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REGIONAL WORKSHOP FOR THE SOUTHERN AFRICAN DEVELOPMENT COMMUNITY. Mainstreaming statistics and sectors by Prof. Ben Kiregyera AfDB Senior Consultant 14 October, 2013. Scope National Strategy for the Development of Statistics (NSDS) Mainstreaming statistics - PowerPoint PPT Presentation
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REGIONAL WORKSHOP FOR THE SOUTHERN AFRICAN DEVELOPMENT
COMMUNITY
Mainstreaming statistics and sectors
by
Prof. Ben KiregyeraAfDB Senior Consultant
14 October, 2013
22
Scope
1. National Strategy for the Development of
Statistics (NSDS)
2.Mainstreaming statistics
3.Mainstreaming sectors in NSDS
33
1.1. The National Strategy The National Strategy for thefor the Development of Statistics Development of Statistics (NSDS)(NSDS)New benchmark in Statistical Planning
(Conceptualized in 2004)
444444
• 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
What is NSDS?What is NSDS?
555555
Statistical value chain
66
2. Integrate (mainstreaming) statistics within national policy & planning processes
National Development
Plan
Statistics
National Development
Plan
Statistics
What is being done Mainstreaming
77
3. Mainstreaming
sectors in NSDS
88
• 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
Why mainstream sectors into Why mainstream sectors into the NSDS?the NSDS?
9999
Monitoring Development Level Type of data Main Sources
Inputs - resources
Administrative Administrative records
Process outputs - procedures
Administrative Administrative records
Program Outputs - e.g. number of clinics built
Administrative Administrative records
Intermediate Outcome
- better access to health services
Administrative/
surveys/
censuses
Administrative records/ KNBS
Final Outcome (Impact)
- improved health &
welfare (e.g. life expectancy)
Surveys/
censuses
KNBS
Challenges: improve and coordinate /combine data from different sources
10101010
Bottom-up (sectoral) approach to NSDSBottom-up (sectoral) approach to NSDS
NSDS
SPS(Health)
SPS(NSO)
SPS(Edn. )
SPS(Agric)
SPS - Sector Plan for Statistics
started in Uganda in 2006 since become to be regarded as “best practice” AfDB & PARIS21 Guide on mainstreaming sectors
1111
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
Resulting NSDS will:
1212
Labour
Education
Transport
etc
Agriculture
Health
NSO
Partially coordinated National Statistical System
1313
Fully coordinated National Statistical System
Labour
Education
Transport
etc
Agriculture
Health
SB
Using Health Matrix Network Framework
Components Scope
ResourcesPolicies; 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 useInfrastructure; synthesis; packaging; communication
Assessment of state of sectoral data
1414
ComponentOpportunities 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 sectors1515
1616
Example of power of Example of power of mainstreamingmainstreaming
NSDS in Uganda
Covers 22 sectors, 10 local governments
Before NSDS After NSDS
Police Department
04 Statisticians 22 Statisticians
Ministry of Agriculture, Forestry & Fisheries
02 Statisticians 18 statisticians
1717
Thank YouThank You