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Fornaci
City in Veneto, Italy
Overview
Fornaci is a tiny rural village in the Veneto region, offering visitors an authentic Italian countryside experience. Surrounded by lush farmlands and gentle hills, this quiet town is perfect for slowing down, sampling local food, and exploring nature on foot or bicycle.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
204
Time Zone
Europe/Rome
Coordinates
45.65°, 12.44°
Key Metrics
Safety Score · estimate
88
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,582
Local Cost
$995
Local Income
$1,400
Cashless
45
English
35
Temperature
15.1°C
Summer Avg
24.5°C
Winter Avg
6.0°C
Record High
35.8°C
Record Low
-5.2°C
Humidity
73%
Precipitation
942 mm
Internet Speed
287 Mbps
Upload
165 Mbps
Latency
8 ms
City Vibrancy
35
Coworking
0
Cafes
1
Nightlife
2
Parks
32
Transport
100
Walk Score
100
Footways
579.0
Airport
VCE
Distance
18 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 2025-12-09.
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 2026-03-23.
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: 43/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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