the role of statistics in evidence-based policy making
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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
devinfo.org
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