Càlig

City in Castellón, Spain

Overview

Càlig is a small, picturesque town in Castellón, Spain, celebrated for its peaceful rural charm, historic architecture, and agricultural heritage. With traditional festivals and scenic surroundings, it's an ideal base for exploring the lesser-known side of the Valencia region.

Geographic Context

Jurisdiction
Spain
Province
Castellón
Population
2,048
Time Zone
Europe/Madrid
Coordinates
40.46°, 0.36°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,453
Local Cost
$960
Local Income
$1,250
Cashless
35
English
20
Temperature
17.3°C
Summer Avg
24.2°C
Winter Avg
11.1°C
Record High
35.2°C
Record Low
0.3°C
Humidity
71%
Precipitation
475 mm
Internet Speed
147 Mbps
Upload
96 Mbps
Latency
12 ms
City Vibrancy
6
Coworking
0
Cafes
0
Nightlife
5
Parks
1
Transport
6
Walk Score
6
Footways
12.0
Airport
CDT
Distance
37 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 2026-03-22.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.