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Atzeneta d'Albaida

City in Valencia, Spain

Overview

Atzeneta d'Albaida is a small, tranquil municipality in the Valencian Community of Spain, set among lush valleys and agricultural landscapes. It charms visitors with its historic streets, friendly locals, and access to nature.

Geographic Context

Jurisdiction
Spain
Province
Valencia
Population
1,169
Time Zone
Europe/Madrid
Coordinates
38.83°, -0.50°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,233
Local Cost
$792
Local Income
$1,350
Cashless
40
English
30
Temperature
16.1°C
Summer Avg
25.2°C
Winter Avg
7.9°C
Record High
42.7°C
Record Low
-6.7°C
Humidity
64%
Precipitation
358 mm
Internet Speed
33 Mbps
Upload
33 Mbps
Latency
36 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
7
Walk Score
7
Footways
13.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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