1. Mainstreaming statistics and sectors
REGIONAL WORKSHOP FOR THE
SOUTHERN AFRICAN DEVELOPMENT COMMUNITY
Mainstreaming statistics and sectors by
Prof. Ben Kiregyera
AfDB Senior Consultant
14 October, 2013

2. Scope National Strategy for the Development of Statistics (NSDS)
Mainstreaming statistics
Mainstreaming sectors in NSDS

3. New benchmark in Statistical Planning
1. The National Strategy for the
Development of Statistics (NSDS)
New benchmark in Statistical Planning
(Conceptualized in 2004)

4. What is NSDS? National strategy and action plan
Framework to strengthen statistical capacity across the entire National Statistical System
(next slide)
A medium-term framework for responding to key user needs
A robust, comprehensive and coherent framework to:
address statistical challenges
mobilize & prioritise the use of
resources
integrate statistics within national
policy & planning processes
introduce & manage change (no
longer business as usual)
National strategy and action plan
A catalyst for change & building confidence through ownership 4 4

5. Statistical value chain5 5

6. National Development Plan National Development Plan
2. Integrate (mainstreaming) statistics within national policy & planning processes
What is being done
Mainstreaming
National Development Plan
National Development Plan
Statistics
Statistics

7. 3. Mainstreaming sectors in NSDS

8. Why mainstream sectors into the NSDS?
a lot of development data are collected/compiled by
sectors (Agriculture, Health, Education, Labour, etc.)
(next slide)
sectoral issues and concerns not been given sufficient
attention in national statistics
statisticians from line ministries been largely isolated &
inadequately involved in discussion on capacity
building
sectoral component of NSS tends to be under-
resourced & is in need of more voice in sectors and in
NSS

9. Monitoring Development
Level
Type of data
Main Sources
Inputs
- resources
Administrative
Administrative records
Process outputs
- procedures
Program Outputs
- e.g. number of
clinics built
Intermediate Outcome
- better access to
health services
Administrative/
surveys/
censuses
Administrative records/ KNBS
Final Outcome (Impact)
- improved health &
welfare (e.g. life expectancy)
Surveys/
KNBS
Challenges: improve and coordinate /combine data from different sources 9

10. Bottom-up (sectoral) approach to NSDS SPS - Sector Plan for Statistics
(Agric)
SPS
(Health)
SPS
(NSO)
SPS
(Edn. )
SPS - Sector Plan for Statistics
started in Uganda in 2006
since become to be regarded as “best practice”
AfDB & PARIS21 Guide on mainstreaming sectors 10

11. Resulting NSDS will: include a synthesis of Sector Statistics Plans
buy-in by sectors
ownership – one of prerequisites for effective
plan implementation
Cross-cutting & emerging issues
“People support what they help to create”
promote policies that lead to greater harmonization across sectors
lead to truly integrated National Statistical System

12. Partially coordinated National Statistical System
Agriculture
etc
Health
NSO
Transport
Labour
Education

13. Fully coordinated National Statistical System
Agriculture
etc
Health SB
Transport
Labour
Education

14. Assessment of state of sectoral data
Using Health Matrix Network Framework
Components
Scope
Resources
Policies; Financial resources; Human resources; Communication; Coordination and leadership
Indicators
Minimum set of indicators & targets
Data sources
Types of data sources and standards
Data management
Data definition; flow; quality; storage; linkage
Information products
Users requirements; analysis; presentation
Dissemination
and use
Infrastructure; synthesis; packaging; communication

15. Opportunities to coordinate
Component
Opportunities to coordinate
Agriculture
Education
Labour
Health
etc
Resources
Harmonize policies and budgets
Coordinate training/allocation of human resources
Build “communities of practice”
Rationalize the use of information technology
Indicators
Identify and standardize common indicators
Data sources
Synchronize surveys and routine data collection
Data management
Link data dictionaries and warehouses
Build consistent data quality
Coordinate data transmission
Information products
Analyze and present data across sectors
Synchronize reports for the same users
Dissemination
and use
Advocate with one voice
Coordinate evaluation across sectors

16. Example of power of mainstreaming
NSDS in Uganda
Covers 22 sectors, 10 local governments
Before NSDS After NSDS
Police Department
04 Statisticians Statisticians
Ministry of Agriculture, Forestry & Fisheries
02 Statisticians statisticians

17. Thank You