Navas de Riofrío

City in Segovia, Spain

Overview

Navas de Riofrío is a charming rural village in the province of Segovia, surrounded by pine forests and mountains. With its peaceful atmosphere and authentic Spanish character, it's perfect for travelers seeking tranquility and nature.

Geographic Context

Jurisdiction
Spain
Province
Segovia
Population
439
Time Zone
Europe/Madrid
Coordinates
40.87°, -4.13°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
92
Food Safety
95
Monthly Cost · estimate
$1,465
Local Cost
$890
Local Income
$1,200
Cashless
60
English
35
Temperature
11.6°C
Summer Avg
20.9°C
Winter Avg
3.3°C
Record High
37.8°C
Record Low
-12.4°C
Humidity
67%
Precipitation
482 mm
Internet Speed
151 Mbps
Upload
135 Mbps
Latency
12 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
10
Walk Score
10
Footways
19.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.