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Baldramsdorf
City in Carinthia, Austria
Overview
Baldramsdorf is a quaint village in Carinthia, Austria, set between forested hills and open meadows. The town blends historic architecture, peaceful rural life, and easy access to hiking and cycling in the beautiful Drava river valley.
Geographic Context
Jurisdiction
Austria
State
Carinthia
Population
1,866
Time Zone
Europe/Vienna
Coordinates
46.80°, 13.45°
Key Metrics
Safety Score · estimate
93
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
92
Food Safety
97
Monthly Cost · estimate
$1,797
Local Cost
$1,043
Local Income
$2,350
Cashless
68
English
55
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
31 Mbps
Upload
7 Mbps
Latency
25 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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