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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。
看看這裡怎麼樣
找到心儀的飯店了?訂房前,先看看周邊區域。
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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。
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 83/100;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。
143 個已映射區域 ·
邊界資料: Amt für Statistik Berlin-Brandenburg · Berlin LOR Bezirksregionen, 2023 (CC BY 3.0 (boundaries); CC BY-SA (derived theft dataset))
城市估算不能評估某條街道、某家飯店或特定時段。
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.