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Cecchina
City in Lazio, Italy
Overview
Cecchina is a charming town set in the Alban Hills of Lazio, known for its relaxed pace, traditional Italian character, and easy access to Rome. It's ideal for those seeking authenticity and scenic countryside with urban conveniences nearby.
Geographic Context
Jurisdiction
Italy
Region
Lazio
Population
9,141
Time Zone
Europe/Rome
Coordinates
41.70°, 12.65°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
70
Traffic Safety
65
Food Safety
90
Monthly Cost · estimate
$1,980
Local Cost
$1,280
Local Income
$1,350
Cashless
50
English
35
Temperature
17.5°C
Summer Avg
24.6°C
Winter Avg
11.1°C
Record High
33.9°C
Record Low
0.9°C
Humidity
74%
Precipitation
879 mm
Internet Speed
146 Mbps
Upload
80 Mbps
Latency
8 ms
City Vibrancy
23
Coworking
0
Cafes
12
Nightlife
0
Parks
11
Transport
16
Walk Score
16
Footways
31.0
Airport
CIA
Distance
12 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 2025-12-07.
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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