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Walchum
City in Lower Saxony, Germany
Overview
Walchum is a charming village in Lower Saxony, Germany, known for its lush landscapes, tranquil canals, and friendly small-town atmosphere. With a close-knit community and natural attractions like the Walchumer See, the village offers an authentic taste of rural German life.
Geographic Context
Jurisdiction
Germany
Land
Lower Saxony
Population
1,704
Time Zone
Europe/Berlin
Coordinates
52.93°, 7.28°
Key Metrics
Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$1,698
Local Cost
$1,020
Local Income
$2,350
Cashless
63
English
55
Temperature
9.6°C
Summer Avg
17.3°C
Winter Avg
2.2°C
Record High
35.5°C
Record Low
-17.7°C
Humidity
85%
Precipitation
771 mm
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
1
Parks
0
Transport
22
Walk Score
22
Footways
43.0
Airport
—
Distance
—
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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