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Pont-l’Abbé
City in Bretagne, France
Overview
Pont-l'Abbé is a picturesque small town in the heart of Bretagne, known for its lively weekly market, rich Breton culture, and charming riverside location. Its medieval streets, local crêperies, and proximity to the Atlantic coast make it an appealing base for exploring the region.
Geographic Context
Jurisdiction
France
Metropolitan Region
Bretagne
Population
—
Time Zone
Europe/Paris
Coordinates
47.87°, -4.22°
Key Metrics
Safety Score · estimate
91
Female Safety
90
LGBTQ+ Safety
83
Traffic Safety
89
Food Safety
98
Monthly Cost · estimate
$1,651
Local Cost
$1,018
Local Income
$1,930
Cashless
70
English
28
Temperature
12.4°C
Summer Avg
16.9°C
Winter Avg
8.2°C
Record High
30.8°C
Record Low
-3.6°C
Humidity
84%
Precipitation
933 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
211.0
Airport
UIP
Distance
12 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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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