 22.7000007629 24.2999992371

Labor force with secondary education (% of total) SL.TLF.SECO.ZS 13.3999996185 16.2999992371 18.3999996185 7.8000001907 19.3999996185 19 19.2000007629 20 20.2000007629 20.7000007629 21.8999996185 20.6000003815 22.2999992371

Labor force with tertiary education, female (% of female labor force) SL.TLF.TERT.FE.ZS 12.3999996185 2.2000000477 4 15.1000003815 4.6999998093 5.0999999046 5.1999998093 4.6999998093 5.6999998093 6.4000000954 7.4000000954 7.9000000954 8.6000003815

Labor force with tertiary education, male (% of male labor force) SL.TLF.TERT.MA.ZS 18.2000007629 5 4.3000001907 8.8000001907 4.8000001907 5 4.8000001907 4.5999999046 5.1999998093 5.3000001907 5.5999999046 5.9000000954 6.1999998093

Labor force with tertiary education (% of total) SL.TLF.TERT.ZS 15.1999998093 3 4.1999998093 11.6999998093 4.5999999046 5 4.9000000954 4.5 5.3000001907 5.5999999046 6.1999998093 6.5 7.0999999046

Labor force, female (% of total labor force) SL.TLF.TOTL.FE.ZS 38.5677420083 38.0449257151 37.5959848518 37.9779318598 38.5253030938 38.2723461148 38.0821215925 37.5760570459 38.2892283212 37.9414649603 37.6851989061 37.4281901274 37.1703445578 37.2728137335 37.3207575099 37.3698091365 37.6056930908 37.9738236886 38.2683671449 38.2418684235 38.2339603615

Labor force, total SL.TLF.TOTL.IN 76841491.70064 78446143.039109 80035566.1902135 83003583.5843544 85651502.1007648 88618908.76 91521237.6816671 91570209.0921565 92656874.7905814 97871709.5014144 99627159.9314745 101317022.384121 102945551.789986 104987417.513324 107158686.076268 109313025.525 111122414.808312 112737674.291312 114325144.035913 116407259.694375 117961804.410555

Unemployment, youth female (% of female labor force ages 15-24) SL.UEM.1524.FE.ZS 9.4 6.4 7.7 8.8 8.9 9.1 17 20.5 20.1 26.5 31.5 33.5 37.7 34.3 27.3 25.5 23

Unemployment, youth male (% of male labor force ages 15-24) SL.UEM.1524.MA.ZS 8.7 7.2 8.8 9.1 9 8.6 14.3 17.9 19.7 22.3 25.5 26.9 28.9 27.7 23.8 21.8 21.6

Unemployment, youth total (% of total labor force ages 15-24) SL.UEM.1524.ZS 9 6.9 8.3 9 8.9 8.8 15.4 19 19.9 24.1 27.9 27.9 29.6 32.4 30.4 25.1 23.3 22.2

Long-term unemployment, female (% of female unemployment) SL.UEM.LTRM.FE.ZS

Long-term unemployment, male (% of male unemployment) SL.UEM.LTRM.MA.ZS

Long-term unemployment (% of total unemployment) SL.UEM.LTRM.ZS

Unemployment with primary education, female (% of female unemployment) SL.UEM.PRIM.FE.ZS 34.5 36.2999992371 37.4000015259 42.4000015259 45.9000015259 49.4000015259 49.9000015259 48.2000007629 48.5 47.9000015259 43.2999992371 43.7999992371

Unemployment with primary education, male (% of male unemployment) SL.UEM.PRIM.MA.ZS 36.7000007629 38.2999992371 39 46 46 49.0999984741 49.7999992371 48.7000007629 50.2000007629 49.2999992371 45.2999992371 43

Unemployment with primary education (% of total unemployment) SL.UEM.PRIM.ZS 29.8999996185 23.6000003815 23.2000007629 26.6000003815 37.4000015259 40.4000015259 36.7000007629 33.2999992371 29.8999996185 25.7000007629 26.3999996185 26.5 35.5999984741 37.5999984741 35.7000007629 37.4000015259 38.2999992371 44.5 46 49.2999992371 49.9000015259 48.4000015259 49.4000015259 48.7000007629 44.4000015259 43.4000015259

Unemployment with secondary education, female (% of female unemployment) SL.UEM.SECO.FE.ZS 50.0999984741 48.7999992371 46.7999992371 43.7999992371 33.2999992371 31.8999996185 31.1000003815 33.4000015259 35.2000007629 35.5 38.5999984741 37.4000015259

Unemployment with secondary education, male (% of male unemployment) SL.UEM.SECO.MA.ZS 50.2999992371 49.2000007629 48.5999984741 43.7999992371 40 38.9000015259 38.5999984741 38.4000015259 38.2000007629 40.2999992371 42.2999992371 43.0999984741

Unemployment with secondary education (% of total unemployment) SL.UEM.SECO.ZS 64.4000015259 68.4000015259 68.9000015259 67.5999984741 55.5999984741 54.2999992371 54.9000015259 53.7000007629 54.9000015259 64.3000030518 62.9000015259 61.5 57.0999984741 48.2000007629 50.2000007629 49 47.9000015259 43.7999992371 36.5999984741 35.5 34.9000015259 36 36.7999992371 38 40.7000007629 40.5999984741

Unemployment with tertiary education, female (% of female unemployment) SL.UEM.TERT.FE.ZS 10.6999998093 10 11.3000001907 9.6999998093 7.3000001907 6.4000000954 4.9000000954 6.6999998093 7 7.5 12.5 12.5

Unemployment with tertiary education, male (% of male unemployment) SL.UEM.TERT.MA.ZS 7.5 7.3000001907 7.6999998093 6.5999999046 6.1999998093 5.0999999046 4.1999998093 4.8000001907 5 5 7.3000001907 8.3999996185

Unemployment with tertiary education (% of total unemployment) SL.UEM.TERT.ZS 5.6999998093 7.9000000954 7.8000001907 5.9000000954 7 5.3000001907 8.3000001907 13.1000003815 15.1999998093 10 10.8000001907 12.1000003815 7.3000001907 9.3000001907 9 8.5 9.1999998093 7.9000000954 6.6999998093 5.6999998093 4.5 5.6999998093 5.9000000954 6.1999998093 9.6000003815 10.1999998093

Unemployment, female (% of female labor force) SL.UEM.TOTL.FE.ZS 3.5 2.0999999046 2.7000000477 2.7999999523 2.7000000477 3 5.5 6.0999999046 6.8000001907 6.6999998093 10.6000003815 13 12.8999996185 14.1999998093 13.3999996185 10.8000001907 9.6999998093 8.5 8.7

Unemployment, male (% of male labor force) SL.UEM.TOTL.MA.ZS 2.7000000477 2.2000000477 2.7000000477 2.9000000954 2.7999999523 2.7000000477 3.7999999523 5 6 5.6999998093 6.5999999046 7.5999999046 8.1000003815 9.5 8.5 8.1000003815 7.5999999046 7.5 6.1

Unemployment, total (% of total labor force) SL.UEM.TOTL.ZS 3 2.2000000477 2.7000000477 2.7999999523 2.7999999523 2.7999999523 4.4000000954 4.6999998093 5.5 6.3000001907 6.0999999046 8.1000003815 9.1000003815 9.5 9.8999996185 11.1999998093 10.3000001907 9.1000003815 8.3999996185 7.9000000954 7.1

Emigration rate of tertiary educated (% of total tertiary educated population) SM.EMI.TERT.ZS 5.559114912 2.9191681736

Net migration SM.POP.NETM -361 -103541 -85976 -11177 -63732 -78178 -263782 -719986 -775921 -1184298 -1293089

Refugee population by country or territory of asylum SM.POP.REFG 3278 3156 3530 2402 97 19 61 34 47 162506 122618 73551 28596 233 169 89 301 315 369 798 811

Refugee population by country or territory of origin SM.POP.REFG.OR 7169 6164 6829 7924 8726 9836 11365 8799 9053 2214 9149 8970 9911 16240 27919 34384 34728 20558 19345 18213 16892

International migrant stock, total SM.POP.TOTL 1859466 1475121 1170220 928340 756851 593098 465612 219140 292307 135623 122908

International migrant stock (% of population) SM.POP.TOTL.ZS 2.0223322639 1.4163877076 0.9886809707 0.6922438312 0.5018238822 0.3527841961 0.2525751327 0.1098995123 0.1369790468 0.0596661265 0.0512392212

Prevalence of undernourishment (% of population) SN.ITK.DEFC.ZS 19.9 17.8 15.1 11.9 8.6

Depth of hunger (kilocalories per person per day) SN.ITK.DPTH 220 210 220 220

Consumption of iodized salt (% of households) SN.ITK.SALT.ZS 73.24 62.3 62.3

Vitamin A supplementation coverage rate (% of children ages 6-59 months) SN.ITK.VITA.ZS 64 61 82 62 73 76 87 86 84 80.0662379009

Adolescent fertility rate (births per 1,000 women ages 15-19) SP.ADO.TFRT 47.848 48.089 48.33 48.571 48.812 49.053 48.266 47.479 46.692 45.905 45.118 44.563 44.008 43.453 42.898

Completeness of infant death reporting (% of reported infant deaths to estimated infant deaths) SP.DTH.INFR.ZS

Completeness of total death reporting (% of reported total deaths to estimated total deaths) SP.DTH.REPT.ZS

Mortality rate, adult, female (per 1,000 female adults) SP.DYN.AMRT.FE 217.337 214.2144 211.0918 207.9692 204.8466 201.724 198.8524 195.9808 193.1092 190.2376 187.366 181.3644 175.3628 169.3612

Mortality rate, adult, male (per 1,000 male adults) SP.DYN.AMRT.MA 256.831 253.1524 249.4738 245.7952 242.1166 238.438 235.0684 231.6988 228.3292 224.9596 221.59 215.9724 210.3548 204.7372

