The Health Financing Data  & Analysis Center’s goal is to enable better data use around financial resources to enable decision-making around resource allocation.

Achieving universal health coverage will require increasing domestic resources for health and ensuring efficient and equitable allocation of those funds subnationally. Increasing in-country capacity to track resources is essential to ensuring adequate allocations of health finances.

The Health Financing Data & Analysis Centre (DAC) will:

  • Monitor global aid flows for reproductive, maternal, newborn and child health (RMNCH) using the Muskoka2 algorithm, an automated algorithm that estimates levels of aid for reproductive health, maternal and newborn health, and child health.
  • Undertake country-level tracking and analysis of financing for health and RMNCH.
  • Consider new methods for more efficient and timely tracking of domestic funds at country level.
  • Provide capacity development for country-level financial analysis.
  • Create a depository of financing data for use by countries and funding agencies.

Key indicators related to financing are available in Countdown country profiles.

Background Resources and Materials

The Global Health Expenditure Database provides internationally comparable data on health spending for close to 190 countries from 2000 to 2017. The database provides information on health spending on reproductive health for a subset of these countries.



AidData publishes geocoded aid data for specific countries and for a number of donors enabling the subnational tracking of aid flows within countries.

The OECD Creditor Reporting System (CRS) database is used to track ODA flows from Development Assistance Committee (DAC) member. The CRS can generate estimates globally, by year, by recipient country, and by donor for health aid and for aid to all other sector.

Tools & Resources

Muskoka2 estimates of aid for reproductive, maternal, newborn, and child health (RMNCH) over years 2002-17 as reported in Dingle et al (2020). The Excel file includes the main reported figures, and the analyses, data, and assumptions underlying the reported figures. Read a brief description of the Muskoka2 methodology. Download the Excel file here.  
Catherine Pitt
Josephine Borghi
Melisa Martinez-Alvarez
Peter Binyaruka