Caltana
City in Veneto, Italy
Overview
Caltana is a quaint and peaceful town in the Veneto region of Italy, known for its authentic local atmosphere and proximity to beautiful countryside. With fewer tourists, it offers a relaxing escape and a real slice of everyday Italian life.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
2,838
Time Zone
Europe/Rome
Coordinates
45.48°, 12.03°
Key Metrics
Safety Score · estimate
88
Female Safety
82
LGBTQ+ Safety
65
Traffic Safety
84
Food Safety
96
Monthly Cost · estimate
$1,690
Local Cost
$1,050
Local Income
$1,400
Cashless
54
English
42
Temperature
14.1°C
Summer Avg
24.5°C
Winter Avg
4.1°C
Record High
39.5°C
Record Low
-8.2°C
Humidity
73%
Precipitation
878 mm
Internet Speed
155 Mbps
Upload
113 Mbps
Latency
10 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
2
Parks
3
Transport
19
Walk Score
19
Footways
38.0
Airport
TSF
Distance
22 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.