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Santa-Lucia-di-Mercurio
City in Haute-Corse, France
Overview
Santa-Lucia-di-Mercurio is a picturesque mountain village set in the heart of Haute-Corse, France, with just over a hundred residents. It offers serene landscapes, authentic Corsican culture, and peaceful rural life far from urban bustle.
Geographic Context
Jurisdiction
France
Metropolitan Department
Haute-Corse
Population
116
Time Zone
Europe/Paris
Coordinates
42.32°, 9.14°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
75
Food Safety
93
Monthly Cost · estimate
$1,711
Local Cost
$1,120
Local Income
$1,600
Cashless
30
English
35
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
32
Coworking
1
Cafes
11
Nightlife
17
Parks
3
Transport
1
Walk Score
1
Footways
1.0
Airport
CLY
Distance
37 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 2026-01-15.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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