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Verolanuova
City in Lombardy, Italy
Overview
Verolanuova is a picturesque small town in Lombardy, Italy, blending charming historic streets with peaceful rural surroundings. It's an ideal destination for travelers looking to experience authentic Italian culture away from busier cities.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
8,050
Time Zone
Europe/Rome
Coordinates
45.33°, 10.08°
Key Metrics
Safety Score · estimate
78
Female Safety
72
LGBTQ+ Safety
55
Traffic Safety
75
Food Safety
92
Monthly Cost · estimate
$1,624
Local Cost
$1,000
Local Income
$1,450
Cashless
52
English
40
Temperature
13.7°C
Summer Avg
23.8°C
Winter Avg
3.9°C
Record High
40.0°C
Record Low
-9.7°C
Humidity
71%
Precipitation
918 mm
Internet Speed
215 Mbps
Upload
151 Mbps
Latency
19 ms
City Vibrancy
9
Coworking
0
Cafes
2
Nightlife
5
Parks
2
Transport
21
Walk Score
21
Footways
41.0
Airport
VBS
Distance
23 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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