Montalbán

City in Teruel, Spain

Overview

Montalbán is a picturesque small town set in the hills of Teruel, Aragón. Known for its medieval architecture, peaceful atmosphere, and stunning nature, it offers an authentic taste of rural Spain. The town's slow pace makes it ideal for relaxation or exploring off the beaten path.

Geographic Context

Jurisdiction
Spain
Province
Teruel
Population
1,165
Time Zone
Europe/Madrid
Coordinates
40.83°, -0.80°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,287
Local Cost
$700
Local Income
$1,400
Cashless
35
English
20
Temperature
13.4°C
Summer Avg
22.9°C
Winter Avg
5.1°C
Record High
41.1°C
Record Low
-10.4°C
Humidity
63%
Precipitation
379 mm
Internet Speed
105 Mbps
Upload
47 Mbps
Latency
36 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
1
Parks
1
Transport
3
Walk Score
3
Footways
6.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-06.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.