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Sablé-sur-Sarthe

City in Pays-de-la-Loire, France

Overview

Sablé-sur-Sarthe is a charming small town set on the banks of the Sarthe River in western France. Renowned for its picturesque scenery, historic sites, and as the birthplace of the famous Sablé biscuit, it offers a pleasant blend of tradition and tranquility. Local markets, riverside promenades, and nearby rural landscapes make it a favorite for those seeking an authentic French experience.

Geographic Context

Jurisdiction
France
Metropolitan Region
Pays-de-la-Loire
Population
12,194
Time Zone
Europe/Paris
Coordinates
47.84°, -0.33°

Key Metrics

Safety Score
85
Female Safety
82
LGBTQ+ Safety
78
Traffic Safety
77
Food Safety
96
Monthly Cost
$1,812
Local Cost
$1,048
Local Income
$1,750
Cashless
61
English
42
Temperature
11.2°C
Summer Avg
18.1°C
Winter Avg
4.5°C
Record High
37.6°C
Record Low
-11.7°C
Humidity
83%
Precipitation
722 mm
Internet Speed
63 Mbps
Upload
23 Mbps
Latency
36 ms
City Vibrancy
12
Coworking
0
Cafes
0
Nightlife
10
Parks
2
Transport
100
Walk Score
100
Footways
318.0
Airport
ANE
Distance
31 km

Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Frequently Asked Questions

Data sources

Source-backed data

NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.

Estimated data

Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 75/100.

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