Gaiba
City in Veneto, Italy
Overview
Gaiba is a tranquil small town set in Italy's Veneto region, offering an authentic slice of rural life just steps from the Po River. Its quiet streets, centuries-old church, and community spirit make it ideal for those seeking relaxation and local culture.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
945
Time Zone
Europe/Rome
Coordinates
44.95°, 11.48°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
55
Traffic Safety
85
Food Safety
85
Monthly Cost · estimate
$1,620
Local Cost
$982
Local Income
$1,350
Cashless
40
English
30
Temperature
14.6°C
Summer Avg
25.5°C
Winter Avg
4.3°C
Record High
42.2°C
Record Low
-7.9°C
Humidity
72%
Precipitation
725 mm
Internet Speed
469 Mbps
Upload
203 Mbps
Latency
16 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
7.0
Airport
BLQ
Distance
48 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 2026-03-23.
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.