Birth rate, crude (per 1,000 people) SP.DYN.CBRT.IN 44.582 44.314 43.985 43.615 43.219 42.798 42.346 41.85 41.303 40.711 40.08 39.419 38.738 38.049 37.36 36.681 36.018 35.369 34.729 34.091 33.441 32.76 32.035 31.267 30.46 29.632 28.806 28.005 27.249 26.546 25.894 25.28 24.689 24.112 23.553 23.029 22.564 22.174 21.861 21.616 21.416 21.229 21.026 20.782 20.488 20.143 19.76 19.361 18.967 18.585 18.218 17.866

Death rate, crude (per 1,000 people) SP.DYN.CDRT.IN 20.121 19.496 18.885 18.292 17.722 17.172 16.638 16.114 15.597 15.086 14.584 14.094 13.621 13.17 12.741 12.336 11.956 11.598 11.261 10.942 10.64 10.353 10.08 9.82 9.572 9.338 9.117 8.912 8.722 8.548 8.388 8.243 8.11 7.988 7.877 7.776 7.687 7.608 7.541 7.483 7.435 7.399 7.372 7.352 7.334 7.313 7.281 7.234 7.171 7.095 7.01 6.922

Contraceptive prevalence (% of women ages 15-49) SP.DYN.CONU.ZS 8.6 26.3 31.2 38.5 47.7 49.7 53.1 54.7 54.2 54.2 57.4 55.4 55.4 54.8 52.5 60.3 56.7 57.9 61.4 56.6 60.63 55.9

Mortality rate, infant (per 1,000 live births) SP.DYN.IMRT.IN 128.1 125 121.8 118.9 116.6 114.4 112 108.9 105.7 102.5 99.5 96.3 93.4 90.8 88.3 86 83.5 81.3 79.3 77.5 75.7 73.5 71.3 69.1 66.9 64.7 62.5 60.4 58.1 56.1 54.1 52.1 50.1 48.1 46.5 44.9 43.4 41.5 40 38.7 37.6 36.4 35.1 33.8 32.5 31.4 30.2 29 28.1 26.8 25.8 24.8

Life expectancy at birth, female (years) SP.DYN.LE00.FE.IN 46.301 47.072 47.829 48.574 49.307 50.029 50.739 51.439 52.128 52.805 53.469 54.12 54.756 55.376 55.98 56.569 57.141 57.699 58.242 58.771 59.287 59.79 60.281 60.759 61.226 61.681 62.124 62.557 62.978 63.389 63.79 64.181 64.562 64.933 65.296 65.649 65.995 66.331 66.66 66.981 67.29 67.584 67.863 68.132 68.398 68.675 68.98 69.323 69.707 70.131 70.584 71.052

Life expectancy at birth, total (years) SP.DYN.LE00.IN 45.0732682927 45.8273658537 46.5567073171 47.2617560976 47.9435365854 48.6076585366 49.2582439024 49.9034390244 50.5468536585 51.1890243902 51.8299756098 52.4671463415 53.0944390244 53.708804878 54.3071707317 54.8905365854 55.4574146341 56.0097804878 56.5497073171 57.0761463415 57.5911219512 58.0936097561 58.584097561 59.0631219512 59.5306341463 59.9866585366 60.431195122 60.8652195122 61.2882682927 61.700804878 62.1038536585 62.496902439 62.8804634146 63.2545365854 63.6206097561 63.9777073171 64.327804878 64.6694390244 65.0035609756 65.3307073171 65.6463658537 65.9490731707 66.237804878 66.5165365854 66.7912439024 67.0733658537 67.3768292683 67.7095853659 68.0751463415 68.4709756098 68.8896585366 69.3192439024

Life expectancy at birth, male (years) SP.DYN.LE00.MA.IN 43.904 44.642 45.345 46.012 46.645 47.254 47.848 48.441 49.041 49.65 50.269 50.893 51.512 52.121 52.714 53.292 53.854 54.401 54.938 55.462 55.976 56.478 56.968 57.448 57.916 58.373 58.819 59.254 59.679 60.093 60.498 60.893 61.279 61.656 62.025 62.386 62.74 63.087 63.426 63.759 64.081 64.392 64.69 64.978 65.261 65.548 65.85 66.173 66.521 66.89 67.276 67.669

Fertility rate, total (births per woman) SP.DYN.TFRT.IN 5.666 5.656 5.645 5.634 5.623 5.612 5.599 5.582 5.556 5.521 5.474 5.413 5.338 5.251 5.152 5.043 4.927 4.806 4.682 4.557 4.43 4.301 4.167 4.028 3.887 3.745 3.606 3.472 3.346 3.229 3.122 3.024 2.934 2.849 2.771 2.699 2.635 2.579 2.53 2.489 2.453 2.419 2.386 2.353 2.318 2.282 2.246 2.21 2.176 2.145 2.117 2.09

Survival to age 65, female (% of cohort) SP.DYN.TO65.FE.ZS 71.9082819 72.7638957 73.6195095 74.4751233 75.3307371 76.1440738 76.9151334 77.686193 78.4572526 79.2283122 79.9105081 80.5038403 81.0971725

Survival to age 65, male (% of cohort) SP.DYN.TO65.MA.ZS 64.2250106 65.0942778 65.963545 66.8328122 67.7020794 68.4857305 69.1837655 69.8818005 70.5798355 71.2778705 71.9007396 72.4484428 72.996146

Wanted fertility rate (births per woman) SP.DYN.WFRT 2.5 2.5 2.4 2.4 2.2 2.2

Female headed households (% of households with a female head) SP.HOU.FEMA.ZS 13 12.8 12.2 11.8 12.9

Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant) SP.MTR.1519.ZS 10.9 12.2 11.2 12.2 10.4 8.5



Population ages 65 and above (% of total) SP.POP.65UP.TO.ZS 3.5733301408 3.5189577119 3.4641161412 3.4122848918 3.3676024348 3.3327979987 3.3081815052 3.2928804682 3.2867009045 3.2891219318 3.2994082378 3.317101483 3.3412017863 3.3697373742 3.4004210542 3.4314501508 3.4628404033 3.4942405273 3.5233900388 3.5477213236 3.5659073273 3.5778024223 3.5850697254 3.5905140655 3.5977055487 3.6093513859 3.6258511329 3.6473386409 3.6756949528 3.7129634598 3.7603692479 3.8183656153 3.8861955885 3.9622960564 4.0445232483 4.1312196566 4.2216097892 4.3155424446 4.4126848951 4.5128070321 4.6154118094 4.7205013525 4.8271097188 4.932765905 5.0345152476 5.1305636184 5.2215596388 5.3088936822 5.3927741771 5.473538543 5.5522966503 5.6295034107

Age dependency ratio (% of working-age population) SP.POP.DPND 77.0086495831 78.2439914342 79.6103720668 81.0226029652 82.3753050207 83.5868631121 84.6287567044 85.4959440515 86.1641468352 86.6158788503 86.8442551319 86.8404444659 86.6165399357 86.2132130123 85.6817337865 85.0583226724 84.3571311114 83.5753325674 82.7102799944 81.7550305304 80.7085257879 79.5835818958 78.3941026867 77.1431994955 75.8322915236 74.4665552567 73.0492136975 71.5943029129 70.1286014132 68.6827859417 67.276485993 65.9242586968 64.6209356179 63.3442129797 62.0646780665 60.768656538 59.4484142499 58.1264164079 56.8528756289 55.6894753283 54.6728031969 53.8119815532 53.0823962563 52.4445084503 51.8457819029 51.2498006349 50.6472582166 50.0475089858 49.4566740583 48.8863407927 48.3439561877 47.8333297289

Age dependency ratio, old (% of working-age population) SP.POP.DPND.OL 6.3251034273 6.2723306825 6.22191189 6.1770069316 6.1416752123 6.1185792997 6.1078543825 6.1081597109 6.1186586979 6.1380237994 6.1647547457 6.1976871542 6.2352351658 6.2748962346 6.3139607695 6.3501840925 6.3839932225 6.4145636688 6.4375958052 6.4481619748 6.4438985621 6.4251457431 6.3955529673 6.360351494 6.3259281086 6.2971110301 6.2745068753 6.2586253157 6.2534084154 6.2631302049 6.2902135383 6.3355948414 6.3974915378 6.4721813093 6.5547435817 6.6417063405 6.7312898647 6.8240126163 6.9214231504 7.0259655909 7.1387868247 7.2606966695 7.3894552275 7.5197307369 7.6446990428 7.7599672443 7.866136432 7.9658627248 8.0598609246 8.1493512486 8.2364965103 8.3222823393

Age dependency ratio, young (% of working-age population) SP.POP.DPND.YG 70.6835461558 71.9716607517 73.3884601768 74.8455960335 76.2336298084 77.4682838124 78.5209023219 79.3877843406 80.0454881373 80.4778550509 80.6795003862 80.6427573117 80.3813047699 79.9383167777 79.367773017 78.7081385799 77.9731378889 77.1607688986 76.2726841892 75.3068685555 74.2646272258 73.1584361527 71.9985497194 70.7828480014 69.506363415 68.1694442267 66.7747068222 65.3356775972 63.8751929978 62.4196557367 60.9862724547 59.5886638553 58.2234440801 56.8720316704 55.5099344848 54.1269501975 52.7171243852 51.3024037916 49.9314524785 48.6635097374 47.5340163722 46.5512848837 45.6929410288 44.9247777135 44.2010828602 43.4898333906 42.7811217847 42.0816462609 41.3968131337 40.7369895441 40.1074596774 39.5110473896

