Albinea
City in Emilia-Romagna, Italy
Overview
Albinea is a charming small town set in the rolling hills of Emilia-Romagna, Italy. Renowned for its scenic landscapes, slow-paced life, and authentic local culture, it offers a genuine Italian experience far from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Emilia-Romagna
Population
8,817
Time Zone
Europe/Rome
Coordinates
44.63°, 10.61°
Key Metrics
Safety Score · estimate
87
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
82
Food Safety
94
Monthly Cost · estimate
$1,902
Local Cost
$1,152
Local Income
$1,400
Cashless
64
English
42
Temperature
13.1°C
Summer Avg
23.7°C
Winter Avg
3.4°C
Record High
40.6°C
Record Low
-11.9°C
Humidity
72%
Precipitation
675 mm
Internet Speed
60 Mbps
Upload
15 Mbps
Latency
11 ms
City Vibrancy
17
Coworking
0
Cafes
1
Nightlife
9
Parks
7
Transport
22
Walk Score
22
Footways
44.0
Airport
PMF
Distance
33 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.