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Bientina
City in Tuscany, Italy
Overview
Bientina is a quaint Tuscan town located between Pisa and Florence, combining rich medieval history with the serenity of the countryside. Known for its friendly locals and lively town center, it offers an authentic Italian experience away from crowds.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
8,602
Time Zone
Europe/Rome
Coordinates
43.71°, 10.62°
Key Metrics
Safety Score · estimate
85
Female Safety
76
LGBTQ+ Safety
72
Traffic Safety
82
Food Safety
95
Monthly Cost · estimate
$1,710
Local Cost
$980
Local Income
$1,450
Cashless
58
English
44
Temperature
15.6°C
Summer Avg
24.5°C
Winter Avg
7.3°C
Record High
39.0°C
Record Low
-5.6°C
Humidity
74%
Precipitation
733 mm
Internet Speed
216 Mbps
Upload
95 Mbps
Latency
17 ms
City Vibrancy
23
Coworking
0
Cafes
9
Nightlife
2
Parks
12
Transport
63
Walk Score
63
Footways
126.0
Airport
PSA
Distance
18 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 2025-12-07.
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: 64/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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