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Bourg-Achard
City in Normandie, France
Overview
Bourg-Achard is a charming small town in Normandie, France, known for its relaxed pace, traditional Norman architecture, and proximity to Rouen. With a welcoming community and easy access to the countryside, it's an ideal base for exploring both rural and urban attractions of the region.
Geographic Context
Jurisdiction
France
Metropolitan Region
Normandie
Population
4,029
Time Zone
Europe/Paris
Coordinates
49.35°, 0.82°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,702
Local Cost
$1,022
Local Income
$1,900
Cashless
60
English
30
Temperature
10.9°C
Summer Avg
17.0°C
Winter Avg
4.8°C
Record High
35.3°C
Record Low
-8.6°C
Humidity
85%
Precipitation
776 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
98
Walk Score
98
Footways
196.0
Airport
URO
Distance
27 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 2025-12-07.
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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