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Arlesega
City in Veneto, Italy
Overview
Arlesega is a picturesque village set in Veneto, Italy, offering traditional charm, serene landscapes, and a warm, tight-knit community. Its cobbled lanes, parish church, and proximity to the countryside make it ideal for travelers seeking authentic Italian rural life.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
1,013
Time Zone
Europe/Rome
Coordinates
45.46°, 11.72°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,690
Local Cost
$980
Local Income
$1,250
Cashless
55
English
45
Temperature
14.1°C
Summer Avg
24.5°C
Winter Avg
4.1°C
Record High
39.5°C
Record Low
-8.2°C
Humidity
73%
Precipitation
878 mm
Internet Speed
307 Mbps
Upload
155 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
28
Walk Score
28
Footways
55.0
Airport
TSF
Distance
42 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 2026-03-23.
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: 49/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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