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Casas-Ibáñez

City in Albacete, Spain

Overview

Casas-Ibáñez is a charming small town in the province of Albacete, Spain, known for its peaceful atmosphere, historic streets, and natural surroundings. Its proximity to the Cabriel river makes it popular for outdoor and adventure activities.

Geographic Context

Jurisdiction
Spain
Province
Albacete
Population
4,591
Time Zone
Europe/Madrid
Coordinates
39.29°, -1.47°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
77
Traffic Safety
88
Food Safety
95
Monthly Cost · estimate
$1,203
Local Cost
$725
Local Income
$1,300
Cashless
40
English
28
Temperature
14.3°C
Summer Avg
24.1°C
Winter Avg
5.8°C
Record High
41.9°C
Record Low
-10.0°C
Humidity
63%
Precipitation
380 mm
Internet Speed
218 Mbps
Upload
231 Mbps
Latency
5 ms
City Vibrancy
25
Coworking
0
Cafes
0
Nightlife
0
Parks
25
Transport
7
Walk Score
7
Footways
14.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 31 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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