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Craco-Sant'Angelo
City in Basilicata, Italy
Overview
Craco-Sant'Angelo is a remote hilltop village in Basilicata, known for the dramatic ruins of Craco Vecchia, a UNESCO candidate and setting for several films. Once threatened by landslides and abandonment, it now captivates travelers with its surreal, timeless beauty and tranquil Lucanian landscapes.
Geographic Context
Jurisdiction
Italy
Region
Basilicata
Population
73
Time Zone
Europe/Rome
Coordinates
40.38°, 16.44°
Key Metrics
Safety Score · estimate
75
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
85
Food Safety
80
Monthly Cost · estimate
$1,293
Local Cost
$797
Local Income
$900
Cashless
35
English
15
Temperature
14.8°C
Summer Avg
24.7°C
Winter Avg
6.0°C
Record High
43.2°C
Record Low
-6.8°C
Humidity
70%
Precipitation
696 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
8
Walk Score
8
Footways
15.0
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 2025-12-09.
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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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