Marcignana
City in Tuscany, Italy
Overview
Marcignana is a quaint village in the heart of Tuscany, Italy, with a tight-knit community and picturesque countryside. The town offers authentic Tuscan living, far from the crowds of major cities, and is known for its traditional architecture and relaxed pace.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
1,191
Time Zone
Europe/Rome
Coordinates
43.72°, 10.88°
Key Metrics
Safety Score · estimate
86
Female Safety
82
LGBTQ+ Safety
70
Traffic Safety
84
Food Safety
94
Monthly Cost · estimate
$1,577
Local Cost
$1,038
Local Income
$1,400
Cashless
56
English
48
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
213 Mbps
Upload
153 Mbps
Latency
40 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
8
Walk Score
8
Footways
16.0
Airport
FLR
Distance
27 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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.