Estimación con fuentes, cobertura local parcial y referencias geográficas más amplias.
Estimación urbana: 88/100. Más alto significa más seguro en la escala del modelo. Evidencia: · Confianza: C
¿Qué cubre este mapa?
Estimación de investigación: solo una dimensión varía con evidencia local; las demás usan la base de ciudad o país. Las zonas sin color carecen de evidencia local; no necesariamente son seguras.
Localiza el alojamiento y comprueba si su zona tiene evidencia.
Lee qué explica las diferencias locales. Un valor urbano y uno local responden preguntas distintas.
Consulta por separado los consejos actuales y el transporte. Estas estimaciones no evalúan un hotel, calle u hora concretos.
Evidencia de toda la ciudad
Violencia personal
98/100
Patrimonio y estafas
75/100
Movilidad
90/100
Salud y rescate
92/100
Conflicto y estabilidad
92/100
Desastres y entorno
65/100
Respuesta de infraestructura
93/100
Una estimación urbana no evalúa una calle, hotel ni hora concreta.
Fuentes y límites (idioma original)
Compare Kyoto's 11 wards using official theft records, resident populations and a source-linked safety research estimate.
Local property variation uses seven recorded theft categories, not all theft or scams. Bicycle and vehicle theft dominate the ward aggregate. Per-resident rates include crimes involving visitors and commuters; central commercial wards need this context. City property input compares like-for-like category rates to the existing Tokyo research anchor. Five non-crime inputs retain the existing Japan calibration; homicide uses the 2023 country observation. Only the property component varies between wards. Day/night profiles are unavailable.
Local property variation uses seven recorded theft categories, not all theft or scams. Bicycle and vehicle theft dominate the ward aggregate. Per-resident rates include crimes involving visitors and commuters; central commercial wards need this context. City property input compares like-for-like category rates to the existing Tokyo research anchor. Five non-crime inputs retain the existing Japan calibration; homicide uses the 2023 country observation. Only the property component varies between wards. Day/night profiles are unavailable.
Local property variation uses seven recorded theft categories, not all theft or scams. Bicycle and vehicle theft dominate the ward aggregate.
Per-resident rates include crimes involving visitors and commuters; central commercial wards need this context.
City property input compares like-for-like category rates to the existing Tokyo research anchor. Five non-crime inputs retain the existing Japan calibration; homicide uses the 2023 country observation.
Only the property component varies between wards. Day/night profiles are unavailable.
Seven published theft types; excludes shoplifting, most pickpocketing, fraud and violence.; Resident population does not include visitors and commuters; centre-city rates reflect this difference.; No individual incident addresses or times are included in this aggregate.; https://creativecommons.org/licenses/by/4.0/; Ward aggregation and research transformation by Safrom.
犯罪発生情報（年計）、東京都・警視庁、CC BY 4.0; aggregated by Safrom; https://portal.data.metro.tokyo.lg.jp/terms/; Calibration reference only; nine records with no municipality are excluded.; Reference population: 9,953,160, 2025 preliminary census. https://www.my.metro.tokyo.lg.jp/w/003-20260529-257352507
U.S.-traveler perspective; Level 1 is a broad country advisory and cannot represent Tokyo neighborhood variation; advisory level is not an absolute safety score
country-level only; modeled perceptions rather than traveler incidents; cannot represent neighborhood variation or current events; confidence intervals must not be discarded