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Negrar
City in Veneto, Italy
Overview
Negrar is a picturesque town set in the hills of Valpolicella, renowned for its wine production and tranquil Italian countryside ambiance. With its rich history, charming neighborhoods, and scenic vineyards, it offers an authentic Veneto experience away from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
6,464
Time Zone
Europe/Rome
Coordinates
45.53°, 10.94°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,852
Local Cost
$1,110
Local Income
$1,700
Cashless
50
English
35
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
63 Mbps
Upload
19 Mbps
Latency
19 ms
City Vibrancy
8
Coworking
0
Cafes
4
Nightlife
2
Parks
2
Transport
53
Walk Score
53
Footways
105.0
Airport
VRN
Distance
15 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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