AidData's online portal addresses three critical gaps in development finance information. First, building upon the official source for aid statistics, the OECD’s Creditor Reporting System, it provides a more comprehensive data than is currently available from any other source. Second, by collected data directly from donor agencies, AidData.org provides data in a more timely fashion than other aggregators. Finally, AidData's website search tools and extensive work to categorize aid activities according to a detailed sector classification scheme make development finance information far more accessible and usable than ever before.
Key features of the AidData database:
- It is a project-level database that tracks more than 1 million individual development finance activities from over 85 bilateral and multilateral agencies to more than 200 recipients.
- It covers more than $5.4 trillion dollars in global development finance from 1947 to 2011.
- It includes, but is not limited to, official development assistance (ODA) flows. Non-ODA flows include official loans from bilateral and multilateral lenders that do not meet the 25% concessionality threshold for ODA, flows to "non-ODA countries" (e.g. the United States, Russia), South-South cooperation activities, and other non-ODA technical cooperation activities.
- It includes, but is not limited to, the data contained in the OECD's Creditor Reporting System.
- It provides data for "non-traditional" donors, such as Brazil, India, South Africa, Poland, UAE, Saudi Arabia, and Kuwait.
- It includes project descriptions, which provide the basis for finer-grained sector coding and geo-referencing.
- The financial commitment data are more or less comprehensive, but the disbursement data are uneven across donors and time.
- It does not include data from private foundations (e.g. Gates, Ford, Rockefeller, MacArthur, Hewlett). However, AidData recently announced a partnership with the Foundation Center to remedy this problem.
Read a more detailed discussion of the AidData sector coding methodology.
Read a more detailed discussion of the AidData geocoding methodology.