점수는 세계 공통 척도의 연구 추정치입니다. R은 작업 중을 뜻하며 여행 조언이 아닙니다.
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출처가 있는 연구 추정치입니다. 지역 자료가 불완전하며 필요시 광역 대체값을 사용합니다.
도시 전체 연구 추정치: 88/100. 모델 척도에서 높을수록 더 안전합니다. 근거 날짜: · 자료 신뢰도: C
연구 추정치: 현지 근거가 있는 한 항목만 달라지고 다른 항목은 도시·국가 기준값을 유지합니다. 무색 지역은 지역 근거가 없으며 안전하다는 뜻이 아닙니다.
10개 지역 표시 ·
경계: Japan MLIT · Sapporo administrative wards, 2025 (CC BY 4.0)
도시 점수는 개별 거리·호텔·시간대를 설명하지 않습니다. 레이어의 출처·날짜·한계를 확인하세요.
Compare Sapporo's 10 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.
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; humanitarian risk framing differs from traveler exposure; composite inputs can overlap Safrom dimensions; current event conditions require separate signals
0.2 per 100,000; a country prior for personal violence, not a city rate.; Uses the existing research homicide curve (0→0, 1→10).
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
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.
resident_register_including_foreign_residents; Residents include foreign residents; visitors and commuters are not a denominator.
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