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

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?

Exploratory ongoing study Three countries: Rwanda, Philippines, Ethiopia National statistical development plans (NSDPs) Key informant interviews from main ministries National development plans #hashtag

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. #hashtag

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 #hashtag

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. #hashtag

PARIS21 Cross-regional forum 2017 OECD Paris, France