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Enego

City in Veneto, Italy

Overview

Enego is a quaint mountain town perched on the Asiago Plateau in northern Veneto, famous for its breathtaking alpine landscapes and small-town charm. The town offers a peaceful retreat for nature lovers, history buffs, and anyone seeking authentic Italian mountain life.

Geographic Context

Jurisdiction
Italy
Region
Veneto
Population
1,528
Time Zone
Europe/Rome
Coordinates
45.94°, 11.71°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,607
Local Cost
$920
Local Income
$1,400
Cashless
50
English
35
Temperature
9.6°C
Summer Avg
19.0°C
Winter Avg
0.2°C
Record High
33.3°C
Record Low
-17.6°C
Humidity
76%
Precipitation
1081 mm
Internet Speed
386 Mbps
Upload
185 Mbps
Latency
10 ms
City Vibrancy
5
Coworking
0
Cafes
2
Nightlife
2
Parks
1
Transport
4
Walk Score
4
Footways
8.0
Airport
BLX
Distance
49 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 4 tests. 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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