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公開 Alpha · 研究版
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柏林

非常安全
較安全
謹慎
高風險
很高風險
極端風險
城市區域安全
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柏林: 83

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柏林安全地圖與旅行背景

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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

地圖涵蓋什麼?

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 ·

下載圖層與計算證據(GeoJSON)

邊界資料: Amt für Statistik Berlin-Brandenburg · Berlin LOR Bezirksregionen, 2023 (CC BY 3.0 (boundaries); CC BY-SA (derived theft dataset))

選擇住宿前

  1. 在地圖找到住宿候選,確認該區域是否有證據。
  2. 閱讀區域差異來自什麼。城市分數和區域估算回答的問題不同。
  3. 另外核查最新當地提示與交通。這些估算不能評估某家飯店、某條街道或特定時段。

城市整體證據

人身暴力
91/100
財產與詐騙
62/100
交通與移動
90/100
醫療與救援
94/100
衝突與穩定
89/100
災害與環境
60/100
基礎設施應變
93/100

城市估算不能評估某條街道、某家飯店或特定時段。

來源與限制(原文)

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.

  • European Commission JRC and INFORM partners · Germany INFORM Mid-2026 component priors

    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.

  • UNODC via UN Statistics Division · Germany homicide 2023 and theft 2022, UN Statistical Yearbook

    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.

  • European Commission, CARE and national sources · Germany road deaths, 2025 preliminary

    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.

  • Polizei Berlin · Berlin recorded theft by Bezirksregion, 2025

    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.

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