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Chênehutte-Trèves-Cunault
City in Pays-de-la-Loire, France
Overview
Chênehutte-Trèves-Cunault is a tranquil riverside commune in the heart of the Loire Valley, celebrated for its stunning landscapes, historical abbeys, and charming stone villages. It's the perfect destination for travelers seeking authentic French countryside and UNESCO-listed heritage sites.
Geographic Context
Jurisdiction
France
Metropolitan Region
Pays-de-la-Loire
Population
—
Time Zone
Europe/Paris
Coordinates
47.31°, -0.16°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
78
Traffic Safety
87
Food Safety
94
Monthly Cost · estimate
$1,785
Local Cost
$1,150
Local Income
$1,850
Cashless
66
English
30
Temperature
11.7°C
Summer Avg
19.2°C
Winter Avg
4.6°C
Record High
41.3°C
Record Low
-12.2°C
Humidity
81%
Precipitation
705 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
11.0
Airport
ANE
Distance
30 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 2025-12-09.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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