Sant'Andrea di Conza
City in Campania, Italy
Overview
Sant'Andrea di Conza is a picturesque village in Campania, Italy, set in the green hills of Irpinia. With its cobbled streets, historical landmarks, and welcoming community, the town offers authentic southern Italian life away from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Campania
Population
1,406
Time Zone
Europe/Rome
Coordinates
40.84°, 15.37°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
50
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,437
Local Cost
$870
Local Income
$1,050
Cashless
40
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
Internet Speed
196 Mbps
Upload
151 Mbps
Latency
25 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
23
Walk Score
23
Footways
46.0
Airport
QSR
Distance
46 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.