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Donzella
City in Veneto, Italy
Overview
Donzella is a quaint village in the Veneto region of Italy, set near the Po River Delta. Known for its tranquil pace, natural beauty, and authentic Italian hospitality, it's a hidden gem for nature enthusiasts and those seeking a peaceful retreat.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
1,119
Time Zone
Europe/Rome
Coordinates
44.93°, 12.33°
Key Metrics
Safety Score · estimate
87
Female Safety
82
LGBTQ+ Safety
65
Traffic Safety
88
Food Safety
96
Monthly Cost · estimate
$1,532
Local Cost
$963
Local Income
$1,400
Cashless
55
English
35
Temperature
15.8°C
Summer Avg
24.8°C
Winter Avg
7.2°C
Record High
36.2°C
Record Low
-2.7°C
Humidity
74%
Precipitation
782 mm
Internet Speed
63 Mbps
Upload
18 Mbps
Latency
11 ms
City Vibrancy
11
Coworking
0
Cafes
1
Nightlife
0
Parks
10
Transport
7
Walk Score
7
Footways
13.0
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 2025-12-08.
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 2026-01-15.
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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