Ramponio Verna
City in Lombardy, Italy
Overview
Ramponio Verna is a picturesque mountain village in the Lombardy region of northern Italy, perched above Lake Lugano and surrounded by lush hills. Known for its tranquility, historic charm, and striking landscapes, it offers visitors a true taste of rural Italian life.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
—
Time Zone
Europe/Rome
Coordinates
46.00°, 9.07°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,790
Local Cost
$1,130
Local Income
$1,500
Cashless
60
English
40
Temperature
8.7°C
Summer Avg
18.2°C
Winter Avg
-1.1°C
Record High
34.5°C
Record Low
-22.6°C
Humidity
75%
Precipitation
1248 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
LUG
Distance
12 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 2026-03-21.
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.