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Vergel

City in Valencia, Spain

Overview

Vergel is a charming small town in Valencia, Spain, set between the mountains and the Mediterranean Sea. Known for its relaxed pace, traditional festivals, and easy access to beautiful beaches, it's an ideal destination for those seeking authentic local culture.

Geographic Context

Jurisdiction
Spain
Province
Valencia
Population
4,409
Time Zone
Europe/Madrid
Coordinates
38.85°, 0.01°

Key Metrics

Safety Score · estimate
87
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,630
Local Cost
$1,070
Local Income
$1,500
Cashless
55
English
30
Temperature
18.1°C
Summer Avg
24.8°C
Winter Avg
12.0°C
Record High
36.6°C
Record Low
2.3°C
Humidity
71%
Precipitation
457 mm
Internet Speed
224 Mbps
Upload
231 Mbps
Latency
16 ms
City Vibrancy
32
Coworking
0
Cafes
10
Nightlife
10
Parks
12
Transport
60
Walk Score
60
Footways
119.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 27 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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