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Höslwang
City in Bavaria, Germany
Overview
Höslwang is a tranquil Bavarian village set between rolling hills, farmland, and lakes, offering a peaceful rural escape. It's ideal for nature lovers, with stunning countryside and classic Bavarian charm, yet is well connected for day trips to Chiemsee or Salzburg.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
1,258
Time Zone
Europe/Berlin
Coordinates
47.95°, 12.33°
Key Metrics
Safety Score · estimate
92
Female Safety
88
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,817
Local Cost
$1,050
Local Income
$2,300
Cashless
58
English
52
Temperature
8.5°C
Summer Avg
17.7°C
Winter Avg
-0.9°C
Record High
34.1°C
Record Low
-20.9°C
Humidity
83%
Precipitation
1181 mm
Internet Speed
3 Mbps
Upload
1 Mbps
Latency
24 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
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 2025-12-08.
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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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