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Cittareale
City in Lazio, Italy
Overview
Cittareale is a picturesque village in the heart of the Lazio region, set in the Apennine mountains. With its medieval charm, stunning natural surroundings, and peaceful ambiance, Cittareale offers an authentic experience of rural Italy, away from the crowds.
Geographic Context
Jurisdiction
Italy
Region
Lazio
Population
401
Time Zone
Europe/Rome
Coordinates
42.62°, 13.16°
Key Metrics
Safety Score · estimate
85
Female Safety
70
LGBTQ+ Safety
55
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,312
Local Cost
$830
Local Income
$1,300
Cashless
35
English
20
Temperature
10.8°C
Summer Avg
20.3°C
Winter Avg
2.1°C
Record High
37.7°C
Record Low
-14.6°C
Humidity
75%
Precipitation
789 mm
Internet Speed
10 Mbps
Upload
0 Mbps
Latency
38 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
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: 34/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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