Population growth (annual %) SP.POP.GROW 2.4211843412 2.4485617402 2.4701162077 2.4909090859 2.5136987305 2.5359481827 2.5530203591 2.5623079914 2.5652847669 2.5616324234 2.5522629199 2.5392737964 2.5229648474 2.5020526666 2.4765902933 2.447563584 2.4135932549 2.3779129486 2.3453795669 2.3176114388 2.2912412207 2.2652140439 2.2325497415 2.1864187059 2.123845659 2.0505659137 1.9748694806 1.9033826854 1.8365924997 1.7767936433 1.7224407445 1.6707650009 1.6195753824 1.5692551969 1.5193579109 1.4710927028 1.4224801167 1.3780172428 1.3445591171 1.3246644089 1.3135067937 1.3073254744 1.2972021535 1.2760842172 1.2397167373 1.1934578842 1.1440403637 1.1000575436 1.0651959063 1.0429900379 1.0293478597 1.0181417007

Researchers in R&D (per million people) SP.POP.SCIE.RD.P6 210.8011591683 197.6008723152 89.6112092903

Technicians in R&D (per million people) SP.POP.TECH.RD.P6

Population, total SP.POP.TOTL 91946612 94225771 96582241 99018230 101538797 104146696 106839814 109612753 112461009 115379062 118361740 121405753 124507744 127662293 130863441 134105926 137382075 140688052 144026720 147403681 150820044 154275429 157758440 161245684 164706919 168119209 171472345 174767379 178006800 181197879 184345939 187451800 190512441 193525648 196488446 199400339 202257039 205063468 207839287 210610776 213395411 216203499 219026365 221839235 224606531 227303175 229918547 232461746 234951154 237414495 239870937 242325638

Population, female (% of total) SP.POP.TOTL.FE.ZS 50.3044157842 50.2871072319 50.2688108055 50.2506200197 50.2338588865 50.2193262089 50.2073126952 50.1973397165 50.1884782129 50.1795104746 50.1696570192 50.1587568932 50.1471559058 50.1352031958 50.1233946615 50.1120569422 50.1012799523 50.0909316721 50.0808443756 50.0707845257 50.0606391548 50.0504318808 50.0403382544 50.0305784927 50.0214186508 50.0130588885 50.0055484165 49.9988965332 49.9932033496 49.98856278 49.9850484908 49.9826851487 49.9814728633 49.9814094406 49.9824791227 49.9846657733 49.9879860795 49.9924179572 49.9978509838 50.0041436626 50.0111977572 50.0188232386 50.0270264266 50.0361234572 50.0465467322 50.0585093015 50.0721651223 50.0871607921 50.1025998379 50.1173110756 50.1304991359 50.1418985231

Completeness of birth registration, rural (%) SP.REG.BRTH.RU.ZS 43 41.4

Completeness of birth registration, urban (%) SP.REG.BRTH.UR.ZS 69 70.5

Completeness of birth registration (%) SP.REG.BRTH.ZS 55 53

Rural population SP.RUR.TOTL 78535279.17368 80255292.836914 82030001.584048 83860717.38806 85751138.687252 87702974.16856 89696938.484444 91743901.231446 93839490.207762 95978534.240948 98156207.3646 100135222.262894 102134449.449664 104148685.901502 106172388.679002 108200684.27458 110078211.8862 111942950.591464 113796663.68576 115643199.469654 117482781.47424 118944813.00471 120372844.8888 121748553.7042 123049245.04652 124258588.56399 125195388.5314 126030000.01827 126765762.552 127409288.61885 127965577.01624 128258270.596 128458728.71748 128566828.99232 128582039.0624 128505542.47194 127738264.578996 126866205.620624 125903220.564564 124866074.431776 123765070.47178 123692183.81289 123583436.1876 123424695.17695 123196682.2535 122886915.50025 122467493.570832 121968493.814772 121401140.881032 120780825.69933 120117770.41212 119500949.774596

Rural population growth (annual %) SP.RUR.TOTL.ZG 2.1567066121 2.1664774133 2.1872339136 2.2072242972 2.2292068812 2.2506446676 2.2480826089 2.2564375259 2.2584758628 2.2538793047 2.2435597568 1.9961332811 1.9768581983 1.9529473092 1.9244531134 1.8923609159 1.720343973 1.6798241516 1.6423832111 1.6096380351 1.5782197936 1.2367847079 1.1934337365 1.136391602 1.0626758813 0.978014436 0.7510839332 0.6644348823 0.582102013 0.5063655453 0.4356648614 0.2284671859 0.1561705401 0.0841163674 0.011829778 -0.0595101422 -0.5988673014 -0.6850330381 -0.7619511027 -0.8271762669 -0.8856582768 -0.058908486 -0.0879566148 -0.1285310177 -0.1849093463 -0.2517574675 -0.3418910135 -0.4082872204 -0.4662487678 -0.5122731036 -0.5504863642 -0.5148362361

Rural population (% of total population) SP.RUR.TOTL.ZS 85.414 85.1734 84.9328 84.6922 84.4516 84.211 83.9546 83.6982 83.4418 83.1854 82.929 82.4798 82.0306 81.5814 81.1322 80.683 80.1256 79.5682 79.0108 78.4534 77.896 77.099 76.302 75.505 74.708 73.911 73.012 72.113 71.214 70.315 69.416 68.422 67.428 66.434 65.44 64.446 63.1564 61.8668 60.5772 59.2876 57.998 57.211 56.424 55.637 54.85 54.063 53.2656 52.4682 51.6708 50.8734 50.076 49.3142

Urban population growth (annual %) SP.URB.GROW 3.9841372028 4.0846317701 4.0798492989 4.0751397499 4.0732224331 4.0715237426 4.1638912687 4.1476406942 4.1258763902 4.0982433462 4.0656189973 5.1366121533 5.0545458762 4.9711239006 4.8861644746 4.8004407656 5.258286673 5.1439168756 5.0369304713 4.938612615 4.8452968347 5.8074130547 5.6535576081 5.4942545755 5.3257581695 5.1531288493 5.3627248018 5.1802134507 5.0094452419 4.8520646315 4.7059536117 4.8691329214 4.718810183 4.575317825 4.4376873158 4.3066650593 4.9854060149 4.8183539714 4.6704626539 4.5435029304 4.4319589783 3.1637078756 3.1197501407 3.066009078 2.9981658546 2.9215191539 2.8650021285 2.7919025955 2.728893119 2.6794607158 2.639468802 2.5325360423

Urban population SP.URB.TOTL 13411332.82632 13970478.163086 14552239.415952 15157512.61194 15787658.312748 16443721.83144 17142875.515556 17868851.768554 18621518.792238 19400527.759052 20205532.6354 21270530.737106 22373294.550336 23513607.098498 24691052.320998 25905241.72542 27303863.1138 28745101.408536 30230056.31424 31760481.530346 33337262.52576 35330615.99529 37385595.1112 39497130.2958 41657673.95348 43860620.43601 46276956.4686 48737378.98173 51241037.448 53788590.38115 56380361.98376 59193529.404 62053712.28252 64958819.00768 67906406.9376 70894796.52806 74518774.421004 78197262.379376 81936066.435436 85744701.568224 89630340.52822 92511315.18711 95442928.8124 98414539.82305 101409848.7465 104416259.49975 107451053.429168 110493252.185228 113550013.118968 116633669.30067 119753166.58788 122824688.225404

Urban population (% of total) SP.URB.TOTL.IN.ZS 14.586 14.8266 15.0672 15.3078 15.5484 15.789 16.0454 16.3018 16.5582 16.8146 17.071 17.5202 17.9694 18.4186 18.8678 19.317 19.8744 20.4318 20.9892 21.5466 22.104 22.901 23.698 24.495 25.292 26.089 26.988 27.887 28.786 29.685 30.584 31.578 32.572 33.566 34.56 35.554 36.8436 38.1332 39.4228 40.7124 42.002 42.789 43.576 44.363 45.15 45.937 46.7344 47.5318 48.3292 49.1266 49.924 50.6858

Unmet need for contraception (% of married women ages 15-49) SP.UWT.TFRT 14.1 10.6 9.2 8.6 9.1 15

International tourism, number of arrivals ST.INT.ARVL 4324000 5034000 5185000 4606000 4728000 5064000 5153000 5033000 4467000 5321000 5002000 4871000 5506000 6234000 6324000 7003000

International tourism, number of departures ST.INT.DPRT 2205000 2505000 3231000 3478000 3941000 4106000 4967000 5158000 5486000 5053000 6235000

International tourism, receipts (current US$) ST.INT.RCPT.CD 5229000000 6184000000 6648000000 4255000000 4352000000 4975000000 5277000000 5797000000 4461000000 5226000000 5094000000 4890000000 5831000000 8150000000 6054000000 7618000000

International tourism, receipts (% of total exports) ST.INT.RCPT.XP.ZS 9.880392268 10.8898163312 10.5125001977 7.7575244989 7.7936305324 7.0445934311 8.3941728935 8.8062804967 6.4277566529 6.310636963 5.0979854903 4.2504074635 4.468154381 5.2630688372 4.5586938685 4.357119921

International tourism, receipts for passenger transport items (current US$) ST.INT.TRNR.CD 512000000 424000000 428000000 572000000 442000000 485000000 773000000 456000000 660000000

International tourism, expenditures for passenger transport items (current US$) ST.INT.TRNX.CD 1753000000 1345000000 1062000000 1156000000 1428000000 1674000000 3247000000 1592000000 2037000000

International tourism, receipts for travel items (current US$) ST.INT.TVLR.CD 5229000000 6184000000 6648000000 4255000000 4352000000 4975000000 5277000000 5285000000 4037000000 4798000000 4522000000 4448000000 5346000000 7377000000 5598000000 6958000000

International tourism, expenditures for travel items (current US$) ST.INT.TVLX.CD 2172000000 2399000000 2411000000 2102000000 2353000000 3197000000 3406000000 3289000000 3082000000 3507000000 3584000000 4030000000 4904000000 5554000000 5316000000 6395000000

