Coverage
183 complete country profiles
All four indicators share a latest common reference year for 183 countries. Eight additional countries use clearly labeled mixed latest years.
Current public context supplement
Evidence relevant to major causes of pain by place
These datasets expand geographic coverage while keeping unlike evidence separate. They support investigation and prioritization; they are not a single universal pain ranking.
Human severe-outcome context
741 observations across 191 countries
The public supplement contains four WHO mortality-rate series exposed through the World Bank Indicators API: household and ambient air pollution, unsafe water and sanitation, road traffic, and suicide. All values use deaths per 100,000 population, so comparisons are restricted to this compatible unit family.
Interpretation
Mortality is a proxy
These rates do not measure pain intensity, duration, prevalence, disability, nonfatal suffering, or total welfare burden.
Cross-species and environmental context
24 source-backed candidate observations
The bounded candidate cohort covers China, Germany, Indonesia, Japan, Mexico, Russia, the United Kingdom, and the United States. It records land animals slaughtered annually, agricultural insecticide use, and land area context with retrieval receipts and checksums.
| Signal | Unit | Role | Source extract |
|---|---|---|---|
| Land animals slaughtered | animals per year | Scale proxy for exposure to husbandry, handling, transport, and slaughter; not a pain-duration estimate. | JSON |
| Agricultural insecticide use | tonnes of active ingredient per year | Pressure proxy for potentially large invertebrate exposure; causal welfare effects remain highly uncertain. | JSON |
| Land area | km² | Geographic denominator only. It is not a cause of pain and is excluded from cause rankings. | JSON |
Comparison rules
No cross-domain composite score
Mortality rates, animal counts, chemical mass, land area, pain-duration estimates, and welfare weights are not commensurable. PainMap permits within-metric comparisons when units, methods, and reference-period semantics match. Any future synthesis must expose its transformations, uncertainty, sensitivity, and moral assumptions rather than hiding them in a single number.