Canencia

City in Madrid, Spain

Overview

Canencia is a quaint mountain village in the Sierra Norte de Madrid, known for its serene natural surroundings, traditional stone houses, and a peaceful rural ambiance. With fewer than 500 residents, it offers a genuine slice of Spanish country life and a gateway to scenic hiking trails.

Geographic Context

Jurisdiction
Spain
Province
Madrid
Population
469
Time Zone
Europe/Madrid
Coordinates
40.91°, -3.74°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
95
Food Safety
95
Monthly Cost · estimate
$1,481
Local Cost
$962
Local Income
$1,350
Cashless
40
English
35
Temperature
11.1°C
Summer Avg
20.7°C
Winter Avg
2.8°C
Record High
37.4°C
Record Low
-13.3°C
Humidity
68%
Precipitation
524 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
12.0
Airport
MAD
Distance
48 km

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Cost of Living
Prices & expenses
Weather & Climate
Temperature & conditions
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City Guide
Tips & insights

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.