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Angrogna
City in Piedmont, Italy
Overview
Angrogna is a small mountain village set in the Piedmont Alps, known for its tranquil landscapes, Waldensian heritage, and traditional Italian charm. With under 1,000 residents, this hidden gem is perfect for travelers seeking authenticity, peace, and hiking opportunities.
Geographic Context
Jurisdiction
Italy
Region
Piedmont
Population
810
Time Zone
Europe/Rome
Coordinates
44.84°, 7.22°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,743
Local Cost
$922
Local Income
$1,100
Cashless
35
English
25
Temperature
11.2°C
Summer Avg
20.9°C
Winter Avg
1.8°C
Record High
37.8°C
Record Low
-14.9°C
Humidity
68%
Precipitation
777 mm
Internet Speed
255 Mbps
Upload
141 Mbps
Latency
11 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
CUF
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 2025-12-08.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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