Die Werte sind Forschungsschätzungen auf einer globalen Skala. R kennzeichnet laufende Arbeiten. Sie sind keine Reiseberatung.
Ort prüfen
Ein Hotel gefunden? Prüfen Sie vor der Buchung die Umgebung.
Richtlinie des Suchdienstes
Die Suche übermittelt den Text und die gewählte Stadt an OpenStreetMap Nominatim. Keine privaten Adressen oder sensiblen Angaben eingeben. Richtlinie des Suchdienstes
Quellenbasierte Forschungsschätzung mit unvollständiger lokaler Abdeckung und bei Bedarf überregionalen Ersatzwerten.
Stadtweite Forschungsschätzung: 83/100. Auf der Modellskala bedeutet höher sicherer. Belegstand: · Evidenzqualität: C
Was deckt diese Karte ab?
Forschungsschätzung: Nur eine lokal belegte Dimension variiert; andere behalten Stadt- oder Länderbasiswerte. Ungefärbte Gebiete haben keine lokalen Belege und sind nicht automatisch sicher.
Geplante Unterkunft lokalisieren und prüfen, ob ihr Gebiet belegt ist.
Ursachen lokaler Unterschiede prüfen. Stadtwert und Gebietsschätzung beantworten unterschiedliche Fragen.
Aktuelle örtliche Hinweise und Verkehrsmittel getrennt prüfen. Diese Schätzungen bewerten kein einzelnes Hotel, keine Straße und keine bestimmte Uhrzeit.
Stadtweite Belege
Gewalt gegen Personen
91/100
Eigentum und Betrug
62/100
Mobilität
90/100
Gesundheit und Rettung
94/100
Konflikte und Stabilität
89/100
Katastrophen und Umwelt
60/100
Infrastruktur und Krisenreaktion
93/100
Der Stadtwert beschreibt nicht jede Straße, jedes Hotel oder jede Uhrzeit. Quellen, Datenstände und Grenzen der Ebene beachten.
Quellen und Grenzen (Originalsprache)
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.