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Salon-de-Provence
City in Provence-Alpes-Côte-d’Azur, France
Overview
Salon-de-Provence is a picturesque town in southern France known for its medieval heritage, traditional soap-making, and lively cultural scene. Visitors enjoy historic streets, Provençal markets, and stunning architecture at the city's heart.
Geographic Context
Jurisdiction
France
Metropolitan Region
Provence-Alpes-Côte-d’Azur
Population
44,553
Time Zone
Europe/Paris
Coordinates
43.64°, 5.09°
Key Metrics
Safety Score
79
Female Safety
78
LGBTQ+ Safety
72
Traffic Safety
82
Food Safety
93
Monthly Cost
$2,024
Local Cost
$1,272
Local Income
$2,200
Cashless
73
English
41
Temperature
15.6°C
Summer Avg
23.8°C
Winter Avg
7.9°C
Record High
39.3°C
Record Low
-7.0°C
Humidity
72%
Precipitation
530 mm
Internet Speed
413 Mbps
Upload
320 Mbps
Latency
11 ms
City Vibrancy
48
Coworking
0
Cafes
13
Nightlife
16
Parks
19
Transport
0
Walk Score
0
Footways
—
Airport
MRS
Distance
25 km
Explore
Neighborhoods
Mapped30 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 30 neighborhoodsFrequently 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 23 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 30 source-backed neighborhood entities are available for this city. Updated 2026-03-22.
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 76/100.
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