Montalbano Jonico
City in Basilicata, Italy
Overview
Montalbano Jonico is a charming hilltop town in Basilicata, southern Italy, famed for its historic architecture and dramatic clay ravines (calanchi). Its peaceful streets and authentic, relaxed atmosphere offer a true taste of rural Italy.
Geographic Context
Jurisdiction
Italy
Region
Basilicata
Population
6,662
Time Zone
Europe/Rome
Coordinates
40.29°, 16.57°
Key Metrics
Safety Score · estimate
83
Female Safety
75
LGBTQ+ Safety
48
Traffic Safety
82
Food Safety
92
Monthly Cost · estimate
$1,418
Local Cost
$850
Local Income
$1,100
Cashless
45
English
36
Temperature
16.9°C
Summer Avg
25.7°C
Winter Avg
9.2°C
Record High
41.2°C
Record Low
-1.3°C
Humidity
71%
Precipitation
669 mm
Internet Speed
124 Mbps
Upload
27 Mbps
Latency
19 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
0
Parks
5
Transport
46
Walk Score
46
Footways
91.0
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: 69/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.