Wonfurt
City in Bavaria, Germany
Overview
Wonfurt is a quaint, riverside village in Bavaria, Germany, known for its peaceful atmosphere and traditional charm. With under 2,000 residents, visitors can expect an authentic local experience surrounded by picturesque landscapes and welcoming communities.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
1,980
Time Zone
Europe/Berlin
Coordinates
50.02°, 10.47°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
92
Food Safety
97
Monthly Cost · estimate
$1,796
Local Cost
$1,100
Local Income
$2,250
Cashless
55
English
60
Temperature
9.1°C
Summer Avg
18.8°C
Winter Avg
-0.3°C
Record High
38.5°C
Record Low
-21.3°C
Humidity
81%
Precipitation
710 mm
Internet Speed
138 Mbps
Upload
15 Mbps
Latency
25 ms
City Vibrancy
8
Coworking
0
Cafes
2
Nightlife
1
Parks
5
Transport
3
Walk Score
3
Footways
6.0
Airport
KZG
Distance
36 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 2025-12-08.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.