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Fráncfort

Muy seguro
Más seguro
Precaución
Riesgo alto
Riesgo muy alto
Riesgo extremo
Seguridad por zona urbana
Cargando evidencia por zona…
Fráncfort: 83

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Fráncfort: mapa de seguridad y contexto de viaje

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Estimación con fuentes, cobertura local parcial y referencias geográficas más amplias.

Estimación urbana: 83/100. Más alto significa más seguro en la escala del modelo. Evidencia: · Confianza: C

¿Qué cubre este mapa?

Estimación de investigación: solo una dimensión varía con evidencia local; las demás usan la base de ciudad o país. Las zonas sin color carecen de evidencia local; no necesariamente son seguras.

46 zonas cartografiadas ·

Descargar capa y cálculos (GeoJSON)

Límite: Stadt Frankfurt am Main, Bürgeramt Statistik und Wahlen · Frankfurt am Main Stadtteile (Datenlizenz Deutschland Namensnennung 2.0)

Antes de elegir alojamiento

  1. Localiza el alojamiento y comprueba si su zona tiene evidencia.
  2. Lee qué explica las diferencias locales. Un valor urbano y uno local responden preguntas distintas.
  3. Consulta por separado los consejos actuales y el transporte. Estas estimaciones no evalúan un hotel, calle u hora concretos.

Evidencia de toda la ciudad

Violencia personal
91/100
Patrimonio y estafas
62/100
Movilidad
90/100
Salud y rescate
94/100
Conflicto y estabilidad
89/100
Desastres y entorno
60/100
Respuesta de infraestructura
93/100

Una estimación urbana no evalúa una calle, hotel ni hora concreta.

Fuentes y límites (idioma original)

Compare Frankfurt areas on the map, with local evidence and source details.

2025 police-reported crashes with personal injury only. Severity categories 1–2 (fatal or serious injury) divided by categories 1–3 (all injury crashes). Not all crashes or crime. 46 city districts. 2,865 of 2,885 municipality-coded crash points join exactly one official district; 20 outside/boundary-ambiguous points are excluded, not moved. Small-sample stabilization: (serious/fatal cases + 20 × city serious/fatal share) / (injury crashes + 20). The smoothing strength is an explicit research assumption. Raw counts and shares are retained in the preparation fixture. This is severity among recorded injury crashes, not the chance of a traveler having a crash. Zero observed serious crashes is not zero travel risk. Boundary revision 2024-04-01, retrieved 2026-10-27. Topology-preserving simplification at 0.000025 degrees, below 0.5% area drift. The citywide score uses Germany national priors. Local evidence adjusts only mobility.

2025 police-reported crashes with personal injury only. Severity categories 1–2 (fatal or serious injury) divided by categories 1–3 (all injury crashes). Not all crashes or crime. 46 city districts. 2,865 of 2,885 municipality-coded crash points join exactly one official district; 20 outside/boundary-ambiguous points are excluded, not moved. Small-sample stabilization: (serious/fatal cases + 20 × city serious/fatal share) / (injury crashes + 20). The smoothing strength is an explicit research assumption. Raw counts and shares are retained in the preparation fixture. This is severity among recorded injury crashes, not the chance of a traveler having a crash. Zero observed serious crashes is not zero travel risk. Boundary revision 2024-04-01, retrieved 2026-10-27. Topology-preserving simplification at 0.000025 degrees, below 0.5% area drift. The citywide score uses Germany national priors. Local evidence adjusts only mobility.

2025 police-reported crashes with personal injury only. Severity categories 1–2 (fatal or serious injury) divided by categories 1–3 (all injury crashes). Not all crashes or crime.

46 city districts. 2,865 of 2,885 municipality-coded crash points join exactly one official district; 20 outside/boundary-ambiguous points are excluded, not moved.

Small-sample stabilization: (serious/fatal cases + 20 × city serious/fatal share) / (injury crashes + 20). The smoothing strength is an explicit research assumption. Raw counts and shares are retained in the preparation fixture.

This is severity among recorded injury crashes, not the chance of a traveler having a crash. Zero observed serious crashes is not zero travel risk.

Boundary revision 2024-04-01, retrieved 2026-10-27. Topology-preserving simplification at 0.000025 degrees, below 0.5% area drift.

The citywide score uses Germany national priors. Local evidence adjusts only mobility.

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

    Natural=4.0; Current Conflict Intensity=1.1; Infrastructure=0.7; Access to health care=0.6. Published 0–10 components multiplied by ten for the existing research risk scale.; Country humanitarian-risk priors, not measured local street risks. European Union, CC BY 4.0.

  • UNODC via UN Statistics Division · Germany national homicide and theft

    Homicide: 0.9 per 100,000 (2023); theft: 1241.4 per 100,000 (2022). Country observations.; Weak property calibration: existing France research risk 45 + bounded(10 × log2(1241.4/2011.4), ±20), using the same-year UN theft series. Definitions and reporting differ between countries.

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

    34 deaths per million residents, converted to 3.4 per 100,000. Preliminary estimate. European Union, CC BY 4.0.

  • Statistische Ämter des Bundes und der Länder · Frankfurt injury crash severity, Unfallatlas 2025

    2025 police-reported crashes with personal injury only. Severity categories 1–2 (fatal or serious injury) divided by categories 1–3 (all injury crashes). Not all crashes or crime.; 46 city districts. 2,865 of 2,885 municipality-coded crash points join exactly one official district; 20 outside/boundary-ambiguous points are excluded, not moved.; Small-sample stabilization: (serious/fatal cases + 20 × city serious/fatal share) / (injury crashes + 20). The smoothing strength is an explicit research assumption. Raw counts and shares are retained in the preparation fixture.; This is severity among recorded injury crashes, not the chance of a traveler having a crash. Zero observed serious crashes is not zero travel risk.; Datenlizenz Deutschland Namensnennung 2.0: https://www.opengeodata.nrw.de/produkte/transport_verkehr/unfallatlas/ . Aggregation and smoothed shares by Safrom.

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