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Sinalunga
City in Tuscany, Italy
Overview
Sinalunga is a charming Tuscan town set among rolling hills, historic churches, and centuries-old streets. Its proximity to famous wine regions and the cultural heart of Tuscany makes it a peaceful base for exploring the countryside.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
12,068
Time Zone
Europe/Rome
Coordinates
43.21°, 11.75°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,912
Local Cost
$1,080
Local Income
$1,400
Cashless
55
English
35
Temperature
14.0°C
Summer Avg
23.8°C
Winter Avg
5.0°C
Record High
40.5°C
Record Low
-10.2°C
Humidity
75%
Precipitation
782 mm
Internet Speed
101 Mbps
Upload
19 Mbps
Latency
16 ms
City Vibrancy
25
Coworking
0
Cafes
13
Nightlife
2
Parks
10
Transport
82
Walk Score
82
Footways
163.0
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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