Tavernelle
City in Umbria, Italy
Overview
Tavernelle is a tiny yet charming village in the heart of Umbria, characterized by its medieval alleys, friendly locals, and rolling green hills. Perfect for travelers seeking quietude, authentic Italian culture, and a gateway to the broader Umbrian countryside.
Geographic Context
Jurisdiction
Italy
Region
Umbria
Population
154
Time Zone
Europe/Rome
Coordinates
43.00°, 12.15°
Key Metrics
Safety Score · estimate
75
Female Safety
70
LGBTQ+ Safety
50
Traffic Safety
75
Food Safety
90
Monthly Cost · estimate
$1,390
Local Cost
$910
Local Income
$1,200
Cashless
30
English
25
Temperature
14.0°C
Summer Avg
23.8°C
Winter Avg
5.0°C
Record High
40.5°C
Record Low
-10.2°C
Humidity
75%
Precipitation
782 mm
Internet Speed
133 Mbps
Upload
96 Mbps
Latency
26 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
5
Walk Score
5
Footways
9.0
Airport
PEG
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 2025-12-09.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.