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Esch
City in Salzburg, Austria
Overview
Esch is a charming small town set in the Salzburg region of Austria, known for its picturesque landscapes and genuine local atmosphere. While it may be less touristy than nearby Salzburg, Esch offers visitors a peaceful escape with rich Austrian traditions, friendly locals, and direct access to nature.
Geographic Context
Jurisdiction
Austria
State
Salzburg
Population
—
Time Zone
Europe/Vienna
Coordinates
47.84°, 13.09°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$2,032
Local Cost
$1,230
Local Income
$2,600
Cashless
75
English
70
Temperature
8.7°C
Summer Avg
18.1°C
Winter Avg
-0.7°C
Record High
35.0°C
Record Low
-21.0°C
Humidity
83%
Precipitation
1262 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
SZG
Distance
8 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 2025-12-09.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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