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數字是全球統一尺度的研究估算；R 代表研究中。所有內容均非旅遊建議。
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大阪: 85
數字是全球統一尺度的研究估算；R 代表研究中。所有內容均非旅遊建議。
找到心儀的飯店了？訂房前，先看看周邊區域。
點選搜尋會把查詢內容與所選城市傳送給 OpenStreetMap Nominatim，請勿輸入私人住址或敏感資訊。 搜尋服務政策
出發前，先瞭解
有來源的研究估算；當地覆蓋不完整，部分維度沿用更廣地理範圍的基線。
城市研究估算為 85/100；模型尺度上分數越高越安全。 證據日期: · 信賴度: C
研究估算：區域僅調整有當地證據的一個維度，其他維度沿用城市或國家基線。 空白處缺少區域證據，不代表安全。
24 個已映射區域 ·
邊界資料: Japan MLIT · Osaka administrative wards, 2025 (CC BY 4.0)
城市估算不能評估某條街道、某家飯店或特定時段。
Compare Osaka's 24 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).
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://www.police.pref.osaka.lg.jp/seikatsu/9260.html; Ward aggregation and research transformation by Safrom.
census; Residents include foreign residents; visitors and commuters are not a denominator.
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
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