Ráfol de Salem
City in Valencia, Spain
Overview
Ráfol de Salem is a picturesque rural village set in the mountains of Valencia, Spain, known for its tranquil ambiance, traditional stone houses, and scenic landscapes. With a close-knit community and authentic local customs, it offers slow-paced village life with easy access to nature and nearby hiking trails.
Geographic Context
Jurisdiction
Spain
Province
Valencia
Population
460
Time Zone
Europe/Madrid
Coordinates
38.87°, -0.40°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,242
Local Cost
$800
Local Income
$1,300
Cashless
40
English
30
Temperature
16.1°C
Summer Avg
25.2°C
Winter Avg
7.9°C
Record High
42.7°C
Record Low
-6.7°C
Humidity
64%
Precipitation
358 mm
Internet Speed
186 Mbps
Upload
259 Mbps
Latency
16 ms
City Vibrancy
9
Coworking
0
Cafes
1
Nightlife
0
Parks
8
Transport
2
Walk Score
2
Footways
4.0
Airport
—
Distance
—
Explore
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.