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Bezirk Thal
City in Solothurn, Switzerland
Overview
Bezirk Thal is a district in the eastern part of the canton of Solothurn, Switzerland, comprising charming villages set in lush valleys and near the Jura Mountains. Renowned for its peaceful countryside, traditional Swiss culture, and abundant opportunities for outdoor activities, it's a haven for those seeking authenticity and serenity.
Geographic Context
Jurisdiction
Switzerland
Canton
Solothurn
Population
—
Time Zone
Europe/Zurich
Coordinates
47.31°, 7.64°
Key Metrics
Safety Score · estimate
95
Female Safety
92
LGBTQ+ Safety
90
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$2,670
Local Cost
$1,980
Local Income
$4,900
Cashless
92
English
80
Temperature
8.9°C
Summer Avg
17.8°C
Winter Avg
0.0°C
Record High
34.3°C
Record Low
-19.0°C
Humidity
83%
Precipitation
1061 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
8
Walk Score
8
Footways
15.0
Airport
BSL;MLH;EAP
Distance
34 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 85/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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