Perales del Alfambra
City in Teruel, Spain
Overview
Perales del Alfambra is a quaint village set in the province of Teruel, Spain, offering authentic rural charm and beautiful natural surroundings. With just over 270 residents, the town is ideal for those seeking tranquility, history, and access to the breathtaking landscapes of the Alfambra Valley.
Geographic Context
Jurisdiction
Spain
Province
Teruel
Population
271
Time Zone
Europe/Madrid
Coordinates
40.63°, -1.00°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,100
Local Cost
$720
Local Income
$1,100
Cashless
30
English
25
Temperature
10.6°C
Summer Avg
20.2°C
Winter Avg
2.3°C
Record High
37.3°C
Record Low
-14.1°C
Humidity
66%
Precipitation
380 mm
Internet Speed
29 Mbps
Upload
4 Mbps
Latency
23 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
0
Parks
4
Transport
0
Walk Score
0
Footways
—
Airport
TEV
Distance
31 km
Explore
Data sources
Source-backed data
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.