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Lamarche
City in Grand-Est, France
Overview
Lamarche is a small, idyllic town in the Vosges department of Grand-Est, France. Known for its storied past, tranquil rural landscapes, and friendly community, Lamarche is a peaceful introduction to authentic French country life.
Geographic Context
Jurisdiction
France
Metropolitan Region
Grand-Est
Population
814
Time Zone
Europe/Paris
Coordinates
48.07°, 5.78°
Key Metrics
Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,403
Local Cost
$912
Local Income
$1,800
Cashless
40
English
20
Temperature
9.6°C
Summer Avg
18.0°C
Winter Avg
1.3°C
Record High
38.5°C
Record Low
-16.7°C
Humidity
83%
Precipitation
841 mm
Internet Speed
90 Mbps
Upload
61 Mbps
Latency
12 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
1
Parks
1
Transport
18
Walk Score
18
Footways
35.0
Airport
EPL
Distance
35 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.
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