Valle-d'Alesani
City in Haute-Corse, France
Overview
Valle-d'Alesani is a peaceful mountain village set in the Alesani valley of Haute-Corse, France. With just over a hundred residents, it's famed for its stunning landscapes, traditional stone houses, and authentic Corsican culture. Visitors come for tranquility, hiking, and panoramic views.
Geographic Context
Jurisdiction
France
Metropolitan Department
Haute-Corse
Population
118
Time Zone
Europe/Paris
Coordinates
42.33°, 9.35°
Key Metrics
Safety Score · estimate
93
Female Safety
80
LGBTQ+ Safety
75
Traffic Safety
88
Food Safety
95
Monthly Cost · estimate
$1,748
Local Cost
$1,080
Local Income
$1,650
Cashless
35
English
25
Temperature
16.0°C
Summer Avg
24.5°C
Winter Avg
8.5°C
Record High
37.1°C
Record Low
-2.3°C
Humidity
70%
Precipitation
640 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BIA
Distance
28 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-23.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.