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Serre di Rapolano
City in Tuscany, Italy
Overview
Serre di Rapolano is a charming Tuscan hill town famous for its medieval center and natural thermal spas. The city offers stunning countryside landscapes, authentic local cuisine, and a tranquil atmosphere ideal for relaxation.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
1,492
Time Zone
Europe/Rome
Coordinates
43.26°, 11.62°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$1,760
Local Cost
$1,240
Local Income
$1,300
Cashless
45
English
35
Temperature
12.9°C
Summer Avg
23.0°C
Winter Avg
3.9°C
Record High
40.2°C
Record Low
-11.0°C
Humidity
76%
Precipitation
776 mm
Internet Speed
105 Mbps
Upload
61 Mbps
Latency
15 ms
City Vibrancy
3
Coworking
0
Cafes
3
Nightlife
0
Parks
0
Transport
16
Walk Score
16
Footways
32.0
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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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