The role of statistics in

evidence-based policy making

Marco Segone, Regional Chief, Monitoring and Evaluation, UNICEF CEE/CIS; Former Vice-President of IOCE

Nicolas Pron, Chief, Data Dissemination, UNICEF NYHQ; DevInfo Global Administrator

Based on UNICEF publication in partnership with World Bank, IDEAS, DevInfo and MICS

Authors: 20 senior officers from national Governments, local municipalities, UNICEF, WB, IDEAS, DevInfo

What is Evidence-based Policy making?

An approach that helps people make well informed decisions about policies, programmes and projects by putting the best available evidence at the heart of policy development and implementation.

Putting the best available evidence at the heart of policy making?

Single Survey

Expert

Practice of Political Life

Judgement Experience ResourcesLobby system ► Think-tank ► Opinion leaders ► Media ► Civil Society

Tec

hn

ical

Cap

acit

y

Policy Environment

Evidence-influenced

Opinion-based

Evidence-based

Evidence-influenced

Evidence into practice: Increasing the uptake of evidence in policy

making

Data ProvidersData Providers(Statisticians)(Statisticians)

Data UsersData Users(Policy Makers, (Policy Makers,

Civil society)Civil society)Need to improve dialogue

Improving “usability”(Relevance,

time and simplicity)

ReliableData

Incentives to use evidence

?????

What ?Why?

When?

How?

Effective access

The “quality” challenge: How to match technical rigour and policy

relevance?

Technical rigourTechnical rigourbut no policy relevancebut no policy relevance

Policy relevance Policy relevance but no technical rigourbut no technical rigour

Evidence that is technically rigorous and policy relevant.

ChildInfo 1995 - 2003

UNICEF developed a database to monitor the World Summit for Children offered to the UN system

DevInfo v4.0 2004

ChildInfo upgraded and launched with UNDG endorsement in April 2004

UN EndorsementEndorsed by the United Nations to assist Member States in Monitoring human development

DevInfo v5.0 2005-2007

New web-enabled version developed and launched with broad government and UN support in May 2006

92+ national adaptations Partnerships with national statistics organizations and UN agencies

What is the trend in under-five mortality?

Where should education policy be targeted?

Percent

65.9 - 85.986.0 - 95.996.0 -104.0

Missing dataSource: TransMONEE 2004 (Except Turkey of which data source is UNESCO)

Note: The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations.

DevInfo At WorkDatabase System for Monitoring Human Development

Net enrolment ratio in basic education in CEE/CIS

2001-2002

Samtskhe Djavakheti

Imereti

The Adjara Autonomous Republic

Guria

The Abkhazia Autonomous Republic

Samegrelo-Zemo SvanetiRacha-Lechkhumi and Kvemo Svaneti

Kvemo Kartli

Shida Kartli

Tbilisi

Mtskheta Mtianeti

Kakheti

Percent

72 - 8586 - 9596 - 113

Missing data

Note: The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations.

DevInfo At WorkDatabase System for Monitoring Human Development

Net enrolment ratio in basic education in CEE/CIS

2001-2002

Source: TransMONEE 2004 (Except Turkey of which data source is UNESCO)

Kharagauli

Khobi

ChokhatauriOzurgeti

KedaKhelvachauri

Kobuleti

Shuakhevi

LanchkhutiPoti

Abasha

Senaki

AdigeniKhulo

Aspindza

Akhaltsikhe

Tskaltubo

Vani

Samtredia

Baghdati

Zestaphoni

Zugdidi

Guliripshi

Ochamchire

Gali

Gagra

SokhumiGudauta

Chkhorotsku

Khoni

Martvili

Terdjola

Tkibuli

Ambrolauri

Tsalenjikha

Mestia

Tsageri

Lentekhi

Tbilisi

BolnisiAkhalkalaki

Ninotsminda

Dmanisi

Borjomi

Tetri TskaroTsalka

MarneuliDedoplistskaro

SagarejoGardabani

Rustavi

Gurjaani

Akhalgori

Khashuri

GoriKareli

Kaspi

SachkhereChiatura

Oni

Java

Kazbegi

Mtskheta

Tianeti

Dusheti

KvareliTelavi

Akhmeta

Lagodekhi

Sighnaghi

Percent

72 - 8586 - 9596 - 113

Missing data

Note: The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations.

