Static approved starter data • Annual source review

Global Black Health Atlas

A public intelligence system for seeing Black health across borders.

The Atlas tracks Black and Afro-descendant population visibility, disease burden, mortality data gaps, and the national systems that decide whether Black life becomes measurable.

Population visibility Disease burden Mortality gaps Race data quality Source governance
6Starter country signals
4Core data layers
A–CQuality grading
Data gaps treated as findings
GBHA
Atlas Signal Population • Mortality • Category • Quality
Atlas Console

Compare countries without erasing category differences.

The console is designed to make public data legible while protecting methodological integrity: race categories are named, mortality readiness is flagged, and non-comparable contexts are not forced.

Comparison Controls
Signal Comparison
Method Standard

Race categories are not globally interchangeable.

The Global Black Health Atlas is built around a simple public health rule: no country should be forced into another country’s race classification system. The Atlas names each category, explains what is comparable, and flags what remains pending.

This is why the Atlas treats data gaps as findings. If a country cannot publicly show race-specific mortality or disease burden for Black or Afro-descendant populations, that absence becomes part of the intelligence layer.

01
Name the category before comparing the value. Every profile shows the population category used by the source.
02
Separate population visibility from mortality readiness. Population fields can exist while race-specific mortality extraction remains pending.
03
Grade the data, not the people. Quality grades reflect source clarity, category comparability, and public display readiness.
04
Make absence visible. Missing public data is not ignored. It becomes a governance signal.
Atlas Layers

A public health intelligence stack for Black communities.

The Atlas can grow from starter profiles into a global intelligence institution: country pages, disease layers, mortality patches, legal-health pathways, and public reports.

01

Population Visibility

Black, Afro-descendant, African-origin, and related category fields with source-year and comparability notes.

Core layer
02

Disease Burden

Country-level disease signals for cardiovascular disease, diabetes, stroke, mental health, maternal health, and future expansion.

Priority layer
03

Mortality Gaps

Race-specific mortality availability, pending extraction flags, not-public fields, and mortality-source notes.

High-value patch
04

Race Data Quality

Grades, source trust, category comparability, update frequency, and public display rules.

Governance layer
05

Law + Health Pathways

Legal exposure pathways from Refund My Freedom: incarceration, policing, housing, family systems, labor, and surveillance.

Premium layer
06

Community Survey Signal

State of Black Data Survey and Black Health Co-OP signals layered into public dashboards and reports.

Platform layer
Source-Governed Data

The public table behind the intelligence product.

These are starter fields for display architecture. Replace placeholder source URLs with official links before public launch. Black mortality percentages remain pending until official race-specific mortality extraction is complete.

Country Category Used Black / Afro % Frequency White % Disease + Black Death Field Mortality Status Quality Source
Institutional Partnership

Fund the Black health data infrastructure.

The Global Black Health Atlas is built to grow through country layers, disease layers, mortality extraction, data governance, public reporting, and community-facing translation.

Why Institutions Fund This

It turns absence into infrastructure.

Black health is often discussed through crisis, but rarely given durable public data infrastructure. The Atlas creates a place where countries, categories, mortality gaps, disease burdens, and law-health pathways can be seen together.

Funders can support a country, disease, dataset, report, public education series, research fellowship, or technical methods expansion.

Global Black Health Atlas

A public map. A research engine. A fundable data institution.

The Atlas is built to become a signature intelligence product of the I AM Research Institute: source-governed, category-aware, visually premium, and expandable by country, disease, and data layer.