Ponte di Nanto
City in Veneto, Italy
Overview
Ponte di Nanto is a tranquil village in the Veneto region, tucked at the foot of the Berici Hills near Vicenza. Authentic, compact, and surrounded by vineyards and scenic walking trails, it's ideal for visitors looking to experience rural Italian life away from crowds.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
1,395
Time Zone
Europe/Rome
Coordinates
45.42°, 11.59°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
68
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,812
Local Cost
$1,012
Local Income
$1,450
Cashless
50
English
35
Temperature
14.1°C
Summer Avg
24.5°C
Winter Avg
4.1°C
Record High
39.5°C
Record Low
-8.2°C
Humidity
73%
Precipitation
878 mm
Internet Speed
324 Mbps
Upload
169 Mbps
Latency
16 ms
City Vibrancy
7
Coworking
0
Cafes
1
Nightlife
0
Parks
6
Transport
35
Walk Score
35
Footways
70.0
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 2026-03-22.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.