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VOLUME 1
2
This report reflects the work of the inter-agency Task Team on the Partner Report on Support to
Statistics (PRESS), which was composed of representatives from France, United Kingdom, European
Commission/Eurostat, Food and Agricultural Organization, International Monetary Fund,
Organisation for Economic Co-operation and Development, World Bank, and the UN Economic
Commission on Europe, under the leadership of the PARIS21 Secretariat. The Task Team was formed
under the aegis of the Committee for the Coordination of Statistical Activities (CCSA) and PARIS21.
It should be noted that the report covers only the information sent by partners or extracted from the
OECD’s Creditor Reporting System.
Please address any comments to the PARIS21 Secretariat at contact@paris21.org .
EXECUTIVE SUMMARY
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Executive Summary
PARTNER REPORT ON SUPPORT TO STATISTICS (PRESS) -- 2008
1. The purpose of this report is to present the results of the 2008 round of the Partner Report
on Support to Statistics (PRESS), based on partner responses. The key findings highlight the statistical
areas receiving support, the key recipient of this support, and the amount of financing support to
statistical development during 2006-08. Some points to be considered to improve future rounds of
PRESS are also presented. In interpreting the results cited below, it is important to keep in mind their
limitations, as enumerated under section D of the main report.
2. For PRESS 2008, the PARIS21 Secretariat reached out to a broad spectrum of development
partners to gather information on their statistical activities, active during 2006-08. The responses
received from 46 partners, out of 83, including the key supporters to statistical development,
represent an inventory of ongoing activities in support of statistical development. This information
allows an estimate of annual disbursements, by partner and by recipient country.
3. For the period 2006-08, the key financing results indicate that:
financial disbursements to statistical development amounted to roughly USD 550 million;
Sub-Saharan Africa received well over half of total statistical support, with all other
geographical regions (Asia, Europe and Central Asia, Latin America and the Caribbean, and
Middle East and North Africa) receiving around USD 50 million each;
three partners (EC, World Bank, and UK) provided nearly three-quarters of total support;
fifteen countries (Angola, Burkina Faso, Ethiopia, Ghana, Kenya, Mozambique, Niger, Nigeria,
Paraguay, Rwanda, Sierra Leone, Sudan, Uganda, Ukraine, and Vietnam) had estimated
disbursements, exceeding USD 5 million, equivalent to about half total estimated
disbursements and two-thirds of total country-specific disbursements;
for most of these recipient countries, disbursements represented less than 0.1% of their
GDP;
nearly 20% of total disbursements were not allocated to specific countries, but rather to
multi-country, regional, and global statistical activities;
EXECUTIVE SUMMARY
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the share of total active commitments that were approved prior to 2006 represent over 60%
of the total; the annual average commitment level for 2006 and 2007 was roughly USD 150
million;
the Trust Fund for Statistical Capacity Building (TFSCB) provided grants to 23 countries for the
design of a national statistical strategy and 11 others for strengthening their national
statistical system;
4. A review of the results by statistical areas shows that:
the category “general statistical items and methodology of data collection, processing,
dissemination and analysis” (category 4) received extensive support, particularly for
population censuses and household surveys, which represent over one-quarter of all
commitments. The status of the 2010 round of population censuses is as follows: 25
countries have done census; 73 are planning one; and 5 have not yet set a date for
conducting it;
the ICP-Africa program has benefited all Sub-Saharan African countries (except Eritrea and
Somalia) in the elaboration of price indices and national accounts;
Of the 78 IDA countries, 42 have designed their NSDS, of which 37 are implementing it; 19
other countries are in the process of designing a new strategy; and 17 countries have no
strategy in place;
institutional development is highly supported in a number of ways: for the design of
strategic statistical planning, strengthening the national statistical systems, human resource
development, and/or provision of technological resources;
STATCAP projects are ongoing in Burkina Faso, Nigeria, Kenya, Tajikistan, and Ukraine (with
several others being planned);
twinning arrangements between the statistical office of a development partner and that of
the recipient country are ongoing in a number of countries (Mozambique, Malawi, and
Albania), funded mainly by Denmark, Norway, and Sweden; while others are being planned
by Sweden and Canada in Sub-Saharan African and South American countries;
sector statistics and formal statistical training seem to be two key areas not receiving much
partner financial support.
5. The results of the PRESS 2008 exercise highlight a number of key messages for the period
2006-8, including:
financial support to statistics is relatively small. This was confirmed by the share of statistical
support as part of ODA bilateral commitments – less than half of one percent;
statistical support is concentrated in a few countries; as indicated above, 15 countries benefit
from half of all estimated disbursements;
EXECUTIVE SUMMARY
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partner collaboration in statistical development, though found in various forms, needs to be
strengthened. At country level, a few recipient countries have adopted a form of donor
collaboration mechanism in statistics, which could serve as examples for other countries;
the focus of much of the statistical support seems to be toward institutional development
and support to large activities (population censuses and household surveys). This could be
partly explained by underreporting of statistical components in larger projects or in projects
where the decision is taken at the country level and never reported to the partner’s
headquarters;
more in-depth studies of the PRESS results are necessary. At the country level, a comparison
of financing needs and actual support received would be useful for the financing strategy of
NSDS. A closer review of support (or lack of support) to population censuses would be
interesting for collaboration among partners, especially in countries where the census is
planned, but for which funding is not yet secured.
6. Sixteen development partners, including the major players in statistical support, provided
information on their planned statistical activities, including six STATCAP programs supported by the
World Bank and the twinning arrangements mentioned above. The reported future activities appear
to be strongly focused on strengthening institutional capacity of statistical systems, with a more
limited focus on support to population censuses and household surveys.
7. For future rounds of the PRESS, the following points should be addressed:
partners covered: place focus on bilateral, multilateral and regional organizations;
questionnaire: consider reducing the amount of information requested; ensure that the
format of the questionnaire can be accessible to all partners;
frequency of report: suggest that the PRESS report be produced every two years, though the
collection of the information be done annually;
better response rate: encourage partners to monitor their support to statistics. A number of
partners cannot respond to the PRESS because the information is found at the level of their
country offices, particularly true of UN agencies and the EC. Further thought and discussion
is required to address this issue, as many of these agencies, such as the UNDP, UNFPA and
WHO, provide significant technical support at the country level.
TABLE OF CONTENTS
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Table of Contents
VOLUME I : MAIN TEXT
Acronyms ................................................................................................................................................. 8 A Introduction and Background ..................................................................................................... 13 B Objectives and Audience of PRESS .............................................................................................. 14 C Methodology of PRESS 2008 ....................................................................................................... 15 D Limitations of the Results ............................................................................................................ 17 E Findings of PRESS 2008 ............................................................................................................... 18 1. Estimated Annual Disbursements ..................................................................................................... 19 2. Results by Recipient Country ............................................................................................................. 20 3. Results by Development Partner ....................................................................................................... 22
European Commission .............................................................................................................. 24 United Kingdom ........................................................................................................................ 24 World Bank ............................................................................................................................... 24 International Monetary Fund (IMF) ......................................................................................... 25 African Development Bank (AfDB) ........................................................................................... 26 Inter-American Development Bank (IADB) ............................................................................... 26 The Scandinavian countries ...................................................................................................... 26 Netherlands .............................................................................................................................. 27 Japan ........................................................................................................................................ 27 France ....................................................................................................................................... 27 Health Metrics Network (HMN)................................................................................................ 27 African Capacity Building Foundation (ACBF) .......................................................................... 27
4. Results by Statistical Areas ................................................................................................................ 28 Demographic and social statistics ............................................................................................ 28 Economic statistics ................................................................................................................... 29 Environment and multi-domain statistics ................................................................................ 29 General statistical items and methodology of data collection, processing, dissemination and
analysis .............................................................................................................................. 29 Strategic and managerial issues of official statistics at national and international level ........ 31 Activities covering multiple areas ............................................................................................. 32
5. Results by Key Financing Source ....................................................................................................... 33 6. Planned Activities .............................................................................................................................. 34 F Key Messages .............................................................................................................................. 35 G Some Points for Future Rounds of PRESS ................................................................................... 41 ANNEXES .............................................................................................................................................. 42
TABLE OF CONTENTS
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List of Tables
Table 1 PRESS – Number of Respondents
Table 2 PRESS – Estimated Annual Disbursements, by Partner, 2006-10
Table 3 PRESS – Estimated Annual Disbursements, by Geographical Region, 2006-10
Table 4 PRESS – Total Estimated Disbursements of Main Recipient Countries, 2006-08, per 1000
inhabitants and as % of GDP
Table 5 PRESS – Summary of Active Commitments, by Key Partner, 2006-08
Table 6 PRESS – Support to Population Censuses, 2010 Round
Table 7 Status of NSDS in IDA Countries, as of September 2008
Table 8 PRESS – Estimated Disbursements by Main Recipient Country and Financial Partner, 2006-08
Table 9 PRESS – Share of Commitments to Statistics to ODA Bilateral Grants, 2006
Table 10 Comparison of Active Commitments, LRE vs. PRESS, by Main Partner
Table 11 Comparison of Active Commitments, LRE vs. PRESS, by Key Recipient Country
Table 12 PRESS – Illustrative Examples of Partner Collaboration
List of Figures
Figure 1 PRESS - Statistical Categories, by Number of Interventions and Commitment Amount
VOLUME II: DETAILED RESULTS OF PRESS 2008, AS OF JULY 2008
VOLUME III: DIRECTORY OF DEVELOPMENT PARTNERS
ACRONYMS
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Acronyms
ACBF African Capacity Building Foundation
ACP African and Caribbean Program
ADB Asian Development Bank
AfDB African Development Bank
AFESD Arab Fund for Economic and Social Development
AFRISTAT Observatoire économique et statistique d’Afrique subsaharienne (Economic and
Statistical Observatory for Sub-Saharan Africa)
AFRITAC African Regional Technical Assistance Centre (IMF)
AIDS Acquired Immune Deficiency Syndrome
AITRS Arab Institute for Training and Research in Statistics
ALECSO Arab League for Educational, Cultural and Scientific Organization
ALO Arab Labour Organization
AOAD Arab Organization for Agriculture Development
ASEAN Association of Southeast Asian Nations
BCEAO Banque Centrale de l’Afrique d’Ouest (Central Bank of Western African States)
BEAC Banque des Etats de l’Afrique (Bank of African States)
CAN Comunidad Andina (Andean Community)
CAR Central African Republic
CARICOM Caribbean Community
CCSA Committee for the Coordination of Statistical Activities
CEMAC Central Africa Economic and Monetary Community
CISSTAT Statistical Office of Commonwealth of Independent States
CODI Committee on Development Information
COMESA Common Market for Eastern and Southern Africa
CPLP Communidade dos Paises de Lingua Portuguesa (Community of Portuguese-
Speaking Countries)
CRS Creditor Reporting System (OECD)
CWIQ Core Welfare Indicators Questionnaire
DAC Development Assistance Committee (OECD)
DANIDA Danish International Development Agency
DIAL Développement, Institutions, Analyses de Long-terme
ACRONYMS
9
DQAF Data Quality Assessment Framework
DFID Department for International Development (United Kingdom)
DHS Demographic and Health Survey
DRC Democratic Republic of Congo
EAC East African Community
EASTC East African Statistical Training Centre (Tanzania)
EC European Commission
ECOWAS Economic Community of West African States
EFTA European Free Trade Association
EMIS Education Management Information System
ENEA Ecole Nationale d’Economie Appliquée (Senegal) – National School of Applied
Economics
ENSEA Ecole National Supérieure de Statistique et d’Economie Appliquée (Côte
d’Ivoire) – National Higher School of Statistics and Applied Economics
EUROSTAT Statistical Office of the European Communities
FAO Food and Agriculture Organization of the United Nations
FASDEV Forum on African Statistical Development
GDDS General Data Dissemination System
GDP Gross Domestic Product
GTZ Gesellschaft fur Technische Zusammenarbeit – German Agency for Technical
Cooperation
HIV Human Immunodeficiency Virus
HMN Health Metrics Network
IADB Inter-American Development Bank
ICP International Comparison Program
IDA International Development Association
IDB Islamic Development Bank
IHSN International Household Survey Network
ILO United Nations International Labour Organization
IMF International Monetary Fund
ISSEA Institut sous-régional de Statistique et d’Economie Appliquée (Cameroon) – Sub-
regional Institute of Statistics and Applied Economics
LAS League of Arab States
LRE Light Reporting Exercise
LSMS Living Standards Measurement Survey
M&E Monitoring and Evaluation
ACRONYMS
10
MAPS Marrakech Action Plan for Statistics
MDG Millennium Development Goals
MECOVI Mejoramiento de la Encuestas de Hogares y la Medición de Condiciones de Vida (Program for the Improvement of Surveys and Measurement of Living Conditions in Latin America and the Caribbean)
MERCOSUR Mercado Comun del Sur -- Southern Common Market (Argentina, Brazil, Paraguay, Uruguay)
MICS Multiple Indicator Cluster Survey
NORAD Norwegian Agency for Development Cooperation
NSDS National Strategy for the Development of Statistics
NSO National Statistical Office
ODA Official Development Assistance
OECD Organisation for Economic Co-operation and Development
PALOP Países Africanos de Língua Oficial Portuguesa (African Portugues-Speaking
Countries
PARIS21 Partnership in Statistics for Development in the 21st
Century
PRESS Partner Report on Support to Statistics
PRSP Poverty Reduction Strategy Paper
SADC Southern African Development Community
SCB Statistical Capacity Building
SESRIC Statistical, Economic and Social Research and Training Centre for Islamic
Countries (Turkey)
SIDA Swedish International Development Agency
SPC Secretariat of the Pacific Community
SSA Sub-Saharan Africa
STATCAP Statistical Capacity Credit/Loan
TFSCB Trust Fund for Statistical Capacity Building
UK United Kingdom
UN United Nations
UNAIDS Joint United Nations Programme on HIV/AIDS
UNDP United Nations Development Programme
UNECA United Nations Economic Commission for Africa
UNECE United Nations Economic Commission for Europe
UNECLAC United Nations Commission for Latin America and the Caribbean
UNEP United Nations Environment Programme
UNESCAP United Nations Economic and Social Commission for Asia and Pacific
ACRONYMS
11
UNESCWA United Nations Economic and Social Commission for West Asia
UNESCO-UIS United Nations Educational, Scientific, and Cultural Organization – Institute for
Statistics
UNFPA United Nations Population Fund
UNICEF United Nations Children’s Fund
UNIDO United Nations Industrial Development Organization
UNSD United Nations Statistics Division
UNSIAP United Nations Statistical Institute for Asia and Pacific
USA United States of America
USAID United States Agency for International Development
WAEMU/UEMOA West Africa Economic and Monetary Union
PRESS
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PRESS
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PARTNER REPORT ON SUPPORT TO STATISTICS (PRESS) -- 20081
A Introduction and Background
1. Over recent years, there has been a persuasive call for stronger collaboration among
development partners in the area of statistical development. Such collaboration would contribute to
more efficient statistical systems, as well as improve the effectiveness of external resources. The
Marrakech Action Plan for Statistics (MAPS) of February 2004 promoted the strengthening of
statistical capacity building in the developing world, including the preparation of National Strategies
for the Development of Statistics (NSDS), an initiative to render national statistical systems more
responsive to policy needs and more coherent with respect to available national resources and
capacity.
2. As a step in promoting effective collaboration among development partners, the PARIS21
Secretariat has developed a Partner Report on Support to Statistics (PRESS), which collects and
analyzes information on support to statistical development by financial and technical partners.
PRESS permits an easier exchange of information on statistical activities being carried out and
planned in recipient countries. This initiative is particularly important at the present time, with the
ongoing discussions among partners on developing a Statistics for Results Facility (SRF), which would
increase support to statistics, as part of the management for results agenda. In a broader context, it
falls in line with the Paris Declaration on Aid Effectiveness, adopted at the High-Level Forum on Aid
Effectiveness of March 2005, which advocated strong commitments to harmonize and align aid
delivery by multilateral and bilateral development institutions.
3. To pilot the partner report process, the PARIS21 Secretariat launched a Light Reporting
Exercise in sub-Saharan Africa (LRE) in 2005, whose results were distributed to the 2006 meeting of
the Forum for African Statistical Development (FASDEV) and the PARIS21 Steering Committee (SC)
meeting of May 2006.2 Given the positive feedback from the LRE, a multi-partner Task Team was
created in November 2006, under the aegis of the Committee for the Coordination of Statistical
Activities (CCSA) and agreed upon by the SC, to carry forward the partner report initiative. 3
1 For this exercise, the term “development partner” refers to a technical agency or to a donor who provides
technical assistance and/or funding, and the term “recipient country” refers to a country receiving support for statistical development. 2 Relevant documents can be found on the PARIS21 website at http://www.paris21.org/documents/2293.pdf
and http://www.paris21.org/documents/2294.pdf. 3 The Task Team was composed of representatives of France, UK, EC, FAO, IMF, OECD, World Bank and UNECE,
and organized by the PARIS21 Secretariat.
PRESS
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4. The Team’s principal aim was to design and develop a partner report mechanism, which
would take into account existing reporting systems. In this vein, the Task Team conducted an in-
depth study on the potential use of the OECD’s Creditor Reporting System (CRS) for PRESS, as well as
a review of reporting systems of other development partners.4 The CRS study recognized the CRS as
the official source of information on commitments of OECD bilateral members, but cited the
following limitations: (i) the use of the “statistical capacity building” code was insufficient to capture
all statistical support; other activities, such as population censuses, are coded separately; (ii) the CRS
focus on reporting the “main purpose” of an activity, often ignoring smaller components, renders
identifying statistical activities (frequently secondary components) difficult; (iii) the information from
the CRS is available with a time delay of one year; and (iv) most multilateral agencies and regional
organizations do not report to the CRS. To address the first point, the study defined a specific search
methodology to identify statistical activities in the CRS. In view of these findings, the Task Team
concluded that CRS data be used for PRESS for past activities of OECD bilateral partners, but that for
current/future activities of these partners and for statistical support of other development partners,
information be collected through a survey. For this purpose, the Task Team developed the PRESS
questionnaire (Annex 1), which the Task Team felt would complement CRS data and provide a
greater degree of detail on statistical development support.
5. This report presents the responses of the PRESS exercise 2008, consisting of an inventory of
statistical development support by development partners to developing countries. The key findings
of the exercise highlights the type of support being provided, the key recipient of this support, and
the amount of financing to statistical development during 2006-08. An attempt to identify statistical
areas that are excluded from this support is also made.
