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Salmsach
City in Thurgau, Switzerland
Overview
Salmsach is a charming village in Thurgau, Switzerland, set on the shores of Lake Constance. Known for its serene lakeside vistas, peaceful rural atmosphere, and friendly local community, it offers a perfect blend of nature and Swiss village life. Visitors enjoy tranquil scenery, hiking, and easy access to nearby towns.
Geographic Context
Jurisdiction
Switzerland
Canton
Thurgau
Population
1,457
Time Zone
Europe/Zurich
Coordinates
47.55°, 9.37°
Key Metrics
Safety Score · estimate
97
Female Safety
95
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
99
Monthly Cost · estimate
$2,525
Local Cost
$1,810
Local Income
$4,200
Cashless
85
English
65
Temperature
8.5°C
Summer Avg
17.5°C
Winter Avg
-0.8°C
Record High
32.6°C
Record Low
-23.2°C
Humidity
82%
Precipitation
1398 mm
Internet Speed
219 Mbps
Upload
138 Mbps
Latency
6 ms
City Vibrancy
20
Coworking
1
Cafes
3
Nightlife
3
Parks
13
Transport
100
Walk Score
100
Footways
420.0
Airport
ACH
Distance
16 km
Explore
Data sources
Source-backed data
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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