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San Vittore
City in Lombardy, Italy
Overview
San Vittore is a picturesque rural hamlet in Lombardy, Italy, set amid rolling hills and lush countryside. With just over 100 residents, it offers a quiet escape, authentic Italian lifestyle, and beautiful regional landscapes.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
107
Time Zone
Europe/Rome
Coordinates
46.31°, 9.38°
Key Metrics
Safety Score · estimate
85
Female Safety
70
LGBTQ+ Safety
55
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,705
Local Cost
$1,120
Local Income
$1,400
Cashless
40
English
35
Temperature
0.8°C
Summer Avg
10.6°C
Winter Avg
-9.1°C
Record High
26.3°C
Record Low
-34.8°C
Humidity
86%
Precipitation
1312 mm
Internet Speed
73 Mbps
Upload
18 Mbps
Latency
15 ms
City Vibrancy
21
Coworking
0
Cafes
3
Nightlife
12
Parks
6
Transport
13
Walk Score
13
Footways
26.0
Airport
SMV
Distance
46 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 2025-12-09.
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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