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Gmünd
City in Lower Austria, Austria
Overview
Gmünd is a picturesque small town in Lower Austria, set on the Czech border. It is renowned for its tranquil natural surroundings, historic architecture, and outdoor recreation opportunities like walking and cycling.
Geographic Context
Jurisdiction
Austria
State
Lower Austria
Population
5,182
Time Zone
Europe/Vienna
Coordinates
48.77°, 14.98°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
78
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,590
Local Cost
$960
Local Income
$2,100
Cashless
67
English
57
Temperature
8.1°C
Summer Avg
18.2°C
Winter Avg
-1.9°C
Record High
36.2°C
Record Low
-27.7°C
Humidity
80%
Precipitation
680 mm
Internet Speed
137 Mbps
Upload
19 Mbps
Latency
10 ms
City Vibrancy
20
Coworking
0
Cafes
6
Nightlife
3
Parks
11
Transport
100
Walk Score
100
Footways
362.0
Airport
JCL
Distance
46 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 2025-12-07.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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