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Santomenna
City in Campania, Italy
Overview
Santomenna is a tiny, charming village set in the hills of Campania, Italy, known for its authentic rural atmosphere and centuries-old traditions. With a close-knit community and stunning natural surroundings, it offers visitors a glimpse into slow-paced Italian life.
Geographic Context
Jurisdiction
Italy
Region
Campania
Population
401
Time Zone
Europe/Rome
Coordinates
40.81°, 15.33°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
50
Traffic Safety
90
Food Safety
85
Monthly Cost · estimate
$1,307
Local Cost
$780
Local Income
$1,100
Cashless
30
English
25
Temperature
14.3°C
Summer Avg
23.8°C
Winter Avg
5.7°C
Record High
42.6°C
Record Low
-8.0°C
Humidity
71%
Precipitation
578 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
4
Walk Score
4
Footways
8.0
Airport
QSR
Distance
41 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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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