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Oberhofen im Inntal
City in Tyrol, Austria
Overview
Oberhofen im Inntal is a charming Alpine village set in the Tyrolean mountains of Austria. Known for its friendly locals and breathtaking nature, it provides an ideal base for hiking, cycling, and exploring the Inn Valley.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
1,902
Time Zone
Europe/Vienna
Coordinates
47.30°, 11.10°
Key Metrics
Safety Score · estimate
92
Female Safety
86
LGBTQ+ Safety
78
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,943
Local Cost
$1,210
Local Income
$2,150
Cashless
76
English
70
Temperature
5.7°C
Summer Avg
14.8°C
Winter Avg
-3.6°C
Record High
34.7°C
Record Low
-29.1°C
Humidity
83%
Precipitation
1347 mm
Internet Speed
141 Mbps
Upload
53 Mbps
Latency
9 ms
City Vibrancy
17
Coworking
0
Cafes
10
Nightlife
4
Parks
3
Transport
20
Walk Score
20
Footways
39.0
Airport
INN
Distance
20 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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