International tourism, expenditures (current US$) ST.INT.XPND.CD 2172000000 2399000000 2411000000 2102000000 2353000000 3197000000 3406000000 5042000000 4427000000 4569000000 4740000000 5458000000 6578000000 8801000000 6908000000 8432000000

International tourism, expenditures (% of total imports) ST.INT.XPND.MP.ZS 3.9881750243 4.0401488742 3.8373388509 4.7739789668 5.4753383075 5.708677886 6.7380668834 9.5679493552 7.7739509027 6.3927890546 5.1797282356 5.7294743668 6.002477094 6.0723515457 6.1894006686 5.4918573696

Merchandise trade (% of GDP) TG.VAL.TOTL.GD.ZS 21.9735006658 19.3749775821 18.578337385 21.8448461588 23.7259824808 28.7692862798 34.593426879 41.3839415301 36.9286342965 36.1570790212 35.2988870119 33.7643127514 41.3501750492 41.9710990781 38.4238235152 41.3365700098 43.9315340597 40.8435152906 33.0345452942 33.4658754989 39.5445162291 36.8452254724 38.0502929791 41.5218509801 42.9210099759 44.0257634689 41.233022524 40.724249615 42.5697000071 40.7895210692 49.8737294231 89.7370299392 60.402273602 66.0509825423 59.1441603576 49.8342509945 45.2795871096 48.9194536172 56.9216028967 50.5188088083 48.8443821234 52.3561608928 39.5551996362 41.4388219795 44.6164871862

Import volume index (2000 = 100) TM.QTY.MRCH.XD.WD 46.046719796 59.884344608 61.759612643 53.102896904 41.365100742 45.041845884 46.720059222 44.918828747 52.488133222 66.485612595 74.938188813 77.52037112 82.061502675 90.027275875 106.33887419 114.36510305 118.44021511 82.390366442 73.080283881 100 93.575805274 92.434217393 94.722700408 111.9081995 134.96283084 132.20612294 140.95753147 163.83390889 134.96431079 180.14165029 202.51795587

Binding coverage, manufactured products (%) TM.TAX.MANF.BC.ZS 96.09 96.05 96.05 96.05 96.05 96.14 96.14 96.14 96.14 96.14 96.12 96.12 96.12

Bound rate, simple mean, manufactured products (%) TM.TAX.MANF.BR.ZS 35.34 35.23 35.23 35.23 35.23 35.21 35.21 35.21 35.21 35.21 35.49 35.49 35.49

Share of tariff lines with international peaks, manufactured products (%) TM.TAX.MANF.IP.ZS 49.9168 48.37955 49.13272 40.33342 27.42255 26.05743 11.8226 3.291819 3.524827 3.092366 7.96119 8.277211 8.277211 13.67341 12.24266 7.820251

Tariff rate, applied, simple mean, manufactured products (%) TM.TAX.MANF.SM.AR.ZS 18.91 16.88 16.89 14.32 10.6 9.72 8.09 6.07 6.26 5.73 5.9 5.9 5.9 5.78 5.19 5.03

2 TM.TAX.MANF.SM.FN.ZS 23.58 19.36 18.62 16.24 12.37 11.18 8.97 7 7.03 7.03 7.13 7.13 7.13 7.04 6.91 7.33

Share of tariff lines with specific rates, manufactured products (%) TM.TAX.MANF.SR.ZS 0.3132239 0.322115 0 0 0.0330519 0.06036 0.0243529 0.0238646 0.038758 0.0276269 0.0844494 0.1004138 0.1298454 0.0863167 0.1619814 0.0768353

Tariff rate, applied, weighted mean, manufactured products (%) TM.TAX.MANF.WM.AR.ZS 15.55 15.82 14.51 13.11 9.36 8.11 6.71 5.25 5.91 4.28 4.97 4.74 4.63 4.42 3.54 2.93

Tariff rate, most favored nation, weighted mean, manufactured products (%) TM.TAX.MANF.WM.FN.ZS 15.55 15.82 14.51 13.15 9.36 8.11 6.71 5.47 6.25 5.68 6.52 6.53 6.53 6.46 6.44 6.84

Binding coverage, all products (%) TM.TAX.MRCH.BC.ZS 96.61 96.58 96.58 96.58 96.58 96.59 96.59 96.59 96.59 96.59 96.58 96.58 96.58

Bound rate, simple mean, all products (%) TM.TAX.MRCH.BR.ZS 37.18 37.13 37.13 37.13 37.13 37.14 37.14 37.14 37.14 37.14 37.45 37.45 37.45

Share of tariff lines with international peaks, all products (%) TM.TAX.MRCH.IP.ZS 49.22224 47.78608 48.31052 39.03874 26.98699 25.90663 10.45298 3.185783 3.64239 3.176939 7.626908 7.872895 7.872895 12.72942 11.47197 7.034948

Tariff rate, applied, simple mean, all products (%) TM.TAX.MRCH.SM.AR.ZS 18.74 16.83 16.74 14.01 10.76 9.86 7.78 6.07 6.45 5.95 6.07 6 5.99 5.88 5.24 4.79

Tariff rate, most favored nation, simple mean, all products (%) TM.TAX.MRCH.SM.FN.ZS 22.18 18.7 17.92 15.34 12.35 11.19 8.43 6.89 6.9 6.9 6.95 6.95 6.95 6.9 6.81 6.72

Share of tariff lines with specific rates, all products (%) TM.TAX.MRCH.SR.ZS 0.2859293 0.2690458 0 0 0.0273424 0.0527221 0.0197401 0.0761109 0.0602634 0.1741611 0.2083417 0.3104931 0.337756 0.2050021 0.2821708 0.5380291

Tariff rate, applied, weighted mean, all products (%) TM.TAX.MRCH.WM.AR.ZS 12.96 13.32 12.51 10.84 7.73 6.05 5.16 4.13 5.5 4 4.67 4.39 4.31 3.85 3.15 2.49

Tariff rate, most favored nation, weighted mean, all products (%) TM.TAX.MRCH.WM.FN.ZS 12.96 13.32 12.51 10.89 7.73 6.05 5.16 4.31 5.79 5.22 6.09 6.07 6.07 5.44 5.33 5.45

Binding coverage, primary products (%) TM.TAX.TCOM.BC.ZS 99.21 99.22 99.22 99.22 99.22 99.24 99.24 99.24 99.24 99.24 99.19 99.19 99.19

Bound rate, simple mean, primary products (%) TM.TAX.TCOM.BR.ZS 43.23 43.46 43.46 43.46 43.46 43.47 43.47 43.47 43.47 43.47 43.69 43.69 43.69

Share of tariff lines with international peaks, primary products (%) TM.TAX.TCOM.IP.ZS 45.96503 45.11861 44.99149 33.6293 25.27156 25.8067 4.516899 2.608752 4.16964 3.48636 5.35873 5.079172 5.079172 7.332511 7.011212 2.414649

Tariff rate, applied, simple mean, primary products (%) TM.TAX.TCOM.SM.AR.ZS 17.66 16.48 15.92 12.28 11.73 10.75 6.02 6.07 7.67 7.34 7.24 6.64 6.64 6.62 5.67 3.21

Tariff rate, most favored nation, simple mean, primary products (%) TM.TAX.TCOM.SM.FN.ZS 17.57 16.56 15.61 12.41 12.32 11.3 6.62 6.56 6.52 6.47 6.47 6.47 6.47 6.56 6.6 4.74

Share of tariff lines with specific rates, primary products (%) TM.TAX.TCOM.SR.ZS 0.1464129 0 0 0 0 0.0154024 0 0.3065284 0.1631155 0.8324404 1.066667 1.790499 1.80268 0.8960131 0.9906312 3.279898

Tariff rate, applied, weighted mean, primary products (%) TM.TAX.TCOM.WM.AR.ZS 5.81 5.26 5.95 4.84 3.72 3.25 2.76 2.37 4.14 3.05 3.6 3.33 3.33 2.56 2.28 1.57

Tariff rate, most favored nation, weighted mean, primary products (%) TM.TAX.TCOM.WM.FN.ZS 5.81 5.26 5.95 4.92 3.72 3.25 2.76 2.49 4.28 3.66 4.54 4.62 4.62 3.16 2.84 2.49

Agricultural raw materials imports (% of merchandise imports) TM.VAL.AGRI.ZS.UN 1.417593769 1.4627248416 1.8142853785 1.228927004 1.6575950456 1.6665585761 2.1277225966 2.4871271337 2.8128038214 2.4519092577 2.825019259 3.2019763364 3.6609328791 3.5350461284 3.1971969199 2.5693237456 2.6354585839 3.9127350618 4.1075837623 4.1063493293 4.9939217207 5.3768681437 5.4233239408 4.6840712675 4.7409983486 5.6109665172 5.2118565201 5.625641179 6.1822604725 5.4530809394 4.745813394 6.6823001616 7.107676425 7.1788872279 7.4744766261 5.8034911093 5.3118654593 4.5520135583 3.4534714867 3.4120651831 3.5120119884 3.0399452026 2.8010064221 3.0771248791

Food imports (% of merchandise imports) TM.VAL.FOOD.ZS.UN 9.2591239609 24.9861105616 15.5624336931 15.3722145562 9.4221304075 9.9441503684 10.3181200366 14.969100867 12.5032215169 14.5734624761 16.3414187617 17.6379704732 16.0043234843 12.6780338096 11.0492752861 7.1641942432 7.7277878812 6.5035462092 6.909114738 7.1745270321 6.9989217136 7.664208345 7.603111766 5.0511497113 5.4745378947 6.3579132672 6.4646726155 7.7581812472 8.835954924 10.7888197695 8.8165554975 10.5220435888 15.7014358338 10.0047353948 9.923356388 11.1192414187 11.4955348446 9.6876137708 8.0798018461 8.858846005 10.5501512452 7.2579850274 8.9166921574 8.4594130715 9.4324303102

