Montalto Pavese
City in Lombardy, Italy
Overview
Set in the rolling hills of Lombardy, Montalto Pavese is a small town renowned for its picturesque landscapes, vineyards, and medieval history. Visitors enjoy tranquil rural settings, local wines, and authentic Italian village charm.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
852
Time Zone
Europe/Rome
Coordinates
44.98°, 9.21°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
90
Monthly Cost · estimate
$1,732
Local Cost
$972
Local Income
$1,200
Cashless
40
English
30
Temperature
13.0°C
Summer Avg
23.1°C
Winter Avg
3.2°C
Record High
39.0°C
Record Low
-12.1°C
Humidity
75%
Precipitation
831 mm
Internet Speed
1 Mbps
Upload
0 Mbps
Latency
45 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
16
Walk Score
16
Footways
32.0
Airport
—
Distance
—
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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.