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Benlloch

City in Castellón, Spain

Overview

Benlloch is a tranquil village in Castellón province, Spain, known for its historic charm, rural landscapes, and welcoming community. Its compact size and proximity to natural attractions make it an ideal destination for relaxation and local culture immersion.

Geographic Context

Jurisdiction
Spain
Province
Castellón
Population
—
Time Zone
Europe/Madrid
Coordinates
40.21°, 0.03°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,265
Local Cost
$820
Local Income
$1,100
Cashless
55
English
30
Temperature
16.8°C
Summer Avg
24.1°C
Winter Avg
10.3°C
Record High
36.4°C
Record Low
-1.2°C
Humidity
68%
Precipitation
494 mm
Internet Speed
113 Mbps
Upload
94 Mbps
Latency
5 ms
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
3
Parks
1
Transport
11
Walk Score
11
Footways
21.0
Airport
CDT
Distance
4 km

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 2025-12-09.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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