DOI: 10.20350/digitalcsic/16641
title: Study of the vulnerability of rented homes caused by rental prices and energy bills in three cities in different climatic zones of Spain: Santander, Madrid and Malaga

description: [Description of methods used for generation of data] The study consists of the generation of a data model using geo-referenced information that allows an assessment of the spatial distribution of different indicators related to the renting of dwellings. This includes the analysis of rental prices, energy bills and income level. Data at the census precint scale are used. The methodology used starts with the search for available information in robust databases. The information is combined in order to carry out an in-depth analysis of the issues raised in the object of the study and the interactions among them. [Methods for processing the data] Basic statistical methods and vector data geospatial analysis operations have been used for data processing. [Relationship between files] FIRST DATASET: Results regarding energy and rent expenses pressure over the income level: an absolute value information is included for all census tracts for which rental price, energy efficiency, and household income data are available SECOND DATASET: Stressed areas indicators: Includes those census tracts from the previous files that exceed the average values for each city in rental price, and are below the average values for energy efficiency and household income
description: [EN] The study presented here involves the development by the Instituto de Ciencias de la Construcción Eduardo Torroja (IETcc), belonging to the Agencia Estatal Consejo Superior de Investigaciones Científicas (CSIC), of a model on the energy performance of the rental housing stock through the analysis of three cities located in different climatic zones of Spain, with different heating and cooling needs (Santander, Madrid and Malaga). Existing databases published in open source are used to develop a tool to evaluate possible interactions between energy bills, housing rental costs and income level in households located in stressed residential market areas. As a result, the pressure of bills for the average dwelling (energy and rent price) on the average income of each census tract in the three cities analyzed is provided. The areas that exceed the mean values on the three indicators (rental price, energy bills and household income) are also detected and those that exceed the mean value for each of the three cities, increased by the standard deviation for each of the three indicators, are identified as critical areas. These results allow us to identify the stressed areas where housing expenditures exceed 30% of disposable income globally for the three cities. In addition, they provide a detailed analysis of the indicators in the stressed areas on a case-by-case approach for each of the three cities.
description: [ES] El trabajo que se presenta supone el desarrollo por parte del Instituto de Ciencias de la Construcción Eduardo Torroja (IETcc), perteneciente a la Agencia Estatal Consejo Superior de Investigaciones Científicas (CSIC), de un modelo sobre el comportamiento energético del parque de viviendas en alquiler a través del análisis de tres ciudades situadas en diferentes zonas climáticas de España, con diferentes necesidades de calefacción y de refrigeración (Santander, Madrid y Málaga). Se utilizan bases de datos existentes publicadas en abierto para desarrollar una herramienta que permite evaluar posibles interacciones entre el coste de la energía, el coste del alquiler y el nivel de renta en los hogares situados en zonas de mercado residencial tensionado. Como resultado se ofrece la presión de las facturas para la vivienda media (energía y precio del alquiler) sobre la renta media de cada sección censal en las tres ciudades analizadas. También se detectan las áreas que superan los valores medios para cada uno de los indicadores (precio alquiler, facturas energéticas y renta del hogar) y se identifican como áreas críticas aquellas que superan el valor medio de cada una de las tres ciudades incrementadas con la desviación típica para cada uno de los tres indicadores. Estos resultados permiten identificar las áreas tensionadas donde los gastos de la vivienda superan el 30% de la renta disponible de manera global para las tres ciudades. Además, permiten el análisis pormenorizado de los indicadores en las áreas tensionadas de manera particularizada para cada una de las tres ciudades.
description: FIRST DATASET: Pressure of bills on income level: Santander_presion.shp, Madrid_presion.shp, Malaga_presion.shp.-- SECOND DATASET: Stressed areas indicators: Santander_tensionadas_y_renta.shp, Madrid_tensionadas_y_renta.shp, Malaga_tensionadas_y_renta.shp