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Noasca
City in Piedmont, Italy
Overview
Noasca is a serene mountain village in Piedmont, Italy, set at the foot of Gran Paradiso National Park. With a tiny population, it offers a peaceful retreat amidst breathtaking alpine landscapes, famed for hiking, wildlife and genuine local hospitality.
Geographic Context
Jurisdiction
Italy
Region
Piedmont
Population
108
Time Zone
Europe/Rome
Coordinates
45.45°, 7.31°
Key Metrics
Safety Score · estimate
95
Female Safety
88
LGBTQ+ Safety
65
Traffic Safety
92
Food Safety
87
Monthly Cost · estimate
$1,507
Local Cost
$928
Local Income
$1,200
Cashless
38
English
35
Temperature
5.7°C
Summer Avg
15.1°C
Winter Avg
-3.6°C
Record High
30.4°C
Record Low
-23.3°C
Humidity
73%
Precipitation
843 mm
Internet Speed
76 Mbps
Upload
46 Mbps
Latency
27 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
7
Walk Score
7
Footways
14.0
Airport
AOT
Distance
32 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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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