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Gruaro-Bagnara
City in Veneto, Italy
Overview
Gruaro-Bagnara is a picturesque small town in Veneto, Italy, known for its serene landscape, historical roots, and welcoming local community. Set among rivers and farmland, it's ideal for travelers seeking peace and authentic Italian village life.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
1,452
Time Zone
Europe/Rome
Coordinates
45.84°, 12.85°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,512
Local Cost
$1,020
Local Income
$1,600
Cashless
60
English
40
Temperature
12.4°C
Summer Avg
22.4°C
Winter Avg
2.7°C
Record High
37.0°C
Record Low
-11.7°C
Humidity
75%
Precipitation
1073 mm
Internet Speed
21 Mbps
Upload
3 Mbps
Latency
15 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
17
Walk Score
17
Footways
33.0
Airport
AVB
Distance
29 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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