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Licciana Nardi
City in Tuscany, Italy
Overview
Licciana Nardi is a picturesque small town set in the Lunigiana region of Tuscany, renowned for its medieval castles, lush forests, and tranquil rural life. The town offers genuine Tuscan hospitality and is a gateway to the Apuan Alps and the Magra Valley.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
4,709
Time Zone
Europe/Rome
Coordinates
44.26°, 10.04°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
82
Food Safety
95
Monthly Cost · estimate
$1,565
Local Cost
$980
Local Income
$1,350
Cashless
40
English
35
Temperature
12.3°C
Summer Avg
22.2°C
Winter Avg
3.1°C
Record High
38.4°C
Record Low
-12.3°C
Humidity
76%
Precipitation
786 mm
Internet Speed
86 Mbps
Upload
10 Mbps
Latency
41 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
17
Walk Score
17
Footways
33.0
Airport
—
Distance
—
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 2025-12-07.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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