Cañamares

City in Cuenca, Spain

Overview

Cañamares is a charming village in the mountainous Cuenca region, surrounded by lush forests and rivers. Its tranquil atmosphere and traditional Spanish architecture make it a relaxing getaway for nature lovers and those seeking authentic rural life.

Geographic Context

Jurisdiction
Spain
Province
Cuenca
Population
454
Time Zone
Europe/Madrid
Coordinates
40.45°, -2.24°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
97
Monthly Cost · estimate
$1,345
Local Cost
$800
Local Income
$1,170
Cashless
55
English
30
Temperature
12.4°C
Summer Avg
22.4°C
Winter Avg
3.6°C
Record High
38.9°C
Record Low
-10.5°C
Humidity
64%
Precipitation
397 mm
Internet Speed
324 Mbps
Upload
241 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 4 tests. Record updated 2025-12-05.
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: 64/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.