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Pernes-les-Fontaines
City in Provence-Alpes-Côte-d’Azur, France
Overview
Pernes-les-Fontaines is a picturesque small town in Provence, renowned for its 40+ historic fountains and medieval architecture. Set amongst rolling vineyards and quiet countryside, it offers a tranquil yet culturally rich escape.
Geographic Context
Jurisdiction
France
Metropolitan Region
Provence-Alpes-Côte-d’Azur
Population
10,433
Time Zone
Europe/Paris
Coordinates
44.00°, 5.06°
Key Metrics
Safety Score
88
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
80
Food Safety
92
Monthly Cost
$1,916
Local Cost
$1,240
Local Income
$2,100
Cashless
60
English
35
Temperature
13.6°C
Summer Avg
23.4°C
Winter Avg
4.7°C
Record High
43.6°C
Record Low
-11.6°C
Humidity
70%
Precipitation
636 mm
Internet Speed
183 Mbps
Upload
150 Mbps
Latency
10 ms
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
2
Parks
1
Transport
74
Walk Score
74
Footways
148.0
Airport
AVN
Distance
16 km
Explore
Neighborhoods
Mapped100 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 100 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 47 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.
Overture Maps and OpenStreetMap - 100 source-backed neighborhood entities are available for this city. Updated 2026-03-26.
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 72/100.
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