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Camogli
City in Liguria, Italy
Overview
Camogli is a picturesque fishing village set on the Ligurian coast, renowned for its colorful buildings, pebble beaches, and delicious seafood. The town combines authentic Italian charm, rich maritime history, and stunning natural surroundings.
Geographic Context
Jurisdiction
Italy
Region
Liguria
Population
4,977
Time Zone
Europe/Rome
Coordinates
44.35°, 9.15°
Key Metrics
Safety Score · estimate
89
Female Safety
82
LGBTQ+ Safety
74
Traffic Safety
77
Food Safety
97
Monthly Cost · estimate
$2,405
Local Cost
$1,630
Local Income
$1,450
Cashless
61
English
38
Temperature
12.6°C
Summer Avg
21.7°C
Winter Avg
4.2°C
Record High
36.5°C
Record Low
-9.7°C
Humidity
77%
Precipitation
821 mm
Internet Speed
89 Mbps
Upload
18 Mbps
Latency
18 ms
City Vibrancy
52
Coworking
0
Cafes
17
Nightlife
31
Parks
4
Transport
100
Walk Score
100
Footways
234.0
Airport
GOA
Distance
26 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: 69/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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