Sense District
City in Fribourg, Switzerland
Overview
Sense District, situated in the canton of Fribourg, Switzerland, blends picturesque countryside with charming villages and small towns. Its lush valleys, historic churches, and tranquil atmosphere make it ideal for families, nature lovers, and those seeking authentic Swiss living. The region offers a refreshing escape from city crowds while maintaining good access to nearby urban centers.
Geographic Context
Jurisdiction
Switzerland
Canton
Fribourg
Population
46,081
Time Zone
Europe/Zurich
Coordinates
46.80°, 7.26°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
94
Food Safety
98
Monthly Cost · estimate
$3,180
Local Cost
$2,140
Local Income
$3,900
Cashless
93
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BRN
Distance
22 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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.