Ormelle
City in Veneto, Italy
Overview
Ormelle is a small, tranquil town set in the Veneto region, known for its lush countryside, charming historic center, and traditional Italian atmosphere. Its proximity to larger Veneto cities makes it a peaceful base for exploring the region, without the crowds.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
4,460
Time Zone
Europe/Rome
Coordinates
45.78°, 12.42°
Key Metrics
Safety Score · estimate
88
Female Safety
76
LGBTQ+ Safety
68
Traffic Safety
82
Food Safety
93
Monthly Cost · estimate
$1,710
Local Cost
$1,072
Local Income
$1,350
Cashless
58
English
42
Temperature
12.1°C
Summer Avg
22.1°C
Winter Avg
2.3°C
Record High
37.5°C
Record Low
-12.0°C
Humidity
73%
Precipitation
1062 mm
Internet Speed
101 Mbps
Upload
58 Mbps
Latency
29 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
22
Walk Score
22
Footways
43.0
Airport
TSF
Distance
23 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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.