Net enrolment ratio in basic education in CEE/CIS

2001-2002

DevInfo At WorkDatabase System for Monitoring Human Development

Source: TransMONEE 2004 (Except Turkey of which data source is UNESCO)

Where should early child care programmes

be targeted?

Dodoma

Arusha Kilimanjaro

Tanga

Morogoro

Pwani

Dar Es Salaam

Lindi

MtwaraRuvuma

IringaMbeya

Singida

Tabora

Rukwa

Kigoma

Shinyanga

Kagera

Mwanza

Mara

Northern RegionSouthern RegionWestern Region

Northern PembaPemba

Births attended by trained personnel

TANZANIAEarly Child Care Composite Index

Per cent

LowMediumHighVery highNo data

Dodoma

Arusha Kilimanjaro

Tanga

Morogoro

Pwani

Dar Es Salaam

Lindi

MtwaraRuvuma

IringaMbeya

Singida

Tabora

Rukwa

Kigoma

Shinyanga

Kagera

Mwanza

Mara

Northern RegionSouthern RegionWestern Region

Northern PembaPemba

Births attended by trained personnel

Low birth weight

Per cent

LowMediumHighVery highNo data

TANZANIAEarly Child Care Composite Index

Dodoma

Arusha Kilimanjaro

Tanga

Morogoro

Pwani

Dar Es Salaam

Lindi

MtwaraRuvuma

IringaMbeya

Singida

Tabora

Rukwa

Kigoma

Shinyanga

Kagera

Mwanza

Mara

Northern RegionSouthern RegionWestern Region

Northern PembaPemba

Births attended by trained personnel

Low birth weight

Underweight Per cent

LowMediumHighVery highNo data

TANZANIAEarly Child Care Composite Index

Dodoma

Arusha Kilimanjaro

Tanga

Morogoro

Pwani

Dar Es Salaam

Lindi

MtwaraRuvuma

IringaMbeya

Singida

Tabora

Rukwa

Kigoma

Shinyanga

Kagera

Mwanza

Mara

Northern RegionSouthern RegionWestern Region

Northern PembaPemba

Births attended by trained personnel

Low birth weight

Underweight

Diarrhoea cases

Per cent

LowMediumHighVery highNo data

TANZANIAEarly Child Care Composite Index

Births attended by trained personnel

Low birth weight

Underweight

Diarrhoea cases

DPT immunization

Dodoma

Arusha Kilimanjaro

Tanga

Morogoro

Pwani

Dar Es Salaam

Lindi

MtwaraRuvuma

IringaMbeya

Singida

Tabora

Rukwa

Kigoma

Shinyanga

Kagera

Mwanza

Mara

Northern RegionSouthern RegionWestern Region

Northern PembaPemba

Per cent

Very lowLowMediumHighNo data

TANZANIAEarly Child Care Composite Index

Dodoma

Arusha Kilimanjaro

Tanga

Morogoro

Pwani

Dar Es Salaam

Lindi

MtwaraRuvuma

IringaMbeya

Singida

Tabora

Rukwa

Kigoma

Shinyanga

Kagera

Mwanza

Mara

Northern RegionSouthern RegionWestern Region

Northern PembaPemba

Index

Very lowLowMediumHighNo data

TANZANIAEarly Child Care Composite Index

How can census data be used for rapid response in

emergency situations?

ZAMBIABuffer zone radius = 200 km

2,519,000 people

Where is development aid spent?

Comparison of UNDP expenditures by MDGs, 2006

8

02

0 0 0

20

0

19

51

54

0 0 0 0

14

4

0 1

27

60

0 0 0 0

9

1 0 0

30

0

10

20

30

40

50

60

MDG1 MDG2 MDG3 MDG4 MDG5 MDG6 MDG7 MDG8 MDGplanning and

reporting

MDG0

%

Albania

Vietnam

Ukraine

ALBANIAUNDP expenditures by MDG

2006

MDG0

MDG planning and reporting

MDG8

MDG7MDG2

MDG3

MDG1

MDG4 MDG5MDG6

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