Ignacio Duque1, María Felicitas Domínguez-Berjón2, Alba Cebrecos3, María Dolores Prieto-Salceda4, Santiago Esnaola5, Montserrat Calvo Sánchez5, Marc Marí-Dell'Olmo6. 1. Subdirección General de Tecnologías de la Información y las Comunicaciones, Instituto Nacional de Estadística, Madrid, España. Electronic address: ignacio.duque.ra@gmail.com. 2. Dirección General de Salud Pública, Consejería de Sanidad, Comunidad de Madrid, Madrid, España. 3. Grupo de Investigación Social y Cardiovascular, Universidad de Alcalá de Henares, Alcalá de Henares (Madrid), España; Departamento de Geología, Geografía y Ciencias Ambientales, Alcalá de Henares (Madrid), España. 4. Observatorio de Salud Pública de Cantabria, Fundación Marqués de Valdecilla, Consejería de Sanidad, Santander, España. 5. Estudios e Investigación Sanitaria, Dirección de Planificación, Ordenación y Evaluación, Departamento de Salud, Gobierno Vasco, Vitoria (Álava), España. 6. Agència de Salut Pública de Barcelona, Barcelona, España; CIBER de Epidemiología y Salud Pública (CIBERESP), España; Institut d'Investigació Biomèdica Sant Pau, Barcelona, España.
Abstract
OBJECTIVE: To present the methodology used in the design and implementation of a deprivation index by enumeration district, and to describe the socioeconomic situation of Spain in 2011. METHOD: The unit of analysis was the enumeration district (N=35,960). Data came from the 2011 Population and Housing Census of Spain. Given both the sampling nature of the Census and the regulatory limitations of data confidentiality, variables were calculated indirectly by using the complement of the available variables. Checks were made to ensure reliability. The selection of the indicators took into account comparability with the MEDEA index. The inclusion of additional information was explored. A deprivation index was built using Principal Component Analysis. Sensitivity analysis of the index was performed for urban areas and the rest of the regions. RESULTS: Using the census information, 22 indicators were calculated for 35,917 enumeration districts. The deprivation index was based on six indicators: manual and temporary workers, unemployment, insufficient education overall and in young people (aged 16 to 29 years), and dwellings without access to the internet. The map of Spain shows a gradient of decreasing deprivation from south-west to north-east. CONCLUSIONS: The socioeconomic information of the 2011 census by enumeration district was used systematically. The drafted index, similar to the MEDEA, will facilitate the updated study of health inequalities for Spain overall following the economic recession that began in 2008.
OBJECTIVE: To present the methodology used in the design and implementation of a deprivation index by enumeration district, and to describe the socioeconomic situation of Spain in 2011. METHOD: The unit of analysis was the enumeration district (N=35,960). Data came from the 2011 Population and Housing Census of Spain. Given both the sampling nature of the Census and the regulatory limitations of data confidentiality, variables were calculated indirectly by using the complement of the available variables. Checks were made to ensure reliability. The selection of the indicators took into account comparability with the MEDEA index. The inclusion of additional information was explored. A deprivation index was built using Principal Component Analysis. Sensitivity analysis of the index was performed for urban areas and the rest of the regions. RESULTS: Using the census information, 22 indicators were calculated for 35,917 enumeration districts. The deprivation index was based on six indicators: manual and temporary workers, unemployment, insufficient education overall and in young people (aged 16 to 29 years), and dwellings without access to the internet. The map of Spain shows a gradient of decreasing deprivation from south-west to north-east. CONCLUSIONS: The socioeconomic information of the 2011 census by enumeration district was used systematically. The drafted index, similar to the MEDEA, will facilitate the updated study of health inequalities for Spain overall following the economic recession that began in 2008.
Keywords:
Censo; Census; Deprivation index; Desigualdades en salud; España; Factores socioeconómicos; Health inequalities; Small area; Socioeconomic factors; Spain; Área pequeña; Índice de privación
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