Mainstreaming statistics and sectors

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Presentation transcript:

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

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

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

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

Statistical value chain 5 5

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

3. Mainstreaming sectors in NSDS

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

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

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

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

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

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

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

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

Example of power of mainstreaming 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

Thank You