Bellús

City in Valencia, Spain

Overview

Bellús is a tiny, picturesque village set in the rolling hills of Valencia, Spain. Known for its peaceful ambiance, friendly locals, and rich agricultural surroundings, it's perfect for travelers seeking an authentic, rural Spanish experience away from city crowds.

Geographic Context

Jurisdiction
Spain
Province
Valencia
Population
302
Time Zone
Europe/Madrid
Coordinates
38.95°, -0.49°

Key Metrics

Safety Score · estimate
90
Female Safety
86
LGBTQ+ Safety
78
Traffic Safety
92
Food Safety
97
Monthly Cost · estimate
$1,220
Local Cost
$800
Local Income
$1,150
Cashless
40
English
22
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
286 Mbps
Upload
458 Mbps
Latency
10 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
1
Parks
2
Transport
2
Walk Score
2
Footways
3.0
Airport
—
Distance
—

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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.