Gelves
City in Sevilla, Spain
Overview
Gelves is a charming riverside town just southwest of Sevilla, known for its marina on the Guadalquivir and a relaxed Andalusian atmosphere. It offers a mix of residential comfort, local traditions, and proximity to Seville's lively city life. Its small size allows for a more peaceful retreat with local flair.
Geographic Context
Jurisdiction
Spain
Province
Sevilla
Population
10,473
Time Zone
Europe/Madrid
Coordinates
37.33°, -6.03°
Key Metrics
Safety Score
86
Female Safety
84
LGBTQ+ Safety
82
Traffic Safety
78
Food Safety
95
Monthly Cost
$1,600
Local Cost
$1,040
Local Income
$1,400
Cashless
60
English
34
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
392 Mbps
Upload
201 Mbps
Latency
15 ms
City Vibrancy
20
Coworking
0
Cafes
1
Nightlife
4
Parks
15
Transport
44
Walk Score
44
Footways
87.0
Airport
SVQ
Distance
15 km
Explore
Neighborhoods
PartialCoverage is incomplete — additional neighborhoods are being added as more source data is processed.
Coverage is incomplete — more neighborhoods are being added.
View all 2 neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 7 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 2 source-backed neighborhood entities are available for this city. Updated 2026-03-25.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 72/100.