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Cugliate-Fabiasco
City in Lombardy, Italy
Overview
Cugliate-Fabiasco is a picturesque small town set in the lush hills of Lombardy, near Lake Maggiore and the Swiss border. It offers a peaceful retreat with authentic Italian charm, historic sites, and easy access to scenic nature trails.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
3,096
Time Zone
Europe/Rome
Coordinates
45.95°, 8.82°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,632
Local Cost
$1,070
Local Income
$1,400
Cashless
60
English
35
Temperature
9.7°C
Summer Avg
19.3°C
Winter Avg
-0.1°C
Record High
36.5°C
Record Low
-20.1°C
Humidity
73%
Precipitation
1207 mm
Internet Speed
72 Mbps
Upload
14 Mbps
Latency
16 ms
City Vibrancy
15
Coworking
0
Cafes
5
Nightlife
5
Parks
5
Transport
12
Walk Score
12
Footways
23.0
Airport
LUG
Distance
10 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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