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Krispl
City in Salzburg, Austria
Overview
Krispl is a charming Alpine village in the Salzburg region, known for its scenic landscapes, outdoor activities, and tranquil pace of life. With a population under 1,000, it offers a genuine Austrian countryside experience perfect for escaping the bustle of bigger cities.
Geographic Context
Jurisdiction
Austria
State
Salzburg
Population
889
Time Zone
Europe/Vienna
Coordinates
47.72°, 13.18°
Key Metrics
Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
100
Monthly Cost · estimate
$2,100
Local Cost
$1,210
Local Income
$2,200
Cashless
60
English
65
Temperature
5.4°C
Summer Avg
14.7°C
Winter Avg
-3.9°C
Record High
37.0°C
Record Low
-27.1°C
Humidity
84%
Precipitation
1426 mm
Internet Speed
19 Mbps
Upload
5 Mbps
Latency
25 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
SZG
Distance
16 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 2026-03-23.
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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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