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Roseto Valfortore
City in Apulia, Italy
Overview
Roseto Valfortore is a picturesque village set in the Apulian hills, known for its medieval streets, lively traditions, and serene countryside. The town offers authentic Italian rural charm, local cuisine, and stunning natural landscapes.
Geographic Context
Jurisdiction
Italy
Region
Apulia
Population
993
Time Zone
Europe/Rome
Coordinates
41.38°, 15.10°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
45
Traffic Safety
85
Food Safety
85
Monthly Cost · estimate
$1,254
Local Cost
$728
Local Income
$900
Cashless
40
English
30
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
52 Mbps
Upload
14 Mbps
Latency
30 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
1
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
FOG
Distance
37 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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