contents challenges for statistics ii. opportunities for statistics rrsf & nsds

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Contents

I. Challenges for statistics

II. Opportunities for Statistics

III. RRSF & NSDS

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I. Challenges for statistics

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IV“Virtuous

Circle countries”

Low Demand

High Demand

Good Quality

II“Data

Supply-constrained countries”

I“Vicious Circle

countries”

III“Data

Demand-constrained countries”

Poor Quality

Many countries caught in “vicious cycle” of statistical under- development and under-performance

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Old and new Challenges and Issues

OOlldd cchhaalllleennggeess NNeeww cchhaalllleennggeess aanndd IIssssuueess Centralized governance Decentralized governance Limited data users – Govt. Multiplicity of data users NSO and line Ministries often only source of data and information

New actors who need coordination and backstopping

Limited demand for gender statistics

High demand for gender statistics

Demand for global statistics (national and regional levels) for top-down planning

High demand for disaggregated data (district, gender, household/ community level, etc.) for bottom-up planning, interventions, etc.

Provision of general statistics

Provision of statistics to monitor development indicators (poverty, governance, HIV/AIDS, etc)

Government controls Private sector development Limited use of information technology (IT)

Extensive use of IT

Limited information sharing Need for increased networking and information sharing (databases and connectivity)

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Example: Demand for data on poverty

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• Planners• Policy makers• Decision-makers• Managers• Others (NGOs, donors, etc)

Profile of the poor who are the poor? where are they? how many are they? what is severity of poverty?

Causes of poverty factors that cause poverty relations among the factors

Which policy, strategy or decision? alternatives

Changes in levels/depth of poverty (track progress - monitoring) Are policies/actions having effect? (impact)

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II. Opportunities for

statistics

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1. Addis Ababa Plan of Action for Statistical Development in the 1990s (AAPA)

Statistical decline in Africa in 1970s and 1980s AAPA endorsed by African Ministers responsible for Planning in 1992 Objectives

reverse decline in statistical production lay a firmer basis for development of statistics in Africa

Recommended actions include “African Statistics Day” celebrations, 18 Nov. strategic planning, now NSDS

Inspired establishment of PARIS21

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3. Managing for development results or results agenda

Has evolved (since 2002) as a global effort among both national governments and development agencies to: reduce poverty (headline MDG goal) support sustainable and equitable economic growth better define and systematically measure development outcomes report on achievements of outcomes and impact of polices and programmes

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4. Marrakech Action Plan for Statistics (MAPS)

Endorsed at 2nd Roundtable on Managing for Results (2004)

Objective: “to improve national and international statistics

to meet the measurement challenges without which

baselines cannot be established and progress cannot be

measured”

6 action points

Mainstream strategic planning of statistical systems

(National Strategy for the Development of Statistics –

NSDS)

Prepare for the 2010 population census round

Increase investment in statistics, etc.

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III. RRSF

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Why a New Framework?

• New development frameworks (PRSP’s,

National development plans, NEPAD, MDG’s,

etc.) created new data demand

• Countries’ strong commitments towards

managing for development results

• Strong need for a statistical renaissance

Statistical needs

• Addis Ababa Plan of Action for Statistical

Development in Africa in 1990s (AAPA) did

not succeed in improving the Statistical

Systems in Africa (1990s lost decade)

Learned lessons

from AAPA

• Meet data challenges of the results agenda

by 2015Target

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Reference Regional Strategic Framework for Statistical Capacity Building in Africa (RRSF)

• Developed & endorsed in 2006 by DGs of NSOs & development partners

• Endorsed in 2007 by the Conference of African Ministers of Finance, Planning and Economic and Development

Reference

Regional

Strategic

Framework

for

Statistical

Capacity

Building

(RRSF)

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Objectives of the RRSF (2006)

Overall Objective

To contribute to improved development outcomes and good governance by strengthening national statistical systems in Africa.

Specific Objectives

Raising Societal Awareness of the Role of Statistical Information

Increasing User Satisfaction by Enhancing the Quality and Usability of Statistical Information

Promoting Greater Use of Statistical Information

Achieving Synergy, Cost-Effectiveness, and Sustainability in National Statistical Systems

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• The overall strategy to achieve this objective is for countries to develop an National Strategy for the Development of Statistics (NSDS) based on the principles developed by PARIS21 and partners.

Overall strategy

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Some outcomes

improved statistical advocacy at all levels

( e.g. statistical autonomy, improved

infrastructure for statistics at country level,

African Charter on Statistics) stronger statistical functions at AfDB, UNECA, AU greater coordination, collaboration &

partnerships (coordination structures at country

level, at continental level unprecedented

partnerships between AU, AfDB & UNECA) design and implementation of NSDS in many

countries (improved capacity, better data, etc)

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RRSF Implementation: 3 Levels

Through National Strategy for the Development of Statistics (NSDS)

National Level

Regional Level

Undertake “peer review” of country

national statistical systems

Continental Level

AfDB & UNECA: leadership and co-

ordination AU: strong advocacy role

- African Charter on Statistics

- SHaSA

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Statistical principles and frameworks

International

National

Continental

/Sub (EAC)-

un

African Charter on Statistics

MAPS

RRSF

( SHaSA )

NSDS

UN

Fundamental Principles of O

fficial Statistics

International

National

Continental

REC (EAC)

un

Afric

an C

hart

er o

n St

atisti

cs

MAPS (BUSAN)

RRSF(SHaSA)

Dev. Plan

NSDS

UN

Fundamental Principles of O

fficial Statistics

Regional Stat.

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Thank YouThank You