Preara-Moraro-Levà Nord
City in Veneto, Italy
Overview
Preara-Moraro-Levà Nord is a small, peaceful town in the Veneto region known for its tranquil ambiance, friendly community, and scenic rural surroundings. While away from busy tourist crowds, it offers an authentic taste of Italian village life with picturesque landscapes, local markets, and cultural traditions.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
1,953
Time Zone
Europe/Rome
Coordinates
45.68°, 11.54°
Key Metrics
Safety Score · estimate
88
Female Safety
83
LGBTQ+ Safety
68
Traffic Safety
78
Food Safety
95
Monthly Cost · estimate
$1,642
Local Cost
$1,022
Local Income
$1,600
Cashless
62
English
42
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
City Vibrancy
8
Coworking
0
Cafes
0
Nightlife
2
Parks
6
Transport
11
Walk Score
11
Footways
21.0
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 2026-01-14.
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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.