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Alberona
City in Apulia, Italy
Overview
Alberona is a charming hilltop village in Apulia, Italy, known for its medieval streets, beautiful panoramas, and tranquil rural vibe. With fewer than a thousand residents, it offers an authentic, slow-paced Italian experience far from typical tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Apulia
Population
846
Time Zone
Europe/Rome
Coordinates
41.43°, 15.12°
Key Metrics
Safety Score · estimate
82
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
90
Monthly Cost · estimate
$1,347
Local Cost
$792
Local Income
$1,100
Cashless
40
English
35
Temperature
14.3°C
Summer Avg
24.1°C
Winter Avg
5.7°C
Record High
43.1°C
Record Low
-7.3°C
Humidity
71%
Precipitation
603 mm
Internet Speed
87 Mbps
Upload
18 Mbps
Latency
18 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
FOG
Distance
34 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: 53/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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