Nss 64 insights

National Sample Survey 64th Round

Insights into Datamining and evaluating factors for Sectoral growth

Agenda

• To Data mine the NSS data for evaluating socio economic variables for understanding:– Education– Health– Employment and Income– Rural livelihoods and governance issues– Income and consumption– Sectoral growth driving State Domestic Product growth in

Karnataka, Rajasthan, Uttarakhand, Chattisgarh and Madhya Pradesh

National Sample Survey- A Brief• NSSO has been conducting multi-subject integrated sample surveys since

1950.• Mainly four types

• Household Surveys• Enterprise Surveys• Village Facilities• Land & Livestock holdings

• There is a well defined cycle of the surveys extending over a period of 10 years.

• The surveys are conducted through interviews of a representative sample of households selected randomly through a scientific design and cover almost the entire geographical area of India.

The Data Model

Convert 8 text files into 7 levels

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NSS 64th ROUND DATA MODELLEVEL 2 LEVEL 3 LEVEL 1

Common Items Common Items Centre code,Round,Shift

Level Level FSU Serial number

Filler Filler Round

HH Size Person Srl No. State-Region

Religion Relation District

Social Group Sex FOD Sub-Region

Type of dwelling code Age hg/ sb Number

Type of structure Marital Status Second Stage Stratum

MPCE(Rs. 0.00) General Education HHS No.

Level

Filler

LEVEL 4

Common Items

Level

Filler

Item Code

Quantity(0.000) LEVEL 7

Value(Rs. in whole no.) Common Items

Source Level

Filler

Item Code

LEVEL 5 LEVEL 6 First-hand purchase:Number

Common Items Common Items Whether hirepurchased?

Level Level First-hand purchase:Value

Filler Filler Cost-raw material,service & repair

Item Code Item Code 2nd-hand purchase:Number

Quantity(0.000) Quantity(0.000) 2nd-hand purchase:Value

Value(Rs. in whole no.) Value(Rs. in whole no.) Total expenditure

Social Contributors to well being• For many years, using a monetary measure like GDP per capita as a proxy

for the population’s wellbeing made much sense, at least for developed countries.

• The consensus on the use of GDP per capita as a good proxy measure of well-being is, however, becoming less obvious also for economists, as the more developed societies move from a situation of scarcity to a situation of plenty.

• While the level and change in gross domestic product (GDP) per capita have long been used as the main yardstick for measuring and comparing living standards across countries, policy makers and citizens are concerned with much more than just GDP per capita.

• An alternative measure of well being are social indicators. • Social indicators focus on observable outcomes in a variety of fields

health, literacy, and poverty.

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Literacy RateLit

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Rural_MPCE on medical expenses Urban_MPCE on medical expenses

State-wise Institutional and Non-Institutional Medical Expenditure

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732 765 772 977

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State-wise MPCE Distribution

India’s Sex Ratio• The rise of boy child population in India for the past twenty years parallels

the experience of other Asian Countries such as China and South Korea. • The new technology has aggravated the social problem of bias against girl

child and continues to have caused the drastic reduction in the proportion of female children.

• India's sex ratio, among children aged 0-6 years, is alarming. The ratio has declined from 976 females (for every 1000 males) in 1961 to 914 in 2011.

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Urban_sex ratio Rural_sex ratio

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Urban_0-6yrs Rural_0-6yrs

Andaman and Nicobar District Analysis – 1-6 years female population

State Code State Sector Age District Total Females

35 Andaman & Nicober

Urban 1 South Andaman 1556









Andaman and Nicobar District Analysis

Andaman and Nicobar District Analysis – 1-6 years male population

State Code State Sector Age District Total Males











Andaman and Nicobar District Analysis

Food and Non-Food Expenditure• Consumption is primarily of two types – lifeline and lifestyle. Lifeline may

have further division into food and non-Food like medical, education, clothing etc. while lifestyle may include entertainment, processed food, white goods etc.

• The level of MPCE has an inverse relationship to the proportion of food expenditure.

• As the income of a household increases, they tend to spend a lower proportion on food even though the overall expenditure on food may rise.

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Food Non-Food %food_MPCE

Food and Non Food Expenditure

Public Distribution System – A Brief• Public Distribution System [PDS] can be described as – an essential

element of the Government’s safety net to the poor.

• PDS mainly sells• Wheat/Atta• Rice• Sugar• Kerosene

• The PDS in the country is functioning but needs further push to ensure door-to-door delivery and probably short term credit facilities to the Fair Price Shops [FPS].

• The performance of PDS in certain states viz Rajasthan when compared to other main wheat consuming states in terms of offtakes as percent of allocation by the Central Government is the lowest.

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PDS Penetration – Rural Sector

PDS

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Rajasthan Madhya Pradesh Uttaranchal Chhattisgarh Karnataka0%

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PDS Offtakes - Rural Sector

The SEC System to analyze States• The new SEC system is used to classify households in India.

It’s based on two variables:• Education of chief earner• Number of “consumer durables” ( from a predefined list)-

owned by the family.

• The list has 11 items ranging from ‘electricity connection’ and ‘agricultural land’- to cars and air conditioners.

• We have analyzed states on the basis of their per capita expenditure on consumer durables.

MPCE V/S MPCI

• The more you earn, more you have ability to spend.

• The hypothesis was - MPCE would be highly correlated with MPCI(Monthly per capita Income)

• We found that there is 84% correlation between both of them.

