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Simbach
City in Bavaria, Germany
Overview
Simbach is a tiny Bavarian village with a charming rural atmosphere, located amidst rolling green fields and hills. With only 54 residents, Simbach offers visitors an authentic glimpse of tranquil village life and close-knit community hospitality.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
54
Time Zone
Europe/Berlin
Coordinates
48.57°, 12.74°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
100
Monthly Cost · estimate
$1,372
Local Cost
$870
Local Income
$2,300
Cashless
60
English
55
Temperature
8.7°C
Summer Avg
18.2°C
Winter Avg
-0.9°C
Record High
32.9°C
Record Low
-24.0°C
Humidity
83%
Precipitation
881 mm
Internet Speed
107 Mbps
Upload
43 Mbps
Latency
9 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
1
Parks
1
Transport
20
Walk Score
20
Footways
39.0
Airport
RBM
Distance
41 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 2025-12-09.
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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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