Fuel imports (% of merchandise imports) TM.VAL.FUEL.ZS.UN 2.1608950188 0.8765741502 2.3073181875 1.6546297265 2.6165829862 2.5513406159 1.8282323833 4.807237224 5.3832030722 7.7626326292 11.8832160737 8.7537538277 11.0967226948 16.1871606656 13.2697143461 21.4701987202 25.3273306095 19.501792521 12.5379393256 10.3100578121 9.0911843309 7.2189088784 7.7160794334 8.9138954414 9.0363102496 7.7944090917 7.7058663642 7.6797133442 7.5127133179 8.7142372434 9.7591219815 10.0049820795 15.6998065567 18.501474293 18.2820703366 21.4849579804 24.1091208539 25.8048722658 30.7834231734 31.5112003475 29.7033761501 23.8505819854 19.8051655483 20.3930524268 23.1144745605

ICT goods imports (% total goods imports) TM.VAL.ICTG.ZS.UN 2.0902481142 2.5285460779 2.9468870396 3.5152132454 3.8294327874 3.600828906 3.4992144494 4.9520250804 9.0613604035 8.9015182562 8.621610902

Insurance and financial services (% of commercial service imports) TM.VAL.INSF.ZS.WT 3.9220939819 4.3373493976 4.8391674551 4.0165732391 2.7784431138 3.1227305737 3.1400742115 3.360930857 3.3490833491 3.9725330621 4.267565872 3.7239979706 3.2423137051 3.1896551724 3.4089191232 3.2888949042 3.1392623659 2.8104514487 2.2401034355 2.0997306256 1.8359632114 1.8679220381 1.7447765791 4.5889469501 4.0179572236 3.4438251588 4.3071299508 3.6593302958 7.6132817283 6.2628628596 6.0492595966

Manufactures imports (% of merchandise imports) TM.VAL.MANF.ZS.UN 85.971847275 71.4539985423 78.4413436293 79.4960463655 84.1398968413 83.3559316009 83.284297284 75.3512259541 77.3287516235 72.8340260749 66.7500368998 67.5475536345 66.2201196875 64.9177395003 68.9490726236 66.2326775395 61.921994334 66.9599351069 72.1113523111 74.0599148653 74.6092139529 75.1809329108 74.5274478872 76.8646658707 76.2830179112 75.9917855227 76.3246491793 75.0919868043 72.9140785734 71.1960755601 73.0964922397 69.0979196031 57.843600252 60.9180718336 60.8220359016 58.4089417983 56.0465899591 56.4193152509 54.5513260507 52.6593521339 52.5910588163 61.8905121483 65.3296707804 63.3195913656 59.7417652475

Ores and metals imports (% of merchandise imports) TM.VAL.MMTL.ZS.UN 1.1311719177 1.1573189038 1.6947793572 2.1012212277 1.9720602329 2.2597668463 2.4094192967 2.3670571401 1.9437861924 2.3307929454 2.0766291673 2.4451297839 2.6346168647 2.4374278889 2.996665804 2.1919182081 2.0255571642 2.5373540553 3.910282434 3.9646915424 3.6333473782 3.9475763624 4.4095737844 4.3223843993 4.1646818675 3.8023472212 3.9851030077 3.6759336772 4.367070514 3.6932906654 3.3786346514 3.2695810357 3.4996740125 3.3143626633 3.3931108222 3.0961798213 2.9130162118 3.4475929045 3.1049546495 3.5441321376 3.5712253504 3.9420711692 3.063062122 3.4187414638 3.456815874

Merchandise imports from economies in the Arab World (% of total merchandise imports) TM.VAL.MRCH.AL.ZS 3.4627831715 1.3044612575 2.6249209361 3.6240541617 0.0153022188 0.0303490137 0.0594412522 0.0156862745 0.0141282848 0 0 0 0 0 2.069396361 1.6207489412 0.3701288401 4.7122100024 3.5410002691 5.1552812223 9.0225425152 5.7206375523 7.3202125893 6.1529146995 10.7274338451 9.5106474092 6.7264657616 5.7984199558 5.3584402105 4.3503492531 3.0862197648 3.9951386633 3.8994247443 1.9823440074 3.4215905868 3.5146952613 2.5809077046 2.8630987616 2.9504946693 8.3451975422 8.2158070455 9.0374295568 7.5283972143 8.3742584097 8.2394734493 8.1775478163 9.9732894579 8.846796837 7.2205881228 6.5738528875 5.8518175677

Merchandise imports (current US$) TM.VAL.MRCH.CD.WT 574100000 794000000 647100000 521400000 679900000 694600000 526600000 649200000 715800000 780700000 1001500000 1102800000 1561700000 2729100000 3841900000 4769800000 5673100000 6230300000 6690400000 7202300000 10834000000 13272000000 16859000000 16352000000 13882000000 10262000000 10718000000 12891000000 13249000000 16444000000 21837000000 25869000000 27280000000 28328000000 31983000000 40630000000 42929000000 51304000000 35280000000 33321000000 43595000000 37534000000 38340000000 42196000000 54876590000 75724931000 80649687000 93100595000 127538457000 93785930000 135323490000 176354558000

Merchandise imports from high-income economies (% of total merchandise imports) TM.VAL.MRCH.HI.ZS 79.6925566343 72.9976519697 70.5407969639 61.2704101951 52.0581484315 60.7283763278 74.3015652863 78.6196078431 77.5360271263 80.9462086844 80.8653260207 81.6656024811 80.3391354615 80.6739748274 87.6018429341 85.2476202457 86.8798138781 86.0881432127 87.6326567218 86.9325730735 90.1746745038 88.9701948076 91.1927302062 92.6459795983 93.3279540068 91.7769688948 91.1802551097 89.4824422257 88.1051226926 83.0707826849 85.5693680945 87.5812251479 88.5914909521 86.4855797609 85.1327569682 79.0845789247 81.6798304981 82.0206638839 80.9848597654 76.834062685 77.4176989049 76.544358721 71.4796857086 68.2281565078 67.3948107219 69.6240575965 67.913013015 62.0404911531 65.791855622 63.3480554828 61.7759045586

Merchandise imports from developing economies outside region (% of total merchandise imports) TM.VAL.MRCH.OR.ZS 8.3333333333 4.8004174276 6.9576217584 8.0844285145 5.1568477429 6.4036418816 6.5781652467 4.4078431373 5.1426956767 4.0829552819 2.8437944343 2.8094499681 2.1902498555 3.6577713801 3.995626936 6.132846899 4.5613973245 3.8195392149 5.8892110849 5.7946744907 3.2452732692 5.1953728475 4.1764538401 2.7648670466 3.4228366822 4.1051893954 3.7240787707 4.0006531679 4.8891689525 8.5085735726 8.1652045031 5.4716556502 4.5290471052 6.1964395874 6.0090883167 7.3879066188 7.8259896904 8.137570499 6.7169990354 7.9096273347 7.516135048 9.1578749772 11.2469974155 10.6307426726 12.0415145884 8.5153076685 8.1991944914 10.1460336366 9.3310880452 9.9352061305 9.7097952759

Merchandise imports from developing economies in East Asia & Pacific (% of total merchandise imports) TM.VAL.MRCH.R1.ZS 4.3873382421 2.9920102591 3.7217269436 4.6471729077 5.8559609343 6.365927793 7.4174418725 5.8135876148 6.6188764379 6.3908402539 6.4675710404 8.0130977525 12.8123478945 9.0403595633 8.497524676 10.7977198672 14.6336909537 14.1483013539 13.3881102979 16.493284029 20.1681656354 20.0407613216 21.2888711484 23.1818055808 27.762471229 24.8044807163 26.3978335495 28.3648793076

Merchandise imports from developing economies in Europe & Central Asia (% of total merchandise imports) TM.VAL.MRCH.R2.ZS 0.991482235 1.437128646 0.2700198377 1.1259596254 0.8174874403 0.700144234 0.8441505313 1.0000438409 1.0575290063 1.2825446883 2.0212027745 1.6186901998 1.5837063919 2.5542772183 2.9173298171 2.3673626278 2.2932211063

Merchandise imports from developing economies in Latin America & the Caribbean (% of total merchandise imports) TM.VAL.MRCH.R3.ZS 0.8737864078 0 0 0 0 0 0 0 0 0 0 0 0 0 0.4216883151 0.4969178513 0.2608527063 1.2587300313 1.1359899555 0.7376550044 1.0140902254 1.9744526923 0.9781241844 0.7852442574 0.9682787836 1.8365320979 1.6112188572 1.6990140276 1.6087182148 2.6427360511 2.3230606321 2.25769777 1.759980416 2.1782389805 2.2914231824 2.647172157 2.485056309 2.1126248179 1.7990923546 2.3556749328 1.7115613553 1.3850393353 1.6041279511 1.6774617132 2.1206773298 1.9584533722 2.0160686129 2.013544567 1.9737111046 2.462593439 2.4531055487

Merchandise imports from developing economies in Middle East & North Africa (% of total merchandise imports) TM.VAL.MRCH.R4.ZS 3.4466019417 1.3044612575 2.6249209361 3.6240541617 0.0153022188 0.0303490137 0.0594412522 0.0156862745 0.0141282848 0 0 0 0 0 0.1379597574 0.3270851679 0.1128011703 0.009633138 0.0986517593 0.182683791 0.0987330793 0.6526244395 0.59078938 0.6121725091 1.0381619994 0.8759294585 0.707705505 0.9276538832 1.3359033286 3.7365774755 3.6794625919 1.1140032966 1.1006905535 2.1367969295 1.2226210629 1.0432467917 1.4624853854 1.4668799893 1.0032924119 1.0894550649 0.5811470762 2.1081274984 1.5154410023 1.4284903066 0.7824363692 0.5634273098 1.3111259753 1.4002859842 0.9301175671 0.8354217407 0.9572293212

