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Rechenberg-Bienenmühle

City in Saxony, Germany

Overview

Rechenberg-Bienenmühle is a small, picturesque village in the Ore Mountains of Saxony, known for its medieval charm, historic breweries, and access to nature. The town offers authentic rural Saxon culture amidst forests, ski slopes, and well-preserved architecture.

Geographic Context

Jurisdiction
Germany
Land
Saxony
Population
1,811
Time Zone
Europe/Berlin
Coordinates
50.74°, 13.54°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
62
Traffic Safety
88
Food Safety
95
Monthly Cost · estimate
$1,462
Local Cost
$862
Local Income
$1,950
Cashless
54
English
55
Temperature
8.1°C
Summer Avg
18.2°C
Winter Avg
-1.7°C
Record High
37.0°C
Record Low
-23.5°C
Humidity
81%
Precipitation
628 mm
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
11
Walk Score
11
Footways
21.0
Airport
DRS
Distance
47 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 2026-03-22.
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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