B Objectives and Audience of PRESS
6. Under the broad objective of stronger collaboration among development partners, the
specific objectives of PRESS are to:
increase knowledge on what development partners are doing to support statistical
development;
make available this information to improve donor harmonisation and collaboration in the
statistical area with the aim of ensuring greater coherence at country level and minimizing
duplication of efforts;
increase visibility of statistical support within overall development assistance;
identify countries or statistical areas where additional support is needed, to the extent
possible.
4 In addition to the CRS, the Task Team reviewed the following reporting systems: World Bank: Country
Statistical Information Database; IMF: Technical Assistance Information Management System; UK: Project Reporting System; FAO: Field Programme Management Information System; and Eurostat/UNECE: Database for the Balkans and Central Asian countries.
PRESS
15
7. The results from PRESS will provide a better understanding of financial support to statistical
development, as well as the content of that development, and thus can be useful in designing the
assistance programs of development partners. In addition, for recipient countries, they could serve
as a basis to improve the mobilisation of resources for the implementation of the NSDS by identifying
possible financing sources in particular areas. It is clear, however, that partner financial support to
statistical development is a complement to recipient countries’ own funding efforts to support their
national or regional statistical development. PRESS will be of use to national planners to formulate
action plans for statistical development activities in the international context. Thus the intended
audience of PRESS encompasses both national and international stakeholders, including the
international donor community, NSDS design teams, and other national policymakers and planners.
C Methodology of PRESS 2008
8. For the first round of PRESS – PRESS 2008 – the Secretariat of PARIS21 reached out to a
broad spectrum of development partners considered supporters to statistical development in the
developing world. A total of 83 partners were included, of which 20 were bilateral donors, 20
multilateral agencies, 17 regional organizations, 18 sub-regional organizations, 6 statistical training
centres, and 2 foundations (Annex 2). The PRESS 2008 survey requested information on active
commitments for the period 2006-085, as well as for information on any planned operations.
9. In keeping with the conclusions of the CRS study, the commitments from bilateral partners as
of end-2006 were extracted from the CRS, using a “search” methodology, defined by the CRS study.6
To complete this information for 2007 and for planned activities, staff of bilateral development
agencies and/or national statistics offices were requested to complete a shorter version of the PRESS
questionnaire.7 All other partners received the PRESS questionnaire found in Annex I for completion.
10. The PRESS questionnaire comprises three parts: (i) a general information sheet on the
partner, (ii) a project/program information sheet for each project/program that the partner was
supporting during 2006-08 in a country, and (iii) an information sheet for planned activities. The
information requested on each project/program includes the objectives, statistical areas supported,
the time period, the type of assistance provided, the type and amount of funding, problems
encountered, and the institutional contact person. Explanatory notes on the classification of
statistical areas and financial typology, prepared by the Task Team, accompany the questionnaire.
For planned activities, the questionnaire requests only the statistical areas supported, the time
5 The period 2006-08 refers to the three calendar years, during which technical and financial partners had
active commitments with recipient countries. 6 The CRS study can be found on PARIS21’s website at http://www.paris21.org/documents/2951.pdf.
7 For information, the PRESS Task Team discussed the objectives and modalities of the PRESS with the Working
Party on Statistics (WP-STAT) of the OECD at its informal brainstorming session on “Parallel Reporting Systems” in June 2008.
PRESS
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period, and a financing estimate, as well as the operational status of the project/program
(identification, preparation/appraisal, or approval stage). The questionnaire was sent as an Excel
spreadsheet document, which could be loaded into the Access database (Annex 1 presents the
questionnaire in Word-format).
11. The financial amounts were converted to US dollars by using the period average exchange
rate of the commitment year of the project/program (source: International Finance Statistics of the
IMF – See Annex 3). In cases where the disbursement amounts were reported (particularly
applicable to UK projects), the exchange rate used was the period average of the disbursement year.
12. The geographical coverage of PRESS 2008 is all African countries and countries with gross
national income per capita up to USD 3,705 (using the World Bank Atlas method, 2008), totalling 119
countries (see Annex 4). In effect, this includes low income countries (USD 935 or less) and lower
middle income countries (USD 936 to USD 3,705). Small island economies with higher income levels,
such as Dominica, Grenada, St. Lucia and St. Vincent and the Grenadines, have also been covered,
since they are eligible for IDA lending.
13. For projects with financing greater than USD500,000 and which were reported as having a
statistical component, a “quality” review was carried out to verify the statistical relevance of the
component. In all, this review included 36 projects, of which 15 were retained in the database and 8
were removed since the statistical component did not fit statistical classifications. The remaining 13
projects were found to have statistical capacity building aspects, but the financing of the statistical
component was unknown. In these cases, the projects were kept in the inventory, but without the
financing amount, simply for information purposes.
14. In addition to the PRESS results, this report includes findings from partners’ websites for a
number of activities that were not directly reported by the partner, namely the (i) DHS, financed
mainly by the US; (ii) the MICS3 of UNICEF; (iii) the 2010 round of population census managed by
UNSD; (iv) agriculture censuses supported by the FAO; (v) the household surveys under the MECOVI
program and the CWIQ surveys, managed by the World Bank; (vi) the GDDS, managed by the IMF and
the World Bank; and (vii) NSDS status, joint monitoring effort between PARIS21 and World Bank.
This information is provided in the spirit of information exchange and to supplement partners’
reporting (Annex 9).
PRESS
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D Limitations of the Results
15. The responses received from partners represent an inventory of ongoing commitments in
support of statistical development during 2006-08. The results presented below represent the
responses of 46 (out of 83) development partners (see Table 1). Among the partners who responded
to the PRESS questionnaire, two reported no specific statistical development activities (Greece and
World Trade Organization), two that the information was not available at HQ but at their country
offices (UNFPA and WHO -- this appears to be true for a number of UN agencies), and two sub-
regional organizations (CEMAC and CARICOM) and the PARIS21 Secretariat reported activities that
were also reported by the financing partner. For the bilateral partners who did not respond to PRESS
(Japan, Luxembourg, New Zealand, Portugal and Spain), CRS data is presented.
TABLE 1: NUMBER OF RESPONDENTS
16. The following limitations should be kept in mind when reviewing the results of this exercise:
Levels of statistical support may be overestimated, because:
o identifying statistical support in operations with budget support and in non-
earmarked sector support is virtually impossible (in these cases, estimates have been
made);
o identifying the amount of financing allocated to statistical activities in multi-sector
operations is often difficult (those projects that have small statistical components,
but whose financing is unknown are included in Volume II for information purposes);
o double-counting, especially for activities financed and implemented by different
organizations, may occur. Cross-referencing efforts were taken to minimize this
problem, but further verification with both financial partners and intermediaries
would be necessary. An example of this is the IMF-managed component of the GDDS
program, financed by the UK. Details on GDDS country allocations are not available,
and thus IMF data includes this financing of roughly USD 4 million.
Type of Partner Number Contacted
Number of Respondents
Bilateral donor 20 14
Multilateral organization 20 15
Regional organization 17 10
Sub-regional organization 18 6
Training institute 6 1
Foundation 2 -
Total 83 46
PRESS
18
Levels of statistical support may be underestimated for the following reasons:
o management information systems of partners do not routinely record or report on
statistical support, implying that the responses to the questionnaire rely on the
respondent’s knowledge of their agencies’ projects. This is likely to be incomplete,
especially for partners that operate with decentralized project budgets;
o some partners did not report the amount of financing for the reported activities,
especially true of sub-regional organizations and some UN agencies;
o the amount of financing for a number of known statistical activities, such as the DHS
and the MICS, has not been reported by country (Annex 9 shows the latest
information on these activities, as found on the respective websites);
o 38 partners, as mentioned above, did not respond to the questionnaire. This point is
not too serious, since the major supporters to statistical development did provide
information.
Total commitments to active projects/programs supported by development partners during
2006-08 may cover a longer period than 2006-08, thus financing totals should not be
aggregated. To address this issue, an estimate of annual disbursements has been calculated
for each project/program, based on its time period (see tables below);
Commitments, rather than disbursements, were requested because disbursement
information is often less readily available and more difficult to compare, given the different
“fiscal years” used by partners;
Most of the information provided represents activities at the approval stage, not necessarily
activities actually implemented, implying that actual disbursements may differ from original
commitments.
E Findings of PRESS 2008
17. Volume I of this report presents a summary of the key findings of the PRESS 2008 exercise
and highlights some key messages for future rounds of PRESS. Volume II provides the detailed results
of PRESS 2008, broken down in four ways: (i) by recipient country, (ii) by development partner, (iii)
by statistical area, and (iv) by recipient country and key financing sources. In addition, Table V
presents partners’ planned activities, by recipient country. A Directory of Development Partners,
providing information on each partner’s overall goals and objectives, main areas of intervention, and
institutional structure and contacts, is presented as Volume III. The responses to the questionnaire
and the information extracted from the CRS, totalling about 775 activities, have been stored in an
Access database, housed at the PARIS21 Secretariat.8
8 Activities refer to any reported partner intervention, be it a project/program, technical assistance missions, or
training activities.
PRESS
19
1. Estimated Annual Disbursements 18. Total reported commitments supporting statistics that were active during the period 2006-08
amounted to roughly one billion USD. Clearly, this amount aggregates commitments that were made
in different years, vary in duration, and whose amounts may have changed during the life of the
activity. It is thus not very useful figure per se. In order to permit aggregation of partner financing,
an estimate of annual disbursements to statistical development by development partner was
calculated. This was done by distributing each statistical activity reported (or extracted from the CRS)
over the course of its project life on an annual basis. A summary of this exercise is presented in
Tables 2 and 3, broken down by key development partner and geographical region, respectively.
These tables cover the period 2006-10, even though many of the reported activities became
operational before 2006 and have a project life of greater than 5 years (the amounts for 2008-10 are
shown in italic to indicate that they include only partial commitments for 2008). For information
purposes, Annex 5 gives the estimated annual disbursements of the reported activities for the period
2006-15.9
TABLE 2: PRESS -- Estimated Annual Disbursements, by Partner, 2006-10 * (USD million)
PARTNER 2006 2007 2008 2009 2010 TOTAL
EC ** 66.4 77.0 68.1 34.7 8.5 254.7
World Bank 24.8 32.5 30.6 26.2 18.3 132.4
UK 30.6 31.5 25.2 14.0 9.4 110.7
IMF *** 5.5 9.9 4.3 19.7
AFDB 5.2 1.9 0.6 7.8
Other bilateral partners
30.6 21.2 12.4 9.2 5.9 79.3
Other partners 21.9 30.5 22.0 13.4 2.5 89.9
TOTAL 185.0 204.5 163.2 97.5 44.6 694.8
Total 06-08 552.7
9 It should be noted that total disbursements may not equal total commitments due to changes over the course
of the project/program’s life.
PRESS
20
TABLE 3: PRESS -- Estimated Annual Disbursements, by Geographical Region, 2006-10 * (USD million)
REGION 2006 2007 2008 2009 2010 TOTAL
Africa ** 104.5 119.1 85.3 49.3 26.7 384.9
Asia 14.5 9.3 10.1 5.9 4.6 44.4
Europe and Central Asia
16.1 17.5 14.4 9.5 2.0 59.5
Latin America and Caribbean
10.7 19.2 11.4 8.3 5.6 55.2
Middle East and North Africa
10.6 9.1 10.7 10.3 2.9 43.6
Unallocated**** 30.1 29.7 30.8 13.9 2.5 107.0
TOTAL 186.5 203.9 162.8 97.2 44.3 694.7
Total 06-08 553.2
* Based on projects/programs active during 2006-08.
** This amount includes an EC project to support Nigeria’s 2005 population census, for an amount of USD 144.6 million. *** IMF support includes roughly USD 4 million from the GDDS program, financed by the UK. **** Refers to activities not allocated to specific countries or regions.
19. Keeping in mind the limitations listed above, the main findings of PRESS 2008 show that for
the three-year period 2006-08:
financial support to statistical activities totalled around U$550 million;
Sub-Saharan Africa received well over half of total support to statistical development, with all
other regions receiving on average around USD 50 million each. It should be highlighted that
an EC project for Nigeria’s 2005 population census with a commitment of USD 144 million is
included in these figures, and may be misleading on the total support going to Africa. If
disbursements for this project were to be excluded for the period 2006-08, total annual
disbursements to Africa would drop by nearly a third to roughly USD 200 million;
roughly one-fifth of total support was not allocated to specific countries, but rather to multi-
country operations, as well as regional and global activities;
three partners (EC, UK, and World Bank) provided nearly three-quarters of total reported
statistical support during the period 2006-08.
2. Results by Recipient Country
20. Table I of Volume II presents the inventory of PRESS results by recipient country. As shown in
Table 4, fifteen countries had estimated disbursements exceeding USD 5 million during the period
2006-08: Angola, Burkina Faso, Ethiopia, Ghana, Kenya, Mozambique, Niger, Nigeria, Paraguay,
Rwanda, Sierra Leone, Sudan, Uganda, Ukraine, and Vietnam. For most of these countries, the high
financing level is often due to support to a large operation, namely a STATCAP, a population census
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21
or an agriculture census. To provide a rough measure of comparison, the indicators, estimated
disbursements per 1000 inhabitants and estimated disbursements as a share of GDP, were calculated
(based on 2006 population and GDP) for each of these countries. Disbursements by population range
from USD 90 for Vietnam to USD 1,110 for Mozambique, and thus it is difficult to draw any definitive
conclusion from this indicator. It should be noted that the indicator for Nigeria would fall to USD 159
(from USD 760), if the EC grant for the 2005 population census were excluded. The indicator on
disbursements as share of GDP reveals that for most of these countries, the share hovers well below
0.1%, with Mozambique, Sierra Leone, Rwanda and Niger being the exception, at roughly 0.3%.
TABLE 4: PRESS – Estimated Disbursements of Main Recipient Countries, 2006-08, per 1000 inhabitants and as % of GDP
Recipient Country
Estimated Disbursements
(USD million)
Disb. per
1000 inhabitants
(USD )
Disb. per 2006 GDP
(%)
Main Support
Angola 5.3 323 0.01 Institutional support; twinning
Burkina Faso 10.2 710 0.17 STATCAP
Ethiopia 11.3 147 0.09 Population census
Ghana 5.3 229 0.04 Poverty monitoring system; household survey
Kenya 22.3 611 0.10 STATCAP
Mozambique 23.3 1110 0.34 Population census; twinning arrangement
Niger 7.2 523 0.20 Agriculture census
Nigeria 110.0 760 0.10 Population census; STATCAP
Paraguay 6.6 1099 0.07 Economic census
Rwanda 6.7 708 0.27 NSDS implementation
Sierra Leone 5.1 881 0.35
Sudan 15.3 406 0.04 Population census; institutional support
Uganda 5.5 186 0.06 Institutional and policy support
Ukraine10
16.8 359 0.02 STATCAP
Vietnam 7.6 90 0.01 Information technology
10
The STATCAP to the Ukraine is a World Bank loan, representing non-concessional aid.
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22
General Data Dissemination System
(GDDS)
The UK’s support to the second phase of the GDDS
Project in 21 Anglophone African countries and
Mozambique covers the period May 2006 to
October 2009, focusing on statistical capacity
building consistent with national priorities. The
implementation of the System of National Accounts
1993 and establishing the production of basic
source data underlying the national accounts are
two important priorities. The two objectives of the
GDDS Project are to (i) build national capacity to
compile and disseminate key data series and its
metadata; and (ii) strengthen governance and
decision-making in the private and public sectors
through timely and transparent dissemination of
high quality data. This Project, designed within the
framework of the GDDS, is administered jointly by
the IMF, covering macroeconomic and financial
statistics and the World Bank, covering socio-
demographic statistics.
BOX 1
21. Some other highlights from the PRESS 2008
results include:
The GDDS project is assisting 21
Anglophone African countries and
Mozambique in strengthening statistical
capacity in the areas of macroeconomic
and socio-demographic statistics (see
box);
STATCAP projects, financed by the World
Bank, are ongoing in Burkina Faso,
Nigeria, Kenya, Tajikistan, and Ukraine
(several others are planned – see p.24);
As of end-June 2008, 23 countries (13 in
Africa) received a TFSCB grant for the
design of an NSDS (or Statistical Master
Plan), and 11 countries for strengthening
their national statistical system,
amounting to USD 6.7 million, out of
total active commitments of USD 8.1
million (see Annex 6);
Most sub-Saharan African countries (except Eritrea and Somalia) have benefitted from the
ICP-Africa program, under the aegis of the AfDB and financed by DFID, the World Bank, and
AfDB;
Twinning arrangements are present in a number of countries (Mozambique, Malawi, and
Albania), funded mainly by Denmark and Norway. In 2008, the statistical offices of Mali and
Burkina Faso set up a twinning arrangement with Statistics Sweden. In Mali, a new initiative
has been launched in the coordination of donor support to statistics, with Sweden taking the
lead role, in collaboration with the UNDP. Canada is presently identifying long-term capacity
building partnerships with selected Sub-Saharan African and South American countries.
3. Results by Development Partner
22. Table II of Volume II presents the inventory of PRESS results by development partner. Table 5
below summarizes total annual commitments for the activities reported for the period 2006-08,
broken down by commitment year of the key development partners. Annex 7 presents the complete
summary of active commitments of the 44 partners who responded to PRESS.
Box 1
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23
23. The share of total active commitments that were approved prior to 2006 represents over
60% of the total, equivalent to roughly USD 630 million; the annual average commitment during
2006-07 was about USD 150 million.
TABLE 5: PRESS – Summary of Active Commitments, by Key Partner, 2006-08
(USD million)
Key Partner Pre-2006 2006 2007 2008 TOTAL
Bilateral partners
Australia 6.3 1.1 0.1 7.5
Canada 1.1 1.4 9.4 11.9
Denmark 16.3 0.2 6.8 23.3
France 1.5 3.1 4.1 8.7
Japan 32.1 2.5 34.5
Netherlands 17.9 0.1 1.3 19.3
Norway 7.3 1.5 1.8 10.6
Sweden 7.2 7.2
UK 107.3 32.8 32.8 22.5 195.4
USA 1.9 0.2 4.9 1.9 8.9
Multilateral Agencies
EC 257.7 41.4 40.2 3.0 * 342.3
HMN 6.9 6.7 13.6
IMF (FY07-08) 9.5 10.2 ** 19.7
UNICEF 7.0 12.4 19.4
UNSD 11.8 11.8
World Bank 112.2 14.4 36.1 8.4 171.1
Regional Organizations
AfDB 18.7 0.3 19.0
UNECA 7.0 7.0
ADB 3.5 1.1 1.5 6.1
IADB 14.3 0.1 6.9 21.3
ACBF 7.1 5.2 5.7 18.1
* This amount includes a project to support Nigeria’s 2005 population census, for an amount of USD 144.6 million.
