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Molino-Pera

City in Liguria, Italy

Overview

Molino-Pera is a picturesque village set in Liguria's lush hills, offering an authentic taste of small-town Italian life. With just 230 residents, it's a haven for tranquility, historic charm, and unspoiled scenery. Visitors are drawn by its relaxed pace, friendly locals, and scenic countryside.

Geographic Context

Jurisdiction
Italy
Region
Liguria
Population
230
Time Zone
Europe/Rome
Coordinates
44.49°, 8.31°

Key Metrics

Safety Score · estimate
90
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
90
Monthly Cost · estimate
$1,911
Local Cost
$1,178
Local Income
$1,150
Cashless
40
English
30
Temperature
12.2°C
Summer Avg
22.5°C
Winter Avg
2.6°C
Record High
39.2°C
Record Low
-15.7°C
Humidity
72%
Precipitation
778 mm
City Vibrancy
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
8.0
Airport
GOA
Distance
43 km

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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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