San Romano
City in Tuscany, Italy
Overview
San Romano is a picturesque Tuscan hamlet set amidst rolling hills and cypress trees, offering visitors a tranquil retreat away from city crowds. Rich in history and traditional charm, it gives a genuine glimpse into small-village life in rural Italy.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
152
Time Zone
Europe/Rome
Coordinates
43.69°, 10.77°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
72
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,457
Local Cost
$980
Local Income
$1,100
Cashless
40
English
35
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
116 Mbps
Upload
22 Mbps
Latency
31 ms
City Vibrancy
14
Coworking
0
Cafes
3
Nightlife
1
Parks
10
Transport
21
Walk Score
21
Footways
42.0
Airport
PSA
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 2026-03-23.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.