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San Asensio

City in La Rioja, Spain

Overview

San Asensio is a picturesque village in the heart of La Rioja's wine country, renowned for its historic heritage and excellent local wines. Its intimate atmosphere and scenic surroundings make it ideal for a peaceful getaway focused on gastronomy and culture.

Geographic Context

Jurisdiction
Spain
Province
La Rioja
Population
1,099
Time Zone
Europe/Madrid
Coordinates
42.50°, -2.75°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
88
Food Safety
97
Monthly Cost · estimate
$1,268
Local Cost
$808
Local Income
$1,250
Cashless
48
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
101 Mbps
Upload
51 Mbps
Latency
18 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
5
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
RJL
Distance
36 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 2026-03-22.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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