Chert/Xert

City in Castellón, Spain

Overview

Chert/Xert is a picturesque village in Castellón, Spain, known for its tranquil pace, historic center, and scenic rural setting amidst hills and olive groves. Far from tourist crowds, the town offers an authentic glimpse of traditional Valencian life.

Geographic Context

Jurisdiction
Spain
Province
Castellón
Population
648
Time Zone
Europe/Madrid
Coordinates
40.52°, 0.16°

Key Metrics

Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
75
Traffic Safety
92
Food Safety
95
Monthly Cost · estimate
$1,355
Local Cost
$758
Local Income
$1,350
Cashless
35
English
30
Temperature
13.9°C
Summer Avg
22.7°C
Winter Avg
6.1°C
Record High
39.2°C
Record Low
-7.9°C
Humidity
65%
Precipitation
436 mm
Internet Speed
284 Mbps
Upload
310 Mbps
Latency
14 ms
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
2
Parks
2
Transport
3
Walk Score
3
Footways
5.0
Airport
CDT
Distance
35 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 8 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.