Agna
City in Veneto, Italy
Overview
Agna is a charming, small town in Veneto, Italy, known for its traditional architecture, peaceful atmosphere, and friendly community. With its historical center and scenic rural surroundings, it offers an authentic local experience away from crowded tourist hotspots.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
3,157
Time Zone
Europe/Rome
Coordinates
45.17°, 11.96°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,770
Local Cost
$1,030
Local Income
$1,300
Cashless
50
English
35
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
25 Mbps
Upload
1 Mbps
Latency
31 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
12
Walk Score
12
Footways
24.0
Airport
VCE
Distance
48 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.