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Aznalcóllar

City in Sevilla, Spain

Overview

Aznalcóllar is a tranquil Andalusian town set in the foothills northwest of Sevilla, notable for its mining history and scenic countryside. With a close-knit community and authentic local charm, it offers a peaceful atmosphere and easy access to both nature and Sevilla's urban energy.

Geographic Context

Jurisdiction
Spain
Province
Sevilla
Population
6,079
Time Zone
Europe/Madrid
Coordinates
37.52°, -6.27°

Key Metrics

Safety Score · estimate
82
Female Safety
75
LGBTQ+ Safety
72
Traffic Safety
78
Food Safety
90
Monthly Cost · estimate
$1,585
Local Cost
$852
Local Income
$1,100
Cashless
55
English
30
Temperature
18.0°C
Summer Avg
27.5°C
Winter Avg
9.6°C
Record High
46.3°C
Record Low
-4.6°C
Humidity
63%
Precipitation
468 mm
Internet Speed
257 Mbps
Upload
235 Mbps
Latency
12 ms
City Vibrancy
8
Coworking
0
Cafes
1
Nightlife
0
Parks
7
Transport
28
Walk Score
28
Footways
56.0
Airport
SVQ
Distance
35 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 31 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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