2. Good Practices for Financing Statistical Development
Moizza B Sarwar, Emma Samman and Romilly Greenhill
Growth, Poverty and Inequality Programme
Overseas Development Institute (ODI)

3. Background
SDGs draw into relief the persistent underfunding of national statistical systems
Projected total shortfall of between $2.8 and $3.0 billion in funding to meet statistical need for SDGs
Financing practices do not exist in a silo
What are some successful mechanisms by which countries have been able to meet their statistical needs?

4. Exploratory ongoing study
Three countries: Rwanda, Philippines, Ethiopia
National statistical development plans (NSDPs)
Key informant interviews from main ministries
National development plans
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5. Main findings
High-level political interest in developing statistical systems
Demand in all three countries emerged from both national and international priorities.
Donors have been well-aligned behind government strategies in the three countries.
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6. Main findings (cont’d)
Legal frameworks that created trust in and directed resources towards statistics
The alignment of NSDS with country development plans has ensured that demand for data, finances for data and the importance of national statistical offices are reaffirmed periodically
International coordination and dialogue mechanisms
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7. Hypotheses for further research
National Statistical Development Strategies (NSDS) are only successful in the context of strong national ownership
Donor support emerges in response to country demand for assistance in statistics or countries invest effort in developing statistical strategies because of public awareness of donor priorities of data collection and analysis.
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8. PARIS21 Cross-regional forum 2017
OECD
Paris, France