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Padergnone
City in Trentino-South Tyrol, Italy
Overview
Padergnone is a quaint village in Trentino-South Tyrol, set among mountains and lakes. With rich local traditions and a peaceful pace, it's perfect for those seeking authentic rural Italian life and scenic landscapes.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Trentino-South Tyrol
Population
714
Time Zone
Europe/Rome
Coordinates
46.06°, 10.98°
Key Metrics
Safety Score · estimate
93
Female Safety
88
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
97
Monthly Cost · estimate
$1,705
Local Cost
$1,080
Local Income
$1,750
Cashless
55
English
40
Temperature
7.6°C
Summer Avg
17.2°C
Winter Avg
-2.1°C
Record High
35.5°C
Record Low
-20.1°C
Humidity
78%
Precipitation
990 mm
Internet Speed
148 Mbps
Upload
114 Mbps
Latency
9 ms
City Vibrancy
9
Coworking
0
Cafes
3
Nightlife
2
Parks
4
Transport
27
Walk Score
27
Footways
54.0
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 2026-03-23.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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