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Vernio
City in Tuscany, Italy
Overview
Vernio is a charming Tuscan town set in rolling hills, known for its rustic beauty, medieval villages, and authentic local culture. With a small population, it offers a peaceful atmosphere, picturesque landscapes, and easy access to nature, a true hidden gem in Tuscany.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
6,144
Time Zone
Europe/Rome
Coordinates
44.05°, 11.15°
Key Metrics
Safety Score · estimate
85
Female Safety
77
LGBTQ+ Safety
62
Traffic Safety
70
Food Safety
90
Monthly Cost · estimate
$1,602
Local Cost
$942
Local Income
$1,200
Cashless
42
English
35
Temperature
11.8°C
Summer Avg
21.6°C
Winter Avg
2.8°C
Record High
38.9°C
Record Low
-12.2°C
Humidity
78%
Precipitation
735 mm
Internet Speed
74 Mbps
Upload
19 Mbps
Latency
8 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
3
Parks
2
Transport
10
Walk Score
10
Footways
19.0
Airport
FLR
Distance
27 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.
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