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
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
( )
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 International 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
PARIS21 Light Reporting System  An inventory of donor support activities for statistical capacity building in Africa.

12. How do Western Balkan countries stack up?
Statistical capacity score is measured in three dimensions  a weighted average of three elements.
Statistical practice  a country’s ability to adhere to internationally recommended standards and methods.
Data collection  whether a country conducts data collection activities in line with internationally recommended periodicity, and whether data from administrative systems are available and reliable for statistical estimation purposes.
Indicator availability  availability and periodicity of key socioeconomic indicators, of which eight are MDG indicators.

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)