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Missanello
City in Basilicata, Italy
Overview
Missanello is a picturesque hilltop village in Basilicata, Italy, boasting authentic rural charm and medieval architecture. With a population under 500, it offers tranquil scenes, traditional cuisine, and an immersive cultural experience.
Geographic Context
Jurisdiction
Italy
Region
Basilicata
Population
469
Time Zone
Europe/Rome
Coordinates
40.28°, 16.17°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
50
Traffic Safety
90
Food Safety
85
Monthly Cost · estimate
$1,170
Local Cost
$720
Local Income
$1,100
Cashless
20
English
25
Temperature
14.8°C
Summer Avg
24.7°C
Winter Avg
6.0°C
Record High
43.2°C
Record Low
-6.8°C
Humidity
70%
Precipitation
696 mm
Internet Speed
45 Mbps
Upload
2 Mbps
Latency
29 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
20
Walk Score
20
Footways
40.0
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 2025-12-08.
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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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