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Villa Poma
City in Lombardy, Italy
Overview
Villa Poma is a small and tranquil town in Lombardy, Italy, characterized by traditional Lombard houses, peaceful streets, and warm local hospitality. Aside from its agricultural roots, the town provides authentic countryside experiences, far from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
1,621
Time Zone
Europe/Rome
Coordinates
45.00°, 11.11°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
96
Monthly Cost · estimate
$1,550
Local Cost
$1,000
Local Income
$1,350
Cashless
50
English
35
Temperature
14.6°C
Summer Avg
25.5°C
Winter Avg
4.3°C
Record High
42.2°C
Record Low
-7.9°C
Humidity
72%
Precipitation
725 mm
Internet Speed
48 Mbps
Upload
13 Mbps
Latency
24 ms
City Vibrancy
8
Coworking
0
Cafes
2
Nightlife
1
Parks
5
Transport
4
Walk Score
4
Footways
8.0
Airport
VRN
Distance
47 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 2025-12-08.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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