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Biccari
City in Apulia, Italy
Overview
Biccari is a charming hilltop town in Apulia known for its picturesque historic center, friendly locals, and beautiful countryside views. With its quaint streets and slow pace, it's an authentic taste of southern Italy away from crowded tourist spots.
Geographic Context
Jurisdiction
Italy
Region
Apulia
Population
2,636
Time Zone
Europe/Rome
Coordinates
41.40°, 15.20°
Key Metrics
Safety Score · estimate
82
Female Safety
80
LGBTQ+ Safety
50
Traffic Safety
70
Food Safety
85
Monthly Cost · estimate
$1,387
Local Cost
$800
Local Income
$1,050
Cashless
32
English
18
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
36 Mbps
Upload
12 Mbps
Latency
18 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
1
Parks
1
Transport
5
Walk Score
5
Footways
10.0
Airport
FOG
Distance
28 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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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