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Kruth

City in Grand-Est, France

Overview

Kruth is a charming village located in the Grand-Est region, set amidst the picturesque Vosges Mountains and famous for its tranquil lake and access to nature. With a small, friendly community and a peaceful atmosphere, Kruth is ideal for those seeking relaxation and outdoor adventure away from busy cities.

Geographic Context

Jurisdiction
France
Metropolitan Region
Grand-Est
Population
883
Time Zone
Europe/Paris
Coordinates
47.93°, 6.96°

Key Metrics

Safety Score · estimate
92
Female Safety
88
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,704
Local Cost
$1,118
Local Income
$1,700
Cashless
60
English
35
Temperature
9.0°C
Summer Avg
17.7°C
Winter Avg
0.4°C
Record High
38.3°C
Record Low
-18.0°C
Humidity
83%
Precipitation
931 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
10
Walk Score
10
Footways
19.0
Airport
CMR
Distance
35 km

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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