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Trachselwald

City in Bern, Switzerland

Overview

Trachselwald is a small, peaceful village set in the Swiss canton of Bern, renowned for its medieval castle and rolling countryside. The community offers a glimpse into traditional Swiss rural life, with local farms, historic buildings, and stunning vistas.

Geographic Context

Jurisdiction
Switzerland
Canton
Bern
Population
960
Time Zone
Europe/Zurich
Coordinates
47.02°, 7.74°

Key Metrics

Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
100
Monthly Cost · estimate
$2,395
Local Cost
$1,750
Local Income
$4,600
Cashless
80
English
65
Temperature
8.5°C
Summer Avg
17.4°C
Winter Avg
-0.3°C
Record High
34.1°C
Record Low
-19.7°C
Humidity
80%
Precipitation
1142 mm
Internet Speed
584 Mbps
Upload
63 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
10
Walk Score
10
Footways
19.0
Airport
BRN
Distance
22 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. 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 2026-03-23.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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