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Sitzendorf an der Schmida
City in Lower Austria, Austria
Overview
Sitzendorf an der Schmida is a charming small town in Lower Austria, characterized by its peaceful countryside setting and rich agricultural traditions. It offers visitors a glimpse into authentic rural Austrian life with its vineyards, historic sites, and friendly community.
Geographic Context
Jurisdiction
Austria
State
Lower Austria
Population
2,162
Time Zone
Europe/Vienna
Coordinates
48.60°, 15.94°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$1,435
Local Cost
$950
Local Income
$2,050
Cashless
68
English
55
Temperature
9.8°C
Summer Avg
20.4°C
Winter Avg
-0.7°C
Record High
37.9°C
Record Low
-27.4°C
Humidity
77%
Precipitation
659 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
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: 76/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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