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Tavernelle
City in Marche, Italy
Overview
Tavernelle is a quaint village in the Marche region of Italy, set among rolling hills and surrounded by picturesque countryside. With less than 200 residents, the town offers an authentic slice of rural Italian life, heritage-rich streets, and stunning vistas.
Geographic Context
Jurisdiction
Italy
Region
Marche
Population
154
Time Zone
Europe/Rome
Coordinates
43.73°, 12.88°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
95
Food Safety
95
Monthly Cost · estimate
$1,550
Local Cost
$1,010
Local Income
$1,200
Cashless
45
English
35
Temperature
14.6°C
Summer Avg
24.0°C
Winter Avg
6.2°C
Record High
40.3°C
Record Low
-6.3°C
Humidity
74%
Precipitation
753 mm
Internet Speed
275 Mbps
Upload
122 Mbps
Latency
29 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
2
Parks
2
Transport
5
Walk Score
5
Footways
9.0
Airport
RMI
Distance
39 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.
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