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Saint-Clément-de-Rivière
City in Occitanie, France
Overview
Saint-Clément-de-Rivière is a tranquil commune in the Occitanie region, just north of Montpellier. Surrounded by greenery and vineyards, it offers a charming village atmosphere, ideal for those seeking authentic southern French living and outdoor recreation.
Geographic Context
Jurisdiction
France
Metropolitan Region
Occitanie
Population
5,140
Time Zone
Europe/Paris
Coordinates
43.68°, 3.83°
Key Metrics
Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
76
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$2,152
Local Cost
$1,370
Local Income
$2,050
Cashless
72
English
48
Temperature
15.1°C
Summer Avg
23.5°C
Winter Avg
7.5°C
Record High
41.1°C
Record Low
-6.5°C
Humidity
72%
Precipitation
574 mm
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
12
Walk Score
12
Footways
23.0
Airport
MPL
Distance
16 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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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