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Sées
City in Normandie, France
Overview
Sées is a quaint town in Normandie, France, renowned for its impressive Gothic cathedral and peaceful rural setting. Visitors enjoy its historical charm, traditional bakeries, and easy access to the surrounding countryside.
Geographic Context
Jurisdiction
France
Metropolitan Region
Normandie
Population
4,182
Time Zone
Europe/Paris
Coordinates
48.60°, 0.17°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,531
Local Cost
$1,030
Local Income
$1,700
Cashless
60
English
35
Temperature
10.5°C
Summer Avg
17.4°C
Winter Avg
3.8°C
Record High
39.0°C
Record Low
-12.0°C
Humidity
84%
Precipitation
721 mm
Internet Speed
440 Mbps
Upload
402 Mbps
Latency
10 ms
City Vibrancy
14
Coworking
0
Cafes
4
Nightlife
1
Parks
9
Transport
100
Walk Score
100
Footways
1089.0
Airport
—
Distance
—
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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