African Centre for Statistics United Nations Economic Commission for Africa United Nations Economic Commission for Africa Reference Regional Framework for Statistical Reference Regional Framework for Statistical Capacity Building in Africa (RRSF) Capacity Building in Africa (RRSF) Ben Kiregyera Ben Kiregyera Director Director African Centre for Statistics African Centre for Statistics 19 October, 2007 19 October, 2007
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Reference Regional Framework for Statistical Capacity Building in Africa (RRSF)
Reference Regional Framework for Statistical Capacity Building in Africa (RRSF). Ben Kiregyera Director African Centre for Statistics 19 October, 2007. Motivation. Issues which have come up during this workshop: organizational issues (including legal framework, - PowerPoint PPT Presentation
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African Centre for Statistics
United Nations Economic Commission for AfricaUnited Nations Economic Commission for Africa
Reference Regional Framework for Statistical Reference Regional Framework for Statistical
Capacity Building in Africa (RRSF) Capacity Building in Africa (RRSF)
Ben KiregyeraBen KiregyeraDirectorDirector
African Centre for StatisticsAfrican Centre for Statistics
data-related issues (data sources, data collection
methodologies, data management including
dissemination)
Many of these issues are best handled as part of broaderFrameworks and initiatives
ScopeScope
Introduction
What is RRSF?
National Strategy for the Development of
Statistics (NSDS)
Capacity Building strategies
Critical success factorsSlide 3
Slide 4
Introduction Introduction Addis Ababa Plan of Action for Statistical Development in Africa in the 1990s (AAPA)
• Precipitous decline in statistical production in 70s & 80s
• Factors constraining statistical production identified as: poor management inadequate funding lack of timeliness in delivery of statistics unsatisfactory quality of produced data inability to respond quickly to new data needs
• AAPA adopted by the African Ministers for Planning and Development in 1990 to:
reverse decline in statistical production lay a basis for development of statistics in Africa
Twin problem of data Twin problem of data demand and supply demand and supply
Slide 6
Characteristics of statistical under-development
Inadequate statistical awareness/literacy
inadequate links of statistical systems to policy
inadequate coordination (next slide)
weaknesses in statistical capacity
limited capacity in management and strategic leadership data gaps on some key demographic,
socio-economic and environmental indicators unreliability of some existing data inadequate use of existing data – challenge of
data use unsustainability of statistical systems
Slide 7
Labour
Education
Transport
etc
Agriculture
Health
NSO
Uncoordinated National Statistical System
Slide 8
Labour
Education
Transport
etc
Agriculture
Health
NSO
Partially coordinated National Statistical System
Slide 9
Fully coordinated National Statistical System
Labour
Education
Transport
etc
Agriculture
Health
NSO
Slide 10
Challenges Opportunities
demand for good statistics increased exponentially since countries signed up to managing for results
Managing for results has evolved as a global effort
among both national governments and development
agencies to:
reduce poverty support sustainable and equitable economic growth better define and measure development outcomes
Slide 11
Opportunities
Increasing demand – results agenda is “data intensive” Raising the public profile of statistics Building statistical capacity in medium to longer term International cooperation and partnerships for statistics
PARIS21WB Trust Fund for Statistical Capacity BuildingMulti – and bilateral donors
New emphasis on statistics by the African Development Bank
Renaissance of statistics function at UN ECA with establishment of the African Centre for Statistics
Slide 12
Management for results given impetus by a number of roundtables among them, the Marrakech Roundtable meeting on managing for result, Morocco (2004)
Better statistics identified as a priority of the results agenda and Marrakech roundtable came up with a global plan for statistics, commonly called the Marrakech Action Plan for Statistics (MAPS) to improve national & international statistics
Reference Regional Strategic Framework for Statistical Capacity Building in Africa (RRSF) is a regional variant of the MAPS
Slide 13
Overall objective
The overall objective of the RRSF is to contribute to policy-
making, development outcomes and good governance in
Africa by guiding and accelerating sustainable statistical
capacity building activities.
Specific objectives Raise societal awareness about role and importance of data to
national development (statistical advocacy) Enhance data quality and usability Promote greater use of data Build sustainable statistical capacity
What is RRSF?What is RRSF?
Slide 14
The process
assessment missions to more than 20 countries & 40 sub-regional, regional and international & bilateral development partners