Castielfabib

City in Valencia, Spain

Overview

Castielfabib is a picturesque mountain village in the Rincón de Ademuz region of Valencia. Known for its medieval castle, charming narrow streets, and scenic setting by the Turia River, it's a serene escape into authentic rural Spain.

Geographic Context

Jurisdiction
Spain
Province
Valencia
Population
287
Time Zone
Europe/Madrid
Coordinates
40.13°, -1.30°

Key Metrics

Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
80
Monthly Cost · estimate
$1,090
Local Cost
$690
Local Income
$900
Cashless
35
English
30
Temperature
12.1°C
Summer Avg
21.7°C
Winter Avg
3.8°C
Record High
39.1°C
Record Low
-11.5°C
Humidity
64%
Precipitation
393 mm
Internet Speed
29 Mbps
Upload
5 Mbps
Latency
25 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
43
Walk Score
43
Footways
86.0
Airport
TEV
Distance
32 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 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.