Münchenbernsdorf
City in Thuringia, Germany
Overview
Münchenbernsdorf is a charming small town set in Thuringia, Germany, known for its peaceful atmosphere, historic market square, and welcoming local community. Surrounded by rolling countryside, it's ideal for quiet getaways and outdoor exploration.
Geographic Context
Jurisdiction
Germany
Land
Thuringia
Population
2,902
Time Zone
Europe/Berlin
Coordinates
50.82°, 11.93°
Key Metrics
Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
75
Traffic Safety
80
Food Safety
97
Monthly Cost · estimate
$1,513
Local Cost
$907
Local Income
$2,300
Cashless
60
English
45
Temperature
9.1°C
Summer Avg
18.5°C
Winter Avg
-0.1°C
Record High
37.4°C
Record Low
-19.6°C
Humidity
80%
Precipitation
645 mm
Internet Speed
27 Mbps
Upload
20 Mbps
Latency
15 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
7
Walk Score
7
Footways
14.0
Airport
AOC
Distance
44 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.