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Cogolin

City in Provence-Alpes-Côte-d’Azur, France

Overview

Cogolin is a picturesque Provencal town set between the lush Maures hills and the Mediterranean coast. Renowned for its craft heritage and friendly atmosphere, the city offers both authentic French charm and easy access to the glamour of Saint-Tropez. Its traditional streets, marina, and welcoming locals make it an inviting base for exploring the Côte d'Azur.

Geographic Context

Jurisdiction
France
Metropolitan Region
Provence-Alpes-Côte-d’Azur
Population
12,076
Time Zone
Europe/Paris
Coordinates
43.25°, 6.53°

Key Metrics

Safety Score
78
Female Safety
76
LGBTQ+ Safety
82
Traffic Safety
77
Food Safety
95
Monthly Cost
$2,661
Local Cost
$1,541
Local Income
$2,100
Cashless
74
English
32
Temperature
14.2°C
Summer Avg
23.7°C
Winter Avg
5.8°C
Record High
41.1°C
Record Low
-6.8°C
Humidity
69%
Precipitation
627 mm
Internet Speed
318 Mbps
Upload
185 Mbps
Latency
7 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
100
Walk Score
100
Footways
302.0
Airport
LTT
Distance
7 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 11 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 60/100.

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