Hammelburg
City in Bavaria, Germany
Overview
Hammelburg, set amid the rolling hills of Franconia in northern Bavaria, is Germany's oldest wine town. Its picturesque streets, historic castle, and lively wine culture make it an inviting destination for history buffs and nature lovers alike.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
10,826
Time Zone
Europe/Berlin
Coordinates
50.12°, 9.89°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,673
Local Cost
$1,040
Local Income
$2,300
Cashless
65
English
55
Temperature
9.3°C
Summer Avg
19.0°C
Winter Avg
0.1°C
Record High
39.0°C
Record Low
-21.5°C
Humidity
80%
Precipitation
680 mm
Internet Speed
68 Mbps
Upload
11 Mbps
Latency
23 ms
City Vibrancy
9
Coworking
0
Cafes
2
Nightlife
5
Parks
2
Transport
75
Walk Score
75
Footways
150.0
Airport
KZG
Distance
47 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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.