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Sabbioneta
City in Lombardy, Italy
Overview
Sabbioneta is a small, perfectly preserved Renaissance town in Lombardy, Italy, recognized as a UNESCO World Heritage site. Famous for its striking grid layout, stunning palaces, and tranquil atmosphere, it's often called an 'ideal city' of the 16th century.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
4,096
Time Zone
Europe/Rome
Coordinates
45.00°, 10.49°
Key Metrics
Safety Score · estimate
80
Female Safety
70
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
94
Monthly Cost · estimate
$1,582
Local Cost
$937
Local Income
$1,200
Cashless
55
English
40
Temperature
14.6°C
Summer Avg
25.6°C
Winter Avg
4.2°C
Record High
41.9°C
Record Low
-9.3°C
Humidity
72%
Precipitation
746 mm
Internet Speed
462 Mbps
Upload
244 Mbps
Latency
15 ms
City Vibrancy
6
Coworking
0
Cafes
3
Nightlife
0
Parks
3
Transport
6
Walk Score
6
Footways
11.0
Airport
PMF
Distance
24 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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