** IMF support includes roughly USD 4 million from the GDDS program, financed by the UK.
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24
Box 2
Accelerated Data Program
The pilot Accelerated Data Program (ADP),
established in the context of the MAPS, assists
countries in improving the quality and use of
survey data. ADP’s activities are focused on
the following three “tasks”:
Task 1: inventory, documentation and dissemination of existing microdata;
Task 2: assessment of survey program and development of a national question bank;
Task 3: support to data collection
It presently assists 30 pilot countries, all of
whom are implementing Task 1. Two countries
(Mali and Cameroon) are implementing Task 2,
while two other African countries are
interested in beginning Task 2 in the near
future. The Program has adopted partnership
arrangements, with various agencies. Annex 10
provides details of the ADP implementation.
24. Some highlights on the involvement of key partners in statistical development, as reflected in
the results of PRESS 2008, are:
European Commission
The EC is the largest supporter to statistical development with active commitments
amounting to nearly USD 343 million. Roughly one-quarter of EC funding (excluding the large
Nigeria project) goes through sub-regional intermediaries, particularly COMESA, UEMOA,
CEMAC, SADC, and ECOWAS for Africa , and CARICOM, MERCOSUR, and CAN for Latin
America and the Caribbean. EC support covers a wide gamut of statistical areas, with strong
emphasis on capacity building and regional integration activities in Africa and reform of
official statistics for Central Asia. It should be emphasized, however, that the above
commitment amount provides an order of magnitude of the EC’s support to statistical
development, as a number of the activities reported may be overestimated for the statistical
component, while the amount of support decided at the country level is not always
represented. At present, there is no reporting system allowing the identification of statistical
activities in EC’s national programs, though there has been a great improvement with recent
efforts of Eurostat (see box in section G);
United Kingdom
The UK is an important contributor to statistical development, with active commitments of
roughly USD 195 million during the period 2006-08. The UK’s strategy is to develop a relevant
global statistics system and to promote the design, collection and use of statistics. As a
result the UK supports statistical capacity building on all continents and places much of its
efforts on institutional development of statistical systems, development of statistical
strategies, population census data, poverty monitoring, and GDDS. DFID employs twenty-six
statisticians, including eight who work
directly with developing country partners to
develop statistical capacity. In addition, the
UK has provided substantial funding to the
TFSCB, managed by the World Bank, and
given strong support to the PARIS21
Secretariat.
World Bank
For the period 2006-08, active commitments
to statistical development amounted to USD
171 million, of which USD 82 million was
committed to stand-alone statistical projects
(STATCAP programs), and an estimated USD
63 million represent project components of
25 other projects supporting both core
statistical activities and a variety of surveys.
As mentioned above, the World Bank
manages the TFSCB grants for the design and
preparation of NSDS and other statistical
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25
capacity building activities.11 The Bank also provides grants as part of the implementation of
the MAPS, funded by the Development Grant Facility, principally supporting (i) the
International Household Survey Network, the Accelerated Data Program (ADP), and the
development of NSDS and Statistical Master Plans, being managed by the PARIS21
Secretariat; (ii) the 2010 round of population censuses, being managed by UNSD; and (iii) a
program for Education Statistics, being managed by UNESCO-UIS.
International Monetary Fund (IMF)
The total amount of technical assistance provided during 2006-08 (excluding staff missions)
amounted to roughly USD 20 million, of which over half was spent on Africa (this support
includes roughly USD 4 million from the GDDS program). Assistance in statistics is generally
provided in the areas of national accounts and prices, government finance, monetary and
financial statistics, financial soundness indicators, balance of payments, and external debt.
This support is provided through short-term experts and staff missions, complemented by
long-term statistical advisors in selected countries. In addition to the seven experts
stationed at its Regional Technical Assistance Centres (see box), the IMF provides 6 long-term
experts: (i) a real sector statistics advisor for the Republic of the Congo and the DRC (based in
Kinshasa); (ii) a national accounts advisor for Botswana, Mauritius and Namibia (based in
Botswana); (iii) a balance of payments statistics advisor for Liberia; (iv) an external sector
statistics advisor for Azerbaijan, Georgia and Uzbekistan (based in Azerbaijan); (v) a real
sector statistics advisor for Tajikistan, Turkmenistan, and Uzbekistan (based in Uzbekistan);
(vi) a regional government finance statistics advisor for Eastern Europe (based in Slovenia).
11
To avoid double-counting, the TFSCB grants are excluded from the annual disbursements in Tables 1 and 2, since they are included under the UK’s contribution to the TFSCB; they are, however, presented in the country breakdown, Table I of Volume II).
IMF: Regional Technical Assistance Centres
The IMF has adopted a regional approach to the delivery of technical assistance, with the aim of helping
countries adopt international standards, codes, and best practices in the production and dissemination of
macroeconomic and financial statistics. In 2002, the IMF launched its Africa Capacity-Building Initiative to
promote capacity strengthening in the design and implementation of poverty-reducing strategies in
African countries, and to improve the coordination of capacity-building technical assistance in the PRSP
process. As part of this initiative, three African Regional Technical Assistance Centres (AFRITACs), financed
by contributions from 24 donor partners, the IMF, and in-kind contributions of host governments, have
been established:
AFRITAC West in Bamako was opened in May 2003 and two experts provide technical assistance to ten countries [(Guinea, Mauritania, and the eight member countries of the West African Economic and Monetary Union (Benin, Burkina Faso, Côte d’Ivoire, Guinea-Bissau, Mali, Niger, Senegal, and Togo)], in the area of government finance and real sector statistics;
AFRITAC East in Dar es Salaam, covering Eritrea, Ethiopia, Kenya, Rwanda, Tanzania and Uganda was inaugurated in October 2002 and one expert provides advice, technical assistance, and training, and supervises short-term experts in implementing capacity-building projects;
AFRITAC Central in Gabon began operations in January 2007 to serve the CEMAC countries (Cameroon, Chad, CAR, Equatorial Guinea, Gabon and Congo Republic) and Burundi and DRC, with the assistance of one expert.
The IMF has three other regional technical assistance centres in the Pacific (PFTAC), the Caribbean
(CARTAC), and the Middle East (METAC), each with one expert.
Box 3
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26
African Development Bank (AfDB)
The AfDB provides SCB support to all African countries (except Somalia and Eritrea) and sub-
regional organizations under the International Comparison Program (ICP). The amount
committed for the 3-year period, beginning December 2004, is USD 18.7 million, of which
USD 14.1 million is allocated directly to African countries, and the remaining balance
allocated to sub-regional organizations. The main areas funded are: (i) core ICP activities; (ii)
research on poverty measurement, based on Purchasing Power Parities; (iii) MDG monitoring
and Statistical Literacy Program (with UNDP); (iv) implementation of the 1993 System on
National Accounts; (v) improvement in the systems of price statistics; (vi) assistance for the
NSDS; and (vii) statistical training through Statistical Training Centers and Universities. This
program is managed by the ICP-Africa Coordination Unit. The AfDB also funds two smaller
interventions for the development of national country database programs and a data
platform pilot program.
Inter-American Development Bank (IADB)
Active commitments of the IADB totalled USD 21 million, including three large activities: (i)
institutional strengthening of the Honduran statistical system (in collaboration with the UK
and Sweden); (ii) a program to support an economic census (business registry) in Paraguay;
and (iii) support to social statistics and policy analysis in Guyana. In addition, the IADB has
provided technical assistance to the MECOVI program (household surveys) for Latin America
and the Caribbean. It is presently planning to provide substantial support to the
strengthening of the statistical system of the Dominican Republic during 2008-13.
The Scandinavian countries
The development agencies of Denmark, Norway, and Sweden rely on their respective
statistics offices to implement all technical assistance for statistical activities. Specifically,
Denmark: total active commitments amounted to USD 23 million, with the bulk going to two
projects in Mozambique for institutional support to the statistical office (twinning
arrangement) and for reform of the public sector and statistics; and to a population census
project in the Sudan;
Norway: total active commitments amounted to USD 11 million, with special focus on
twinning arrangements in Angola, Malawi, Mozambique, and Sudan;
Sweden: during the period 2006-08, Sweden had two large ongoing operations in Bolivia and
Honduras to support the national statistical offices, and several smaller activities in Europe
and Central Asia, totaling USD 7 million.12 Sweden is planning to increase its statistical
support significantly during the coming years. As mentioned above, it will commence a
twinning arrangement with Burkina Faso and Mali by mid-2008. A number of other
operations are being planned to strengthen statistical capacity in the DRC, Tanzania, Albania,
Bosnia-Herzegovina, Kosovo, the Former Yugoslav Repubic of Macedonia, Moldova,
Cambodia, Vietnam, and Guatemala, plus one for the Southern Africa Development
Community (SADC) and support to UNSD.
12
It should be noted that this amount is underestimated, since full data on Sweden’s support to statistics was received too late to be incorporated in PRESS 2008.
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27
Netherlands
Total active commitments amounted to nearly USD 19 million in a variety of statistical areas,
but mostly all dating prior to 2006. Netherlands has been an important contributor to the
TFSCB.
Japan
The information on Japan reflects only data extracted from the CRS, covering commitments
up to 2006. Based on this information, Japan’s active commitments of USD 35 million have
supported statistical capacity building activities in many developing countries, but the bulk of
these commitments (80%) go to Asian countries.
France
During the period 2006-07, France committed USD 9 million to statistical development, of
which three-fourths was financial support, allocated to the population census for Southern
Sudan and for AFRISTAT’s 2007-09 program. The remaining one-fourth was in the form of
non-financial support, mainly for 18 long-term experts in African countries, including seven
experts at AFRISTAT and two experts for African statistical schools (ENSEA in Abidjan, ENSAE
in Dakar, and ISSEA in Yaoundé). It should be noted that the above commitment amount is
underestimated since the following support is not included: (i) activities funded by France’s
development agency (ADETEF) and statistical office (INSEE); (ii) projects and statistical
components of projects at country and regional levels (e.g., Morocco and Vietnam); (iv) cost
of DIAL experts involved in statistical cooperation; and (iv) scholarships funded by embassies.
The financing for this support is either available only at the country level or difficult to
ascertain from accounting records.
Health Metrics Network (HMN)
Since 2006, HMN has committed USD 13.6 million to its country programs. It has intervened
in 64 countries, principally to assist countries in strengthening their Health Information
System and in contributing to improved access, dissemination and use of health information
(details on country grants for the period 2006-07 are presented in Annex 8).
African Capacity Building Foundation (ACBF)
During the period 2006-08, ACBF had active commitments of USD 18 million to support
statistical activities. Its Strategic Plan includes the strengthening and monitoring of national
statistics as one of its core priorities in institutional and human capacity building. Its
interventions support the collection, processing and analysis of socio-economic statistics,
methodologies, and institutional issues. In October 2003, it launched the activities of the
Statistics Technical Advisory Panels and Networks (STATNET), which focuses on sharing best
practices, contributing to the refinement of definitions, concepts, and methodologies, and
providing technical advice in statistical analysis and the management of national accounts
statistics.
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4. Results by Statistical Areas
25. For PRESS, support to statistical development is categorized into 5 broad categories:
(i) demographic and social statistics; (ii) economic statistics; (iii) environment and multi-
domain statistics; (iv) general statistical items and methodology of data collection,
processing, dissemination and analysis; and (v) strategic and managerial issues of official
statistics at national and international level. The last category refers to institutional
development of national statistical systems (including their legal framework, statistical
programs in the framework of NSDS, human resources and training, technological resources,
and other capacity building programs). The complete breakdown of the classification of
statistical areas is found at the beginning of Volume II.
26. Table III of Volume II presents the support reported by partners, classified in the 5
broad categories of statistical activities, by recipient country and development partner.
Since a large number of partner interventions cover multiple areas, a sixth category has been
added in Table III to include these interventions. As mentioned above, in order to complete
the PRESS information, a web search of partners’ websites was carried out to identify
support to some important statistical activities, namely population censuses (2010 round),
Demographic and Health Survey (DHS), the Multiple Indicator Cluster Survey (MICS), other
household surveys (including the CWIQ in Africa and MECOVI in Latin America), and
agriculture censuses. Annex 9 presents the details of the status of these activities.
27. The following chart presents partner interventions in each statistical category, by
number and commitment amount. In interpreting the chart, it is important to keep in mind
that (i) many of the activities linked to economic statistics (category 2) reflect the country-
specific interventions of the IMF for technical assistance and training (108) and of the AfDB in
the ICP program (53), which may not be large in financial terms, as reflected in the chart
below (see Figure 1 ); and (ii) the financial amount has not been reported for a number of
interventions (e.g. ILO). Moreover, the large number of interventions in category 5 could
reflect the overuse of the CRS code, “statistical capacity building” for OECD bilateral partners
(especially Japan). The following subsections present conclusions sorted by category.
Demographic and social statistics
Category 1: the ILO is heavily engaged in providing technical assistance and training for the
collection of labour statistics (both formal and informal employment) in Africa and Asia,
including child labour. Financial support to education and health statistics is often given
through larger projects (see EC and World Bank); for education statistics, the World Bank is
financing the Program for Education Statistics through a grant to UNESCO-UIS. For health
statistics, support is often provided through health sector operations and the recent efforts
of HMN to assist the development of health information systems in a number of applicant
countries;
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29
Figure 1: PRESS: Statistical Categories, by Number of Interventions and Commitment Amount
Economic statistics
Category 2: support is mainly provided by the IMF and the ICP program through regional
development banks. Over the period 2006-08, the IMF assisted over 80 countries in the area
of macroeconomics statistics, principally national accounts, government finance, trade and
balance of payments, and prices, partly financed through the GDDS program. The
International Comparison Program, focusing on the elaboration of price indices and national
accounts, has been supported by a number of partners, principally the EC, the World Bank,
the African Development Bank, the Asian Development Bank, and the Islamic Development
Bank. Support to sector statistics is limited to either sector programs (such as World Bank
sector operations) or to specialized programs of technical partners, such as UNESCO for
education statistics and World Tourism Organization for tourism data;
Environment and multi-domain statistics
Category 3: support to this category revolves mainly around poverty monitoring and
production/monitoring of MDG indicators, which reflects the current statistical priorities of
developing countries, as defined in their PRSPs and by the MDGs. The UN sub-regional
organizations (UNECA, UNECE, UNECLAC, and UNESCAP) are particularly focused on
strengthening capacity in the monitoring of the MDGs. Environment and gender statistics
have not received special focus, although this cross-cutting information might be supported
within other interventions (e.g., household surveys, education/health projects);
General statistical items and methodology of data collection, processing, dissemination and
analysis
Category 4: support to this category is quite extensive and mainly covers the following activities and programs:
population censuses: around 25 projects supported population censuses during the period covered, with Nigeria, Sudan, Ethiopia, and Mozambique receiving significant financial support (Table 6); other support was also provided through activities covering multiple-areas (section 6 of Table III, Volume II). From the activities reported,
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commitments to population censuses represent nearly one-quarter of total commitments. This information may be incomplete, as donors often pool resources at the country level to fund this timely statistical activity. Sudan’s population census is a case in point, where USD 34.4 million was allocated by the Multi-Donor Trust Fund, but could not be reported by any particular donor, as only task managers of the Trust Fund would know the use of the funds.13 As indicated by the UNSD website, 25 countries have undertaken their population census as part of the 2010 round; while another 73 countries (33 African) have set a tentative date, and 5 countries have not set a date, but expect to conduct their census during the decade (see Annex 9). Comparing Table 6 and Annex 9, it appears that a number of countries whose census is planned during 2008-09 have not received any support. This suggests that either funding is not required, no funding has been found for the census, or funding has been provided through other resources that are not easily identifiable (such as budgetary support in large operations or pooled resources in a Trust Fund14 arrangement);
TABLE 6: PRESS – Support to Population Censuses, 2010 Round
(USD millions)
Partner/Country EC UK Other Total
Burkina Faso (Denmark) 0.2
(Luxembourg) 1.4
1.6
Burundi 3.4 1.3 4.7
Ethiopia 12.7 12.7
Mozambique 15.1 2.7 17.8
Nigeria 146.5 13.7 158.3
Sierra Leone 6.2 6.2
Sudan 4.8 4.3 (Denmark) 6.5
(France) 2.6
(Netherlands) 0.2
18.4
Togo 2.7 2.7
Zambia 2.9 2.9
Ukraine 2.1 2.1
Haiti 1.5 1.5
Yemen 0.6 0.6
Latin America and Caribbean 0.8 (IADB) 0.6 1.4
Unallocated (World Bank) 3.0 3.0
13
In 2005, a Sudan Multi-Donor Trust Fund was established to provide a vehicle for donors to pool resources
and coordinate support to fund the overall reconstruction and development of Sudan during the period 2005-1 14
The World Bank administers this Trust Fund, in collaboration with UN agencies, other donors, and Government. The Trust Fund allocated USD 34.4 million to the population census, fully disbursed between 2006 and 2007. The UNFPA (USD 22 million) and UN Office of Project Services (USD 12.4 million) were the implementing agencies.
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31
household budget surveys appear to be supported on an ad hoc basis, either as stand-alone activities (code 4.3.3 in section 4 of Table III, Volume II) or as part of larger poverty-supporting operations. The International Household Survey Network, complemented by the Accelerated Data Program (see box 2), is contributing to the coordination and effectiveness of partners’ actions related to household surveys. Specific activities include:
o the Millennium Challenge Corporation of the US government is focusing on a
variety of household surveys (living standards, integrated, periodic) in Armenia,
El Salvador, Georgia, Ghana, and Madagascar;
o during 2006 and 2007, 13 African countries conducted a Core Welfare Indicator
Questionnaire (CWIQ) survey; with another 8 countries planning one for 2008.
The CWIQ, managed by the World Bank and financed mainly by the UK, was set
up as a survey tool for monitoring rapidly the effectiveness of a country’s Poverty
Reduction Strategy, by measuring leading indicators of poverty impact (closely
interlinked with the MDGs). Since its inception, the CWIQ has developed
additional modules to respond to increasing demand for monitoring indicators;
o 12 Demographic and Health Surveys, mainly financed by USAID, were
completed (6 in Africa, 3 in Asia, and 3 in Latin America and the Caribbean) and
another 12 are ongoing;
o MICS have been conducted in 37 countries with support from UNICEF; 16 of
these countries have finalized their report.
