Wiesentheid
City in Bavaria, Germany
Overview
Wiesentheid is a picturesque town in Bavaria, Germany, known for its Baroque architecture, beautiful palace, and traditional Franconian charm. The city offers a peaceful rural atmosphere, scenic parks, and easy access to the wine country.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
4,992
Time Zone
Europe/Berlin
Coordinates
49.79°, 10.35°
Key Metrics
Safety Score · estimate
85
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,753
Local Cost
$1,050
Local Income
$2,200
Cashless
50
English
55
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
100 Mbps
Upload
39 Mbps
Latency
12 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
15
Walk Score
15
Footways
30.0
Airport
KZG
Distance
11 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.