Hormilla
City in La Rioja, Spain
Overview
Hormilla is a picturesque village set in the wine-rich region of La Rioja, Spain. Known for its peaceful charm and friendly locals, it's an authentic spot to experience rural Spanish life away from the crowds. With historic buildings and access to scenic countryside, it offers tranquility and cultural heritage.
Geographic Context
Jurisdiction
Spain
Province
La Rioja
Population
431
Time Zone
Europe/Madrid
Coordinates
42.44°, -2.77°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,188
Local Cost
$780
Local Income
$1,300
Cashless
45
English
25
Temperature
11.8°C
Summer Avg
19.5°C
Winter Avg
4.6°C
Record High
39.3°C
Record Low
-9.3°C
Humidity
74%
Precipitation
640 mm
Internet Speed
327 Mbps
Upload
122 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
RJL
Distance
37 km
Explore
Data sources
Source-backed data
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.