Villa Estense
City in Veneto, Italy
Overview
Villa Estense is a small, peaceful village set in the Veneto countryside, known for its historic architecture and friendly community spirit. The town offers authentic rural Italian experiences, local charm, and easy access to nearby cultural sites.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
1,369
Time Zone
Europe/Rome
Coordinates
45.17°, 11.67°
Key Metrics
Safety Score · estimate
88
Female Safety
82
LGBTQ+ Safety
65
Traffic Safety
75
Food Safety
93
Monthly Cost · estimate
$1,620
Local Cost
$950
Local Income
$1,350
Cashless
57
English
38
Temperature
14.9°C
Summer Avg
25.3°C
Winter Avg
4.9°C
Record High
41.4°C
Record Low
-5.9°C
Humidity
73%
Precipitation
733 mm
Internet Speed
66 Mbps
Upload
55 Mbps
Latency
21 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
8
Walk Score
8
Footways
15.0
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.