Lancenigo-Villorba
City in Veneto, Italy
Overview
Lancenigo-Villorba is a charming town in the Veneto region, set just north of Treviso. It offers visitors a peaceful suburban experience, picturesque countryside, and a gateway to exploring the cultural riches of northern Italy.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
—
Time Zone
Europe/Rome
Coordinates
45.71°, 12.26°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$2,090
Local Cost
$1,150
Local Income
$1,550
Cashless
65
English
45
Temperature
15.1°C
Summer Avg
24.5°C
Winter Avg
6.0°C
Record High
35.8°C
Record Low
-5.2°C
Humidity
73%
Precipitation
942 mm
Internet Speed
291 Mbps
Upload
233 Mbps
Latency
16 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
42
Walk Score
42
Footways
84.0
Airport
TSF
Distance
9 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.