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Scandolara Ravara

City in Lombardy, Italy

Overview

Scandolara Ravara is a quaint village set in the Lombardy countryside, offering a glimpse of authentic rural Italian life. With its medieval corners, artisanal traditions, and quiet charm, the town is perfect for cultural travelers, foodies, and those seeking relaxation.

Geographic Context

Jurisdiction
Italy
Region
Lombardy
Population
1,306
Time Zone
Europe/Rome
Coordinates
45.05°, 10.30°

Key Metrics

Safety Score · estimate
87
Female Safety
82
LGBTQ+ Safety
62
Traffic Safety
85
Food Safety
93
Monthly Cost · estimate
$1,623
Local Cost
$978
Local Income
$1,200
Cashless
48
English
38
Temperature
13.8°C
Summer Avg
24.3°C
Winter Avg
3.6°C
Record High
40.6°C
Record Low
-10.0°C
Humidity
73%
Precipitation
798 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
PMF
Distance
25 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 2025-12-08.
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 2026-03-22.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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