Civitella Marittima
City in Tuscany, Italy
Overview
Civitella Marittima is a picturesque Tuscan village set atop rolling hills, beloved for its medieval charm and panoramic views. With just over 500 residents, it offers an authentic slice of rural Italian life, away from mass tourism.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
529
Time Zone
Europe/Rome
Coordinates
42.99°, 11.28°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,670
Local Cost
$945
Local Income
$1,100
Cashless
40
English
35
Temperature
14.5°C
Summer Avg
23.8°C
Winter Avg
6.0°C
Record High
39.7°C
Record Low
-8.4°C
Humidity
74%
Precipitation
706 mm
Internet Speed
124 Mbps
Upload
83 Mbps
Latency
26 ms
City Vibrancy
3
Coworking
0
Cafes
2
Nightlife
0
Parks
1
Transport
11
Walk Score
11
Footways
21.0
Airport
GRS
Distance
31 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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.