State GSDP(Rs crores) MPCE POPULATION MPCI Expense RatioGoa 19565 1391 1402487 11625 0.12Pondicheri 9251 1253 827116 9321 0.13Delhi 157947 1788 12927037 10182 0.18Gujarat 329285 1088 49072794 5592 0.19Chandigarh 13669 2581 884693 12875 0.20Maharashtra 679004 1210 96457747 5866 0.21Haryana 151607 1201 21912952 5766 0.21Uttaranchal 45856 977 8553288 4468 0.22Nagaland 8075 1487 1014566 6633 0.22

Andaman & Nicober 2990 1676 336961 7395 0.23Orissa 129274 676 36154935 2980 0.23Tamil Nadu 350819 1087 61477386 4755 0.23Karnataka 270629 1098 49568006 4550 0.24Andhra Pardesh 364813 1012 74220947 4096 0.25Chhattisgarh 80255 732 22972323 2911 0.25Sikkim 2506 984 554502 3766 0.26Jharkhand 83950 725 25601937 2733 0.27Himachal Pradesh 33963 1221 6164086 4592 0.27Punjab 152245 1392 24999699 5075 0.27West Bengal 299483 877 78355392 3185 0.28Jammu & Kashmir 37099 1063 8531479 3624 0.29Meghalaya 9735 988 2457486 3301 0.30

Arunachal Pradesh 4810 1155 1050405 3816 0.30Kerala 175141 1518 29802920 4897 0.31Manipur 6783 886 2061241 2742 0.32Tripura 11797 918 3532845 2783 0.33Rajasthan 194822 906 59680275 2720 0.33Madhya Pradesh 161479 764 60629361 2219 0.34Assam 71076 858 25459497 2326 0.37Mizoram 3816 1380 859358 3700 0.37Uttar Pradesh 383026 772 174835455 1826 0.42Bihar 118923 643 77895752 1272 0.51

MPCE Vs Household Size

• There exist a negative correlation between household size and average household consumer expenditure.

• This means as household size decreases, the per capita household consumer expenditure increases.

• MPCE is negatively correlated with Household Size.

State HouseHold Size MPCE(Rs)Andaman & Nicober 3.8 1676Andhra Pardesh 3.9 1012Arunachal Pradesh 4.9 1155Assam 4.9 858Bihar 5.5 643Chandigarh 3.8 2581Chhattisgarh 5.1 732Dadra & Nagar Haveli 4.9 933Daman & Diu 4.1 1435Delhi 4 1788Goa 4.1 1391Gujarat 4.6 1088Haryana 5.3 1201Himachal Pradesh 4.2 1221Jammu & Kashmir 5.3 1063Jharkhand 5.2 725Karnataka 4.6 1098Kerala 4 1518Lakshadweep 4.9 1479Madhya Pradesh 5.2 764Maharashtra 4.7 1210Manipur 5.1 886Meghalaya 5.1 988Mizoram 4.9 1380Nagaland 5.1 1487Orissa 4.6 676Pondicheri 3.7 1253Punjab 5 1392Rajasthan 5.5 906Sikkim 4.4 984Tamil Nadu 3.7 1087Tripura 4.4 918Uttar Pradesh 6 772Uttaranchal 4.6 977West Bengal 4.4 877

MPCE Vs Literacy Rate

• The illiteracy level is believed to decline with a rise in the MPCE of the household.

• There exists a strong association between Literacy and MPCE. The correlation is 0.54.

State MPCE Literacy RateAndaman & Nicober 1676 74Andhra Pardesh 1012 56Arunachal Pradesh 1155 65Assam 858 76Bihar 643 49Chandigarh 2581 75Chhattisgarh 732 61Dadra & Nagar Haveli 933 62Daman & Diu 1435 80Delhi 1788 82Goa 1391 76Gujarat 1088 68Haryana 1201 65Himachal Pradesh 1221 75Jammu & Kashmir 1063 63Jharkhand 725 59Karnataka 1098 66Kerala 1518 85Lakshadweep 1479 77Madhya Pradesh 764 62Maharashtra 1210 74Manipur 886 76Meghalaya 988 85Mizoram 1380 89Nagaland 1487 86Orissa 676 61Pondicheri 1253 80Punjab 1392 68Rajasthan 906 53Sikkim 984 79Tamil Nadu 1087 73Tripura 918 73Uttar Pradesh 772 56Uttaranchal 977 67West Bengal 877 68

Conclusion

• Rajasthan:

– With the average Literacy rate at 63%, Rajasthan with Literacy rate of 53% lies below the average and needs to improve on this metric.

– Average MPCE of India is Rs. 955. MPCE of Rajasthan is Rs. 906. Rajasthan again lies below the average and can improve on this metric.

– Rajasthan can improve it’s PDS also.

Conclusion

• Karnataka:– In the Urban sector, the gender ratio for 1-6 years is 855 females to

1000 males while in the rural sector it is 987 females:1000 males.

• Chattisgarh:– Chattisgarh has a Literacy rate of 61% lies just below the national

average.– MPCE of Chattisgarh is Rs. 732. Chattisgarh lies below the average and

can improve on this metric.– The gender ratio for age 1 to 6 years is startling. It is an abysmal 564

females to 1000 males.

Conclusion

• Madhya Pradesh:– In the Urban sector, the gender ratio for 1-6 years is 801 females to

1000 males while in the rural sector it is 978 females:1000 males– MPCE is Rs 764 and literacy rate is 62%.– The per capita disposable income is lower in Madhya Pradesh than

other states.• Uttaranchal:

– The gender ratio for ages 1 to 6 years in urban areas is 642 females to 1000 females while in rural areas it is 865 females to 1000 males.