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Dickerldorf
City in Upper Austria, Austria
Overview
Dickerldorf is a peaceful small town set in Upper Austria, offering scenic landscapes, traditional Austrian culture, and welcoming local charm. The town's blend of history, green spaces, and community events makes it ideal for those seeking an authentic, relaxing visit.
Geographic Context
Jurisdiction
Austria
State
Upper Austria
Population
—
Time Zone
Europe/Vienna
Coordinates
48.18°, 14.06°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$1,716
Local Cost
$1,090
Local Income
$2,000
Cashless
70
English
65
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
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
17
Walk Score
17
Footways
33.0
Airport
LNZ
Distance
12 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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