Hägendorf
City in Solothurn, Switzerland
Overview
Hägendorf is a charming Swiss village set in the canton of Solothurn, renowned for its lush forests, hiking opportunities, and tranquil atmosphere. It's a peaceful destination that blends traditional Swiss living with easy access to beautiful nature, making it ideal for families or outdoor enthusiasts.
Geographic Context
Jurisdiction
Switzerland
Canton
Solothurn
Population
5,137
Time Zone
Europe/Zurich
Coordinates
47.33°, 7.84°
Key Metrics
Safety Score · estimate
92
Female Safety
92
LGBTQ+ Safety
84
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$2,695
Local Cost
$1,850
Local Income
$4,700
Cashless
90
English
78
Temperature
9.0°C
Summer Avg
17.9°C
Winter Avg
0.0°C
Record High
32.9°C
Record Low
-19.3°C
Humidity
83%
Precipitation
1164 mm
Internet Speed
255 Mbps
Upload
89 Mbps
Latency
9 ms
City Vibrancy
3
Coworking
0
Cafes
2
Nightlife
0
Parks
1
Transport
80
Walk Score
80
Footways
160.0
Airport
BSL;MLH;EAP
Distance
38 km
Explore
Data sources
Source-backed data
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: 83/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.