Marina di Pisa-Tirrenia-Calambrone
City in Tuscany, Italy
Overview
Marina di Pisa-Tirrenia-Calambrone is a coastal stretch west of Pisa, offering diverse beach experiences from pebbly to sandy shores. Known for its relaxed ambiance, lively summer months, and easy access to both the sea and nearby Tuscan cities.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
—
Time Zone
Europe/Rome
Coordinates
43.63°, 10.29°
Key Metrics
Safety Score · estimate
80
Female Safety
78
LGBTQ+ Safety
65
Traffic Safety
77
Food Safety
93
Monthly Cost · estimate
$2,255
Local Cost
$1,270
Local Income
$1,450
Cashless
54
English
38
Temperature
17.1°C
Summer Avg
23.4°C
Winter Avg
11.3°C
Record High
31.7°C
Record Low
1.4°C
Humidity
76%
Precipitation
838 mm
Internet Speed
43 Mbps
Upload
14 Mbps
Latency
28 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
204.0
Airport
PSA
Distance
10 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 2026-03-22.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.