UNDG’s DevInfo software, managed by UNICEF, has been introduced in 78 countries to
put in place a database on human development indicators to facilitate analysis and
monitoring of progress towards the MDGs and poverty reduction strategies. Over the
period 2006-08, UNICEF has committed USD 12.4 million to continue its support through
training, technical assistance, goods and equipment, and operating costs;
Strategic and managerial issues of official statistics at national and international level
Category 5: institutional development is highly supported in many partner activities, either
as support to the design of strategic statistical planning, strengthening the national statistical
systems, human resources development, or technological resources.15The design of strategic
statistical programs (such as the NSDS) has been a focus for the TFSCB grants (see p.24) and
for other partner activities. Progress in the design and implementation of NSDS is visible. Of
the 78 IDA countries, 60 (77%) are either designing, awaiting adoption of, or are
implementing NSDSs. Table 7 presents a summary of the status of NSDS in IDA countries, as
15
The support to institutional development reported by bilateral donors may be exaggerated due to the overuse of the “statistical capacity building” code as the purpose code for much of the development assistance in the CRS (this translates as category 5.7 for the PRESS). This is true for Japan (69 activities) and Portugal (17 activities).
PRESS
32
of September 2008, while Annex 11 provides greater detail on progress for each country.
Most partner interventions include some form of technical training. Based on the
information received, funding for formal statistical training seems to be provided to African
regional statistical institutes, mainly by France (though the amount for student scholarships
is not included in this report, as this information is available only at the level of embassies)
and the EC through an African regional statistical training project. The African Capacity
Building Foundation (ACBF) has projects in 14 African countries, aimed at strengthening
national statistical systems, mainly through training and advisory assistance. Other forms of
training through thematic workshops and regional/international statistical conferences are
financed on an ad hoc basis, often through regional or sub-regional organizations.
TABLE 7: Status of NSDS in IDA Countries, as of September 2008
Activities covering multiple areas
Several activities reported covered multiple statistical categories. This was particularly true
for the following: (i) STATCAP operations; (ii) large regional statistical programs and country
budget support for economic programs of the EC; and (iii) Norwegian institutional statistical
support to the statistical offices of recipient countries.
28. Though identifying gaps in statistical areas is not particularly easy from the information
received, sector statistics and formal statistical training seem to be two key areas that do not receive
much support. It is worthwhile noting that reporting on assistance to sectors is complicated because
it is often difficult to distinguish between assistance to statistics and assistance to the sector in
general.16 For example, the scope of larger projects/programs in the health and education sectors
goes beyond statistics to cover improvements in information management systems. As mentioned
above, only France and the EC support formal statistical training.
16
For more information on sector statistics, refer to the joint report of the Intersect Task Team (African Development Bank, PARIS21, and the World Bank), Mainstreaming Sectoral Statistical Systems in Africa: A guide to planning a coordinated national statistical system, November 2007. http://www.paris21.org/documents/2959.pdf
Countries currently
implementing a strategy
Countries currently
designing a strategy or
awaiting adoption
Countries with strategy expired or
without strategy and currently
planning an NSDS
Countries without a strategy nor planning one TOTAL
No. % No. % No. % No. %
AFRICA 21 53% 17 42% 2 5% 0 0% 40
ASIA and PACIFIC 12 44% 3 11% 9 33% 3 11% 27
LATIN AMERICA & CARIBBEAN 3 33% 2 22% 4 44% 0 0% 9
EUROPE 1 50% 1 50% 0 0% 0 0% 2
TOTAL 37 47.5% 23 29.5% 15 19% 3 4% 78
PRESS
33
5. Results by Key Financing Source
29. Table IV of Volume II presents active commitments to support statistical development during
the period 2006-08, broken down by recipient country and principal financial partners. Table 8 shows
a summary of estimated disbursements for statistical support during 2006-08 to key recipient
countries (receiving over USD 5 million in disbursements), by main financial partners.
TABLE 8: PRESS – Estimated Disbursements by Main Recipient Country and Financial Partner, 2006-08
(USD millions)
Recipient
Country EC UK
World
Bank Denmark Neth. Norway AfDB Other
Total Est.
Disbursements
SUB-SAHARAN AFRICA
Angola 0.9 3.1 1.0 0.1 0.2 5.3
Burkina Faso 1.7 6.7 0.2 1.6 10.2
Ethiopia 0.1 10.0 0.8 0.3 0.1 11.3
Ghana 1.7 1.6 0.2 1.8 5.3
Kenya 4.4 2.1 13.2 0.6 0.3 1.7 22.3
Mozambique 15.1 2.8 4.5 0.2 0.1 0.6 23.3
Niger 6.8 0.3 0.1 7.2
Nigeria 87.7 10.0 11.3 0.3 0.5 109.8
Rwanda 2.0 3.9 0.3 0.2 0.3 6.7
Sierra Leone 3.2 0.8 0.1 1.0 5.1
Sudan 4.8 2.8 5.4 0.2 0.9 0.1 1.1 15.3
Uganda 2.1 2.2 0.6 0.1 0.3 0.2 5.5
ASIA
Vietnam 7.2 0.4 7.6
EUROPE AND CENTRAL ASIA
Ukraine 0.3 16.5 16.8
LATIN AMERICA AND CARIBBEAN
Paraguay 6.6 6.6
30. Based on the information provided, nearly one-half of total estimated disbursements during
2006-08 are going to these fifteen countries, equivalent to over two-thirds of the funding going
PRESS
34
directly to countries (excluding global, regional and sub-regional programs not attributed to
individual countries).
6. Planned Activities
31. Table V of Volume II presents 80 planned statistical activities of sixteen development
partners, including the major players in statistics. Since these activities have not yet been approved,
the provisional commitment amounts are merely indicative and have not been converted into US
dollars. In addition to the points made above for Sweden’s involvement in Burkina Faso and Mali and
IADB’s capacity building support to the statistical system of the Dominican Republic, other envisaged
activities worth noting are:
Canada’s twinning initiatives in Sub-Saharan Africa and South;
Sweden’s support to an agricultural census in Moldova and general statistical support to
Tanzania, Cambodia, and Guatemala;
UK’s statistical capacity building efforts in Tanzania and Yemen; the support to Sierra Leone’s
NSDS implementation; and its collaboration with UNFPA on Malawi’s 2007 population
census;
EC’s support to Albania’s agriculture census and economic census of non-agriculture
enterprise, as well as its regional support to the Western Balkan countries and Southeast
Asian countries through ASEAN;
World Bank’s STATCAP programs in Bolivia, India, Indonesia, Mongolia, Sri Lanka, and
Tanzania;
UNECA’s long-term program for its African Centre for Statistics;
AfDB’s statistical capacity building program for implementation of the Results Agenda.
32. A new "Statistics for Results Facility" is currently being developed through the PARIS21
partnership, in response to calls for scaling-up support to recipient countries’ efforts to improve their
statistical capacity. The objective is to help build capacity to manage for development results, by
aligning national development plans and Poverty Reduction Strategies more closely with statistical
efforts, and facilitating the implementation of country-owned statistical improvement plans. The
Facility will strengthen national statistical partnerships of donors and countries to develop and
implement agreed statistical improvement plans, delivering aid and technical assistance more
efficiently through improved harmonization of procedures in line with the Paris Declaration on Aid
Effectiveness. In the case of financing gaps for implementing these plans, countries participating in
the Facility will be able to access grant finance from a central multi-donor fund managed by the
World Bank.
KEY MESSAGES
35
F Key Messages
33. Financial support to statistics is relatively small. To try to get a sense of the relative weight
of support to statistics in partners’ development assistance, Table 9 shows the share of bilateral
commitments to statistics as a percentage of bilateral grants of Official Development Assistance for
2006 (the last year data is available). The figures indicate that statistics received less than half of one
percent of the bilateral grants in 2006. Unfortunately, lack of data for previous years makes it
impossible to see any trends, but this might be an interesting indicator for future rounds of PRESS.
TABLE 9: PRESS – Share of Commitments to Statistics to ODA Bilateral Grants, by Key Partner, 2006
(USD million)
Donor ODA Bilateral
Grants
Commitments
to Statistics
% Stats to
Total
Australia 1,773 0.9 0.05
Belgium 1,365 0.2 0.01
Canada 2,573 1.4 0.05
Denmark 1,525 0.2 0.01
France 8,422 3.1 0.4
Italy 2,147 0.3 0.01
Japan 7,660 2.5 0.03
Luxembourg 205 1.4 0.66
Netherlands 4,415 -- --
New Zealand 203 0.7 0.35
Norway 2,119 1.5 0.07
Portugal 198 0.1 0.07
Spain 2,012 0.7 0.03
Sweden 2,838 -- --
UK 8,809 32.8 0.37
US 22,005 0.2 0.00
Source : World Bank, World Development Indicators, 2008 ; PRESS
2008 results.
KEY MESSAGES
36
34. A comparison of support by financial partners to African countries between the results of the
Light Reporting Exercise (covering active commitments for the period 2004-05) and those of PRESS
2008 (for Africa for the period 2006-08) is presented in Table 10. There does appear to be an
increase for most of the key partners, which can be explained by increasing support to the 2010
Population Census Round, more institutional development support (including NSDS), and, possibly,
improved reporting for PRESS (certainly true for the EC).
TABLE 10: Comparison of Active Commitments, LRE vs. PRESS, by main partner
(USD million)
Partner LRE
2004-05
PRESS 2006-
08
Difference Key Explanation for Difference
BILATERALS
Canada 9.3 0.7 -8.6 Increased commitments planned for 2008-
09
Denmark 4.7 23.3 +18.6
France 9.2 7.1 -2.1 Support to Sudan population census, but
decreased support to statistical training
schools
Netherlands 1.2 4.8 +3.6
Norway 18.6 9.5 -9.1 Reduced support to Eritrea and
Mozambique
Sweden 15.2 1.0 -14.2 Increased commitments planned for 2008-
09
UK 66.7 105.2 +23.1 Support to population censuses and
strengthening statistical systems
MULTILATERALS
EC 67.1 232.6 +165.5 Population census to Nigeria
World Bank 67.5 85.4 +17.9 Kenya STATCAP
IMF 6.2 19.7 +13.5
35. Though all 112 countries have received some form of statistical support over the reported
period, the data suggests that support is concentrated in a few countries (see section 4). A
significant number of IDA countries in Africa are receiving very little, possibly due to their unstable
political situation, their lack of interest in statistical development; and/or the focus of financial and
technical partners in “targeted” countries. Similarly, the Pacific island countries received little
support, other than IMF and Japanese technical assistance (the exception is Vanuatu which
KEY MESSAGES
37
benefitted from a nearly USD 6 million statistics training project from Australia, but which ended in
2006). Statistical support to Caribbean countries is also very limited for the period 2006-08.
36. A comparison of support to African countries between the results of the Light Reporting
Exercise (covering the period 2004-05) and those of the PRESS 2008 (for the period 2006-08) shows
that total commitments have increased for countries receiving support to population censuses,
statistical institutional support, and poverty monitoring (support to Kenya has increased substantially
due to a STATCAP, support to the national statistical system, and an education sector support
program). Table 11 presents this comparison for the largest recipients of statistical support.
TABLE 11: Comparison of Active Commitments -- LRE vs. PRESS, by key recipient country
(USD million)
Country LRE 2004-05 PRESS 2006-08 Difference Main Explanation for Increase
Angola 11.5 10.7 -0.8
Burkina Faso 12.2 15.7 +3.5 population census
Burundi 1.1 7.1 +6.0 population census
Ethiopia 1.6 15.1 +13.5 population census
Ghana 7.9 13.3 +5.4 household survey
Kenya 7.2 55.5 +48.3 STATCAP; support to NSS; education
sector support
Malawi 9.7 9.7 --
Mozambique 18.3 29.8 +11.5 population census
Niger 3.7 12.9 +9.2 agriculture census
Nigeria 48.1 193.8 +145.7 population census
Rwanda 7.0 24.2 +17.2 NSDS implementation; NSS support
Sudan 6.7 20.3 +13.6 population census
Uganda 30.0 30.3 +0.3
Tanzania 9.0 7.9 -1.1
37. Partner collaboration in statistical development needs to be strengthened. Since improved
partner collaboration is a main objective of PRESS, an attempt has been made to identify key
statistical activities where partner collaboration has been ongoing over recent years. Table 12
presents illustrative examples of this collaboration, broken down into country, regional and global
levels, including:
KEY MESSAGES
38
at country level: in addition to the twinning agreement of the Scandinavian countries in
Mozambique, available information indicates that financial and technical collaboration does
take place at country level for certain type of activities, such as population censuses, most
often with UNFPA as implementing agency (e.g, Mozambique, Nigeria, and Sudan), and
household surveys (albeit in a more limited manner), with either UNICEF or UNDP as
implementing agencies. In some countries, donor coordination on statistics occurs through
thematic donor groups under the leadership of one donor (e.g., the Monitoring and
Evaluation Donor Group in Ethiopia, coordinated by the UNDP). Sweden’s initiative in Mali
seems to follow this example.
at the regional level, the EC relies often on sub-regional organizations, the statistical offices
of European countries, and consortium of private consultants to implement its statistical
programmes.
at the global level, the ICP has been a successful collaborative program among its financiers
(the World Bank, the UK, and regional banks) and its administrators (the African
Development Bank and the Asian Development Bank). Another partner collaborative
initiative at the global level is the pooled contributions made to the PARIS21 Secretariat to
carry out its work program, as agreed upon with its Steering Committee, mainly as assistance
to the design and implementation of NSDS, advocacy activities, and partnership program. It
should be noted that the Secretariat has received two grants from the World Bank to
administer the IHSN and ADP. Annex 11 presents details of these partner contributions from
2005-07.
38. Despite these examples, there is a need to strengthen collaboration among partners,
particularly at the country level, where funding decisions are often made. As the number of NSDS
being implemented is growing, the importance of a more coordinated approach to financial and
technical support is becoming more urgent. This is relevant for both the focus of the interventions
and the amount and predictability of the assistance. In this regard, partners should keep in mind
that the implementation of the NSDS requires a minimum level of qualified human resources, and
thus should ensure that capacity building, not only the direct delivery of outputs, is an important
element of any support.
39. The focus of much of the statistical support seems to be toward institutional development
and support to large activities (population censuses, surveys) as a basis for poverty monitoring. This
is not too surprising, given the emphasis on poverty reduction strategies and their monitoring by the
donor community. It should be noted, however, that these large activities are more easily identifiable
as statistical activities, and thus more easily reported. As said earlier, there are smaller statistical
components that are often overlooked because either their cost is not estimated at the project
approval stage or the decision to undertake them is taken at the country level and never reported to
the partner’s headquarters.
KEY MESSAGES
39
40. Statistical areas not receiving much support appear to be sector data, particularly
environment statistics, and formal training in statistics. Given the growing pressure on national
statistical offices to provide quality and timely data, despite the weak capacity in some, it is
surprising that more emphasis is not placed on this important aspect of statistical development.
41. The results of PRESS provide a rich source of information on who is doing what and where in
statistics, which needs to be further exploited through more in-depth studies. These studies could
focus on particular themes in a given year. For example, at the country level, an analysis of financing
received could be compared both to the financing needs of the national statistical system, as defined
by the NSDS, and to the level of funding going to other sectors in the economy. For partners, a
possible study could focus on the 2010 round of population censuses to assess the level of funding
required to carry out a census and to ensure that financial support is available when needed.
KEY MESSAGES
40
Table 12: PRESS – Illustrative Examples of Partner Collaboration
Statistical Activity Main Partner Recipient Country Comments
AT COUNTRY LEVEL Technical Assistance for SCB: twinning Denmark, Norway, Sweden Mozambique
Population census Multiple donors UNSD main responsibility; UNFPA technical partner
Number of countries
The Sudan Multi-Donor Trust Fund is an example of donor collaboration to pool resources to fund the 2005 Population Census.
AT REGIONAL LEVEL
Regional Integration Programme in Africa EC CEMAC, COMESA, ECOWAS, UEMOA, SADC
Sub-regional organizations act as implementing agencies
Statistical Programmes in North Africa (MEDSTAT II) and Statistical Twinning projects in Central Asian countries
EC TA provided by European national statistical offices
Projects to reform official statistics EC Central Asian countries Consortium of private consultants act as implementers
Cooperation Project on Statistics EC/Canada Community of Andean Nations
Regional statistics programme and macroeconomic monitoring support
EC MERCOSUR
Support to Poverty Assessment and Reduction in Caribbean (SPARC)
CARICOM, Caribbean Development Bank, IADB, UNDP, UN agencies
Caribbean countries
Multi-donor programme to support inputs linked to MDG and strengthen capacities for collection, analysis and dissemination of social data.
AT GLOBAL LEVEL International Comparison Program World Bank/UK/AfDB/ADB/IDB Africa/Caribbean/Pacific countries Managed by AfDB and ADB
TFSCB: grants for design of NSDS UK/Netherlands/Canada/Germany IDA countries World Bank fund administrator
GDDS programme UK Anglophone African countries IMF manages macroeconomic statistics; WB manages socio-economic statistics
PARIS21 Secretariat Multi-donors (see Annex 11) Global (focus on IDA countries) Work programme agreed by its SC
ADP World Bank Pilot countries Managed by PARIS21 Sect., partly contracted to UNESCAP, UNESCO-UIS, SPARC
SOME POINTS FOR FUTURE ROUNDS OF PRESS
41
G Some Points for Future Rounds of PRESS
42. Based on the experience of PRESS 2008, the following points should be addressed to improve
the future rounds of PRESS:
partners covered: place focus on bilateral, multilateral, regional organizations; exclude statistical training institutes, who are receivers of funding, and foundations, who have not been responsive (either to the LRE or the PRESS). It is also important to keep an updated list of contacts for each partner;
questionnaire: o re-consider the “format” of the questionnaire to take into account partner concerns
-- Excel-based questionnaire not easily “enabled” by all partners because of security
issues; provide “format template” that would allow partners to fit their databases to
the PRESS questionnaire;
o for CRS bilateral partners, provide two sheets (i) for activities approved after CRS
cut-off date, and (ii) sheet for future activities;
o consider shortening the questionnaire, e.g. (i) delete the details on “type of
assistance”; (ii) focus only on commitments, unless the partner prefers reporting on
disbursements; and (iii) re-consider the need for section on “problems
encountered”;
o re-think how to request information on involvement of other donors: this is an
important point to get a feel of partner
collaboration, but need to clarify in
questionnaire (i) the lead donor; (ii) the co-
financiers and (iii) the implementing
agencies;
frequency of report: suggest that the PRESS report
be produced every 2 years, since main findings do
not change significantly from year to year. The
collection of the information, however, could be
done annually;
better response rate: The success of the PRESS
relies highly on the data provided by partners, who,
in turn, rely on their own reporting mechanism to
keep track of their statistical support. The progress
of Eurostat in this area is notable (see box). This
example should be encouraged among other
partners, especially UN agencies and sub-regional
organizations, as a useful tool for donor collaboration.
