Alcolea del Pinar
City in Guadalajara, Spain
Overview
Alcolea del Pinar is a small, picturesque village in the province of Guadalajara, Spain, known for its tranquil ambiance, traditional architecture, and proximity to natural landscapes. With a close-knit community feel and historic roots, it offers a peaceful escape ideal for rural tourism and cultural exploration.
Geographic Context
Jurisdiction
Spain
Province
Guadalajara
Population
336
Time Zone
Europe/Madrid
Coordinates
41.04°, -2.47°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,085
Local Cost
$720
Local Income
$1,100
Cashless
25
English
25
Temperature
11.3°C
Summer Avg
20.9°C
Winter Avg
2.9°C
Record High
38.3°C
Record Low
-13.0°C
Humidity
67%
Precipitation
407 mm
Internet Speed
321 Mbps
Upload
259 Mbps
Latency
13 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
4
Walk Score
4
Footways
8.0
Airport
—
Distance
—
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.