Cardeñuela Riopico

City in Burgos, Spain

Overview

Cardeñuela Riopico is a quaint village in the province of Burgos, Spain, known for its peaceful atmosphere and location along the historic Camino de Santiago. With a small population, the town offers an authentic slice of rural Castilian life amidst scenic countryside.

Geographic Context

Jurisdiction
Spain
Province
Burgos
Population
111
Time Zone
Europe/Madrid
Coordinates
42.36°, -3.56°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,280
Local Cost
$825
Local Income
$1,100
Cashless
45
English
25
Temperature
10.2°C
Summer Avg
17.9°C
Winter Avg
3.0°C
Record High
36.7°C
Record Low
-11.1°C
Humidity
77%
Precipitation
631 mm
Internet Speed
226 Mbps
Upload
190 Mbps
Latency
26 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
RGS
Distance
5 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.