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Alesanco

City in La Rioja, Spain

Overview

Alesanco is a picturesque wine village set in the heart of La Rioja, Spain, known for its friendly community, beautiful rural landscapes, and rich winemaking traditions. With fewer than 500 residents, it offers an authentic, quiet escape into Spanish countryside and local life.

Geographic Context

Jurisdiction
Spain
Province
La Rioja
Population
480
Time Zone
Europe/Madrid
Coordinates
42.41°, -2.82°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
88
Food Safety
95
Monthly Cost · estimate
$1,300
Local Cost
$822
Local Income
$1,200
Cashless
45
English
28
Temperature
11.0°C
Summer Avg
18.6°C
Winter Avg
3.8°C
Record High
37.8°C
Record Low
-11.6°C
Humidity
75%
Precipitation
621 mm
Internet Speed
380 Mbps
Upload
263 Mbps
Latency
12 ms
City Vibrancy
7
Coworking
0
Cafes
0
Nightlife
4
Parks
3
Transport
1
Walk Score
1
Footways
1.0
Airport
RJL
Distance
41 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 14 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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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