African Renaissance Trust
Africa HealthFinancing Dashboard

Documentation

Methodology & Framework.

Comprehensive documentation regarding data sourcing, calculation logic, and benchmarking criteria utilized across the African Health Financing Dashboard.

Explore indicator framework
Data and analytics

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.

27core primary
indicators
4standardized data
categories
55tracked AU
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

Highlighted Area
Data sourcing

Raw Data Sources & Repositories

Access the aggregate spreadsheet consolidating all queried APIs, or review the primary global data foundations below.

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  • 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.
Dashboard Constraints

Limitations & Caveats

The dashboard uses the best available public data. Users should interpret the results with the following limitations in mind:

01

Data Gaps

Data availability and quality vary across Member States. Some indicators may have missing values, including gaps across several years.

02

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.

03

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.

Accra Skyline

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.