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Almè
City in Lombardy, Italy
Overview
Almè is a picturesque small town set near the Brembo river in Lombardy, just outside Bergamo. With its historic core, peaceful neighborhoods, and easy access to nature, it offers an authentic Italian village atmosphere.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
5,496
Time Zone
Europe/Rome
Coordinates
45.74°, 9.62°
Key Metrics
Safety Score · estimate
83
Female Safety
78
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
92
Monthly Cost · estimate
$1,846
Local Cost
$1,200
Local Income
$1,800
Cashless
70
English
45
Temperature
13.3°C
Summer Avg
23.2°C
Winter Avg
3.6°C
Record High
38.5°C
Record Low
-12.1°C
Humidity
73%
Precipitation
984 mm
Internet Speed
69 Mbps
Upload
24 Mbps
Latency
13 ms
City Vibrancy
37
Coworking
0
Cafes
4
Nightlife
15
Parks
18
Transport
100
Walk Score
100
Footways
255.0
Airport
BGY
Distance
10 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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