Llocnou de la Corona

City in Valencia, Spain

Overview

Llocnou de la Corona is Spain's smallest municipality, set within the Valencia region and characterized by its close-knit community and quiet, traditional streets. Its tranquil charm offers an authentic Valencian village experience just outside Valencia city.

Geographic Context

Jurisdiction
Spain
Province
Valencia
Population
121
Time Zone
Europe/Madrid
Coordinates
39.42°, -0.38°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
92
Food Safety
95
Monthly Cost · estimate
$1,513
Local Cost
$962
Local Income
$1,400
Cashless
60
English
35
Temperature
16.5°C
Summer Avg
25.1°C
Winter Avg
8.6°C
Record High
42.1°C
Record Low
-4.9°C
Humidity
63%
Precipitation
394 mm
Internet Speed
439 Mbps
Upload
357 Mbps
Latency
13 ms
City Vibrancy
64
Coworking
0
Cafes
8
Nightlife
22
Parks
34
Transport
100
Walk Score
100
Footways
1361.0
Airport
VLC
Distance
11 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 28 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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.