Villa Pigna
City in Marche, Italy
Overview
Villa Pigna is a small, welcoming town in the heart of Marche, known for its tranquil residential neighborhoods, traditional Italian charm, and close proximity to nature. The city is a gateway to scenic countryside, family-friendly parks, and local culinary experiences.
Geographic Context
Jurisdiction
Italy
Region
Marche
Population
5,077
Time Zone
Europe/Rome
Coordinates
42.83°, 13.63°
Key Metrics
Safety Score · estimate
82
Female Safety
78
LGBTQ+ Safety
65
Traffic Safety
86
Food Safety
94
Monthly Cost · estimate
$1,644
Local Cost
$1,002
Local Income
$1,350
Cashless
49
English
32
Temperature
15.4°C
Summer Avg
24.3°C
Winter Avg
7.5°C
Record High
39.0°C
Record Low
-3.3°C
Humidity
72%
Precipitation
712 mm
Internet Speed
221 Mbps
Upload
138 Mbps
Latency
22 ms
City Vibrancy
23
Coworking
0
Cafes
8
Nightlife
3
Parks
12
Transport
21
Walk Score
21
Footways
41.0
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 2025-12-07.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.