Merchandise imports from developing economies in South Asia (% of total merchandise imports) TM.VAL.MRCH.R5.ZS 1.8446601942 1.8523349857 2.4351676154 1.0553564317 2.0504973221 2.564491654 3.1503863681 2.431372549 3.3484035038 2.9682436811 2.0312817388 1.6692511174 1.6892542874 3.4215480013 1.9496577036 1.1657650858 2.6614026121 1.6649273501 2.3093480016 2.0316651904 0.5314976978 0.8440408455 1.4710418298 0.6109493872 0.5734746367 0.4272589247 0.5426674623 0.5233118721 0.7532063163 0.940085843 1.3173433555 1.2888751602 1.2079165487 1.458318853 1.1201770536 1.493097561 2.5115408089 2.0132666149 1.6741245661 1.6976038205 2.0199629145 2.235509632 2.3468119617 2.2165249467 2.5063522935 1.9764698981 2.4712632378 2.3121263432 2.3532295092 2.457025018 2.5855794383

Merchandise imports from developing economies in Sub-Saharan Africa (% of total merchandise imports) TM.VAL.MRCH.R6.ZS 0.0485436893 0 0 0 0 0 0 0 0 0 0 0 0 0 0.4997787438 1.9981549042 0.8918342528 0.4399133018 0.9282233715 1.6137068202 1.1294326078 1.1907004785 0.6655277956 0.2507399887 0.306909793 0.8408922801 0.425182754 0.4999844484 0.617540218 0.5826734914 0.3748170723 0.3483506515 0.3314943494 0.3245519313 0.3833847827 0.7672614631 1.0968873478 1.4188394515 1.4230022625 2.0667492825 2.3593131707 2.4291546706 4.7230874941 4.0257210179 4.6108458214 2.3982668886 0.8170302735 1.8657995238 1.1567000496 1.812803305 1.420659863

Merchandise imports by the reporting economy, residual (% of total merchandise imports) TM.VAL.MRCH.RS.ZS 11.9741100324 22.2019306027 22.5015812777 30.6451612903 42.7850038256 32.8679817906 19.120269467 16.9725490196 17.3212771969 14.9708360337 16.290879545 15.5249475509 17.470614683 15.6682537925 8.4025301299 8.6195328553 8.5587887974 10.0923175724 6.4781321934 7.2727524358 6.580052227 5.8344323449 4.6308159537 0.2018151129 0.2571990519 0.3961147662 0.448493212 0.660943672 0.6397805619 1.00320187 0.4518397877 0.328242764 0.4886216888 0.8504096113 0.8450569626 0.7151665619 1.4538202481 1.3442409411 1.500421332 0.6226190266 0.9178646932 0.9096560039 0.7800328469 0.9729351841 0.5229133682 0.5717635866 0.7059869129 0.0510039814 0.0725756164 0.3189048372 0.1494208579

Merchandise imports by the reporting economy (current US$) TM.VAL.MRCH.WL.CD 618000000 766600000 632400000 502200000 653500000 659000000 504700000 637500000 707800000 771500000 984600000 1096300000 1556900000 2709300000 3841700000 4769400000 5673700000 6228500000 6690200000 7225600000 10837300000 13269500000 16858800000 16351600000 13880300000 10274800000 10724800000 12860400000 13489000000 16469978370 22005069430 25928884760 27279796220 28328009210 32040917000 40629696000 42902309060 41717085000 27362327050 24004415640 33518150910 30964232500 31292541200 32555564560 46527868250 57713990490 61072785080 74483761800 129273624700 96967991680 135690995800

Merchandise imports from developing economies within region (% of total merchandise imports) TM.VAL.MRCH.WR.ZS 4.3873382421 2.9920102591 3.7217269436 4.6471729077 5.8559609343 6.365927793 7.4174418725 5.8135876148 6.6188764379 6.3908402539 6.4675710404 8.0130977525 12.8123478945 9.0403595633 8.497524676 10.7977198672 14.6336909537 14.1483013539 13.3881102979 16.493284029 20.1681656354 20.0407613216 21.2888711484 23.1818055808 27.762471229 24.8044807163 26.3978335495 28.3648793076

Import value index (2000 = 100) TM.VAL.MRCH.XD.WD 32.325824258 39.600179024 50.30284947 48.790093988 41.420259585 30.610174549 31.979710577 36.908846785 39.528569297 48.813963897 65.155900343 77.186334477 81.396389676 84.523347755 95.428912427 121.22631657 128.08891541 124.36222587 81.566462778 71.618678204 100 89.219808104 87.590800296 96.500082414 127.70450815 175.57765123 187.25023389 216.1345365 296.08151307 217.72547144 314.15451546 409.41096173

Computer, communications and other services (% of commercial service imports) TM.VAL.OTHR.ZS.WT 42.4979389942 37.8989642782 32.5449385052 38.4840360712 53.9520958084 48.1965625756 50.8116883117 46.1176997091 43.6779436779 34.4693116311 30.5520702635 36.1491628615 42.5013027619 44.6120689655 43.4315948602 44.9888339988 48.6863204638 48.0659979193 51.4074456914 51.0066159416 51.4671963278 47.8091094398 52.2118464284 51.8590529718 45.4472598754 38.8880060385 35.8588132671 26.8657118724 40.0867402097 34.8794012996 32.9259251116

Commercial service imports (current US$) TM.VAL.SERV.CD.WT 4852000000 4731000000 4228000000 4103000000 5010000000 4131000000 4312000000 4469000000 5291000000 5898000000 6376000000 7884000000 9595000000 11136000000 13230000000 14777000000 16214000000 11871111673.1649 12139043498.0652 15381083130.4348 15595642608.6957 16769971851.4911 17170679822.0352 20620199149.8136 21836469409.1778 21175099001.9701 24074500000 27994103972.1282 22635618279.8713 25599484282.8095 31819643262.9525

Transport services (% of commercial service imports) TM.VAL.TRAN.ZS.WT 41.2963726298 45.8845909956 50.2696310312 44.971971728 31.4730538922 34.8825950133 34.1975881262 37.2745580667 39.3271593272 47.3838589352 49.9827478043 45.3373921867 38.2167795727 35.1364942529 36.7422524565 35.4875820532 33.3045516221 31.4211676206 26.9703636406 26.1109818036 24.8593305521 30.7091640911 28.0919342397 26.5444679218 34.1206665026 38.6342302327 39.464371015 49.6341113579 28.8142459712 33.8785849315 38.149899923

Travel services (% of commercial service imports) TM.VAL.TRVL.ZS.WT 12.2835943941 11.8790953287 12.3462630085 12.5274189617 11.7964071856 13.7981118373 11.8506493506 13.2468113672 13.6458136458 14.1742963717 15.1976160602 14.7894469812 16.0396039604 17.0617816092 16.4172335601 16.2346890438 14.8698655483 17.7023830114 19.3820872326 20.7826716291 21.8375099087 19.613804431 17.9514427528 17.0075321562 16.4141163984 19.03393857 20.3696857671 19.8408464739 23.4857320908 24.9791509094 22.8749153687

Net barter terms of trade index (2000 = 100) TT.PRI.MRCH.XD.WD 182.55813953 182.14285714 172.15189873 173.07692308 156.75675676 108.45070423 96.202531646 81.818181818 81.720430107 94.897959184 91.262135922 88.571428571 88.349514563 84.905660377 90.350877193 97.321428571 99.047619048 81.818181818 66.326530612 100 100.8419693 100.59136645 102.84417692 104.85491794 106.85401025 113.02530568 116.38665333 123.70053624 119.79848963 127.06696959 134.10054736

Export volume index (2000 = 100) TX.QTY.MRCH.XD.WD 24.555368408 25.801079165 23.490863519 25.028216811 26.098340952 25.792408509 30.949830544 36.29413499 42.967380651 46.934992494 44.439390383 49.90362446 58.791539363 65.135591985 71.636297298 70.979244142 73.564029089 82.719177031 97.071885699 120.51826867 100 91.218670477 94.897376301 93.549496046 91.722598482 94.78319377 98.835026018 101.71613704 95.477441611 94.652548748 109.06222942 113.62240718

Agricultural raw materials exports (% of merchandise exports) TX.VAL.AGRI.ZS.UN 45.5693749704 28.5154957653 27.7727548809 28.8772337775 34.7826902094 31.3607910168 24.5824772236 30.8228299375 16.5069145565 12.3133394891 15.7362576697 14.560975153 15.1766028748 18.3263188267 14.1400452262 8.2171883728 5.7633012855 6.325035346 6.6960679903 5.9769515694 7.7234643703 9.3730428719 10.506323697 9.2745181741 5.0168884882 5.1967536731 4.6496423996 4.1751984568 4.8774926851 6.6373492356 5.83042185 4.6339118847 4.5226809986 3.7654376221 3.6137568908 3.6034027539 4.3346744168 4.9566323923 4.984031583 5.05220915 6.4141816199 6.2549941609 6.433799857 4.5264827883 6.5392722065 7.5204744261

Food exports (% of merchandise exports) TX.VAL.FOOD.ZS.UN 16.8253820057 23.5191711992 23.9236428538 16.268878309 19.5607290604 22.1276840776 16.9975147705 12.5842487198 8.0564015772 8.0580749715 9.1199838707 12.2335998098 10.8467900518 9.6033539845 7.6483092416 5.07642747 4.8624147786 6.1649268689 7.27386056 9.9639243922 13.5894862227 12.1837819993 13.8219286316 12.0325400677 11.1576911838 11.2602012395 10.2326488614 10.8328388546 12.7441428351 11.3926374257 11.1957232469 11.4172301879 11.4029818768 11.8287584024 8.9459332846 8.9462294798 11.5088615514 11.3788151724 12.2916857255 11.6842591576 11.6821057626 14.7066229664 17.6860597394 17.2996368972 16.3640152797 16.3271642181