Partner Reporting –
Eurostat
Eurostat has been gathering
information on EC statistical projects
and components within larger
projects/programs and compiling it
with other documentation to develop
an on-line knowledge base (“DISC”) of
statistical activities. The main
objectives of DISC are to help donor
coordination by providing accessible
information on what is being/will be
done, where and by whom. It will also
be used for statistical project
programming analysis for internal use
and as an adequate reporting
mechanism to meet data-sharing.
requirements with partners.
Box 4
42
ANNEX 1
43
ANNEX 1: PRESS Questionnaire
The Partner Reporting on Support to Statistical Development (PRESS) requests the completion of the
attached information sheets:
Sheet 1 : a general information sheet
Sheet 2 : a Project/Program Information Sheet – one sheet for each project/programme.
that was ongoing during 2006–07;
Sheet 3 : an information sheet on future activities – one sheet for each activity planned to
start during 2008-10;
Classification of statistical areas
Information on financial and non-financial support
The responses to the questionnaire will be summarized and presented in a report that will be
distributed to interested stakeholders. Before issuing the report, however, each partner will be
requested to review and approve the summary table of its responses.
ANNEX 1
44
PARTNER REPORT ON SUPPORT TO STATISTICS (PRESS)
Sheet 1: General Information Sheet
Name of Financial or Technical Partner
E-mail(s) of contact person(s) responsible for completing the questionnaire
Is any further public documentation/database available on the aid projects/programmes
reported?
Yes (please indicate how to access)
No
ANNEX 1
45
PARTNER REPORT ON SUPPORT TO STATISTICS (PRESS)
Sheet 2: Project/Programme Information Sheet for Ongoing Activity, 2006-08
1) Recipient country (ies), sub-region(s) and/or institution(s):
2) Project/Programme name:
3) Unique identifier:
4) What are the main objectives of this project/programme?
5) What is period of Project/Programme?
Year the project/programme was committed or approved
Year the project/programme ended or is expected to end
6) Are you collaborating with other donors on this project?
Yes (please indicate “lead donor” and others)
No
7) What are the statistical area(s) of the project/programme (main category is mandatory; sub-
category is optional)
Demographic and social statistics
Population and migration
Labour
Education
Health
Income and consumption
Social protection
Human settlements and housing
Justice and crime
Culture
Political and other community activities
Time use
Economic Statistics
Macroeconomic statistics, short-term indicators and seasonal adjustments
National accounts, non-observed economy
Business statistics
Sector statistics
Agriculture, forestry, fisheries
Energy
Mining, manufacturing, construction
Transport
Tourism
Banking, insurance, financial statistics
ANNEX 1
46
Other services
Government finance, fiscal and public sector statistics
International trade and balance of payments
Prices
Labour cost, productivity and competitiveness
Science and technology
Environment and multi-domain statistics
Environment
Regional and small area statistics
Multi-domain statistics and indicators
Living conditions, poverty
Gender and special population groups
Information society
Globalisation
Indicators related to the Millennium Development Goals
Sustainable development
Yearbooks and similar compendia
General statistical items and methodology of data collection, processing, dissemination
and analysis
Metadata
Classifications
Data sources
Population and housing censuses; registers of population, dwellings and
buildings
Agricultural censuses, registers and surveys
Household surveys
Business registers and surveys
Other administrative and non-survey sources
Data editing and data linkage
Data warehousing, output databases, web sites and other use of ICT
Dissemination, marketing and promotion of statistical literacy
Statistical confidentiality and disclosure protection
Data analysis
Strategic and managerial issues of official statistics at national and international level
Institutional frameworks and principles; role of official statistics; statistical law
and other legal instruments
Statistical programmes, priority setting, relationships with users and respondents
Statistical programmes in the framework of NSDS
All other statistical programmes, priority settings, relationships with users and
respondents
Quality frameworks and evaluation exercises
Human resources and training
Technological resources (including standards for electronic data exchange and data
sharing)
Co-ordination of international statistical work
ANNEX 1
47
8) What type of support is being provided?
Financial
Non-financial
a) For financial support:
What is the financing instrument you use?
Loan/credit
Grant
What is the financing approach?
Stand-alone project/programme
Component of project/programme
Budgetary support
What is the financing mechanism?
Not-co-financed
Parallel financing (specify partners)
Joint or pooled financing (specify partners)
Financing through intermediary organization (indicate organization)
What is the commitment amount for statistical component?
Specified amount (in activity documentation)
Estimated amount (by respondent)
Revised amount since activity approval, if applicable
Which currency?
US dollars
Euro
Pound Sterling
Other (specify)
What is disbursement amount, if available?
Amount of most recent year (specify year)
Total as of last financial/calendar year)
b) For non-financial support
What is the cost estimate of this non-financial support?
Which currency?
US dollars
Euro
Pound Sterling
Other (specify)
ANNEX 1
48
c) For financial and non-financial support
For what is the support used?
Technical assistance (technical expertise, consultant services)
Training
Goods and equipment
Infrastructure
Operating costs (recurrent expenditures)
Other
What type of technical assistance do you provide?
Twinning
Long-term
Short-term
What kind of goods/equipment do you finance?
9) What problems have been encountered in the implementation of the project/programme (such
as timely availability of experts, delays in procurement procedures, availability and capacity of
country level staff, etc.)?
ANNEX 1
49
PARTNER REPORT ON SUPPORT TO STATISTICS (PRESS)
Sheet 3: Information Sheet for Future Activities
1) Recipient Country(ies), sub-region(s), institution(s):
2) Project/Programme name:
3) Unique identifier:
4) What is the status of the Project/Programme?
Identification stage
Under preparation/appraisal
Approval stage
5) What is the expected Period of Project/Programme?
6) What are the statistical area(s) covered?
SAME BREAKDOWN AS SHEET 2
7) What is the expected commitment amount?
8) Which currency?
US dollars
Euro
Pound sterling
Other (specify)
ANNEX 1
50
ATTACHMENT
PARTNER REPORT ON SUPPORT TO STATISTICS (PRESS)
Explanatory Note on Completing Sheets 2 and 3
Background
For the partner report on support to statistics, statistical development is defined as support to
agencies or organizations involved in the collection, compilation, processing, and dissemination of
official statistics. The reporting focuses on support to statistical development by technical and
financial donors at the country or regional level as follows:
support to statistical development through specific funding instruments (eg, STATCAP)
through other investment projects (or component of a project)
stand-alone technical assistance and/or training, for instance as part of regional programs
non-financial assistance (i.e., assistance directly financed by the development partner)
For this exercise, support for monitoring and evaluation (M&E) systems is not regarded as support to
statistical development, as this is generally seen as a project management tool. Similarly, the use of
data for analytical purposes by a donor organization is not considered statistical development, if the
analysis is for internal use.
This note provides an explanation of the information requested on the “Project/Program Information
Sheet” (Sheet 2), namely (a)unique identifier; (b) project period; (c) statistical areas; (d) information
on financial and non-financial support; and (e) agreement to publish data. For the Information Sheet
for Future Activities (Sheet 3), it provides an explanation on the status of the planned
project/programme.
a) Unique identifier
This refers to the identify code assigned to the individual activity by the financial or technical partner.
b) Project/Programme Period
Please indicate the year the project/programme was committed or approved by your institution and
the year it ended or is expected to end.
ANNEX 1
51
c) Statistical areas
1. Demographic and social statistics
1.1 Population and migration
Explanation
(annotation)
Population and migration – covers work in population and demographic statistics, topics
like demography, vital statistics, population structures and growth, demographic
projections, families and households (marriages, divorces, household size), migration,
refugees and asylum seekers.
Excludes
– causes of death (1.4)
– methodology and organisation of population censuses (4.3.1)
1.2 Labour
Explanation
(annotation)
Labour – covers statistics on labour force, labour market, employment and unemployment;
the more detailed topics include economically active population, labour conditions, health
and safety at work (accidents at work, occupational injuries and diseases, work-related
health problems), working time and other working conditions, strikes and lockouts, job
vacancies, job creation.
Excludes
– migrant workers (1.1)
– unemployment insurance and unemployment benefits (1.6)
– trade union membership (1.10)
– unpaid work (1.11)
– statistics on earnings, wages and salaries (2.8)
– labour cost (2.8)
1.3 Education
Explanation
(annotation)
Education – includes educational participation, illiteracy, educational institutions and
systems, human and financial resources invested in education, lifelong learning, vocational
training and adult learning, impact of education, assessments of student performance, etc
1.4 Health
Explanation
(annotation)
Health – covers the health and mortality related statistical activities, including topics like
life expectancy, health status, health and safety, health determinants (including lifestyle,
nutrition, smoking, alcohol abuse), health resources and expenditure, health care systems,
morbidity and mortality (including infant and child mortality), hospital admission, causes of
illness and death, specific diseases (e.g. AIDS), disabilities, pharmaceutical consumption and
sales, health personnel, remunerate on of health professions, environmental health status,
health inequality, health accounts.
Excludes
– work related health and safety (1.2)
– victimisation from criminal behavior (1.8)
– traffic accidents and injuries (2.4.4)
1.5 Income and consumption
Explanation
(annotation)
Income and consumption – covers statistics on household income and expenditures from
household viewpoint (all types of income and expenditure), including topics like
distribution of incomes, in-kind income, income transfers received and paid, income- or
expenditure-based measures of poverty, consumer protection, consumption patterns,
ANNEX 1
52
consumer goods and durables, household wealth and debts.
Excludes
– social protection schemes against various risks (1.6)
– tax schemes (2.5)
– poverty in a multidimensional sense (3.3.1)
– living conditions (3.3.1)
– social inclusion/exclusion (3.3.1)
1.6 Social protection
Explanation
(annotation)
Social protection – deals with statistics on measures to protect people against the risks of
inadequate incomes associated with unemployment, ill health, invalidity, old age,
parental responsibilities, or inadequate income following the loss of a spouse or parent,
etc., includes statistics on pension beneficiaries, social security schemes, social protection
expenditure, etc.
Excludes
– insurance companies as economic actors (2.4.6)
– pension funds as actors in financial markets(2.4.6)
1.7 Human settlements and housing
Explanation
(annotation)
Human settlements and housing – covers statistical activities on housing, dwellings and
human settlements
Excludes
– rents (2.7)
– methodology and organisation of housing censuses (4.3.1)
1.8 Justice and crime
Explanation
(annotation)
Justice and crime – activities including crime, convictions, operation of criminal justice
systems, justice, safety, victims, clear-up rates, prison population, illicit drug production,
trafficking and use, etc.
1.9 Culture
Explanation
(annotation)
Culture – statistics dealing with cultural activities in society, like theatre, cinemas,
museums, libraries, mass media, book production, sports, etc., including expenditure and
financing of culture.
1.10 Political and other community activities
Explanation
(annotation)
Political and other community activities – statistics on voting turnout, participation in
political and other community activities, trade union membership, social dialogue, civil
society, social capital, etc.
1.11 Time use
Explanation
(annotation)
Time-use – statistics on the use of time by individuals, often related to work-life balance
(reconciling family responsibilities and paid work); unpaid work
Excludes
– working time (1.2)
ANNEX 1
53
2. Economic statistics
2.1 Macroeconomic statistics *
Explanation
(annotation)
Macroeconomic statistics – all activities that are dealing with economy wide statistics at
macro level that go beyond, or are different from National Accounts, whether annual,
quarterly or monthly. Examples are macroeconomic databases that combine national
accounts and other macroeconomic indicators like Main Economic Indicators (OECD),
Principal European Economic Indicators (Eurostat), etc. ; business tendency and consumer
opinion surveys, economic growth, stability and structural adjustment, cyclical indicators,
statistics for business cycle analysis.
Excludes:
- methodology and frameworks of national accounts (2.2.)
- collection and dissemination of national accounts and productivity data not linked to other
macroeconomic statistics (2.2)
2.2 Economic accounts *
Explanation
(annotation)
Economic accounts – covers work on National Accounts in both current and constant prices,
dealing with topics like implementation of the 1993 System National Accounts (1993 SNA),
update of the 1993 SNA, European System of Accounts (ESA95), Gross Domestic Product
(GDP), Gross National Income (GNI), non-observed and informal economy, measurement of
capital, input-output tables, balance sheets, etc.
Excludes
– agricultural economic accounts (in 2.4.1)
– tourism satellite accounts (in 2.4.5)
– detailed general government accounts (2.5)
– financial accounts(2.5)
– price statistics(2.7)
– environmental accounts (3.1)
2.3 Business statistics
Explanation
(annotation)
Business statistics – economy wide statistics on the activities of enterprises, covers work on
economic statistics across different sectors (as opposed to 2.4 that deals with specific
individual sectors), deals with topics like statistics on economic activities of enterprises,
business demography, business investment, business services, demand for services,
industrial performance, enterprises by size class, industrial production, commodities,
structure of sales and services, outputs of the service industries, non-profit institutions.
Excludes:
- business tendency surveys (2.1)
- international trade (2.6)
- prices (2.7)
- labour cost (2.8)
- science and technology (2.9)
- ICT (3.3.3)
- activities of foreign affiliates and multinational companies (3.3.4)
- business registers (4.3.2)
- methodology and organisation of economic censuses (4.3.2)
- methodology and organisation of business surveys (4.3.4)
ANNEX 1
54
2.4 Sectoral statistics
Explanation
(annotation)
Sectoral statistics – statistical activities dealing with one of the specific branches of industry
or services mentioned at the three digit level of the classification
Excludes:
- education (1.3)
- health (1.4)
- social security (1.6)
- culture (1.9)
- statistics covering the whole industrial sector (2.3)
- statistics covering the whole service or market service sector (2.3)
- distributive trade (2.3)
- government and public sector statistics (2.5)
- research and development (2.9)
- telecommunication statistics (3.3.3)
2.4.1 Agriculture, forestry, fisheries
Explanation
(annotation)
Agriculture, forestry, fisheries – includes all agriculture, forestry and fishery related
statistics, e.g. agricultural monetary statistics (agricultural economic accounts), agricultural
structures (farm structure), trade in agricultural products, agricultural labour input, crop
and animal production, agricultural commodities, agro-industry statistics (including food
production and safety), organic farming and organic food, government expenditure for
agriculture, fishing and forestry, products source and use tables, forest and forest product
statistics, forest resource assessment and forest fire, trade in forest products, fisheries.
Excludes
– agricultural and similar prices (2.7)
– rural development (3.2)
– methodology and organisation of agricultural censuses (4.3.2)
– methodology and organisation of agricultural surveys (4.3.4)
2.4.2 Energy
Explanation
(annotation)
Energy - energy supply, energy use, energy balances, security of supply, energy markets,
trade in energy, energy efficiency, renewable energy sources, government expenditure on
energy
Excludes
- energy prices (2.7)
2.4.3 Mining, manufacturing, construction
Explanation
(annotation)
Mining, manufacturing, construction – statistics on specific industrial activities, e.g. steel,
shipbuilding, and on construction, trade in specific products related to mining,
manufacturing and construction
Excludes
- prices of manufactured products (2.7)
- construction prices (2.7)
2.4.4 Transport
Explanation
(annotation)
Transport – covers statistics on all modes of transport (air, rail, road, inland waterways,
sea), includes topics like transport infrastructure, equipment, traffic flows, personal
mobility, safety, energy consumption, transport enterprises, passengers and freight
transport, transport sector trends, road traffic accidents.
ANNEX 1
55
Excludes
- transport prices (2.7)
2.4.5 Tourism
Explanation
(annotation)
Tourism – covers statistics regarding visitor´s activity (such as arrivals/departures, overnight
stays, expenditures, purpose of the visit, etc.) associated to different forms of tourism
(inbound, domestic and outbound), tourism industries activity and infrastructure,
employment and tourism satellite accounts.
Excludes
- prices for tourist services (2.7)
- environmental impacts (3.1)
2.4.6 Banking, insurance, financial statistics
Explanation
(annotation)
Banking, insurance, financial statistics – money, banking and financial market statistics,
including financial accounts, money supply, interest rates, exchange rates, stock market
indicators, securities, bank profitability, private sector insurance and pension fund
statistics, Financial Soundness Indicators.
Excludes
– beneficiaries of private pension funds (1.6)
– financing of state pension and of other state social security schemes (2.5)
2.5 Government finance, fiscal and public sector statistics
Explanation
(annotation)
Government finance, fiscal and public sector statistics – all statistics related to the
government sector, including debt and deficit, revenue and expenditure, accounts of the
government sector, central government, tax rates and revenues, tax and benefit systems,
financing of state pension and other state social security schemes, public sector
employment.
Excludes
– government expenditure in specific areas, like health (1.4), education (1.3), research and
development (2.9), etc.)
2.6 International trade and balance of payments
Explanation
(annotation)
International trade and balance of payments – deals with statistics on all cross-border
transactions recorded in the balance of payments, includes topics like trade in goods and
services, external positions and debt, foreign direct investment, foreign affiliated trade,
tariffs, market access, foreign aid, development assistance, resource flows to developing
countries
Excludes:
– trade in specific commodities/services mentioned in 2.4.1 to 2.4.5
– multinational companies and activities of foreign affiliates (3.3.4)
2.7 Prices
Explanation
(annotation)
Prices – covers any statistical activity dealing with prices, including Purchasing Power
Parities (PPPs) and international comparisons of GDP, covers topics like Consumer Price
Indices (CPI), inflation, Producer Price Indices (PPI), price indexes for specific products and
services (e.g. Information and Communication Technology products).
Excludes
– interest rates (2.4.6)
– wages (2.8)
ANNEX 1
56
2.8 Labour cost *
Explanation
(annotation)
Labour cost – statistics activities on labour cost, earning and wages, both for structural and
short-term statistics
Excludes
- wages as part of total income of private households (1.5)
2.9 Science and technology
Explanation
(annotation)
Science and technology – activities on Science, Technology and Innovation, includes
Research and Development (R&D), innovation, patents, human resources in science and
technology, high tech industries and knowledge based services, biotechnology, financing of
R&D
Excludes:
– information and communication technologies (ICTs) (3.3.3)
– research in statistics (various elements of sub-heading 4)
3. Environment and multi-domain statistics
3.1 Environment
Explanation
(annotation)
Environment – includes topics like climate, climate change, biodiversity, environment and
health, natural resources, soil, water, air, landscape, waste, environmental expenditure,
expenditure for the protection of the environment, environmental accounts, agri-
environmental indicators, environmental pressure, environmental impact of industry,
transport, energy etc., environmental monitoring, material flow analysis, environmental
decoupling indicators, pollution, ecosystems, land use and cover, environmental protection,
nationally protected areas
Excludes
- environment as part of sustainable development (3.3.6)
3.2 Regional and small area statistics
Explanation
(annotation)
Regional and small area statistics – activities dealing with regional statistics and statistics
referring to sub-national areas or areas based on administrative units, urban and rural
statistics, rural development, regional accounts, regional typologies, regional disparities.
