Scores are global-scale research estimates. R marks work in progress; none are travel advice.
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A caution-band calibration case where property crime, violence, and nighttime mobility matter more than health-system capacity.
Safrom's citywide research estimate is 63/100. Higher scores mean safer on the model's scale. Evidence as of . Confidence: B.
16 areas with estimates. Area evidence as of .
Overall-only public-alpha estimate. All 16 Mexico City boroughs use selected 2025 SESNSP recorded person/property offense counts, joined by official municipal code and conservatively anchored to the city score. These are alleged offenses in investigation records, not convictions, unique victims, or resident/visitor victimization rates. The full source reports 210107 alleged offenses; 9255 have no specified borough and are excluded, not redistributed. Population, visitors, commuting, land use, reporting and policing affect count patterns. Source categories and weights are documented in the offline model. No day/night differences are inferred. Official boundaries are for display; not travel advice.
Boundaries: Instituto Nacional de Estadística y Geografía (INEGI) / Gobierno de la Ciudad de México · Límite de Alcaldías (CC BY 4.0).
Research-only estimates. Scores combine city-local evidence with documented national or regional fallback inputs; confidence communicates uncertainty. They are not travel advice.
alerts are not long-term baseline risk; event footprint may not equal traveler exposure; alert severity cannot be copied directly into Safrom score
country-level only; reporting and justice-system differences; latest year differs by country; not traveler-specific
country-level only; availability does not measure emergency accessibility; latest year differs by country; distribution within a country is hidden
country-level only; collection is not annual for every country; some values are modeled estimates; resident exposure differs from traveler exposure
regional variation is large; U.S.-traveler perspective; narrative guidance requires structured extraction review