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Obermillstatt
City in Carinthia, Austria
Overview
Obermillstatt is a picturesque Alpine village perched above Millstätter See in Carinthia, Austria, home to just under 600 inhabitants. The village offers serene landscapes, traditional Austrian charm, and excellent access to hiking, swimming, and cultural sites.
Geographic Context
Jurisdiction
Austria
State
Carinthia
Population
577
Time Zone
Europe/Vienna
Coordinates
46.81°, 13.59°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
97
Monthly Cost · estimate
$1,883
Local Cost
$1,140
Local Income
$1,900
Cashless
70
English
65
Temperature
3.9°C
Summer Avg
13.2°C
Winter Avg
-5.7°C
Record High
29.9°C
Record Low
-29.3°C
Humidity
85%
Precipitation
1172 mm
Internet Speed
53 Mbps
Upload
13 Mbps
Latency
22 ms
City Vibrancy
26
Coworking
0
Cafes
7
Nightlife
3
Parks
16
Transport
1
Walk Score
1
Footways
2.0
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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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