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Münchwilen District
City in Thurgau, Switzerland
Overview
Münchwilen District, located in Thurgau, Switzerland, is a picturesque region of small towns and villages, offering a blend of rural tranquility and Swiss efficiency. The district is known for its friendly communities, scenic landscapes, and easy access to both nature and urban services.
Geographic Context
Jurisdiction
Switzerland
Canton
Thurgau
Population
48,285
Time Zone
Europe/Zurich
Coordinates
47.47°, 8.99°
Key Metrics
Safety Score · estimate
91
Female Safety
88
LGBTQ+ Safety
82
Traffic Safety
86
Food Safety
98
Monthly Cost · estimate
$2,908
Local Cost
$1,910
Local Income
$4,100
Cashless
92
English
78
Temperature
9.0°C
Summer Avg
18.0°C
Winter Avg
-0.1°C
Record High
33.5°C
Record Low
-20.8°C
Humidity
83%
Precipitation
1311 mm
Internet Speed
69 Mbps
Upload
126 Mbps
Latency
11 ms
City Vibrancy
23
Coworking
1
Cafes
4
Nightlife
4
Parks
14
Transport
0
Walk Score
0
Footways
—
Airport
ZRH
Distance
33 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 83/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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