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Villeneuve-sur-Lot
City in Nouvelle-Aquitaine, France
Overview
Villeneuve-sur-Lot is a charming town in Nouvelle-Aquitaine, famous for its well-preserved medieval architecture and picturesque setting along the Lot River. With a strong market culture, lively community, and plenty of green spaces, it offers a slice of authentic southwestern France life.
Geographic Context
Jurisdiction
France
Metropolitan Region
Nouvelle-Aquitaine
Population
22,004
Time Zone
Europe/Paris
Coordinates
44.41°, 0.70°
Key Metrics
Safety Score
80
Female Safety
76
LGBTQ+ Safety
75
Traffic Safety
82
Food Safety
95
Monthly Cost
$1,697
Local Cost
$982
Local Income
$1,700
Cashless
65
English
35
Temperature
13.2°C
Summer Avg
21.5°C
Winter Avg
5.1°C
Record High
42.5°C
Record Low
-11.7°C
Humidity
77%
Precipitation
713 mm
Internet Speed
337 Mbps
Upload
195 Mbps
Latency
14 ms
City Vibrancy
17
Coworking
2
Cafes
5
Nightlife
4
Parks
6
Transport
0
Walk Score
0
Footways
—
Airport
AGF
Distance
28 km
Explore
Neighborhoods
Mapped14 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 14 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 27 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 - 14 source-backed neighborhood entities are available for this city. Updated 2026-03-23.
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 78/100.
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