Fuente el Saz de Jarama

City in Madrid, Spain

Overview

Fuente el Saz de Jarama is a welcoming town on the northern edge of Madrid province, surrounded by farmland and natural scenery. Though small, it offers an authentic Spanish experience with easy access to Madrid's city attractions.

Geographic Context

Jurisdiction
Spain
Province
Madrid
Population
7,379
Time Zone
Europe/Madrid
Coordinates
40.64°, -3.51°

Key Metrics

Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
75
Traffic Safety
83
Food Safety
97
Monthly Cost · estimate
$1,802
Local Cost
$1,170
Local Income
$1,450
Cashless
75
English
40
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
407 Mbps
Upload
365 Mbps
Latency
5 ms
City Vibrancy
13
Coworking
0
Cafes
0
Nightlife
0
Parks
13
Transport
86
Walk Score
86
Footways
171.0
Airport
MAD
Distance
16 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 13 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.