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Collarmele
City in Abruzzo, Italy
Overview
Collarmele is a small, picturesque village perched in the heart of Abruzzo, surrounded by rolling hills and the natural beauty of the Apennines. With its under-1,000 population, it offers a quiet escape and an authentic glimpse into rural Italian life.
Geographic Context
Jurisdiction
Italy
Region
Abruzzo
Population
800
Time Zone
Europe/Rome
Coordinates
42.06°, 13.63°
Key Metrics
Safety Score · estimate
90
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
95
Food Safety
95
Monthly Cost · estimate
$1,362
Local Cost
$780
Local Income
$1,050
Cashless
35
English
20
Temperature
10.3°C
Summer Avg
19.9°C
Winter Avg
1.8°C
Record High
38.3°C
Record Low
-15.0°C
Humidity
76%
Precipitation
786 mm
Internet Speed
248 Mbps
Upload
178 Mbps
Latency
17 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
3
Walk Score
3
Footways
5.0
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 2026-01-15.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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