Excludes
- international work on classifications of regional and local units outside regional databases
or analytical work (4.2)
- geo-referenced data (4.4)
- thematic maps as form of dissemination (4.5)
3.3 Multi-domain statistics and indicators
Explanation
(annotation)
Multi-domain statistics and indicators – deals with conceptual or data work based on a
specific thematic approach to outputs that cut across several economic, social or
environmental subject areas; the two-digit-level of the classification covers activities
dealing with such type of issues that are not explicitly mentioned at the three-digit level
ANNEX 1
57
Excludes:
- multi-domain statistics based on a regional approach (3.2)
- yearbook type of compendia or similar products by international organisations not
following a specific thematic approach (3.4)
3.3.1 Living conditions, poverty
Explanation
(annotation)
Living conditions, poverty and cross-cutting social issues – includes work on
multidimensional methods to measure poverty, living conditions in the broad sense, social
inclusion/exclusion, social indicators, social situation
Excludes:
- purely monetary approach to poverty (1.5)
3.3.2 Gender and special population groups
Explanation
(annotation)
Gender and special population groups – their living conditions and role in the society:
comparisons men/women and situation of special population groups like children, youth,
women, elderly, disabled, minority groups, etc
3.3.3 Information society
Explanation
(annotation)
Information society – statistics allowing to assess the use and impact of information and
communication technologies on society, includes access and use of ICTs (including
Internet), ICT expenditure and investment, ICT infrastructure, telecommunication networks,
electronic communications, e-government, electronic commerce, e-learning, broadband
penetration, ICT services, communication tariffs, network infrastructure, revenues,
expenses and investment of operators, Internet indicators, trade in telecommunications
equipment
3.3.4 Globalisation
Explanation
(annotation)
Globalisation – deals with measuring the economic activities of multinational companies, as
well as with attempts to measure globalisation through a variety of components from other
subject areas
3.3.5 Indicators related to the Millennium Development Goals
Explanation
(annotation)
Indicators related to the Millennium Development Goals – work on sets of indicators to
monitor the achievement of the Millennium Development Goals agreed upon at the UN
Millennium Summit
3.3.6 Sustainable development
Explanation
(annotation)
Sustainable development – work on indicators and frameworks to monitor the economic,
social and environmental dimensions of sustainable development.
3.4 Yearbooks and similar compendia
Explanation
(annotation)
Yearbooks and similar compendia – multi-domain statistical publications, databases and
other data products without specific thematic or issue-oriented focus.
Excludes:
- Multi-domain statistical products based on specific thematic approaches, like sustainable
development, MDGs etc. (under 3.3.1 to 3.3.5)
ANNEX 1
58
4. General statistical items and methodology of data collection; processing,
dissemination and analysis
4.1 Metadata
Explanation
(annotation)
Metadata – covers harmonising and standardising metadata models, structures and
frameworks in the context of statistical information processing and dissemination, deals
also with harmonising the statistical terminology and definitions.
Excludes:
- standards for electronic data exchange in statistics (5.6)
4.2 Classifications
Explanation
(annotation)
Classifications – activities related to developing, managing, maintaining and harmonizing
economic, social and environmental classifications.
4.3 Data sources
Explanation
(annotation)
Data sources – dealing with different methods of data collection from ultimate respondents
(households or companies) and different forms of data sources at national level. Includes
activities on electronic data reporting and Internet reporting which are not directly related
to specific censuses or surveys. The two digit-level includes only activities that cannot be
allocated to one three-digit item, as well as sources other than censuses, surveys or
administrative records, such as satellite images or other observation type sources
Excludes:
- methods by which international organisations collect data from national producers (5.6)
4.3.1 Population and housing censuses; registers of population, dwellings and buildings
Explanation
(annotation)
Population and housing censuses; registers of population, dwellings and buildings –
methodology and organisation of population and housing censuses, including register
based censuses, development and maintenance of statistical registers of population,
buildings and dwellings covering and following the whole resident population.
Excludes:
- collection of national statistical results from population censuses by international
organisations and subsequent dissemination of international statistics (1.1. or other
relevant area of Domain 1)
- civil and vital events registers (4.3.5)
- administrative sources on persons generated by the social security system or kept for
special population groups in their use for other statistical activities than 4.3.1 (4.3.5)
4.3.2 Business and agricultural censuses and registers
Explanation
(annotation)
Business and agricultural censuses and registers – methodology and organisation of
economic and agricultural censuses, development and maintenance of statistical business
and agricultural registers.
Excludes:
- administrative sources on subsets of agricultural holdings or businesses and their activities
in their use for other statistical activities than 4.3.2 (4.3.5)
- collection of national statistical results from the sources in 4.3.2 by international
organisations and subsequent dissemination of international statistics (2.3 or other relevant
area of Domain 2)
ANNEX 1
59
4.3.3 Household surveys
Explanation
(annotation)
Household surveys – methodology and organisation of household sample surveys including
sample designs; international surveys with direct data collection from households such as
Living Standard Measurement Survey or World Health Survey.
Excludes.
- Dissemination of international statistics based on direct survey activities of international
organisations (relevant area of domain 1)
4.3.4 Business and agricultural surveys
Explanation
(annotation)
Business and agricultural surveys – methodology and organisation of business and
agricultural surveys, including sampling, and international surveys with direct data
collection from businesses.
Excludes:
- Dissemination of international statistics based on direct survey activities of international
organisations (relevant area of domain 2)
4.3.5 Other administrative and non-survey sources
Explanation
(annotation)
Other administrative sources – addresses the suitability of administrative sources for
official statistics, the legal, organisational and conceptual problems of accessing
administrative sources, the use of registers and other administrative sources in other
contexts than censuses
4.4 Data editing and data linkage *
Explanation
(annotation)
Data editing and data linkage – methodological, organisational and legal issues related to
data quality control at the collection phase, including data editing and imputation and use
of geo-referenced data.
4.5 Dissemination, data warehousing *
Explanation
(annotation)
Dissemination, data warehousing – policies, strategies, methods and techniques of data
dissemination, design and organisation of output databases and data warehouses, including
feedback from users, communicating with the media, work of NSO press offices, data and
metadata presentation, electronic dissemination (Internet), statistical portals.
Excludes:
– multi-domain databases as products (3.4)
4.6 Statistical confidentiality and disclosure protection
Explanation
(annotation)
Statistical confidentiality and disclosure protection – legal, organizational and technical
measures to safeguard confidentiality of statistical data, methods of releasing microdata
while protecting against disclosure of individual data
4.7 Data analysis
Explanation
(annotation)
Data analysis – methods of data analysis in official statistics for other purposes than
editing/quality management, e.g. seasonal adjustment, methods for constructing
composite indicators, identification of causal factors, extrapolation, scenario and model
building etc.
ANNEX 1
60
5. Strategic and managerial issues of official statistics at national and
international level
5.1 Institutional frameworks and principles; role of official statistics *
Explanation
(annotation)
Institutional frameworks and principles; role and organisation of official statistics –
activities dealing with developing, harmonising and revising the institutional framework and
principles of official statistics at national and international level, like fundamental principles
of official statistics, organizational and legal aspects of national statistical systems,
functioning and coordination of the statistical systems, organisation of statistical offices,
promotion of official statistics.
5.2 Statistical programmes, priority setting, relationships with users and respondents
Explanation
(annotation)
Statistical programmes; coordination within statistical systems – compiling the statistical
work programmes of international organizations, coordinating the work within national and
international statistical organizations (e.g. coordination of activities between headquarters
and organizations in the field, coordination of decentralised statistical organizations),
processes for setting up national statistical programmes, including relationship with users
and respondents etc.
Excludes
– coordination between international statistical agencies (5.6)
5.3 Quality frameworks *
Explanation
(annotation)
Quality frameworks and measurement of performance of statistical systems and offices –
implementation of the Total Quality Model, development and use of quality management
tools, harmonisation of quality assessment frameworks, performance indicators for
statistical offices.
5.4 Human resources and training
Explanation
(annotation)
Management and development of human resources – organisation of human resources
management and training in national and international statistical agencies.
5.5 Technological resources (including standards for electronic data exchange and data sharing)
Explanation
(annotation)
Management and development of technological resources (including standards for
electronic data exchange and data sharing) – includes electronic data processing, IT
infrastructure, data exchange standards (like EDIFACT/GESMES and SDMX), ICT strategies
for statistics at national and international level
Excludes
– metadata (4.1)
– electronic data reporting (4.3)
– data editing (4.4)
– output databases and data warehouses (4.5)
5.6 Co-ordination of international statistical work
Explanation
(annotation)
Coordination of international statistical work – coordination of statistical activities across
international and supranational statistical organisations, includes work on the Database of
International Statistical Activities, work of the Conference of European Statisticians,
Statistical Commission and the Coordinating Committee of Statistical Activities
ANNEX 1
61
5.7 Technical cooperation and capacity building programmes
WARNING!
This category
has been
ABOLISHED
when reporting
Technical
cooperation
and capacity
building
activities
N.B. This is a classification code used when giving classifications to statistical activities in
general but NOT WHEN REPORTING TECHNICAL COOPERATION ACTIVITIES. When
reporting Technical cooperation and capacity building activities the fields of activities
should be defined according to the abundant set of codes referred to above. So – DO NOT
USE THIS CODE when reporting Technical cooperation and capacity building activities!
ANNEX 1
62
d) Information on financial and non-financial support
For this survey, financial support refers to support provided through investment projects (stand-
alone project or component of projects), budgetary support, and technical cooperation projects and
is transferred to recipient country directly or through implementing agencies.
Financing Instrument
Loan/credit: financing that is reimbursable over time to lending partner
Grant: financing that is not reimbursable.
Financing Approach
Stand-alone project/programme: investment projects or technical cooperation projects that target
the use of funds for statistical activities/expenditures.
Component of project/programme: component of investment projects or technical cooperation
projects allocated to statistical activities.
Budgetary support: direct budgetary support for policy and institutional reforms or to implement a
comprehensive programme or specific sector/thematic strategy relying on the recipient country’s
budgetary processes; funds are not targeted, but disbursements generally subject to policy actions.
Financing Mechanism
Not co-financed: financing is provided by only one development partner, based on direct agreement
with government of recipient country.
Parallel Financing: financing based on a direct agreement between a development partner and a
recipient country; more than one development partner could be involved in financing, each with own
separate agreement with recipient government to finance components/activities within a general or
sector budget support/project/programme
Joint/pooled Financing: financing provided by a number of development partners that is combined
for a general or sector budget support/programme/project.
Financing through Intermediary Organization: financing that is channeled through a third party, e.g.
from bilateral donor to multilateral institution; from bilateral or multilateral organization to a
regional or sub-regional organization or to a civil society organization; from a regional organization to
a sub-regional organization or civil society organization.
Financing amount
Commitment: the total amount committed for the statistical component of the project/programme;
for non-financial support, the estimated cost budgeted/spent for this support. The amount can be:
(i) the amount specified in the project/programme documentation; (ii) an amount estimated by the
respondent (when amount is not specified in project/programme documentation); or (iii) an amount
revised since the project/programme was approved.
Currency: currency in which activity is valued.
Disbursement: the actual amount spent for this support over the last financial/calendar year.
ANNEX 1
63
Use of financial and non-financial support
Technical assistance (TA): financing of specialized professional services (consultancy services from
individuals/firms with required know-how and expertise) aimed at enabling the recipient country to
implement reforms or strengthen its institutions.
Training: financing of training related to a specific project/programme. For non-financial support,
this refers to training costs directly financed by the financial or technical partner.
Goods and equipment: financing of materials and equipment in the context of a
project/programme. For non-financial support, this refers to the provision of goods and equipment
directly financed by the financial or technical partner.
Infrastructure: financing of infrastructure expenditures in the context of a project/programme. For
non-financial support, this refers to infrastructure expenditures directly financed by the financial or
technical partner.
Operating costs: financing of expenditures related to the operation of a project/programme (e.g.,
administrative costs, petrol, maintenance costs, etc). For non-financial support, this refers to costs
directly financed by the financial or technical partner.
Type of technical assistance
Twinning: financing of TA that pairs an organizational entity in a recipient country with a similar but
more mature entity in a development partner country
Long-term: financing of long-term experts for specific project/programme objectives for a minimum
of one year.
Short-term: financing of short-term experts for timely assignments in the context of a
project/programme.
e) Agreement to use information
Please indicate whether the information provided in this questionnaire can be used in a report
summarizing the results of the survey.
f) Status of planned project/programme
For each planned activity, please indicate its status (stage of project/programme cycle), as follows:
(i) the identification stage refers to the concept phase of the activity; (ii) under preparation/appraisal
stages refer to ongoing preparation of the project/programme up to the negotiation stage; and (iii)
approval stage refers to the final phase of the project/programme, prior to approval by the
financial/technical partner.
ANNEX 2
63
ANNEX 2
PRESS – List of Financial and Technical Partners and Reporting Status
Partner Name Reporting Status Comments
1 Australia Submitted
2 Austria PRESS questionnaire not
sent; use CRS
3 Belgium Submitted
4 Canada Submitted
5 Denmark Submitted
6 Finland Submitted
7 France Submitted
8 Germany Submitted
9 Greece Submitted
10 Ireland
11 Italy Submitted ISTAT only
12 Japan CRS only
13 Luxembourg CRS only
14 New Zealand CRS only
15 Norway Submitted
16 Portugal CRS only
17 Spain CRS only
18 Sweden Submitted
19 Switzerland Submitted
20 UK Submitted
21 USA Submitted
22 European Commission Submitted
23 FAO
24 Health Metrics Network Submitted
25 IMF Submitted
26 PARIS21 Submitted
ANNEX 2
64
Partner Name Reporting Status Comments
27 UNAIDS
28 UNCTAD Submitted
29 UNDP
30 UNEP
31 UNESCO-UIS Submitted
32 UNFPA Info not available at HQ
level;
website being developed
33 UN Habitat
34 UNICEF Submitted
35 UNIDO Submitted
36 ILO Submitted
37 UNSD Submitted
38 World Bank Submitted
39 WHO Info not available at HQ
level
40 World Trade Organization No activities
41 World Tourism Organization Submitted
42 Africa Development Bank Submitted
43 African Union
44 Arab Monetary Fund
45 Arab Fund for Economic and Social
Development
Submitted 2007 Annual
Report
No specific statistical
activities
46 Arab Labor Organization
47 Arab League for Educational, Cultural and
Scientific Organization
48 Arab Organization for Agriculture
Development
49 Asian Development Bank Submitted
50 Inter-American Development Bank Submitted
51 Islamic Development Bank Submitted
52 Saudi Fund
53 UNECA Submitted
54 UNECE Submitted
55 UNECLAC Submitted
ANNEX 2
65
Partner Name Reporting Status Comments
56 UNESCAP Submitted
57 UNESCWA
58 UNSIAP Submitted
59 African Capacity Building Foundation Submitted
60 AFRISTAT
61 ASEAN Submitted
62 BEAC
63 BCEAO
64 CARICOM Submitted
65 Caribbean Development Bank
66 CEMAC Submitted Projects financed by EC
67 CISSTAT Submitted
68 COMESA
69 CPLP
70 EAC
71 ECOWAS
72 LAS
73 Secretariat of the Pacific Community Submitted
74 SADC
75 SAARC
76 UEMOA
77 Arab Institute for Training and Research in
Statistics
78 EASTC
79 ENEA
80 ENSEA
81 ISSEA
82 SESRIC Submitted
83 Gates Foundation
84 Hewlett Foundation
ANNEX 2
66
ANNEX 3
PRESS: Exchange Rates – Period Average
Country Period Exchange Rate
Australia (USD/Aus$) 2005
2006
2007
.7638
.7534
.8386
Euro/USD 1999
2001
2002
2003
2004
2005
2006
2007
2008 (I Qtr)
1.0654
1.1175
1.0626
.8860
.8054
.8041
.7971
.7306
.6673
Denmark (DkKr/USD) 2007
2008 (I Qtr)
5.444
4.973
Sweden (SwKr/USD) 2008 (I Qtr) 6.2735
UK (USD/Pound) 2001
2002
2003
2004
2005
I Qtr 06
II Qtr 06
III Qtr 06
IV Qtr 06
2006
I Qtr 07
II Qtr 07
III Qtr 07
IV Qtr 07
2007
2008 (I Qtr)
1.4400
1.5013
1.6344
1.8318
1.8204
1.7526
1.8266
1.8745
1.9168
1.8426
1.9545
1.9864
2.0198
2.0460
2.0017
1.979
Canada (Can$/USD) 2003
2006
2007
2008 (I Qtr)
1.4011
1.1344
1.0741
1.0045
Switzerland (SwF/USD) 2005
2006
2007
2008 I Qtr)
1.2452
1.2538
1.2004
1.09
USD/SDR 2004
2005
2006
2007
1.48201
1.47734
1.47141
1.53091
Source: International Financial Statistics, International Monetary Fund
ANNEX 4
67
ANNEX 4
PRESS – Countries Covered IDA Countries Lower Middle Income Countries
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
Afghanistan
Albania
Angola
Armenia
Azerbaijan
Bangladesh
Benin
Bhutan
Bolivia
Bosnia and Herzegovina
Burkina Faso
Burundi
Cambodia
Cameroon
Cape Verde
Central African Republic
Chad
Comoros
Congo Republic
Congo, Democratic Republic
Côte d’Ivoire
Djibouti
Dominica
Eritrea
Ethiopia
Gambia, The
Georgia
Ghana
Grenada
Guinea Guinea-Bissau
Guyana
Haiti
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63 64
65
64
Honduras
India
Indonesia
Kenya
Kiribati
Korea, DR
Kyrgyz Republic
Lao PDR
Lesotho
Liberia
Madagascar
Maldives
Malawi
Mali
Mauritania
Moldova
Mongolia
Mozambique
Myanmar
Nepal
Nicaragua
Niger
Nigeria
Pakistan
Papua New Guinea
Rwanda
Samoa
Sao Tome and Principe
Senegal
Sierra Leone Solomon Islands
Somalia
Sri Lanka
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
St. Lucia
St. Vincent & Grenadines
Sudan
Tajikistan
Tanzania
Timor-Leste
Togo
Tonga
Uganda
Uzbekistan
Vanuatu
Vietnam
Yemen, Republic
Zambia
Zimbabwe
Other African Countries
Botswana
Equatorial Guinea
Gabon
Mauritius
Seychelles
South Africa
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
Algeria
Belarus
China
Colombia
Cuba
Dominican Republic
Ecuador
Egypt
El Salvador
Fiji
Guatemala
Iran, Islamic Republic.
