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Solonghello
City in Piedmont, Italy
Overview
Solonghello is a tiny, picturesque village set in the Monferrato hills of Piedmont, Italy. Known for its tranquil ambiance, historical charm, and sweeping countryside vistas, it's ideal for travelers seeking authentic rural Italian life away from the crowds.
Geographic Context
Jurisdiction
Italy
Region
Piedmont
Population
196
Time Zone
Europe/Rome
Coordinates
45.13°, 8.28°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
58
Traffic Safety
85
Food Safety
93
Monthly Cost · estimate
$1,443
Local Cost
$908
Local Income
$1,250
Cashless
30
English
35
Temperature
13.2°C
Summer Avg
23.2°C
Winter Avg
3.3°C
Record High
40.0°C
Record Low
-14.6°C
Humidity
73%
Precipitation
865 mm
Internet Speed
45 Mbps
Upload
17 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
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 2025-12-09.
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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