Sant'Arcangelo
City in Basilicata, Italy
Overview
Sant'Arcangelo is a picturesque town set in the heart of Basilicata, Italy, known for its authentic southern charm, welcoming community, and beautiful rolling landscapes. Its historical center boasts medieval architecture and lively piazzas, while the surrounding rural areas offer peace, tradition, and wonderful views.
Geographic Context
Jurisdiction
Italy
Region
Basilicata
Population
6,021
Time Zone
Europe/Rome
Coordinates
40.25°, 16.27°
Key Metrics
Safety Score · estimate
80
Female Safety
72
LGBTQ+ Safety
55
Traffic Safety
75
Food Safety
90
Monthly Cost · estimate
$1,470
Local Cost
$892
Local Income
$1,350
Cashless
40
English
28
Temperature
14.5°C
Summer Avg
23.8°C
Winter Avg
6.2°C
Record High
40.6°C
Record Low
-6.0°C
Humidity
73%
Precipitation
888 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
1
Parks
1
Transport
39
Walk Score
39
Footways
78.0
Airport
—
Distance
—
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.