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Eschlkam
City in Bavaria, Germany
Overview
Eschlkam is a quaint Bavarian town set near the German-Czech border, renowned for its scenic landscapes and welcoming community. Its historic architecture and proximity to nature make it an idyllic spot for relaxation and outdoor activities.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
3,337
Time Zone
Europe/Berlin
Coordinates
49.30°, 12.92°
Key Metrics
Safety Score · estimate
95
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,645
Local Cost
$960
Local Income
$2,100
Cashless
60
English
55
Temperature
7.8°C
Summer Avg
17.7°C
Winter Avg
-1.9°C
Record High
36.4°C
Record Low
-25.1°C
Humidity
82%
Precipitation
775 mm
Internet Speed
40 Mbps
Upload
24 Mbps
Latency
19 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
—
Distance
—
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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