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Hénanbihen
City in Bretagne, France
Overview
Hénanbihen is a quaint rural commune in Brittany, France, known for its peaceful atmosphere, historical heritage, and lush countryside. It's perfect for visitors seeking relaxation amid traditional Breton charm.
Geographic Context
Jurisdiction
France
Metropolitan Region
Bretagne
Population
1,429
Time Zone
Europe/Paris
Coordinates
48.56°, -2.38°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,732
Local Cost
$1,055
Local Income
$1,800
Cashless
70
English
35
Temperature
11.5°C
Summer Avg
16.9°C
Winter Avg
6.4°C
Record High
35.0°C
Record Low
-5.0°C
Humidity
84%
Precipitation
745 mm
Internet Speed
10 Mbps
Upload
1 Mbps
Latency
16 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
23
Walk Score
23
Footways
45.0
Airport
DNR
Distance
22 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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