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Monte Caminetto
City in Lazio, Italy
Overview
Monte Caminetto is a tranquil village set in Lazio's rolling hills, offering a relaxed pace of life just north of Rome. Surrounded by natural beauty and characterized by classic Italian charm, it's ideal for those seeking authenticity away from urban bustle.
Geographic Context
Jurisdiction
Italy
Region
Lazio
Population
—
Time Zone
Europe/Rome
Coordinates
42.07°, 12.47°
Key Metrics
Safety Score · estimate
80
Female Safety
78
LGBTQ+ Safety
70
Traffic Safety
75
Food Safety
90
Monthly Cost · estimate
$1,890
Local Cost
$1,170
Local Income
$1,550
Cashless
60
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
169 Mbps
Upload
82 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
CIA
Distance
31 km
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 2025-12-09.
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 2026-03-21.
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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