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Ballobar

City in Huesca, Spain

Overview

Ballobar is a charming rural village in Huesca, Spain, known for its picturesque surroundings, historic stone architecture, and quiet authenticity. With a small population, it offers a relaxing escape from urban life and a glimpse into traditional Spanish countryside living.

Geographic Context

Jurisdiction
Spain
Province
Huesca
Population
864
Time Zone
Europe/Madrid
Coordinates
41.62°, 0.19°

Key Metrics

Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,173
Local Cost
$760
Local Income
$1,300
Cashless
40
English
35
Temperature
15.4°C
Summer Avg
25.0°C
Winter Avg
6.5°C
Record High
43.6°C
Record Low
-6.4°C
Humidity
65%
Precipitation
396 mm
Internet Speed
103 Mbps
Upload
63 Mbps
Latency
25 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
ILD
Distance
31 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 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.

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