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Pau

City in Nouvelle-Aquitaine, France

Overview

Pau is a scenic city in the foothills of the Pyrenees, known for its stunning views, historic château, and lively cultural life. It combines the charm of southwestern France with a relaxed pace, lush public gardens, and easy access to mountain adventures.

Geographic Context

Jurisdiction
France
Metropolitan Region
Nouvelle-Aquitaine
Population
78,620
Time Zone
Europe/Paris
Coordinates
43.30°, -0.37°

Key Metrics

Safety Score
85
Female Safety
80
LGBTQ+ Safety
80
Traffic Safety
75
Food Safety
95
Monthly Cost
$1,727
Local Cost
$1,052
Local Income
$1,900
Cashless
65
English
50
Temperature
13.5°C
Summer Avg
20.9°C
Winter Avg
6.3°C
Record High
43.0°C
Record Low
-10.8°C
Humidity
78%
Precipitation
961 mm
Internet Speed
282 Mbps
Upload
250 Mbps
Latency
13 ms
City Vibrancy
175
Coworking
7
Cafes
47
Nightlife
65
Parks
56
Transport
0
Walk Score
0
Footways
Airport
PUF
Distance
10 km

Neighborhoods

Mapped

15 neighborhoods sourced from Overture Maps and OpenStreetMap.

View all 15 neighborhoods

Frequently 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 121 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 - 15 source-backed neighborhood entities are available for this city. Updated 2026-04-04.

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 82/100.

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