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Cataeggio
City in Lombardy, Italy
Overview
Cataeggio is a serene mountain village in Lombardy, Italy, known for its breathtaking alpine scenery, traditional stone architecture, and tranquil riverside setting. With only 611 residents, Cataeggio offers an authentic slice of rural Italian life, perfect for those seeking peace and local charm.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
611
Time Zone
Europe/Rome
Coordinates
46.21°, 9.64°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
55
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,476
Local Cost
$897
Local Income
$1,200
Cashless
50
English
30
Temperature
8.7°C
Summer Avg
18.2°C
Winter Avg
-1.1°C
Record High
34.5°C
Record Low
-22.6°C
Humidity
75%
Precipitation
1248 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
29
Walk Score
29
Footways
58.0
Airport
SMV
Distance
40 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 2025-12-08.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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