Documentation
Methodology & Framework.
Comprehensive documentation regarding data sourcing, calculation logic, and benchmarking criteria utilized across the African Health Financing Dashboard.
Explore indicator framework
Indicator Framework
The dashboard is structured around broad categories that organise the indicators in a clear and consistent way. The selection of indicators is informed by recognised frameworks and commitments, including the Africa Scorecard, the ALM Declaration, the WHO Building Blocks, and SDG 3.
indicators
categories
member states
Metric Categories
Finances
How much funding is available, and from what source?
General Fiscal Space
What is the government's room for policy making?
Finance Utilisation
What does 1 USD buy?
Health Impact
Outcomes and impact on population health
Benchmarking Methodology
Comparative analytics across the continent are inherently skewed without standardized geographic or economic peer groups. To establish fair comparisons, the application benchmarks quantitative records alongside primary categorizations:
Geographic Region
Regional Economic Community (REC)
World Bank Income Classification
IIAG Overall Governance
Western Africa
15 Member States in this category

Raw Data Sources & Repositories
Access the aggregate spreadsheet consolidating all queried APIs, or review the primary global data foundations below.
Go To Download Center- WHO Global Health Expenditure Database (GHED)Primary source for domestic health financing data — government health expenditure, out-of-pocket spending, and external resources.
- World Bank World Development Indicators (WDI)GDP, income classification, tax-to-GDP, and cross-check for health expenditure indicators.
- IMF World Economic Outlook (WEO)Debt-to-GDP, debt service, interest payments, and fiscal space indicators with projections to 2030.
- WHO Global Health Observatory (GHO)UHC service coverage index, health workforce density, maternal mortality, child mortality, and facility data.
- UNICEF/WHO Joint DatabaseSkilled birth attendance and RMNCH coverage indicators.
Limitations & Caveats
The dashboard uses the best available public data. Users should interpret the results with the following limitations in mind:
Data Gaps
Data availability and quality vary across Member States. Some indicators may have missing values, including gaps across several years.
Reporting Delays
Some sources, including the WHO Global Health Expenditure Database, are published with a 2-3 year time lag. Since this lag is normalised across all member states, most recent available data are still comparable.
Inflation and Currency Effects
Comparisons over time can be affected by inflation, exchange rates, and purchasing power differences. For this reason, the dashboard avoids direct comparison of absolute domestic currency values across countries.

Geographic Coverage
Database queries systematically span exactly 55 African Union Member States, recognizing the Sahrawi Arab Democratic Republic (SADR). We maintain strict territorial mappings aligned explicitly with authorized AU spatial demarcations. No auxiliary unrecognized sub-regions occupy standalone dataset clusters. Operations isolate reporting explicitly across Central, Eastern, Northern, Southern, and Western administrative sub-regions.