Cenaia
City in Tuscany, Italy
Overview
Cenaia is a peaceful Tuscan village set between Pisa and Livorno, known for its authentic rural atmosphere and proximity to vineyards. With its small population, Cenaia offers quiet charm, friendly locals, and easy access to other Tuscan treasures.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
2,086
Time Zone
Europe/Rome
Coordinates
43.61°, 10.54°
Key Metrics
Safety Score · estimate
86
Female Safety
82
LGBTQ+ Safety
74
Traffic Safety
80
Food Safety
97
Monthly Cost · estimate
$1,642
Local Cost
$1,090
Local Income
$1,550
Cashless
57
English
41
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
71 Mbps
Upload
17 Mbps
Latency
12 ms
City Vibrancy
6
Coworking
0
Cafes
2
Nightlife
2
Parks
2
Transport
23
Walk Score
23
Footways
46.0
Airport
PSA
Distance
14 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 2025-12-08.
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: 69/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.