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Alcobendas
City in Madrid, Spain
Overview
Alcobendas is a thriving city in the Madrid metropolitan area, blending traditional Spanish charm with modern amenities. It is known for its excellent parks, family-friendly neighborhoods, and proximity to Madrid's business districts.
Geographic Context
Jurisdiction
Spain
Province
Madrid
Population
121,373
Time Zone
Europe/Madrid
Coordinates
40.55°, -3.64°
Key Metrics
Safety Score · estimate
88
Female Safety
88
LGBTQ+ Safety
85
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$2,295
Local Cost
$1,470
Local Income
$1,800
Cashless
80
English
50
Temperature
13.5°C
Summer Avg
24.0°C
Winter Avg
4.3°C
Record High
40.9°C
Record Low
-8.9°C
Humidity
63%
Precipitation
447 mm
Internet Speed
391 Mbps
Upload
363 Mbps
Latency
5 ms
City Vibrancy
188
Coworking
0
Cafes
12
Nightlife
16
Parks
160
Transport
0
Walk Score
0
Footways
—
Airport
MAD
Distance
9 km
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsData sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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