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

4

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

5

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.

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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

16

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).

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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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30

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

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