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Figline Valdarno
City in Tuscany, Italy
Overview
Figline Valdarno is a picturesque Tuscan town set between Florence and Arezzo, known for its historic squares, traditional food, and scenic countryside. With its warm community atmosphere and easy access to Florence by train, it makes an excellent base for exploring Tuscany.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
—
Time Zone
Europe/Rome
Coordinates
43.62°, 11.47°
Key Metrics
Safety Score · estimate
82
Female Safety
80
LGBTQ+ Safety
67
Traffic Safety
77
Food Safety
94
Monthly Cost · estimate
$1,822
Local Cost
$1,090
Local Income
$1,500
Cashless
68
English
37
Temperature
13.8°C
Summer Avg
23.7°C
Winter Avg
4.7°C
Record High
40.6°C
Record Low
-9.4°C
Humidity
75%
Precipitation
726 mm
Internet Speed
141 Mbps
Upload
116 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
73
Walk Score
73
Footways
145.0
Airport
FLR
Distance
30 km
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 2026-03-21.
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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