Comparez les villes et leurs quartiers pour préparer votre séjour. Sur la carte, le repère « R » indique une ville en cours de recherche, sans score disponible.
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Politique du service de recherche
La recherche transmet le texte et la ville choisie à OpenStreetMap Nominatim. Ne saisissez pas d'adresse privée ni d'information sensible. Politique du service de recherche
Estimation de recherche fondée sur des sources, avec une couverture locale incomplète et des références géographiques plus larges lorsque nécessaire.
Estimation urbaine : 83/100. Plus élevé signifie plus sûr sur l'échelle du modèle. Données au: · Confiance: C
Que couvre cette carte ?
Estimation de recherche : seule la dimension étayée localement varie ; les autres conservent la base de la ville ou du pays. Les zones sans couleur sont sans éléments locaux, pas nécessairement sûres.
Repérez l'hébergement prévu et vérifiez si sa zone dispose d'éléments.
Consultez ce qui explique les différences locales. Un score urbain et une estimation locale répondent à des questions différentes.
Vérifiez séparément les conseils locaux et transports actuels. Ces estimations ne décrivent pas un hôtel, une rue ou une heure précise.
Éléments pour toute la ville
Violences contre les personnes
91/100
Biens et escroqueries
62/100
Déplacements
90/100
Santé et secours
94/100
Conflits et stabilité
89/100
Catastrophes et environnement
60/100
Infrastructures et intervention
93/100
Le score urbain ne décrit pas chaque rue, hôtel ou moment. Consultez les sources, les dates et les limites de la couche.
Sources et limites (langue d'origine)
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.