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Steinhöfel
City in Brandenburg, Germany
Overview
Steinhöfel is a tranquil rural town in Brandenburg, Germany, known for its stately manor house, charming historical villages, scenic countryside, and small lakes. It offers visitors a peaceful retreat with authentic German village atmosphere and opportunities for outdoor activities.
Geographic Context
Jurisdiction
Germany
Land
Brandenburg
Population
4,510
Time Zone
Europe/Berlin
Coordinates
52.40°, 14.17°
Key Metrics
Safety Score · estimate
88
Female Safety
83
LGBTQ+ Safety
72
Traffic Safety
87
Food Safety
98
Monthly Cost · estimate
$1,345
Local Cost
$790
Local Income
$2,450
Cashless
62
English
40
Temperature
9.5°C
Summer Avg
19.6°C
Winter Avg
-0.2°C
Record High
38.1°C
Record Low
-25.3°C
Humidity
80%
Precipitation
603 mm
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
30
Walk Score
30
Footways
60.0
Airport
BER
Distance
46 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 2025-12-07.
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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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