Grafenwöhr
City in Bavaria, Germany
Overview
Grafenwöhr is a picturesque Bavarian town best known for its peaceful environment and proximity to the Grafenwöhr Training Area, one of Europe's largest military bases. The city balances its historical heritage with a strong international community presence.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
6,710
Time Zone
Europe/Berlin
Coordinates
49.72°, 11.91°
Key Metrics
Safety Score · estimate
87
Female Safety
82
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
97
Monthly Cost · estimate
$1,820
Local Cost
$1,130
Local Income
$2,350
Cashless
65
English
60
Temperature
8.5°C
Summer Avg
18.5°C
Winter Avg
-1.3°C
Record High
37.7°C
Record Low
-23.2°C
Humidity
80%
Precipitation
710 mm
Internet Speed
44 Mbps
Upload
21 Mbps
Latency
14 ms
City Vibrancy
8
Coworking
0
Cafes
2
Nightlife
5
Parks
1
Transport
27
Walk Score
27
Footways
53.0
Airport
BYU
Distance
35 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 76/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.