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San Vicente del Raspeig/Sant Vicent del Raspeig
City in Alicante, Spain
Overview
San Vicente del Raspeig, bordering the city of Alicante, is a lively university town known for its welcoming atmosphere, local festivals, and close-knit community. Its proximity to the Mediterranean coast and busy student life make it an appealing destination for visitors seeking an authentic Spanish experience.
Geographic Context
Jurisdiction
Spain
Province
Alicante
Population
—
Time Zone
Europe/Madrid
Coordinates
38.40°, -0.52°
Key Metrics
Safety Score · estimate
80
Female Safety
82
LGBTQ+ Safety
85
Traffic Safety
77
Food Safety
97
Monthly Cost · estimate
$1,860
Local Cost
$1,038
Local Income
$1,300
Cashless
65
English
40
Temperature
16.7°C
Summer Avg
24.8°C
Winter Avg
9.2°C
Record High
41.8°C
Record Low
-4.2°C
Humidity
66%
Precipitation
329 mm
Internet Speed
355 Mbps
Upload
303 Mbps
Latency
11 ms
City Vibrancy
131
Coworking
0
Cafes
41
Nightlife
33
Parks
57
Transport
100
Walk Score
100
Footways
482.0
Airport
ALC
Distance
13 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-10.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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