PARIS21Partnership in Statistics for
Development in the 21st Century
Country Studies
2
Where are the bottlenecks?
Specify needs Design Build
Collect Process Analyse
Disseminate Archive Evaluate
3
Specify needs
Specify needs Design Build
Collect Process Analyse
Disseminate Archive Evaluate
14
3
New data processes in response to the need of users
YesNoNo Answer
How
?
- User surveys- Stakeholder consultations- Downloads tracking- Requests through government agencies
4
Design
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How
?
Fully
implemented
Partially
implem
ented
Implemen
tation pla...
Not implemen
ted
Do not know
No Answer
0
5
10
15
20Implementation of Standards
Agricultural Census Labor Force Survey Population Census DHS MICS
Income Expenditure Survey or similar
- Nationally adapted GSBPM- Committees and working groups along the statistical production line- Survey reviews and clearing systems
5
Build
Specify needs Design Build
Collect Process Analyse
Disseminate Archive Evaluate
5
4
6
1 1
Effective processes for request management
Fully implementedPartially implementedImplementation plannedNot implementedNo Answer
6
Collect
Specify needs Design Build
Collect Process Analyse
Disseminate Archive Evaluate
Less than 10 years
10 years More than 10 years
Irregular Do not know No Answer0
5
10
15Frequency of data collection
Agricultural Census Labor Force Survey Population Census DHS MICS
Income Expenditure Survey or similar
Government Entities
International Organizations
Bilateral Donors
Private Business
Others Do not know No Answer0
5
10
15Main financier
Agricultural Census Labor Force Survey Population Census DHS MICSIncome Expenditure Survey or similar
7
Process
Specify needs Design Build
Collect Process Analyse
Disseminate Archive Evaluate
How
?
13
3
Data quality is monitored at all stages
YesNoNo Answer
- Quality control tables- 4-eyes principle- Double entry- Pilot testing
8
Analyse
Specify needs Design Build
Collect Process Analyse
Disseminate Archive Evaluate
14
3
Adequate access to computer facilities
Yes NoNo Answer 11
6
Adequate physical in-frastructure
0-20% 20-40% 40-60% 60-80% 80-100% No Answer0
5
10Budget covered by Government
Recurrent Costs Development Budget
9
Disseminate
Specify needs Design Build
Collect Process Analyse
Disseminate Archive Evaluate
10
Disseminate
Specify needs Design Build
Collect Process Analyse
Disseminate Archive Evaluate
11
Disseminate
Specify needs Design Build
Collect Process Analyse
Disseminate Archive Evaluate
12
Disseminate
Specify needs Design Build
Collect Process Analyse
Disseminate Archive Evaluate
14
Archive
Specify needs Design Build
Collect Process Analyse
Disseminate Archive Evaluate
104
11 1
Archived (meta-)data follow international standards
Strongly agreeAgree to some extentNeither agree nor disagreeDisagree to some extentStrongly disagree
0-20% 20-40% 40-60% 60-80% 80-100% No Answer01234567
Data accessible via a national data archive
15
Evaluate
Specify needs Design Build
Collect Process Analyse
Disseminate Archive Evaluate
How
?
5
5
3
4
Periodic evaluation of data processes
Fully implementedPartially implementedImplementation plannedNot implemented
- Regular internal and external audit- Review clearance system- Post-verification
16
Main bottlenecks found so far
• Effective request management• Sufficient domestic funding• Standardized dissemination• Periodic process evaluation
17
Where do you see areas for action?
Coordinating the national statistical
system
Managing relation-ships with data users
and data providers
Managing statistical standards
Top 3: Priorities for improving the quality of statistics
18
Where do you see areas for action?
Update/new statistics law
Provide formal process or structure for coordinating
the NSS
Guidelines or protocols for the exchange of data
Establishing a formal cadre of statistics staff
Processes to ensure use of agreed standards and
classifications
Top 3: Priorities for improving the coordination of the NSS
19
Where do you see areas for action?
Registers and sampling frames
for establishments and businesses
Household survey sampling frames
Database structures
Geographic Infor-mation Systems
Data warehousing
Top 3: New investments in statistical infrastructure
20
Where do you see areas for action?
Access and dissemination policies
(Meta-)data documen-tation
Data digitalization
IT infra-structure
Data set preparation
Access interfaceUser support
Top 3: Priorities for improving accessibility to statistics