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Melchow
City in Brandenburg, Germany
Overview
Melchow is a charming rural village in Brandenburg with a strong community feel and picturesque surroundings. Known for its forests, historic church, and easy access to Berlin via train, it blends traditional German village life with modern conveniences.
Geographic Context
Jurisdiction
Germany
Land
Brandenburg
Population
1,084
Time Zone
Europe/Berlin
Coordinates
52.78°, 13.71°
Key Metrics
Safety Score · estimate
87
Female Safety
83
LGBTQ+ Safety
78
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,530
Local Cost
$1,040
Local Income
$2,100
Cashless
65
English
60
Temperature
9.2°C
Summer Avg
18.9°C
Winter Avg
-0.1°C
Record High
37.4°C
Record Low
-25.4°C
Humidity
81%
Precipitation
607 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
11.0
Airport
BER
Distance
48 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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