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Clermont-Ferrand
City in Auvergne-Rhône-Alpes, France
Overview
Clermont-Ferrand is a lively city in central France, surrounded by volcanic mountains and rich with medieval history. It's renowned for its black lava-stone architecture, lively student population, and as the gateway to the Auvergne's natural wonders.
Geographic Context
Jurisdiction
France
Metropolitan Region
Auvergne-Rhône-Alpes
Population
147,751
Time Zone
Europe/Paris
Coordinates
45.78°, 3.09°
Key Metrics
Safety Score
85
Female Safety
83
LGBTQ+ Safety
81
Traffic Safety
76
Food Safety
97
Monthly Cost
$1,923
Local Cost
$1,205
Local Income
$1,880
Cashless
80
English
44
Temperature
10.4°C
Summer Avg
19.1°C
Winter Avg
2.3°C
Record High
39.6°C
Record Low
-15.5°C
Humidity
78%
Precipitation
700 mm
Internet Speed
503 Mbps
Upload
372 Mbps
Latency
12 ms
City Vibrancy
228
Coworking
2
Cafes
80
Nightlife
99
Parks
47
Transport
0
Walk Score
0
Footways
—
Airport
CFE
Distance
7 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 44 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 2026-03-21.
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 81/100.
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