Vencillón

City in Huesca, Spain

Overview

Vencillón is a small, tranquil village in the province of Huesca, Spain, surrounded by lush fields and the Cinca River. Its charm lies in its friendly community, rural landscape, and authentic Spanish countryside experience.

Geographic Context

Jurisdiction
Spain
Province
Huesca
Population
393
Time Zone
Europe/Madrid
Coordinates
41.70°, 0.32°

Key Metrics

Safety Score · estimate
82
Female Safety
70
LGBTQ+ Safety
54
Traffic Safety
87
Food Safety
95
Monthly Cost · estimate
$1,138
Local Cost
$728
Local Income
$1,300
Cashless
36
English
18
Temperature
14.8°C
Summer Avg
24.4°C
Winter Avg
6.0°C
Record High
42.1°C
Record Low
-8.1°C
Humidity
68%
Precipitation
438 mm
Internet Speed
54 Mbps
Upload
55 Mbps
Latency
16 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
ILD
Distance
18 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 8 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 2026-03-23.
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.