Santa-Maria-Figaniella
City in Corse-du-Sud, France
Overview
Santa-Maria-Figaniella is a picturesque, tiny mountain village in Corse-du-Sud, France, boasting authentic Corsican charm and stunning valley views. With just over 80 residents, it offers tranquility, historical architecture, and easy access to nature trails.
Geographic Context
Jurisdiction
France
Metropolitan Department
Corse-du-Sud
Population
83
Time Zone
Europe/Paris
Coordinates
41.73°, 8.97°
Key Metrics
Safety Score · estimate
90
Female Safety
82
LGBTQ+ Safety
70
Traffic Safety
83
Food Safety
97
Monthly Cost · estimate
$1,695
Local Cost
$1,230
Local Income
$1,800
Cashless
45
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
10 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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.