Annone Veneto
City in Veneto, Italy
Overview
Annone Veneto is a small, peaceful town set in the Veneto countryside, known for its agricultural heritage and warm local atmosphere. With classic Italian charm, it offers easy access to regional wineries and historic sites.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
3,797
Time Zone
Europe/Rome
Coordinates
45.79°, 12.69°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,681
Local Cost
$988
Local Income
$1,250
Cashless
50
English
35
Temperature
12.1°C
Summer Avg
22.1°C
Winter Avg
2.3°C
Record High
37.5°C
Record Low
-12.0°C
Humidity
73%
Precipitation
1062 mm
Internet Speed
109 Mbps
Upload
84 Mbps
Latency
233 ms
City Vibrancy
7
Coworking
0
Cafes
1
Nightlife
6
Parks
0
Transport
22
Walk Score
22
Footways
44.0
Airport
AVB
Distance
28 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 2025-12-07.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.