Ceggia
City in Veneto, Italy
Overview
Set in the heart of the Veneto region, Ceggia is a small Italian town known for its relaxed atmosphere and authentic rural charm. With its blend of historical sites, river views, and proximity to Venice, Ceggia offers a tranquil base for exploring the area.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
6,095
Time Zone
Europe/Rome
Coordinates
45.69°, 12.64°
Key Metrics
Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
65
Traffic Safety
82
Food Safety
95
Monthly Cost · estimate
$1,654
Local Cost
$988
Local Income
$1,450
Cashless
65
English
34
Temperature
15.1°C
Summer Avg
24.5°C
Winter Avg
6.0°C
Record High
35.8°C
Record Low
-5.2°C
Humidity
73%
Precipitation
942 mm
Internet Speed
76 Mbps
Upload
56 Mbps
Latency
19 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
1
Parks
2
Transport
74
Walk Score
74
Footways
148.0
Airport
VCE
Distance
31 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.