Monacia-d'Aullène
City in Corse-du-Sud, France
Overview
Monacia-d'Aullène is a tranquil Corsican village in the southern part of the island, known for its rustic charm and proximity to both mountains and quiet Mediterranean beaches. Its small population keeps the ambiance local and authentic, making it a relaxing escape from tourist hotspots.
Geographic Context
Jurisdiction
France
Metropolitan Department
Corse-du-Sud
Population
546
Time Zone
Europe/Paris
Coordinates
41.52°, 8.84°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,845
Local Cost
$1,120
Local Income
$1,450
Cashless
50
English
25
Temperature
17.6°C
Summer Avg
23.7°C
Winter Avg
12.1°C
Record High
34.5°C
Record Low
3.7°C
Humidity
75%
Precipitation
617 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
PRP
Distance
16 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 2025-12-08.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.