Castel San Lorenzo
City in Campania, Italy
Overview
Castel San Lorenzo is a charming village set in the Cilento region of Campania, Italy. Known for its hillside vineyards, medieval center, and tranquil pace, it offers an authentic rural Italian experience far from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Campania
Population
2,205
Time Zone
Europe/Rome
Coordinates
40.42°, 15.23°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
50
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,400
Local Cost
$742
Local Income
$1,100
Cashless
30
English
30
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
90 Mbps
Upload
89 Mbps
Latency
2 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
QSR
Distance
35 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 2026-03-22.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.