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Le Forna
City in Lazio, Italy
Overview
Le Forna is a picturesque coastal village on the island of Ponza in Lazio, Italy, famed for its dramatic cliffs, turquoise waters, and slow-paced lifestyle. The town combines authentic Italian island culture with breathtaking natural beauty and friendly locals.
Geographic Context
Jurisdiction
Italy
Region
Lazio
Population
1,268
Time Zone
Europe/Rome
Coordinates
40.92°, 12.97°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
55
Traffic Safety
70
Food Safety
90
Monthly Cost · estimate
$2,146
Local Cost
$1,350
Local Income
$1,300
Cashless
40
English
30
Temperature
18.3°C
Summer Avg
24.3°C
Winter Avg
13.0°C
Record High
30.9°C
Record Low
4.4°C
Humidity
75%
Precipitation
838 mm
Internet Speed
31 Mbps
Upload
10 Mbps
Latency
46 ms
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
4
Parks
0
Transport
12
Walk Score
12
Footways
23.0
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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