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Anguillara Sabazia
City in Lazio, Italy
Overview
Anguillara Sabazia is a picturesque lakeside town northwest of Rome, known for its medieval center, beautiful vistas, and tranquil atmosphere. With its proximity to both the capital and natural reserves, it offers a perfect blend of history, relaxation, and outdoor activities.
Geographic Context
Jurisdiction
Italy
Region
Lazio
Population
19,091
Time Zone
Europe/Rome
Coordinates
42.08°, 12.28°
Key Metrics
Safety Score
77
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
70
Food Safety
92
Monthly Cost
$2,033
Local Cost
$1,260
Local Income
$1,400
Cashless
57
English
40
Temperature
15.9°C
Summer Avg
25.0°C
Winter Avg
7.6°C
Record High
40.9°C
Record Low
-5.1°C
Humidity
71%
Precipitation
774 mm
Internet Speed
131 Mbps
Upload
85 Mbps
Latency
8 ms
City Vibrancy
21
Coworking
0
Cafes
10
Nightlife
8
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
FCO
Distance
29 km
Explore
Neighborhoods
Mapped9 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 9 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 340 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 2025-12-05.
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 - 9 source-backed neighborhood entities are available for this city. Updated 2026-03-23.
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 73/100.
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