Missen-Wilhams
City in Bavaria, Germany
Overview
Missen-Wilhams is a charming Bavarian alpine village set in the picturesque landscapes of the Allgäu region. Known for its mix of traditional farms, idyllic countryside, and friendly local atmosphere, it's the perfect base for outdoor and nature enthusiasts.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
1,540
Time Zone
Europe/Berlin
Coordinates
47.60°, 10.12°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,773
Local Cost
$1,020
Local Income
$2,200
Cashless
65
English
55
Temperature
6.9°C
Summer Avg
15.8°C
Winter Avg
-2.3°C
Record High
30.9°C
Record Low
-25.8°C
Humidity
83%
Precipitation
1405 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
HOH
Distance
39 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.