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Bretenoux
City in Occitanie, France
Overview
Bretenoux is a quaint town in the Occitanie region of southwestern France, renowned for its medieval architecture and picturesque riverside setting. The town is an ideal destination for relaxation, cultural discovery, and access to the scenic Lot Valley.
Geographic Context
Jurisdiction
France
Metropolitan Region
Occitanie
Population
1,429
Time Zone
Europe/Paris
Coordinates
44.91°, 1.84°
Key Metrics
Safety Score · estimate
93
Female Safety
88
LGBTQ+ Safety
78
Traffic Safety
90
Food Safety
97
Monthly Cost · estimate
$1,617
Local Cost
$980
Local Income
$2,020
Cashless
60
English
35
Temperature
11.3°C
Summer Avg
19.6°C
Winter Avg
3.3°C
Record High
40.7°C
Record Low
-14.2°C
Humidity
78%
Precipitation
904 mm
Internet Speed
239 Mbps
Upload
215 Mbps
Latency
15 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
61
Walk Score
61
Footways
122.0
Airport
BVE
Distance
31 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. 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 2026-03-22.
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: 77/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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