スコアは世界共通の尺度による研究推計です。R は作業中を示します。旅行の助言ではありません。
ホテルが見つかりましたか？予約前に周辺エリアを確認しましょう。
検索すると入力内容と選択都市を OpenStreetMap Nominatim に送信します。個人の住所や機密情報は入力しないでください。 検索サービスの方針
旅立つ前に、知っておこう
出典を伴う研究推計です。地域資料は不完全で、必要に応じて広域の代替値を使用します。
都市全体の研究推計：85/100。モデルの尺度では高いほど安全です。 根拠日付: · 資料の確かさ: C
研究推計：地域資料で裏付けられた1項目のみが変動し、他は都市・国の基準値を引き継ぎます。 空白の場所は地域資料がなく、安全を意味しません。
24地域を掲載 ·
境界: Japan MLIT · Osaka administrative wards, 2025 (CC BY 4.0)
都市スコアは個々の街路、ホテル、時間帯を表しません。レイヤーの出典、日付、制約を確認してください。
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