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Sorgà
City in Veneto, Italy
Overview
Sorgà is a small rural town in the Veneto region of northern Italy, known for its peaceful atmosphere, traditional local culture, and picturesque countryside. With under 3,000 residents, it offers an authentic glimpse into Italian rural life, far from the tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
2,924
Time Zone
Europe/Rome
Coordinates
45.21°, 10.98°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,750
Local Cost
$1,030
Local Income
$1,350
Cashless
35
English
30
Temperature
14.6°C
Summer Avg
25.5°C
Winter Avg
4.3°C
Record High
42.2°C
Record Low
-7.9°C
Humidity
72%
Precipitation
725 mm
Internet Speed
143 Mbps
Upload
22 Mbps
Latency
27 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
5
Walk Score
5
Footways
9.0
Airport
VRN
Distance
22 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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