Alfara de la Baronia

City in Valencia, Spain

Overview

Alfara de la Baronia is a tranquil village in the province of Valencia, known for its scenic landscapes, historical charm, and close-knit community. Visitors can enjoy a slower pace of life, local gastronomy, and easy access to nature.

Geographic Context

Jurisdiction
Spain
Province
Valencia
Population
614
Time Zone
Europe/Madrid
Coordinates
39.76°, -0.36°

Key Metrics

Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$1,367
Local Cost
$910
Local Income
$1,200
Cashless
30
English
35
Temperature
13.8°C
Summer Avg
22.8°C
Winter Avg
5.8°C
Record High
40.5°C
Record Low
-8.8°C
Humidity
63%
Precipitation
408 mm
Internet Speed
313 Mbps
Upload
288 Mbps
Latency
13 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
2
Parks
2
Transport
3
Walk Score
3
Footways
6.0
Airport
VLC
Distance
32 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.