Fuel exports (% of merchandise exports) TX.VAL.FUEL.ZS.UN 31.7117654113 36.0096995004 40.7080930817 47.3464153511 32.8264822248 39.8455332123 51.3646813111 50.1018984258 70.1740748396 74.871904829 70.2883773555 67.9887775981 68.5914524409 65.2046434663 71.8573478411 79.8030840602 82.4143103724 76.3563450974 71.6522724364 66.5968159257 54.7587810373 48.9829556007 39.503936769 40.2301371414 43.9838722617 38.5193004447 33.3384762266 28.3574552978 26.369909201 25.3643605238 25.8324536198 24.6413082931 19.0645877753 22.971273319 25.3711968097 25.5202734514 24.4193846194 25.7714000733 25.7994775222 27.6144743605 27.2436444078 25.386733245 29.1000092317 28.4204837869 29.7269104873 34.1410761973

ICT goods exports (% of total goods exports) TX.VAL.ICTG.ZS.UN 12.1903743102 10.823090948 11.0242727557 9.3145749399 9.1177931933 8.1062710209 6.0893134299 5.2808182076 4.7562764182 5.9401687703 5.0713129356

Insurance and financial services (% of commercial service exports) TX.VAL.INSF.ZS.WT 0.0378891948 0.0528849976 2.5907042608 3.0382535814 1.9366078947 2.5529447817 2.2027990125 1.5751713713 2.1859938876 2.157272963

Manufactures exports (% of merchandise exports) TX.VAL.MANF.ZS.UN 0.2705810721 2.0820751988 1.4451530259 1.3853007383 1.1520004557 1.4062746277 1.7267766225 1.8870772106 0.8247257089 1.1970105554 1.3912202459 1.6396637781 1.7733163911 2.8751300458 2.2850789207 3.0203440195 3.6261536515 6.5260379641 10.0573273072 13.0397173029 19.2907156627 25.0229032367 29.7494048407 31.9425037655 35.4530793189 40.794093638 47.5235543866 53.0857642237 51.8352050389 50.6138696804 51.4326955058 42.3406594119 44.987783819 54.4418508422 57.1215032173 56.4286041831 54.4284811559 52.1126561819 50.4801272225 47.1762001035 44.687299935 42.9298677601 38.8124438692 40.5809686213 37.4977899858 34.1607950234

Ores and metals exports (% of merchandise exports) TX.VAL.MMTL.ZS.UN 5.6202599101 8.1996793934 5.9615620311 5.5450598525 11.4199468936 4.8661716376 4.9533858505 4.3432700327 4.3228734942 3.5237333717 3.410890587 3.4550364569 3.4486851512 3.7326579194 3.9208664916 3.612627208 3.0680727694 3.5031779214 3.5710165689 4.2522939419 4.5575705651 4.436859613 6.4155461742 6.5117473833 4.3804811534 4.2168717026 4.2465761693 3.5428082636 4.1624644807 5.9817624822 5.7005391041 4.7565540943 4.412370896 4.7011518875 4.9298745464 5.4878742111 5.2641104704 5.7274911164 6.4345005424 8.4673303062 9.9683062866 10.7186528633 7.9633887428 9.1697031321 9.8664120668 7.8470105783

Merchandise exports to economies in the Arab World (% of total merchandise exports) TX.VAL.MRCH.AL.ZS 0.3949175824 0 0 0 0.0845785171 0 0.1359311282 0.1223054579 0 0.0117924528 0 0 0.321652277 0 0.0511791405 0.1985328283 0.1837030797 0.635239667 0.6450338407 0.4814327438 0.3530635332 0.6102401062 0.6229081858 0.9795476476 1.1916008343 1.7933243407 2.299013551 1.7706581635 2.8274823024 2.9882180289 2.9784773461 3.7014945496 4.0222492985 4.1465497787 3.7895881842 3.4467950811 3.3378427569 3.7300698611 4.0388630818 3.8628155993 3.3000821023 3.7399353986 3.597512422 3.1138808078 3.0955520388 3.08447277 3.2123493834 3.5629470747 4.1238919467 3.5402839452 3.027022292

Merchandise exports (current US$) TX.VAL.MRCH.CD.WT 841000000 784000000 682000000 696000000 724000000 708000000 679000000 665000000 731000000 854000000 1108000000 1234000000 1777000000 3211000000 7426000000 7102000000 8547000000 10853000000 11643000000 15591000000 21909000000 22260000000 22293000000 21152000000 21902000000 18590000000 16075000000 17135000000 19465000000 22160000000 25675000000 29142000000 33967000000 36823000000 40055000000 45417000000 49814000000 56298000000 50370000000 51243000000 65403000000 57361000000 59166000000 64108000000 70766610000 86996064000 103527000000 118013000000 139606000000 119646000000 158074492000 201472259000

Merchandise exports to high-income economies (% of total merchandise exports) TX.VAL.MRCH.HI.ZS 87.6201923077 77.5064935065 72.6033553026 74.5812518366 76.5858471948 75.2342511172 86.905301314 90.7812261122 80.6024096386 87.5825471698 88.9592187359 90.562819784 89.8651317646 90.7796101949 96.0821021159 95.481618113 96.3891229056 96.3867862773 94.4411997114 96.8071380428 96.6094040798 95.4742275402 96.9265692237 96.0973428417 95.8236923653 94.779636606 93.8011032564 93.3770518512 91.8039130704 90.7596012995 90.9135378093 88.8890016656 88.1682705899 87.3970553447 86.9125426819 80.1514065872 83.6156101086 80.8803553197 79.1570371914 80.7686845644 80.837556544 80.3952034788 77.8407220533 75.7324877518 73.9724715236 72.3339454901 71.4682727948 68.5639985591 67.4209633291 63.4597654258 63.0994374132

Merchandise exports to developing economies outside region (% of total merchandise exports) TX.VAL.MRCH.OR.ZS 3.073489011 4.8831168831 6.1414020371 5.406993829 4.8914575698 4.9012541444 5.4976589639 2.7060082556 2.2489959839 1.8985849057 2.1701781355 0.8527572484 0.7392359348 0.3467016492 1.3010276233 1.3291843258 1.2906018909 1.8891234799 1.9771876181 1.4051417017 1.9920264205 1.8475197709 0.8146066161 1.2214926216 1.7940187206 2.4704560966 3.0538732133 2.7080654265 2.9580211752 3.2914631528 2.9667885893 3.4451198222 3.4536694037 4.061733833 4.8991591358 5.6828207616 5.2953374676 6.4376988773 7.7478180308 8.1130125852 7.5805416622 8.0972177983 8.8757702904 9.1087718584 9.6895892693 10.4477405625 10.5932573778 12.4905197362 13.4677194748 14.0740585859 14.252951364

Merchandise exports to developing economies in East Asia & Pacific (% of total merchandise exports) TX.VAL.MRCH.R1.ZS 9.3063186813 14.9480519481 17.1060515279 13.7672641787 12.1652100367 9.2114747009 5.3919347531 4.7240483107 7.6974564926 7.5943396226 5.6153359255 4.718590108 2.2064217595 1.1556721639 1.4101200016 1.4826600583 1.3420855565 1.4004775822 2.0467585117 1.7248130436 1.2703901033 2.2427268871 1.7739924661 1.7910518016 1.7844347997 2.4914149367 3.0525228382 3.667002217 4.9166202299 5.5004399528 5.917134938 7.3517111586 7.8469072461 7.7908519962 7.9390602769 9.8499573311 10.393858627 10.9999241692 11.1936464628 11.0707232672 11.479731834 11.3296265451 13.1479359268 15.0730352022 16.3018019122 17.2083675911 17.8298355862 18.8842041246 19.0642354443 22.4118108761 22.5932794681

Merchandise exports to developing economies in Europe & Central Asia (% of total merchandise exports) TX.VAL.MRCH.R2.ZS 0.4907271979 0.6713653209 0.3597448422 0.575936985 0.6864264532 0.4958191127 0.5775817807 0.6509615196 0.8115176126 0.9822586974 0.9584423708 1.2853468378 1.3058859769 1.6687955399 1.4318253164 1.3074172501 1.5310578856

Merchandise exports to developing economies in Latin America & the Caribbean (% of total merchandise exports) TX.VAL.MRCH.R3.ZS 0.5151098901 0 0 0 0 0 0 0 0 0 0 0 0 0 0.096971003 0.0098562397 0.0128709164 0.0184394678 0.0687119937 0.0661167635 0.7011093676 0.7269962999 0.0737301655 0.1299159783 0.0862552883 0.0752368618 0.2673742632 0.1803825273 0.1620126721 0.1880358387 0.340596195 0.5470832084 0.7871612014 1.1522475602 1.3134198469 1.582173836 1.4589215886 1.6679319382 1.7930266232 1.6208141328 1.651429049 1.6427834725 1.6393058828 1.3514208137 1.5104250669 1.4863012046 1.6419160932 1.6707907325 1.6809792515 1.7335375599 2.1527335025

Merchandise exports to developing economies in Middle East & North Africa (% of total merchandise exports) TX.VAL.MRCH.R4.ZS 0.4292582418 0 0 0 0.0845785171 0 0.1359311282 0.1223054579 0 0.0117924528 0 0 0.321652277 0 0.0646473353 0.1957167598 0.1684919966 0.6306298 0.5883464459 0.2747376192 0.2700434259 0.2041133459 0.3056450496 0.441526042 0.6580959031 0.8109458886 1.205209747 1.0008320871 1.1975522671 1.4968327798 1.1870358262 1.3963858721 1.1074913812 1.1014595813 1.258515959 1.3513279668 1.0096408066 1.146841334 1.4403021942 1.4430212458 1.2414801707 1.3518593401 1.3034807129 1.1478745317 1.4404509195 1.4091084724 1.4336236704 1.6507950808 2.1516085651 1.7303578756 1.4768510872

