Ababuj

City in Teruel, Spain

Overview

Ababuj is a tiny, tranquil village tucked into the hills of Teruel, Spain, known for its rustic charm and picturesque scenery. With only 74 residents, it offers an authentic rural Spanish experience far from the bustle of city life.

Geographic Context

Jurisdiction
Spain
Province
Teruel
Population
74
Time Zone
Europe/Madrid
Coordinates
40.55°, -0.81°

Key Metrics

Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,245
Local Cost
$800
Local Income
$850
Cashless
25
English
20
Temperature
11.0°C
Summer Avg
20.4°C
Winter Avg
2.9°C
Record High
37.7°C
Record Low
-13.3°C
Humidity
67%
Precipitation
394 mm
Internet Speed
7 Mbps
Upload
3 Mbps
Latency
43 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
TEV
Distance
39 km

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Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.