World Bank’s Support to Statistical Development Worldwide

1. World Bank’s Support to Statistical Development Worldwide Development Data Group, World Bank January 17, 2007

2. The World Bank and official statistics • A major user • A compiler • World Development Indicators • Global Development Finance • other databases • A manager of global data programs • International Comparison Program (ICP) • Living Standards Measurement Study (LSMS) surveys, etc. • A funding agency of development programs to improve statistical capacity • Technical assistance (TA) • Investment operations • Partnership

3. World Bank’s role in statistical data standard setting and coordination • Standard setting • Poverty data, external debt statistics, new emerging development indicators such as governance • Cross-country data analysis (e.g. GNI/capita) • Data exchange & dissemination, working with IMF on GDDS, with the UN MDG group on data publications, SDMX, etc. • Improving PPP data collected through the ICP • Household survey methods (LSMS, CWIQ) and data collection tools • Coordination • Extensive coordination on data compilation and dissemination (MDG work, many interagency coordination efforts, UN CCSA) • A wide-ranging partnership on statistical capacity building work

4. Increasing demand for better data – a key driver for a larger role in statistics • Focus on results in countries • Poverty reduction strategies • IDA 14 results measurement • Need for accountability • Global monitoring • Millennium Development Goals • Debt monitoring • International comparisons

5. National data are needed to meet these demands Availability of estimates for 25 survey-based MDG indicators (2000-2004) Sub-Saharan Africa 60% obtained from national sources 10% 30% Estimated by agencies Missing Latin American Countries 83% obtained from national sources 10% 7%

6. A vicious or a virtuous cycle? Low demand Stronger demand Low resources More resources Poor output Better output • Stronger demand • PRSPs, MDGs, results-based management • Better output • National Strategies for Statistical Development • More resources • Grants, loan/credits, budget (PRSC/PRGF)

7. The need for change at national level • In many developing countries … • Information that is needed is not readily available • Data that are collected are not fully analyzed or used • Data users have limited confidence in the quality and integrity of official statistics • Resources are scarce and not used effectively

8. The need for change at international level • International community needs to… • Join efforts to harmonize standards • Strengthen partnership to better coordinate statistical advocacy and promotion • Mobilize additional funding to improve statistical capacity

9. A partnership framework for improving development statistics • The Marrakech Action Plan for Statistics (MAPS) • Agreed at the Second Roundtable for Managing for Development Results, February 2004 • Aims to improve the capacity to produce and use data for development • Key objective is to meet the data challenge of MDGs by 2010 • Builds on what has been achieved, has a timetable, and estimated costs • Key event: Third Roundtable on results in Hanoi, February 2007

10. The six actions of MAPS • National level • Mainstream strategic planning • Prepare for 2010 census round • Increase financing for statistical capacity improvement • International level • Set up the International Household Survey Network • Improve MDG monitoring • Improve international accountability

11. Tools for monitoring and assessing statistical capacity • PARIS21 Light Reporting System • UN ECE/EUROSTAT monitoring projects for Balkan and CIS countries • UN ESCAP Statistical Indicator for Asia and the Pacific • World Bank • Country statistical information database • World Bank statistical projects database • Statistical capacity score

12. How do Western Balkan countries stack up?

13. … on average, Western Balkan countries fared better, …

14. … Overall there have been major improvements

15. Support for MAPS: national capacity • Mainstreaming strategic planning • World Bank grant to PARIS21 for NSDS advocacy and development and dissemination of guidelines • TFSCB and other grants to countries for NSDS preparation • 2010 Population Census Preparation • World Bank grant for UNSD to support 2010 Census preparations • Scaling up finance for countries to implement NSDSs • Budgeted resources • Trust Fund for Statistical Capacity Building (TFSCB) • Lending programs (STATCAP) • Other grants (e.g. from other donors)

16. Trust Fund for Statistical Capacity Building (TFSCB) • A multi-donor trust fund ($24m to date) • Complementary to PARIS21 • Donors – UK, Netherlands, Germany, Switzerland, France, Canada (possible) • Funded 98 statistical development projects worth US$20 million • 46 countries received support for preparation of a NSDS • NSDS is key to scaling-up investment in national statistical capacity

17. A special lending program (STATCAP) • Makes it easier for countries to invest in upgrading statistical capacity • Preparation of NSDS/SMP is the first step for project appraisal • The first group of beneficiary countries: Burkina Faso, Ukraine, Kenya, Tajikistan • Work underway for Argentina, Bangladesh, Bolivia, India, Kyrgyz, Mongolia, Russia, Sri Lanka, Uganda

18. Support for MAPS: international partnership • International Household Survey Network • Supported through PARIS21 • Improving key data • A new “Accelerated Data Program”, supported through PARIS21 • World Bank grants for UIS (education statistics), UN-Habitat (urban indicators), ILO (gender statistics)

19. International Household Survey Network (IHSN) • Objectives • Better access to and use of data by planners, researchers • Coordination for better planning, harmonization of concepts, methods • Progress • All major survey sponsors are members • Central survey repository: improving access • Data dissemination toolkit: helping countries document surveys • PARIS21: new “Satellite” program

20. IHSN: Survey and Census Catalog 2,578 surveys/censuses listed Promotes secured, controlled access to available data and metadata

21. IHSN: Microdata Dissemination Toolkit On-line analysis Survey documentation CD-ROMs, DVDs XML metadata Websites

22. Pilot Accelerated Data Program (12 countries over 3 years) • Taking stock • Inventory, documentation, dissemination of existing data (accessible, “ready for use”) • Using and assessing existing data • Analysis (key PRSP/other issues) • Quality assessment (reliability, relevance) • Collecting data • Design medium-term survey programs (NSDS) • Support data collection activities, building on national survey programs (no imposed model)