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Inzell
City in Bavaria, Germany
Overview
Inzell is a charming Bavarian village set in the foothills of the Alps, known for its stunning natural scenery and traditional hospitality. With sports facilities, beautiful trails, and authentic cuisine, it offers a relaxing alpine escape.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
4,986
Time Zone
Europe/Berlin
Coordinates
47.76°, 12.75°
Key Metrics
Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
88
Food Safety
97
Monthly Cost · estimate
$1,877
Local Cost
$1,212
Local Income
$2,500
Cashless
80
English
65
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
31 Mbps
Upload
5 Mbps
Latency
23 ms
City Vibrancy
11
Coworking
0
Cafes
4
Nightlife
6
Parks
1
Transport
25
Walk Score
25
Footways
49.0
Airport
SZG
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 2025-12-07.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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