正在加载地图…
日本
札幌
城市选择
选择一个城市
数字是全球统一尺度的研究估算；R 表示研究中。所有内容均非旅行建议。
看看这里怎么样
找到心仪的酒店了？订房前，先看看周边区域。
搜索服务政策
点击搜索会把查询内容和所选城市发送给 OpenStreetMap Nominatim，请勿输入私人住址或敏感信息。 搜索服务政策
正在连接本地目录…
非常安全
较安全
谨慎
高风险
很高风险
极端风险
札幌: 88
数字是全球统一尺度的研究估算；R 表示研究中。所有内容均非旅行建议。
找到心仪的酒店了？订房前，先看看周边区域。
点击搜索会把查询内容和所选城市发送给 OpenStreetMap Nominatim，请勿输入私人住址或敏感信息。 搜索服务政策
出发前，先了解
有来源的研究估算；本地覆盖不完整，部分维度沿用更广地理范围的基线。
城市研究估算为 88/100；模型尺度上分数越高越安全。 证据日期: · 置信度: C
研究估算：区域仅调整有当地证据的一个维度，其他维度沿用城市或国家基线。 空白处缺少区域证据，不代表安全。
10 个已映射区域 ·
边界数据: Japan MLIT · Sapporo administrative wards, 2025 (CC BY 4.0)
城市估算不能评估某条街道、某家酒店或特定时段。
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