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Campli
City in Abruzzo, Italy
Overview
Campli is a picturesque hilltop town in Abruzzo, Italy, renowned for its medieval streets, culinary heritage, and rich cultural traditions. Visitors are drawn to its friendly atmosphere, scenic landscape, and historic architectural treasures.
Geographic Context
Jurisdiction
Italy
Region
Abruzzo
Population
6,560
Time Zone
Europe/Rome
Coordinates
42.73°, 13.69°
Key Metrics
Safety Score · estimate
85
Female Safety
72
LGBTQ+ Safety
62
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$1,711
Local Cost
$1,018
Local Income
$1,100
Cashless
52
English
32
Temperature
12.7°C
Summer Avg
22.1°C
Winter Avg
4.3°C
Record High
38.5°C
Record Low
-11.2°C
Humidity
73%
Precipitation
766 mm
Internet Speed
55 Mbps
Upload
66 Mbps
Latency
16 ms
City Vibrancy
7
Coworking
0
Cafes
2
Nightlife
5
Parks
0
Transport
8
Walk Score
8
Footways
15.0
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 2025-12-07.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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