Taverna
City in Calabria, Italy
Overview
Taverna is a picturesque town set in the foothills of the Sila Mountains in Calabria, Italy. Known for its charming medieval center and rich artistic heritage, it offers an authentic slice of southern Italian life away from crowds.
Geographic Context
Jurisdiction
Italy
Region
Calabria
Population
2,522
Time Zone
Europe/Rome
Coordinates
39.02°, 16.58°
Key Metrics
Safety Score · estimate
82
Female Safety
80
LGBTQ+ Safety
55
Traffic Safety
70
Food Safety
94
Monthly Cost · estimate
$1,439
Local Cost
$830
Local Income
$1,050
Cashless
45
English
15
Temperature
17.1°C
Summer Avg
25.8°C
Winter Avg
9.5°C
Record High
41.7°C
Record Low
-1.5°C
Humidity
72%
Precipitation
904 mm
Internet Speed
65 Mbps
Upload
18 Mbps
Latency
6 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
1
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
SUF
Distance
32 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 2025-12-07.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.