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Forenza
City in Basilicata, Italy
Overview
Forenza is a picturesque hilltop town in Basilicata, Italy, celebrated for its sweeping views, historical stone architecture, and authentic southern Italian charm. With a close-knit community and centuries-old traditions, Forenza offers a serene escape from city crowds.
Geographic Context
Jurisdiction
Italy
Region
Basilicata
Population
1,825
Time Zone
Europe/Rome
Coordinates
40.86°, 15.85°
Key Metrics
Safety Score · estimate
87
Female Safety
80
LGBTQ+ Safety
68
Traffic Safety
85
Food Safety
90
Monthly Cost · estimate
$1,400
Local Cost
$880
Local Income
$1,050
Cashless
35
English
28
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
212 Mbps
Upload
141 Mbps
Latency
18 ms
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
2
Parks
2
Transport
5
Walk Score
5
Footways
9.0
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 2025-12-08.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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