Iraq
Jamaica
Jordan
Kosovo
Macedonia, FYR
Marshall Islands
Micronesia, Federal States
Morocco
Namibia
Paraguay
Peru
Philippines
Suriname
Syrian Arab Republic
Swaziland
Thailand
Tunisia
Turkmenistan
Ukraine
West Bank and Gaza
Source: Definition of IDA countries and Lower Middle Income countries according to World Bank, World Development Indicators, 2008.
ANNEX 5
68
ANNEX 5
PRESS – Summary of Estimated Annual Disbursements, by Partners and Geographical Region, 2006-15
(USD millions) Partner 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 TOTAL
World Bank 24.8 32.5 30.6 26.2 18.3 6.3 2.9 1.1 0.2 - 142.8
EC 66.6 77.0 68.1 34.7 8.5 3.4 1.4 1.0 0.6 - 261.3
UK 30.6 31.5 25.1 14.1 9.4 1.4 0.8 0.1 - - 113.0
IMF 5.5 9.9 4.3 - - - - - - - 19.7
AfDB 5.2 1.8 0.6 - - - - - - - 7.7
Other bilaterals 30.6 21.2 12.4 9.2 5.8 3.3 0.6 0.5 0.2 0.2 84.2
Other partners 21.9 30.5 22.0 13.4 2.5 0.6 0.5 0.5 0.5 0.5 93.2
TOTAL 185.3 204.5 163.1 97.6 44.6 15.0 6.3 3.2 1.5 0.7 721.9
Region 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 TOTAL
Africa 104.7 119.1 85.3 49.3 26.7 7.7 3.2 2.1 1.2 0.6 399.9
Asia 14.4 9.3 10.2 6.0 4.6 2.3 0.8 0.4 0.1 - 48.0
Europe and Central Asia 16.1 17.4 14.4 9.5 1.9 1.3 - - - - 60.7
Latin America & Caribbean 10.7 19.1 11.4 8.3 5.6 2.5 1.3 0.5 - - 59.5
Middle East & N. Africa 10.6 9.1 10.7 10.3 2.9 0.5 0.2 0.1 - - 44.5
Unallocated 30.1 29.7 30.8 13.9 2.5 0.9 0.8 0.2 0.2 0.2 109.2
TOTAL 187.0 204.1 164.0 97.2 44.1 15.0 6.3 3.2 1.5 0.8 721.8
N.B. Totals may not add due to rounding.
ANNEX 6
69
ANNEX 6
Summary of TFSCB Grants, 2005-2008 (USD millions)
Recipient Country
Project Name Comm.
Amt
Start
Period
End Period
Recipient Country
Project Name Comm.
Amt
Start
Period
End Period
SUB-SAHARAN AFRICA
Burundi Action Plan for Statistics 200,000 May 06 May 08 Niger NSDS 240,000 Nov 05 Nov 07
Cameroon SCB and Implementation of M&E Poverty Tools
70,000 Dec 04 May 08 Nigeria Sub-National Governments’ Statistical Strategy and Master Plan
200,000 May 06 May 08
Cameroon Preparation of NSDS 90,000 May 07 May 09 Rwanda National Statistical Institute CB Project
200,000 Jan 08 Jan 10
CAR Strengthening NSS 180,000 Sep 05 Sep 07 STP Strengthening NSI, Elaboration of NSDS
250,000 May 06 May 08
Comoros NSDS 50,000 Oct 06 Oct 08 Tanzania Development of SMP 160,000 Jun 05 Jul 06
Djibouti Capacity Building for NSA 250,000 Dec 05 Dec 07 Togo NSDS 90,000 Oct 06 Oct 08
Ethiopia Development of NSDS 150,000 Apr 06 Apr 08 SADC SCB for Poverty Reduction Strategies, II
390,000 Dec 04 Jun 06
Gabon SCB 400,000 Mat 07 Jun 10 Africa Support to CountrySTAT 100,000 Nov 06 Dec 07
Gambia Updating of SMP and Preparation of Financial Strategy
570,000 Aug 06 Aug 08 Africa Institutional Assessment of Transport Data in SSA
100,000 May 06 May 08
Gambia Transformation of CSD into GBS
150,000 May 07 May 09 Africa Building Capacity for Poverty Analysis
260,000 Nov 06 Jun 08
Ghana Support toward Development of Statistical Service Corporate Plan
230,000 Dec 05 Dec 07 Africa Developing Country Participation in 2008 Africa STATCOM I and FASDEV III
100,000 Jan 08 Jul 08
Guinea
Statistical Master Plan 120,000 Nov 05 Nov 07 Africa Evaluation of TFSCB 40,000 May 07 Dec 07
Mauritania Statistical Master Plan 100,000 Sep 05 Sep 09 Africa Support to NSDS/African Regional Stat Schools
230,000 Mar 08 Mar 10
Mauritania SCB 170,000 May 07 Jul 10
ANNEX 6
70
Recipient Country
Project Name Comm.
Amt
Start
Period
End Period
Recipient Country
Project Name Comm.
Amt
Start
Period
End Period
ASIA
Afghanistan SCB Primary Data Collection
150,000 Feb 08 Feb 10 Indonesia Development of SMP 80,000 Aug 07 Dec 08
Bhutan Strengthening NSS for Enhanced Poverty Reduction
250,000 May 06 May 08 Lao PDR Strategic Statistical Development Project
350,000 Dec 05 Dec 08
India Preparation of SMP 140,000 Dec 07 Jun 09 Mongolia Strengthening institutional Statistical System
200,000 Dec 05 Dec 07
India Tracking Results for Better Performance of Health Sector
120,000 Jan 08 Jan 10 Mongolia Updating SMP and preparing Financial Strategy
70,000 Dec 06 Dec 08
CENTRAL ASIA
Armenia SMP and TA in Strengthening Statistical Capacity
100,000 Oct 07 Oct 09 Kyrgyzstan Implementation of SMP 300,000 Dec 07 Dec 09
LATIN AMERICAN AND CARIBBEAN
Bolivia Statistical Information for Development Planning
200,000 Jan 08 Jan 10 Guyana National Statistical Strategy 280,000 Dec 05 Dec 07
Guatemala Monitoring of Statistics in Health and Education
220,000 May 07 May 09 LAC Programme for Strengthening Compilation of Social, Gender and Environment Statistics, II
120,000 Nov 06 Dec 08
UNALLOCATED
Global OECD World Forum on Statistics, Knowledge and Policy
100,000 Aug 06 Jun 07 Global Support for Developing Country Participation to Standard Data, Metadata Conference
50,000 Dec 06 Mar 07
Global Statistical Conferences Developing Country Support Program
120,000 Aug 06 Nov 07 Global Developing Country Participation in UN Conference on Climate Change & Official Stats
100,000 Mar 08 Aug 08
Global Developing Country Participation in 2008 UNSC
70,000 Dec 07 May 08
ANNEX 7
71
ANNEX 7
PRESS – Summary of Active Commitments, by Partner,
Pre-2006-2008 (USD thousands)
Partner Pre-2006 2006 2007 2008 TOTAL Planned
BILATERAL PARTNER
Australia 6,260 1123 104 7,488
Belgium 1,273 185 1,458 xx
Canada 1,109 1,366 9,379 11,854 xx
Denmark 16,340 168 6,778 23,286
Finland 250 250 xx
France 1458 3086 4123 8667
Germany 1,852 3,105 4,956
Ireland 452 452
Italy 1,056 301 1,357
Japan 32,059 2,489 34,548
Luxembourg 1,362 1,362
Netherlands 17,857 103 1,300 19,260
New Zealand 716 716
Norway 7,325 1,512 1,765 10,602
Portugal 554 554
Spain 683 683
Sweden 7,172 7,172 xx
Switzerland 2,632 3 750 3,385
UK 107,300 32,780 32,795 22,484 195,359 xx
USA 1,912 180 4,938 1,865 8,896
MULTILATERAL PARTNER
European Commission
257,694 41,386 40,192 3,000 342,272
Health Metrics Network
6,900 6,700 13,600
IMF (FY07-FY08) 9,502 10,213 19,715
UNESCO-UIS 2,052 2,052
UNICEF 7,000 12,408 38 19,446
UNCTAD 402 402
ANNEX 7
72
Partner Pre-2006 2006 2007 2008 TOTAL Planned
UNIDO 536 536
ILO * 100 20 135 255
UNSD 11,828 11,828
World Bank 112,220 14,400 36,150 8,370 171,140 xx
World Tourism Org. 466 466
REGIONAL ORG.
Africa Development Bank
18,670
325 18,995
Asian Development Bank
3,450 1,100 1,500 6,050
EFTA 99 99
Inter-American Development Bank
14,340 150 6,850 21,340 xx
Islamic Development Bank
298 1,150 269 1,717
UNECA 7,000 7,000
UNECE 1,135 100 1,235
UNECLAC 600 298 898
UNESCAP 709 875 938 2,522
UNSIAP ** -
SUB-REGIONAL ORGS.
ACBF 7,149 5,244 5,700 18,093
ASEAN 489 538 1,027
CARICOM -
Caribbean Development Bank
921 921
CEMAC *** -
CISSTAT ** -
SPC 1.8
TRAINING INSTITUTES
SESRIC 50 75 125
TOTAL COMMITMENTS 631,968 141,848 168,339 61,479 1,003,634
* Refers only to projects for the Asia-Pacific Region.
** Amounts not reported.
*** Projects financed by EC.
ANNEX 8
73
ANNEX 8
Health Metrics Network: Country Grants, 2006-07 (USD)
Recipient Country Grant Amount Recipient Country Grant Amount Recipient Country Grant Amount
ROUND ONE
Afghanistan 150,000 Kyrgyzstan 120,000 Sudan 250,000
Bangladesh 150,000 Lao PDR 200,000 Swaziland 49,877
Benin 150,000 Lesotho 50,000 Syria 80,000
Bhutan 69,640 Malawi 364,906 Tanzania 175,000
Cambodia 198,965 Moldova 150,000 Timor Leste 110,000
Cameroon 90,000 Mongolia 149,950 Tunisia 100,000
China 500,000 Myanmar 150,000 Uganda 149,970
Comoros 48,587 Namibia 100,000 Vietnam 196,475
Congo Republic 60,000 Nigeria 100,000 Yemen 100,000
Eritrea 110,000 Oman 100,000 Zambia 100,000
Ethiopia 230,000 Panama 100,000
Gambia 70,000 Philippines 110,000
Ghana 500,000 Rwanda 70,000
Indonesia 191,400 Senegal 91,445
Kenya 100,000 Sierra Leone 191,350
ROUND TWO
Albania Côte d’Ivoire 50,000 Mali 47,360
Armenia 24,500 El Salvador 50,000 Nicaragua 49,914
Azerbaijan 50,000 Fiji 48,585 Sri Lanka 45,575
Belize 39,337 Georgia 35,780 Tonga 25,900
Bolivia 50,000 Guatemala 50,000 Turkey 50,000
Burkina Faso 49,591 Guinea Bissau 22,170 Zanzibar 45,131
Burundi 38,870 Hungary 48,700 Zimbabwe 50,000
Congo, DR 49,860 Iran 45,000
TOTAL ROUND 1+2, 2006-07 6,943,838
N.B.: Oman, Panama, Belize, Hungary, and Turkey are not covered by the PRESS 2008.
ANNEX 9
74
ANNEX 9
Status of Key Surveys and Censuses, 2006-08
Demographic and Health Survey
MICS3 Population
Census
Agriculture Census
Household Surveys
CWIQ
Country Type Fieldwork Status Final
Report Data
Collection Report
Date 2010 Round
Date 2000 Round
Type Date Latest
Algeria Apr-08
2001
Angola (2010 or 2014) 2007
Benin Standard Jul-Nov 06 Completed Available (2012) 08?
Botswana (Aug 2011)
Burkina Faso 2006 Dec-06 2007
Burundi (Aug 2008) 08?
Cameroon 2006 Nov-05
Cape Verde (2010) 2004 06 & 07
CAR 2006 Preliminary (2013) Pilot 07
Chad (2008)
Comoros (2013) 2004
Congo Rep. May-08 2006
Côte d'Ivoire 2006 Final (Nov 2008) 08?
DRC Standard Jan-Aug 07 Ongoing Ongoing (2010)
Djibouti 2006 Preliminary (….) 2001
Equatorial Guinea
(…)
08?
Eritrea (2009)
Ethiopia May-07 2001-2002
Gabon (2013)
Gambia 2005-06 Final (2013) 2001-2002
Ghana
2005-06 Final (Mar 2010) 08?
Guinea (Dec 2008) 2000-2001 2007
Guinea-Bissau 2006 Final Jun-08
Kenya 2007 (May 2009)
Lesotho Apr-06 1999-2000
ANNEX 9
75
Demographic and Health Survey
MICS3 Population
Census
Agriculture Census
Household Surveys
CWIQ
Country Type Fieldwork Status Final
Report Data
Collection Report
Date 2010 Round
Date 2000 Round
Type Date Latest
Liberia Standard Nov 06-Mar 07
Ongoing Ongoing
Mar-08
2007
Madagascar (2009) 2004
Malawi 2006 Preliminary Jun-08 06;07;08
Mali Standard May-Dec 06
Completed Available (Apr 2009)
2006
Mauritania 2007 (Feb 2010) 08?
Mauritius (Jul 2010)
Mozambique Aug-07 1999-2000
Namibia Standard Oct 06-Mar 07
Ongoing Ongoing (2011) 1996-1997
Niger Standard Jan-Apr 06 Completed Available 2006 Final (2011)
Nigeria 2007 Mar-06 2006; 08?
Rwanda Interim Dec 07-Apr 08
Ongoing Ongoing
(2012) 2000
08?
STP 2006 (2011)
Senegal (2011) 1998-1999
Seychelles (Agu 2010) 1998
Sierra Leone (2014) 2007
Somalia 2006 Final (…)
South Africa (Oct 2011) 2000
Sudan
2006
Apr-08 08?
Swaziland Standard Jul 06-Mar 07
Completed Available May-07 2003
Tanzania (Aug 2012)
2002-2003 2006
Togo 2006 Final (2009) 1996 2006
Uganda Standard Apr-Oct 06 Completed Available (Sep 2012)
Zambia Standard Apr-Nov 07 Ongoing Ongoing (Aug 2010)
Zimbabwe Standard Aug 05-Mar 06
Completed Available
(Aug 2012)
ANNEX 9
76
Demographic and Health Survey
MICS3 Population
Census
Agriculture Census
Household Surveys
CWIQ
Country Type Fieldwork Status Final
Report Data
Collection Report
Date 2010 Round
Date 2000 Round
Type Date Latest
Cambodia Standard Sep 05-Mar 06
Completed Available
Mar-08
China (2010) 1997
Fiji Sep-07
Indonesia Standard Jul-Sep 07 Ongoing Ongoing (Oct 2010) 2003
Kiribati (2010)
Lao PDR 2006 Mar-05 1998-1999
Mongolia (Jan 2010)
Papua New Guinea
(2010)
Philippines 2007 Aug-07 2002
Solomon Islands
(Nov 2009)
Timor Leste (Jul 2010)
Tonga Nov-06 2001
Vanuatu
2007
(Nov 2009)
Vietnam 2006 (Apr 2009) 2001
Afghanistan (Aug 2008)
Bangladesh Standard Mar-Aug 07
Ongoing Ongoing 2006
Final (Mar 2011) 2005
Bhutan May-05 2000
India Standard Dec 05-Aug 06
Completed Available
(2011) 1995-1996 2000-2001
Myanmar (…) 2003
Nepal Standard Feb-Aug 06 Completed Available (Jun 2011) 2002
Pakistan Standard Mar-Jun 06 Ongoing Ongoing (2008) 2000
Sri Lanka (Jul 2011) 2002
ANNEX 9
77
Demographic and Health Survey
MICS3 Population
Census
Agriculture Census
Household Surveys
CWIQ
Country Type Fieldwork Status Final
Report Data
Collection Report
Date 2010 Round
Date 2000 Round
Type Date Latest
Albania Standard Oct 08-Jan 09
Ongoing Ongoing
(2011)
1998 LSMS 2005
Armenia (2011)
Azerbaijan Standard Apr-Aug 06 Ongoing Ongoing (Apr 2009)
Bosnia and Herzegovina
2006 Final (2011)
Georgia (Jan 2010) 2004
Moldova (2012)
Kyrgyzstan 2005-06 Final (Mar 2009) 2002
Tajikistan (2010)
Turkmenistan 2006
(Dec 2009)
Ukraine Standard Jul-Nov 07 Ongoing Ongoing (2011)
Uzbekistan 2006 Final (…)
Bolivia (2010) LFS 2005
Colombia Standard Jul-Aug 07 Ongoing Ongoing HHS 2006
Cuba 2006 Final (2012)
Dominican Rep.
Standard Mar-Jul 07 Ongoing Ongoing 2006
Final (2010) LFS/HHS 06; 07
Ecuador (2010) 1999-2000
El Salvador May-07
Guatemala (2012) 2003
Guyana 2006-07 (Aug 2012)
Haiti Standard Oct 05-May 06
Completed Available
(2013)
Honduras Standard Oct 05-May 06
Completed Available
(2012)
Jamaica 2005 Final -2011 1996
Nicaragua Jun-05 2001 LSMS 2005
ANNEX 9
78
Demographic and Health Survey
MICS3 Population
Census
Agriculture Census
Household Surveys
CWIQ
Country Type Fieldwork Status Final
Report Data
Collection Report
Date 2010 Round
Date 2000 Round
Type Date Latest
Paraguay HHS 2005
Peru Continuous 5 cycles
Dec 03-Dec 08
Completed Available
Aug-05
QLSMS 2005
St. Lucia 1996
Suriname 2006 (Aug 2011)
Algeria
2006 Preliminary
Apr-08 2001
Egypt Dec-06 1999-2000
Iraq 2006 Final (Oct 2009)
Jordan (Nov 2014) 1997
Morocco 2006 (Sep 2014) 1996
Syria 2006 Final (2014)
Tunisia 2006 (2014) 2004
Yemen 2006 (2014) 2002
West Bank and Gaza
Dec-07
Standard DHS has a sample size of 5,000-30,000 households and is carried out every 5 years.
