Vernasca
City in Emilia-Romagna, Italy
Overview
Vernasca is a charming hilltop village in Emilia-Romagna, Italy, known for its medieval center, lush countryside, and tranquil pace of life. It offers an authentic taste of rural Italian culture and scenic views of the Val d'Arda.
Geographic Context
Jurisdiction
Italy
Region
Emilia-Romagna
Population
2,004
Time Zone
Europe/Rome
Coordinates
44.80°, 9.83°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,607
Local Cost
$948
Local Income
$1,400
Cashless
40
English
35
Temperature
13.8°C
Summer Avg
24.3°C
Winter Avg
3.6°C
Record High
40.6°C
Record Low
-10.0°C
Humidity
73%
Precipitation
798 mm
Internet Speed
49 Mbps
Upload
14 Mbps
Latency
14 ms
City Vibrancy
10
Coworking
0
Cafes
2
Nightlife
1
Parks
7
Transport
4
Walk Score
4
Footways
7.0
Airport
PMF
Distance
37 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.