Villamagna
City in Abruzzo, Italy
Overview
Villamagna is a picturesque village set in the hills of Abruzzo, Italy, known for its rich history, tranquil countryside, and local wine production. The town offers authentic rural Italian life, with scenic landscapes and welcoming traditions.
Geographic Context
Jurisdiction
Italy
Region
Abruzzo
Population
2,161
Time Zone
Europe/Rome
Coordinates
42.33°, 14.24°
Key Metrics
Safety Score · estimate
85
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,490
Local Cost
$900
Local Income
$1,200
Cashless
35
English
30
Temperature
17.0°C
Summer Avg
24.8°C
Winter Avg
10.3°C
Record High
36.3°C
Record Low
0.3°C
Humidity
72%
Precipitation
788 mm
Internet Speed
371 Mbps
Upload
204 Mbps
Latency
6 ms
City Vibrancy
7
Coworking
0
Cafes
4
Nightlife
2
Parks
1
Transport
11
Walk Score
11
Footways
22.0
Airport
PSR
Distance
12 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 2025-12-08.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.