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Sankt Peter am Kammersberg
City in Styria, Austria
Overview
Sankt Peter am Kammersberg is a charming market town in the Murau district of Styria, Austria, set amidst rolling hills and scenic forests. It's known for its tranquil atmosphere, authentic rural culture, and easy access to hiking and nature activities.
Geographic Context
Jurisdiction
Austria
State
Styria
Population
2,043
Time Zone
Europe/Vienna
Coordinates
47.19°, 14.18°
Key Metrics
Safety Score · estimate
95
Female Safety
88
LGBTQ+ Safety
75
Traffic Safety
92
Food Safety
99
Monthly Cost · estimate
$1,518
Local Cost
$1,015
Local Income
$2,250
Cashless
60
English
55
Temperature
5.6°C
Summer Avg
15.2°C
Winter Avg
-4.0°C
Record High
31.7°C
Record Low
-26.0°C
Humidity
84%
Precipitation
1068 mm
Internet Speed
45 Mbps
Upload
21 Mbps
Latency
12 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
6.0
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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