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Grezzana
City in Veneto, Italy
Overview
Grezzana is a picturesque town set in the Valpantena valley of Veneto, close to Verona. It combines historic charm, lush landscapes, and authentic Italian culture, making it a peaceful destination for travelers.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
10,722
Time Zone
Europe/Rome
Coordinates
45.52°, 11.02°
Key Metrics
Safety Score
87
Female Safety
82
LGBTQ+ Safety
65
Traffic Safety
83
Food Safety
96
Monthly Cost
$1,800
Local Cost
$1,130
Local Income
$1,450
Cashless
62
English
50
Temperature
13.2°C
Summer Avg
23.5°C
Winter Avg
3.1°C
Record High
38.9°C
Record Low
-10.8°C
Humidity
72%
Precipitation
864 mm
Internet Speed
90 Mbps
Upload
16 Mbps
Latency
16 ms
City Vibrancy
12
Coworking
0
Cafes
1
Nightlife
9
Parks
2
Transport
36
Walk Score
36
Footways
71.0
Airport
VRN
Distance
17 km
Explore
Neighborhoods
PartialCoverage is incomplete — additional neighborhoods are being added as more source data is processed.
Coverage is incomplete — more neighborhoods are being added.
View all 5 neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 6 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 5 source-backed neighborhood entities are available for this city. Updated 2026-03-25.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 79/100.
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