Schlatt

City in Upper Austria, Austria

Overview

Schlatt is a picturesque small town in Upper Austria, known for its rural charm, close-knit community, and serene natural landscapes. With historic buildings and surrounding meadows, it's ideal for travelers seeking peace and authentic Austrian culture.

Geographic Context

Jurisdiction
Austria
State
Upper Austria
Population
1,399
Time Zone
Europe/Vienna
Coordinates
48.07°, 13.79°

Key Metrics

Safety Score · estimate
87
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,517
Local Cost
$1,040
Local Income
$2,200
Cashless
65
English
60
Temperature
8.2°C
Summer Avg
17.7°C
Winter Avg
-1.4°C
Record High
35.8°C
Record Low
-21.6°C
Humidity
83%
Precipitation
1257 mm
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
0
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
LNZ
Distance
35 km

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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.