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Cantalupa
City in Piedmont, Italy
Overview
Cantalupa is a peaceful village set in the foothills of the Cottian Alps in Piedmont, Italy. With just over 500 residents, it offers an authentic slice of Italian life, excellent access to nature, and a welcoming community atmosphere.
Geographic Context
Jurisdiction
Italy
Region
Piedmont
Population
551
Time Zone
Europe/Rome
Coordinates
44.95°, 7.33°
Key Metrics
Safety Score · estimate
90
Female Safety
86
LGBTQ+ Safety
72
Traffic Safety
83
Food Safety
98
Monthly Cost · estimate
$1,650
Local Cost
$1,110
Local Income
$1,600
Cashless
45
English
28
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
139 Mbps
Upload
74 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
7
Walk Score
7
Footways
13.0
Airport
TRN
Distance
38 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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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