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Troarn

City in Normandie, France

Overview

Troarn is a small, charming town in the Normandie region of France, celebrated for its tranquil rural setting, traditional Norman architecture, and lively community spirit. It offers visitors a taste of authentic French village life away from the typical tourist trails.

Geographic Context

Jurisdiction
France
Metropolitan Region
Normandie
Population
3,442
Time Zone
Europe/Paris
Coordinates
49.18°, -0.18°

Key Metrics

Safety Score · estimate
91
Female Safety
88
LGBTQ+ Safety
82
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$1,793
Local Cost
$1,180
Local Income
$2,100
Cashless
55
English
38
Temperature
10.8°C
Summer Avg
17.4°C
Winter Avg
4.4°C
Record High
39.5°C
Record Low
-11.2°C
Humidity
84%
Precipitation
714 mm
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
3
Parks
1
Transport
100
Walk Score
100
Footways
709.0
Airport
CFR
Distance
20 km

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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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