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Grandola ed Uniti
City in Lombardy, Italy
Overview
Grandola ed Uniti is a picturesque village in the Lombardy region, set between mountains and the northern shores of Lake Como. Its serene atmosphere, historic hamlets, and proximity to stunning natural sights make it an ideal spot for a tranquil getaway.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
1,291
Time Zone
Europe/Rome
Coordinates
46.02°, 9.21°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
88
Food Safety
95
Monthly Cost · estimate
$1,872
Local Cost
$1,100
Local Income
$1,450
Cashless
50
English
35
Temperature
8.7°C
Summer Avg
18.2°C
Winter Avg
-1.1°C
Record High
34.5°C
Record Low
-22.6°C
Humidity
75%
Precipitation
1248 mm
Internet Speed
40 Mbps
Upload
16 Mbps
Latency
16 ms
City Vibrancy
9
Coworking
0
Cafes
7
Nightlife
1
Parks
1
Transport
21
Walk Score
21
Footways
42.0
Airport
LUG
Distance
23 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 2025-12-08.
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 2026-03-22.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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