Merchandise exports to developing economies in South Asia (% of total merchandise exports) TX.VAL.MRCH.R5.ZS 1.6998626374 0.5584415584 0.2246854404 0.9991184249 0.8175923315 0.3315554274 0.8760006041 0.259899098 0.0133868809 0.0117924528 0.0090424089 0 0.028215112 0.1686656672 0.4983232097 0.6927528477 0.4504820743 0.7781455427 0.5187755523 0.4082549668 0.3913805058 0.3107898683 0.1992948715 0.2212337311 0.4308200642 0.6765943497 0.8264295408 0.826268351 0.9091284337 0.8201171492 0.7830996756 0.770746465 0.8877065898 1.118905974 1.4679430573 1.5335230916 1.7850723076 2.1784847251 2.6159294959 3.0299186576 2.8149764561 2.8998750834 3.484312956 4.0786046531 4.387751975 4.9532255302 4.9713386626 6.1084283006 6.8145077547 7.8812890637 7.6156491248

Merchandise exports to developing economies in Sub-Saharan Africa (% of total merchandise exports) TX.VAL.MRCH.R6.ZS 0.3262362637 0 0 0 0 0 0 0 0 0 0 0 0 0 0.2909130089 0.0323847876 0.1837030797 0.1078708868 0.2164427801 0.1097666656 0.1706017589 0.0264591374 0.0638994767 0.0169455624 0.0424430784 0.2052891514 0.1937788221 0.1297590439 0.4029678245 0.2666922161 0.2141672263 0.4262431936 0.466072171 0.415980879 0.3685530747 0.5444305463 0.6819579227 0.8685038949 1.2121332643 1.5234394362 1.2950742057 1.5517383827 1.637153126 1.5486131626 1.392518937 1.3137585176 1.2404929707 1.3917100824 1.3887985901 1.4214568341 1.4766597633

Merchandise exports by the reporting economy, residual (% of total merchandise exports) TX.VAL.MRCH.RS.ZS 0 2.6623376623 4.1491911324 6.2444901557 6.3574851988 10.6530200375 2.205104969 1.7887173215 9.4511378849 2.9245283019 3.2552672032 3.8658328596 7.1892105412 7.718015992 1.2067502593 1.706537503 0.9781896471 0.3236126605 1.5348541588 0.0629072119 0.1281793964 0.4355258019 0.4848316941 0.8901127351 0.5978541145 0.2584923608 0.0925006921 0.2478805053 0.3214455245 0.4484955948 0.2025386634 0.3141673536 0.5311527602 0.750358826 0.2492379054 4.3158153201 0.6951937968 1.6820216339 1.901498315 0.0475795833 0.1021699598 0.1779521778 0.1355717296 0.0857051876 0.036137295 0.0099463563 0.1086342413 0.0612775801 0.0470817518 0.0543651122 0.0543317548

Merchandise exports by the reporting economy (current US$) TX.VAL.MRCH.WL.CD 582400000 770000000 667600000 680600000 709400000 693700000 662100000 654100000 747000000 848000000 1105900000 1231300000 1772100000 3201600000 7424900000 7102100000 8546400000 10846300000 11642800000 15578500000 21922400000 23810300000 22378900000 21244500000 21911700000 18607900000 14810700000 17185700000 19381200000 21943887550 25690336910 29200273660 33997603990 36856518830 40084593000 45479263000 49909630900 53453716640 48863206750 48671016870 62138751080 56336371500 57168555900 61075382340 71587618920 85660243030 100842265500 114111539400 137022025700 116509775200 157791112000

Merchandise exports to developing economies within region (% of total merchandise exports) TX.VAL.MRCH.WR.ZS 9.3063186813 14.9480519481 17.1060515279 13.7672641787 12.1652100367 9.2114747009 5.3919347531 4.7240483107 7.6974564926 7.5943396226 5.6153359255 4.718590108 2.2064217595 1.1556721639 1.4101200016 1.4826600583 1.3420855565 1.4004775822 2.0467585117 1.7248130436 1.2703901033 2.2427268871 1.7739924661 1.7910518016 1.7844347997 2.4914149367 3.0525228382 3.667002217 4.9166202299 5.5004399528 5.917134938 7.3517111586 7.8469072461 7.7908519962 7.9390602769 9.8499573311 10.393858627 10.9999241692 11.1936464628 11.0707232672 11.479731834 11.3296265451 13.1479359268 15.0730352022 16.3018019122 17.2083675911 17.8298355862 18.8842041246 19.0642354443 22.4118108761 22.5932794681

Export value index (2000 = 100) TX.VAL.MRCH.XD.WD 38.551928401 40.507694289 35.941021183 34.038374863 35.232760286 29.91919387 23.831369519 27.583542592 30.936514069 35.670594295 41.328633057 46.909406993 54.676131608 59.273388707 64.472667568 73.108621467 80.184791707 86.027944112 78.628227416 78.336874638 100 87.704679927 90.456678949 98.015502928 109.75124987 131.75806871 158.2185393 181.52185546 213.44198633 182.92537496 241.67749629 308.0281927

Computer, communications and other services (% of commercial service exports) TX.VAL.OTHR.ZS.WT 34.0757238307 30.753968254 18.315018315 10.701754386 30.0947867299 18.7203791469 9.3896713615 3.0679327977 10.2933333333 10.6511254019 8.0085046067 7.4019463285 4.7189272821 2.2435897436 2.115312617 4.3020736614 2.1201413428 1.9585253456 2.2459837319 1.6993667444 1.5853909174 2.6625212717 4.8158400909 37.2063133618 38.3853251795 39.0159568836 34.8942760831 28.7088697319 34.7330320288 38.4498321154 40.7815348646

Commercial service exports (current US$) TX.VAL.SERV.CD.WT 449000000 504000000 546000000 570000000 844000000 844000000 1065000000 1369000000 1875000000 2488000000 2822000000 3391000000 3878000000 4680000000 5342000000 6462000000 6792000000 4340000000 4452392000 5060708660 5361453700 6519008950 5143235558.54 11754718769.0249 12571366733.0715 11092836674.7114 12073900000 14731317774.4984 12618385960.2142 16210683055.5829 19940608534.9568

High-technology exports (current US$) TX.VAL.TECH.CD 101180000 144306712 224574514 493821102 882872278 1375925745 1685982037 2291795910 2611199836 2256518817 2728364531 5774419213 4471258542 5158848176 4680910343 5902813446 6671058414 6034485448 5356419372 5762686044 6038545109 6673355345

High-technology exports (% of manufactured exports) TX.VAL.TECH.MF.ZS 1.45487217 1.5928969224 1.898487722 3.0728782454 4.5387316754 6.6515058469 7.3415905956 8.9607985787 11.5880768805 10.3691016886 10.3725383181 16.3736278945 14.1783336066 16.6700261646 14.7789429197 16.3909442411 16.5489201578 13.469933495 11.002179239 10.9027720271 12.8744760763 11.3642254212

Transport services (% of commercial service exports) TX.VAL.TRAN.ZS.WT 15.144766147 13.6904761905 9.1575091575 8.5964912281 4.9763033175 4.6208530806 3.8497652582 3.2140248356 2.88 2.8135048232 2.8703047484 2.6245945149 1.1346054667 16.2279267925 16.6393312198 19.3867953034 22.6065907504 18.9496494612 18.2745426084 19.00867303 19.3286259049 16.4424456223 17.1779938275

Travel services (% of commercial service exports) TX.VAL.TRVL.ZS.WT 50.7795100223 55.5555555556 72.5274725275 80.701754386 64.9289099526 76.6587677725 86.7605633803 93.7180423667 86.8266666667 86.5353697749 89.1211906449 89.9734591566 94.1464672512 97.7564102564 97.884687383 95.6979263386 97.8798586572 98.0414746544 97.7540162681 98.3006332556 98.4146090826 81.071662741 78.4919436917 40.816187074 35.9698304887 40.0977857605 44.2782365267 50.0796582256 44.3631706951 42.9217283747 39.8831983449

Battle-related deaths (number of people) VC.BTL.DETH 84 73 34 39 45 38 112 282 213 112 478 738 213

Internally displaced persons (number, high estimate) VC.IDP.TOTL.HE 1259841 1100000 600000 500000 600000 250000 200000 120000 120000 200000

Internally displaced persons (number, low estimate) VC.IDP.TOTL.LE 580000 342000 150000 100000 70000 70000

Intentional homicides (per 100,000 people) VC.IHR.PSRC.P5 8.1

Presence of peace keepers (number of troops, police, and military observers in mandate) VC.PKP.TOTL.UN

Tabel 1
Indonesia: Indikator Sosial Ekonomi 1960an - terkini
	1960	1970	1980	1990	2000	2010	terkini*)
Ekonomi
PDB per kapita (2010USD)	577	660	1096	1653	2143	3125	3956
PDB per kapita (harga konstan dan 1960=100)	100	114	190	286	371	542	686
PDB per Kapita (current USD)	54	81	517	620	773	2951	3605
Konsumsi RT per kapita (2000 USD)	104	123	178	310	477	648	671
Indeks Produksi Pangan (1961=100)	100	134	193	309	385	603	na
Sosial
Angka Harapan Hidup (tahun)	45.1	51.8	57.8	62.1	65.7	68.9	69.1
Tingkat Kematian bayi (per 1000 kelahiran)	128.1	102.5	75.7	54.1	37.6	25.8	22.8
Angka Kematian Kasar ( per 1000 orang)	20.1	14.6	10.6	8.4	7.4	7.0	6.9
Tingkat Buta Huruf orang Dewasa (% penduduk)	57.1	39.1	28.8	15.9	10.1	7.4	na
Expected Years of Schooling (tahun)	na	na	8.7	10.4	11.1	12.0	12.9
Mean years of Schooling (tahun)	na	na	3.1	3.3	4.8	5.8	7.9
Human Development Index (Indeks=100)	na	na	42.3	48.1	54.3	61.3	68.9
Sumber: BPS, Bank Dunia dan UNDP Database