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Scontrone
City in Abruzzo, Italy
Overview
Scontrone is a picturesque mountain village in Abruzzo, famous for its sweeping views, charming stone houses, and proximity to the Abruzzo, Lazio and Molise National Park. It is a peaceful destination ideal for nature lovers and those seeking authentic rural Italian culture.
Geographic Context
Jurisdiction
Italy
Region
Abruzzo
Population
533
Time Zone
Europe/Rome
Coordinates
41.75°, 14.04°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,370
Local Cost
$812
Local Income
$900
Cashless
40
English
25
Temperature
14.3°C
Summer Avg
24.0°C
Winter Avg
5.7°C
Record High
41.6°C
Record Low
-7.1°C
Humidity
72%
Precipitation
807 mm
Internet Speed
83 Mbps
Upload
191 Mbps
Latency
12 ms
City Vibrancy
6
Coworking
0
Cafes
1
Nightlife
3
Parks
2
Transport
9
Walk Score
9
Footways
17.0
Airport
—
Distance
—
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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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