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
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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：83/100。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。
143地域を掲載 ·
境界: Amt für Statistik Berlin-Brandenburg · Berlin LOR Bezirksregionen, 2023 (CC BY 3.0 (boundaries); CC BY-SA (derived theft dataset))
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 Berlin areas using official recorded-theft evidence, with broader travel-safety context and source details.
Official register population denominator differs from the federal census used in the headline PKS rate. Per-resident theft rates are influenced by visitors and commuters. Unlocated incidents remain in city totals and are not assigned to individual areas. The source city total exceeds the sum of published area and unknown rows by one theft; no area value is changed. Theft is a specific property-risk input; no time-of-day or other local risk dimension is inferred. The city score uses national priors. Local theft rates adjust only the property dimension across 143 Bezirksregionen. Derived local dataset is CC BY-SA; retain Polizei Berlin attribution and share-alike. LOR boundaries have their separate CC BY 3.0 attribution.
Official register population denominator differs from the federal census used in the headline PKS rate. Per-resident theft rates are influenced by visitors and commuters. Unlocated incidents remain in city totals and are not assigned to individual areas. The source city total exceeds the sum of published area and unknown rows by one theft; no area value is changed. Theft is a specific property-risk input; no time-of-day or other local risk dimension is inferred. The city score uses national priors. Local theft rates adjust only the property dimension across 143 Bezirksregionen. Derived local dataset is CC BY-SA; retain Polizei Berlin attribution and share-alike. LOR boundaries have their separate CC BY 3.0 attribution.
Official register population denominator differs from the federal census used in the headline PKS rate.
Per-resident theft rates are influenced by visitors and commuters.
Unlocated incidents remain in city totals and are not assigned to individual areas. The source city total exceeds the sum of published area and unknown rows by one theft; no area value is changed.
Theft is a specific property-risk input; no time-of-day or other local risk dimension is inferred.
The city score uses national priors. Local theft rates adjust only the property dimension across 143 Bezirksregionen.
Derived local dataset is CC BY-SA; retain Polizei Berlin attribution and share-alike. LOR boundaries have their separate CC BY 3.0 attribution.
Natural=4; current conflict intensity=1.1; infrastructure=0.7; access to health care=0.6. Each published 0–10 component is multiplied by ten for the existing research risk scale.; Country humanitarian-risk components are weak priors, not measured Berlin street or individual tourist risks.; European Union, CC BY 4.0; component extraction and research transformation by Safrom.
Homicide: 0.9 per 100,000 (2023); theft: 1,241.4 per 100,000 (2022). Country observations, not Berlin rates.; Property prior uses the same 2022 UN theft series against France (2,011.4), anchored at the existing France research risk 45: 45 + bounded(10 × log2(rate/reference), ±20). This is an explicit weak model calibration, not an official score.; Recording definitions and reporting propensity differ between countries. This country comparison does not create locally observed risks; geographic-fit confidence is 0.2.
34 deaths per million residents, equivalent to 3.4 per 100,000. Preliminary full-year estimate published 2026-03-24; not Berlin traffic exposure.; European Union, CC BY 4.0; unit conversion and research transformation by Safrom.
Official register population denominator differs from the federal census used in the headline PKS rate.; Per-resident theft rates are influenced by visitors and commuters.; Unlocated incidents remain in city totals and are not assigned to individual areas. The source city total exceeds the sum of published area and unknown rows by one theft; no area value is changed.; Theft is a specific property-risk input; no time-of-day or other local risk dimension is inferred.; CC BY-SA; Polizei Berlin. Local aggregation and transformation by Safrom; redistribution of the derived dataset must preserve attribution and share-alike.