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Città Sant'Angelo
City in Abruzzo, Italy
Overview
Città Sant'Angelo is a picturesque hilltop town in Abruzzo, Italy, known for its well-preserved historic center, sweeping Adriatic Sea views, and lively local festivals. The town offers a blend of authentic Italian culture, beautiful rural landscapes, and easy access to both coast and mountains.
Geographic Context
Jurisdiction
Italy
Region
Abruzzo
Population
14,795
Time Zone
Europe/Rome
Coordinates
42.51°, 14.06°
Key Metrics
Safety Score
85
Female Safety
80
LGBTQ+ Safety
68
Traffic Safety
83
Food Safety
92
Monthly Cost
$1,880
Local Cost
$980
Local Income
$1,500
Cashless
57
English
35
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
16 Mbps
Upload
0 Mbps
Latency
29 ms
City Vibrancy
10
Coworking
0
Cafes
4
Nightlife
1
Parks
5
Transport
100
Walk Score
100
Footways
203.0
Airport
PSR
Distance
13 km
Explore
Neighborhoods
Mapped15 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 15 neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 15 source-backed neighborhood entities are available for this city. Updated 2026-03-25.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 63/100.
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