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Immenreuth
City in Bavaria, Germany
Overview
Immenreuth is a picturesque Bavarian village set in the Tirschenreuth district, known for its serene countryside, traditional houses, and strong sense of community. The town offers a peaceful rural escape while still being well-connected to nearby cities via train.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
1,895
Time Zone
Europe/Berlin
Coordinates
49.90°, 11.87°
Key Metrics
Safety Score · estimate
93
Female Safety
89
LGBTQ+ Safety
73
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,513
Local Cost
$940
Local Income
$2,250
Cashless
65
English
62
Temperature
7.7°C
Summer Avg
17.5°C
Winter Avg
-1.8°C
Record High
36.7°C
Record Low
-24.6°C
Humidity
82%
Precipitation
753 mm
Internet Speed
87 Mbps
Upload
76 Mbps
Latency
7 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
BYU
Distance
19 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: 69/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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