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Picerno
City in Basilicata, Italy
Overview
Picerno is a charming hillside town in Basilicata, Italy, known for its scenic views, medieval architecture, and authentic southern Italian culture. The town offers peaceful rural living, flavorful cuisine, and warm local hospitality.
Geographic Context
Jurisdiction
Italy
Region
Basilicata
Population
5,637
Time Zone
Europe/Rome
Coordinates
40.64°, 15.64°
Key Metrics
Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
50
Traffic Safety
70
Food Safety
85
Monthly Cost · estimate
$1,510
Local Cost
$870
Local Income
$1,000
Cashless
35
English
25
Temperature
13.0°C
Summer Avg
22.5°C
Winter Avg
4.6°C
Record High
40.5°C
Record Low
-9.7°C
Humidity
74%
Precipitation
686 mm
Internet Speed
143 Mbps
Upload
81 Mbps
Latency
19 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
1
Parks
0
Transport
9
Walk Score
9
Footways
18.0
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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