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Sankt Martin bei Lofer
City in Salzburg, Austria
Overview
Sankt Martin bei Lofer is a charming alpine village set in the Salzburg region, known for its stunning mountain scenery, friendly locals, and authentic Austrian rural atmosphere. It offers both adventure and relaxation with easy access to hiking, skiing, and tranquil nature.
Geographic Context
Jurisdiction
Austria
State
Salzburg
Population
1,153
Time Zone
Europe/Vienna
Coordinates
47.57°, 12.70°
Key Metrics
Safety Score · estimate
93
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
88
Food Safety
97
Monthly Cost · estimate
$1,855
Local Cost
$1,170
Local Income
$2,100
Cashless
60
English
65
Temperature
5.1°C
Summer Avg
14.2°C
Winter Avg
-4.3°C
Record High
31.4°C
Record Low
-29.0°C
Humidity
85%
Precipitation
1454 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
18
Walk Score
18
Footways
35.0
Airport
SZG
Distance
34 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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