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San Marco
City in Campania, Italy
Overview
San Marco is a quaint seaside village in Campania renowned for its historic core, stunning coastlines, and authentic Italian charm. With a population under 600, it offers a tranquil escape steeped in tradition, idyllic landscapes, and warm local hospitality.
Geographic Context
Jurisdiction
Italy
Region
Campania
Population
559
Time Zone
Europe/Rome
Coordinates
40.27°, 14.94°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,622
Local Cost
$1,020
Local Income
$1,150
Cashless
30
English
35
Temperature
16.1°C
Summer Avg
24.1°C
Winter Avg
8.7°C
Record High
37.7°C
Record Low
-2.4°C
Humidity
73%
Precipitation
729 mm
Internet Speed
108 Mbps
Upload
65 Mbps
Latency
17 ms
City Vibrancy
13
Coworking
0
Cafes
3
Nightlife
10
Parks
0
Transport
6
Walk Score
6
Footways
12.0
Airport
QSR
Distance
39 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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