Gambarana

City in Lombardy, Italy

Overview

Gambarana is a tiny, picturesque village in Lombardy, Italy, set amid tranquil fields and flanked by the Po River. The town offers an authentic slice of rural Italian life, with historic buildings and peaceful outdoor spaces. It's a serene getaway perfect for unwinding and experiencing true local tradition.

Geographic Context

Jurisdiction
Italy
Region
Lombardy
Population
194
Time Zone
Europe/Rome
Coordinates
45.03°, 8.76°

Key Metrics

Safety Score · estimate
85
Female Safety
65
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,375
Local Cost
$892
Local Income
$1,250
Cashless
35
English
30
Temperature
13.7°C
Summer Avg
24.0°C
Winter Avg
3.6°C
Record High
40.8°C
Record Low
-13.1°C
Humidity
73%
Precipitation
815 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—

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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.