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Nevers
City in Bourgogne-Franche-Comté, France
Overview
Nevers is a charming town in Bourgogne-Franche-Comté renowned for its rich history, medieval architecture, and distinctive blue pottery. With the Loire River running through it, the city offers a blend of scenic beauty, cultural gems, and a relaxed atmosphere.
Geographic Context
Jurisdiction
France
Metropolitan Region
Bourgogne-Franche-Comté
Population
33,172
Time Zone
Europe/Paris
Coordinates
46.99°, 3.16°
Key Metrics
Safety Score
78
Female Safety
75
LGBTQ+ Safety
70
Traffic Safety
82
Food Safety
98
Monthly Cost
$1,648
Local Cost
$984
Local Income
$1,700
Cashless
70
English
43
Temperature
11.0°C
Summer Avg
19.2°C
Winter Avg
3.0°C
Record High
41.4°C
Record Low
-13.0°C
Humidity
81%
Precipitation
759 mm
Internet Speed
301 Mbps
Upload
259 Mbps
Latency
23 ms
City Vibrancy
57
Coworking
1
Cafes
11
Nightlife
26
Parks
19
Transport
0
Walk Score
0
Footways
—
Airport
NVS
Distance
4 km
Explore
Neighborhoods
Mapped9 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 9 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 - 9 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 72/100.
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