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Carlantino
City in Apulia, Italy
Overview
Carlantino is a quaint hilltop village in Apulia, Italy, known for its tranquil atmosphere, traditional stone houses, and sweeping views of the Tavoliere plain. With a small, welcoming community, it offers an authentic experience of rural Italian life far from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Apulia
Population
804
Time Zone
Europe/Rome
Coordinates
41.59°, 14.98°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
85
Monthly Cost · estimate
$1,203
Local Cost
$722
Local Income
$1,100
Cashless
25
English
20
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
50 Mbps
Upload
11 Mbps
Latency
22 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
FOG
Distance
50 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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