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Illschwang
City in Bavaria, Germany
Overview
Illschwang is a charming small town in the Bavarian countryside, set within rolling hills and forests. Known for its peaceful atmosphere and picturesque surroundings, it offers an authentic glimpse into rural German life.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
2,083
Time Zone
Europe/Berlin
Coordinates
49.45°, 11.68°
Key Metrics
Safety Score · estimate
94
Female Safety
92
LGBTQ+ Safety
85
Traffic Safety
93
Food Safety
100
Monthly Cost · estimate
$1,570
Local Cost
$990
Local Income
$2,600
Cashless
67
English
45
Temperature
8.5°C
Summer Avg
18.5°C
Winter Avg
-1.3°C
Record High
37.7°C
Record Low
-23.2°C
Humidity
80%
Precipitation
710 mm
Internet Speed
53 Mbps
Upload
26 Mbps
Latency
13 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
1
Parks
1
Transport
20
Walk Score
20
Footways
39.0
Airport
NUE
Distance
44 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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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