Health data across the African world, without flattening what countries actually measure.
The Global Black Health Atlas brings together population visibility, disease burden, mortality, health-system indicators, and data-quality signals across African countries and Afro-descendant communities.
Intelligence explorer
Find the place. See the context. Follow the source.
Search the data you already have now. As the live pipeline comes online, the same interface can absorb WHO, CDC, PAHO, and national-source observations without rebuilding the page.
| Country | Region | Category used | Population signal | Disease signal | Year | Quality | Source |
|---|
Launch 30
Thirty indicators. One source-governed intelligence layer.
Explore the Atlas by health indicator. When the live feed is connected, this view automatically uses the normalized WHO, PAHO, CDC, and national-source records produced by the data engine.
Compare
Compare what is comparable. Flag what is not.
The Atlas should not manufacture a global race category. The comparison experience keeps each country’s source-native population language visible.
Source ledger
Every number should know where it came from.
The live Atlas should preserve source organization, dataset, indicator, year, category, retrieval date, and transformation notes alongside every observation.
Method standard
Pan-African does not mean one denominator.
The Atlas connects health across Africa and the diaspora while preserving the classification system used by each source. A national Kenyan disease rate is not relabeled as a “Black rate.” A U.S. race-specific mortality rate is not treated as equivalent to Brazil’s Preto + Pardo category without an explicit comparability note.
Build the Atlas
Turn the visitor anchor into durable public infrastructure.
Country layers, disease layers, source integration, mortality extraction, annual reports, and technical maintenance can become sponsorable units without putting the public data experience behind a paywall.
