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Cervasca
City in Piedmont, Italy
Overview
Cervasca is a picturesque town set at the edge of the Alps in Piedmont, Northern Italy. Blending rustic charm with scenic beauty, it offers visitors an authentic taste of rural Italian life and easy access to nature trails and nearby cultural sites.
Geographic Context
Jurisdiction
Italy
Region
Piedmont
Population
5,159
Time Zone
Europe/Rome
Coordinates
44.38°, 7.47°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
75
Food Safety
90
Monthly Cost · estimate
$1,562
Local Cost
$1,000
Local Income
$1,300
Cashless
55
English
30
Temperature
9.6°C
Summer Avg
19.8°C
Winter Avg
0.2°C
Record High
36.3°C
Record Low
-19.7°C
Humidity
69%
Precipitation
727 mm
Internet Speed
19 Mbps
Upload
8 Mbps
Latency
13 ms
City Vibrancy
7
Coworking
0
Cafes
1
Nightlife
4
Parks
2
Transport
11
Walk Score
11
Footways
21.0
Airport
CUF
Distance
22 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 2025-12-07.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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