(Date) = expected on
this date
Interim DHS has a sample size of 2000-3000 households and is carried out between standard DHS. It focuses on key
performance monitoring indicators.
(...) = expected
during decade
Sources: DHS: www.measuredhs.com; MICS: www.childinfo.org/mics3_surveys; PC: http://unstats.un.org/unsd/demographic/sources/census; agriculture census: www.fao.org; household surveys: worldbank.org/lsms, MECOVI program, and World Bank CWIQ coordinator.
ANNEX 10
79
ANNEX 10
Status of Accelerated Data Program
ADP Tasks Global ADP (requested Toolkit training)
Pilot Countries
Tool Requests
1 NADA 2 3
Countries Tool
Requests
1 Bangladesh Y Y 1 Botswana Y
2 Cameroon Y Y P 2 Burkina Faso Y
3 DRC Y Y 3 Dominica Y
4 Ethiopia Y Y Y 4 Lao PDR Y
5 Fiji Y 5 Lesotho Y
6 Gambia Y Y 6 Mauritania Y
7 Ghana Y Y 7 Namibia Y
8 Guatemala Y Y 8 Nicaragua Y
9 Guinea Y 9 West Bank/Gaza Y
10 Guyana Y 10 Qatar Y
11 Honduras Y Y 11 Sierra Leone Y
12 Indonesia Y 12 South Africa Y
13 Kenya Y Y 13 St. Lucia Y
14 Liberia Y Y Y Y 14 Swaziland Y
15 Mali Y Y P 15 Uruguay Y
16 Mongolia Y Y 16 Timor Leste Y
17 Mozambique Y Y 17 Trinidad/Tobago Y
18 Niger Y Y Y
19 Nigeria Y Y Y P
20 Peru Y Y
21 Philippines Y
22 Rwanda Y
23 Senegal Y Y
24 Sri Lanka Y Y
25 Thailand Y
26 Uganda Y Y Y P
27 Vietnam Y
28 Yemen Y Y
Y = Yes P = Planned
Task 1 : make existing survey microdata accessible. Task 2 : assess quality of survey data to improve relevance and quality of future surveys Task 3 : assist design of medium- and long-term survey program and co-finance data collection NADA : National Data Archive, cataloguing system to complement Toolkit and complete Task 1
Source : PARIS21 Secretariat
ANNEX 11
80
ANNEX 11
Status of NSDS in IDA Countries, as of September 2008
The following table presents the status of National Strategies for the Development of Statistics (NSDS) in International Development Association (IDA) borrower countries
1 as of 30 September 2008. The information is
drawn from four principal sources:
Direct information provided by countries; Country work of PARIS21 Regional Advisors; Websites of key development partners (in particular the World Bank's Country Statistical Information
Database); Websites of countries’ national statistical offices.
The table is sorted by geographical region and provides information on existing strategy, next NSDS, and PRSP time span. It should be noted that, while existing strategies may not necessarily follow the NSDS guidelines, most strategies currently being designed follow them. This table is updated on a regular basis, as information is received, and is available on the PARIS21 website.
Summary Table of NSDS Status in IDA Countries
LEGEND For existing NSDS
Category Definition
No strategy There is no strategy in place.
Completed, awaiting adoption An NSDS document has been completed but has not yet been adopted by the government.
Implementation An NSDS document has been adopted by the government and is being implemented.
Expired The existing strategy has expired.
For next NSDS Category Definition
Not yet planned The process to design an NSDS has not yet started.
Planned The process to design an NSDS has been initiated (e.g., roadmap) and funding is being sought.
Being designed An NSDS is being designed with funding secured
Completed, awaiting adoption An NSDS document has been completed. Once approved, it will replace the existing NSDS.
Countries currently
implementing a strategy
Countries currently
designing a strategy or
awaiting adoption
Countries with strategy expired or
without strategy and currently
planning an NSDS
Countries without a strategy nor planning one TOTAL
No. % No. % No. % No. %
AFRICA 21 53% 17 42% 2 5% 0 0% 40
ASIA and PACIFIC 12 44% 3 11% 9 33% 3 11% 27
LATIN AMERICA & CARIBBEAN 3 33% 2 22% 4 44% 0 0% 9
EUROPE 1 50% 1 50% 0 0% 0 0% 2
TOTAL 37 47.5% 23 29.5% 15 19% 3 4% 78
ANNEX 11
81
COUNTRY EXISTING STRATEGY NEXT NSDS PRSP
Time span Status Name Time Span Status Time span
AFRICA
Angola Strategy expired Plano Estatistico Nacional de Medio Prazo 2002 - 2007 Planned 2003-2008
Benin Implementation Plan for only CSO (INSAE) 2005 - 2014 Completed awaiting adoption2
2007-2012 2006-2008
Burkina Faso
Implementation Schéma Directeur de la Statistique 2004 - 2009 Planned3 2009-2012 Review in progress
Burundi Strategy expired4 Statistics Action Plan 2004 - 2007 Being designed 2007-2011 2006-2009
Cameroon Strategy expired Multi annual plans 2003-2005 2003 - 2005 Being designed 5 2008 - 2012 2003-2008
Cape Verde Implementation Plano estatistico 2006 - 2010 Not yet planned 2005-2007
CAR No strategy Being designed6 Under
preparation
Chad Strategy expired PPAST--Programme d'Activités Statistiques à Moyen-Terme
2002 - 2007 Being designed 2004-2008
Comoros Implementation7 Stratégie Nationale de Développement de la Statistique
2008 - 2012 Not yet planned 2008-2012
Congo Implementation8 Programme pluriannuel de développement statistique
2005 - 2009 Not yet planned Interim PRSP
(2004)
Côte d’Ivoire
Completed, awaiting adoption
Stratégie Nationale de Development de la Statistique 2008-2010
2008 – 2010 Not yet planned Interim PRSP
(2002)
Djibouti Implementation Schéma Directeur de la Statistique 2006 - 2010 Not yet planned 2006-2010
DRC No Strategy Being designed9 2006-2008
Eritrea Implementation Master plan for development economics statistics
Planned10 2008- No PRSP
Ethiopia Implementation Medium Term National Statistical Program for Ethiopia
2004 - 2008 Being designed 2008- 2002-2006
Gambia Implementation Master Plan for the Statistics System of The Gambia
2006 - 2011 Being designed11 2008-2011 2007-2011
Ghana Strategy expired GSS Short Term Action Plan 2001 - 2005 Being designed 2008- 2006-2009
Guinea No Strategy Being designed12 2008-2013 2007-2012
Guinea-Bissau
No Strategy Being designed13 2008-2013 2006-2008
Kenya Implementation Strategic plan for National Statistical System14
2004 - 2008 Not yet planned 2003-2007
Lesotho Strategy expired CSO Plan 2002 - 2005 Being designed 2007-2012 2004-2007
Liberia No Strategy Being designed Interim PRSP
(2006)
Madagascar
Completed, awaiting adoption15
Stratégie Nationale de Développement de la Statistique
2007 - 2012 Not yet planned 2007-2012
Malawi Implementation NSO Strategic Plan 2007 - 2011 Being Designed 2008-2012 2006-2011
Mali Implementation16 Schéma Directeur de la Statistique 2006 - 2010 Not yet planned 2007-2011
Mauritania Completed, awaiting adoption17
Stratégie Nationale de Développement de la Statistique
2007 - 2012 Not yet planned 2006-2010
Mozambique
Implementation Plano estrategico do sistema estatistico nacional
2008 - 2012 Not yet planned 2006-2009
Niger Implementation Stratégie Nationale de Développement de la Statistique
2008 - 2012 Not yet planned 2008 – 2012
Nigeria Implementation Statistical Master Plan for the Nigeria National Statistical System18
2005 - 2009 Not yet planned 2003-2007
Rwanda Implementation Rwanda national institute of statistics strategic plan
2007 - 2011 Not yet planned 2007-2012
Sao Tome and Principe
No strategy 2008 - 2012 Being designed19 2003-2015
Senegal Implementation20 Schéma Directeur de la Statistique 2008 - 2013 Not yet planned 2006-2010
Sierra Leone
Implementation21 National Strategy for the Development of Statistics
2008-2012 Not yet planned 2005-2007
ANNEX 11
82
COUNTRY EXISTING STRATEGY NEXT NSDS PRSP
Time span Status Name Time Span Status Time span
Somalia No strategy Planned No PRSP
Sudan Implementation Central Bureau of Statistics Strategic Plan 2003 - 2008 Planned I-PRSP
(2003/4)
Tanzania Completed, awaiting adoption22
Tanzania Statistical Master Plan 2008 - 2018 Not yet planned 2005-2008
Togo No strategy Being designed23 2007-2012 Interim PRSP
(2007)
Uganda Implementation Plan for National Statistical Development 2006 - 2011 Not yet planned 2005-2008
Zambia Strategy expired Zambia CSO Strategic Plan 2003 - 2007 Being designed24 2008 - 2006-2010
Zimbabwe Implementation National Strategy for the Development of Statistics
2007 - Being designed No PRSP
ASIA and PACIFIC
Afghanistan
Implementation 5-Year Statistical Master Plan (SMP) 2004 - 2009 Not yet planned Interim PRSP
(2006)
Armenia No strategy Being designed 2004-2008
Azerbaijan Implementation State Program on improvement of the official statistics
2008-12 Not yet planned 2003-2005
Bangladesh No strategy None Planned 2005-2015
Bhutan Implementation Three-Year Action Plan 2006 - 2008 Being designed 2002-2007
Cambodia Implementation Statistical Master Plan for Cambodia 2008 - 2015 Not yet planned 2006-2010
East Timor No strategy Planned 2002-2007
Georgia No strategy Planned 2003-2007
India Implementation National Strategic Statistical Plan 2007-2012 Not yet planned No PRSP
Kiribati No strategy Not yet planned No PRSP
Kyrgyzstan Implementation Statistical Master Plan for the Development of the State Statistics and Information system in the Kyrgyz Republic
2006 - 2009 Not yet planned 2003-2005
Laos Implementation National Statistic Plan 2006 - 2010 Not yet planned 2003-2008
Maldives No strategy Planned 2006 -2010
Mongolia Implementation Program of Official Statistics Development 2006 - 2010 Not yet planned 2003-2006
Myanmar No strategy Planned No PRSP
Nepal Strategy expired25 Consolidated National Statistical Plan 2003 - 2007 Not yet planned 2002-2007
Pakistan No strategy Being designed 2004-2008
Papua New Guinea
No strategy Planned 2005 - 2010
Samoa No strategy Planned No PRSP
Solomon Islands
No strategy Planned No PRSP
Sri Lanka No strategy Being designed 2002-2007
Tajikistan Implementation Multi-year integrated statistical plan26 2005 - 2009 Not yet planned 2002-2005
Tonga Strategy expired Corporate plan (for NSO) 2005 - 2007 Not yet planned No PRSP
Uzbekistan No strategy Planned Interim PRSP
(2005)
Vanuatu Implementation Vanuatu National Statistics Office Strategic Plan 2008 - 2013 Not yet planned No PRSP
Vietnam Implementation Strategic Program for Development of Statistics 2003 - 2010 Not yet planned 2006-2010
Yemen Implementation Statistical Master plan 2006 - 2010 Not yet planned 2006-2010
LATIN AMERICA AND CARIBBEAN
Bolivia Implementation Plan estratégico institucional 2005 - 2009 Planned 2008-2012 2002-2006
Dominica No strategy Planned 2006-2010
Grenada No strategy Planned Interim PRSP
(2006)
Guyana No strategy Being designed 2002-2009
ANNEX 11
83
COUNTRY EXISTING STRATEGY NEXT NSDS PRSP
Time span Status Name Time Span Status Time span
Haiti No strategy Being designed Interim PRSP
(2006)
Honduras Implementation Estrategia Nacional para el Desarrollo Estadístico de Honduras
2006 - 2010 Not yet planned 2001-2015
Nicaragua Implementation Estrategia nacional de desarrollo estadistico 2006 - 2011 Not yet planned 2006-2010
Saint Lucia No strategy Planned No PRSP
St. Vincent and the Grenadines
No strategy Planned No PRSP
EUROPE
Bosnia-Herzegovina
Implementation Multi-annual programme of the BIH statistics 2005 - 2008 Not yet planned 2004-2007
Moldova Strategy expired Statistical Capacity Master Plan 2004 - 2006 Being designed 2004-2006
Source: PARIS21 Secretariat
ANNEX 11
84
NOTES 1
Since the last update, Albania and Indonesia were removed as they are no longer IDA borrower countries. 2 Benin: The NSDS was adopted by the National Statistical Council in January 2008. The communication for the minister’s council is ready and is
expected to be approved. 3 Burkina Faso: The country has requested support for a full NSDS to cover the period 2009-2012.
4 Burundi: The NSDS is being designed and is planned to be officially adopted in October 2008.
5 Cameroon: The draft NSDS has been completed and was to be adopted by CNS by the end of August 2008.
6 CAR: The NSDS design process has stalled due to institutional problems in the NSO.
7 Comoros: The NSDS has been approved in the Ministers Council in February 2008. Funding is under discussion.
8 Congo: The implementation is waiting for the official validation of the new statistical law (planned to be adopted in Ministers Council in June 2008).
9 DRC: The NSDS design is still underway (diagnosis phase). It is planned to be adopted by the end of 2008.
10 Eritrea: “The NSO should start to prepare a comprehensive Master Plan covering all its statistical activities. Drawing on the experience gained from
the plan for economic statistics.” Mid term review. Statistics Norway. January 2007. 11
Gambia: The NSDS currently being implemented is also being revised to cover the period 2008 – 2011. 12
Guinea: The NSDS is planned to be adopted by the end of 2008. 13
Guinea-Bissau: The ENDE is planned to be adopted by the end of 2008; however, the design phase has stalled. 14
Kenya: A STATCAP was approved in March 2007. 15
Madagascar: The NSDS has been presented to the government. 16
Mali: The NSDS was approved in the Council of Ministers in January 2006. Funding is under discussion. 17
Mauritania: The NSDS has been approved by the National Statistical Council but not yet by the Government. 18
Nigeria: The Plan is at Federal level and links into NEEDS (Nigerian PRSP). Further plans for state statistical systems are under consideration. 19
Sao Tome and Principe: The ENDE is planned to be adopted by the end of 2008. 20
Senegal: The NSDS was validated in June 2007 and presented to the Consultative Group in October 2007. A roundtable for funding the NSDS is under
preparation and will take place in Dakar in the coming weeks. 21
Sierra Leone: The NSDS was approved by the Parliament on 17 April 2008. 22 Tanzania: The launch of the TSMP is planned to take place around Africa Statistics Day (18/11/2008) with PARIS21 support. 23
Togo: The NSDS is planned to be adopted by the end of 2008. 24
Zambia: The NSDS covering the entire NSS is due to be completed by October 2008 25 Nepal: Despite recent political stagnation and insurgency, the country anticipates a new era of peace. In this light it is expected that the
AsDB “RETA 6333: Statistical Capacity Building in Asia and the Pacific” project will help pave the path to a well functioning statistical system in the country. 26
Tajikistan: A STATCAP was approved in May 2006.
ANNEX 12
85
ANNEX 12
PARIS21 Secretariat – Partner Contributions, 2005-07 (USD)
Partner Project/Program Name Start
Period End Period 2005 2006 2007
2008
Planned TOTAL
Austria Contribution to PARIS21-OECD 2005 2005 248,720 248,720
Belgium OECD Contribution to PARIS21 -- statistical partnership
2005 2007 497,440 501,800 273,740 Euro 200,000
1,272,980
Canada Statistical Capacity Building with OECD -- PARIS21
2007 2007 1,037,78 1,037,978
EC/Eurostat Support to PARIS21 2008 2008 Euro 150,000
EFTA Support to PARIS21 2005 2005 99,488 99,488
Finland Support to PARIS21 2005 2006 124,360 125,450 249,810
France Support to PARIS21 2005 2005 994,880 994,880
Germany Contribution to PARIS21 2005 2006 124,360 250,900 375,260
Ireland Support to PARIS21 2005 2007 143,014 144,268 164,244 451,526
Netherlands Support to PARIS21 2005 2005 746,160 746,160
Norway Support to PARIS21 2005 2007 479,518 265,080 Euro 93,673 744,598
Spain Support to PARIS21 2009 2012 Euro 1,000,000
Sweden Support to PARIS21 2005 2005 618,191 618,191
Switzerland Contribution to PARIS21-OECD 2005 2006 120,968 119,636 240,604
UK PARIS21 Core Support 2005 2007 700,471 341,085 385,596 1,427,152
World Bank Support for NSDS processes 200507 200806 1,500,000 2,600,000 4,100,000
World Bank International Household Survey Network
200507 200806 1,200,000 1,200,000 2,400,000
World Bank Accelerated Data Program 200507 200806 2,000,000 2,000,000 4,000,000
TOTAL 4,774,307 5,932,249 8,285,178 20,991,734
Source: PARIS21 Secretariat
86
ANNEX 13
References for Supporting Documentation
DOCUMENTS
Light Reporting Exercise report : http://www.paris21.org/documents/2293.pdf and
http://www.paris21.org/documents/2294.pdf
Study on Creditor Reporting System : http://www.paris21.org/documents/2951.pdf
International Finance Statistics, IMF (for exchange rates)
World Development Indicators 2008, World Bank
Mainstreaming Sectoral Statistics Systems in Africa : A Guide to Planning a Coordinated National
Statistical System, African Development Bank, PARIS21, November 2007.
WEBSITES
Accelerated Data Program (ADP) : http://wwwsurveynetwork.org/adp
Agriculture censuses : www.fao.org
Core Welfare Indicators Questionnaire-CWIQ : http://www4.worldbank.org/afr/stat/cwiq.cfm
Demographic and Health Surveys (DHS) : www.measuredhs.com
DevInfo (UNICEF) : http://www.devinfo.org
General Data Dissemination System (GDDS) :
http://dsbb.imf.org/Applications/web/getpage/?pagename=gddshome
Household surveys : www.worldbank.org/lsms
International Household Survey Network : http://www.surveynetwork.org/home
Multiple Cluster Indicators Survey (MICS) : www.childinfo.org/mics3
Population censuses: http://unstats.un.org/unsd/demographic/sources/census
Support to Poverty Assessment and Reduction in the Caribbean (SPARC) :
http://www.bb.undp.org/index.php?page=sparc
World Bank Country Statistical Information Database:
http://www.worldbank.org/data/countrydata/csid.html
PARIS21 - OECD/DCD2 rue André Pascal - 75775 Paris Cedex 16
Contact @paris21.orgTel: +33 1 45 24 90 51 - Fax: +33 1 45 24 94 06
www.paris21.org
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