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els Poblets
City in Valencia, Spain
Overview
Els Poblets is a charming, small coastal town in Valencia, Spain, known for its Mediterranean beaches, peaceful vibe, and blend of local Spanish and ex-pat communities. Here, quiet residential neighborhoods meet historic village life, making it an ideal getaway for relaxation and authentic cultural experiences.
Geographic Context
Jurisdiction
Spain
Province
Valencia
Population
2,684
Time Zone
Europe/Madrid
Coordinates
38.85°, 0.02°
Key Metrics
Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
78
Traffic Safety
92
Food Safety
95
Monthly Cost · estimate
$1,763
Local Cost
$1,055
Local Income
$1,550
Cashless
70
English
28
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
372 Mbps
Upload
306 Mbps
Latency
15 ms
City Vibrancy
28
Coworking
0
Cafes
10
Nightlife
9
Parks
9
Transport
38
Walk Score
38
Footways
75.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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