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Frankenfels
City in Lower Austria, Austria
Overview
Frankenfels is a picturesque village in Lower Austria, set in the valley of the Pielach river. Known for its lush surroundings, scenic trails, and friendly community, it offers a peaceful escape into the Austrian countryside.
Geographic Context
Jurisdiction
Austria
State
Lower Austria
Population
1,975
Time Zone
Europe/Vienna
Coordinates
47.98°, 15.33°
Key Metrics
Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
72
Traffic Safety
88
Food Safety
95
Monthly Cost · estimate
$1,449
Local Cost
$962
Local Income
$2,150
Cashless
63
English
60
Temperature
7.7°C
Summer Avg
17.3°C
Winter Avg
-1.9°C
Record High
36.7°C
Record Low
-23.3°C
Humidity
83%
Precipitation
967 mm
Internet Speed
157 Mbps
Upload
19 Mbps
Latency
6 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
2
Parks
0
Transport
7
Walk Score
7
Footways
14.0
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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