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Marcamps
City in Nouvelle-Aquitaine, France
Overview
Marcarps is a picturesque village set in the Nouvelle-Aquitaine region, surrounded by vineyards and the scenic Dordogne River. Its tranquil streets, historical buildings, and proximity to Bordeaux make it an ideal escape for lovers of rural France.
Geographic Context
Jurisdiction
France
Metropolitan Region
Nouvelle-Aquitaine
Population
—
Time Zone
Europe/Paris
Coordinates
45.04°, -0.49°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$1,842
Local Cost
$1,210
Local Income
$1,750
Cashless
60
English
35
Temperature
13.4°C
Summer Avg
20.8°C
Winter Avg
6.1°C
Record High
41.9°C
Record Low
-10.6°C
Humidity
78%
Precipitation
748 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
10.0
Airport
BOD
Distance
29 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 2026-03-22.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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