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Saint-Fiacre-sur-Maine
City in Pays-de-la-Loire, France
Overview
Saint-Fiacre-sur-Maine is a quaint wine-growing village set just south of Nantes, celebrated for its Muscadet vineyards and tranquil river views. With a blend of rural charm and easy access to nature, the town is ideal for peaceful getaways and wine tourism. The friendly community and scenic surroundings make it perfect for slow travel.
Geographic Context
Jurisdiction
France
Metropolitan Region
Pays-de-la-Loire
Population
1,246
Time Zone
Europe/Paris
Coordinates
47.14°, -1.42°
Key Metrics
Safety Score · estimate
88
Female Safety
80
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,465
Local Cost
$1,042
Local Income
$1,850
Cashless
60
English
30
Temperature
11.8°C
Summer Avg
18.4°C
Winter Avg
5.4°C
Record High
37.3°C
Record Low
-11.2°C
Humidity
83%
Precipitation
799 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
9
Walk Score
9
Footways
18.0
Airport
NTE
Distance
15 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 2026-03-22.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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