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[EN] This survey provides detailed information on the Spanish population’s attitudes toward immigration and immigrants, as well as a wide array of potential covariates such as sociodemographic characteristics, perceptions of economic and social context and political attitudes, among others. The survey was fielded in October of 2020, combining self-administered online interviews (CAWI) and telephone interviews (CATI), to a sample of Spanish nationals residing in Spain (N=2,344). This survey was part of the research project “Explaining Placid Attitudes toward Immigrants in Spain (EASIE)”, funded by MCIN/ AEI /10.13039/501100011033/ and by ERDF “A way of making Europe” (CSO2017-87364-R; Principal Investigator: Sebastian Rinken)., [ES] Esta encuesta proporciona información detallada sobre las actitudes de la población española hacia el hecho inmigratorio y las personas inmigradas, así como un amplio abanico de variables potencialmente relacionadas con ellas (rasgos sociodemográficos; percepciones del contexto económico y político; actitudes políticas; etc.). La encuesta fue ejecutada en octubre de 2020 mediante una combinación de entrevistas auto-administradas por internet (CAWI) y entrevistas telefónicas (CATI) dirigidas a una amplia muestra de la población residente en España y con nacionalidad española (N=2.344). La encuesta se realizó en el marco del proyecto de investigación “Explicando Actitudes Sosegadas hacia los Inmigrantes en España (EASIE)”, financiado por MCIN/ AEI /10.13039/501100011033/ y por FEDER “Una manera de hacer Europa” (CSO2017-87364-R; investigador principal: Sebastian Rinken).

The study focuses on migration attitudes in the Southern Spanish region of Andalusia, aiming to clarify three main interrogatives: (1) How did attitudes toward immigration and immigrants evolve amidst the context of unprecedented immigration flows across the Mediterranean? (2) Do attitudes toward immigrants evolve in parallel to opinions and attitudes regarding immigration as such? (3) How widespread is anti-immigrant sentiment, net of the distortions caused by social desirability pressures? These objectives were derived from prior research, including various surveys on migration attitudes in Andalusia which serve as benchmarks regarding time trends. The data suggest, firstly, that the so-called refugee crisis did not alter Andalusians’ migration attitudes substantively; secondly, that the (inter)personal component of immigration attitudes is largely disconnected from general impact assessments and policy preferences; and thirdly, that albeit estimates of anti-immigrant sentiment increase in non-obtrusive measurement, generalized antipathy toward immigrants appears to be a minority proposition in Andalusia. The dataset contains 77 columns (=variables) and 1,232 lines(=cases).

To minimize coverage and participation biases, this web survey adopted two complementary sampling strategies: (a) SMS invitations to random-number mobile phones, and (b) Internet advertisements targeting specific sociodemographic groups. This combination of aleatory selection from a rather comprehensive sampling frame, on one hand, and responsive definition of target profiles, on the other, largely succeeded in adjusting the sample to relevant population parameters, albeit with the noteworthy exception of education level.

[ES] ESPACOV examina las opiniones de la ciudadanía española con respecto a la crisis multifacética originada por la pandemia COVID-19, centrándose principalmente en evaluaciones de intervenciones no sanitarias reales y potenciales. El cuestionario también incluye elementos sobre la experiencia de confinamiento como tal, el grado de preocupación con respecto a la posibilidad de infección, así como el impacto social y económico de esta crisis. La encuesta se realizó en la cuarta semana del confinamiento generalizado impuesto el 14 de marzo de 2020 por el gobierno español. Se aplicaron dos procedimientos de muestreo consecutivamente: 1º. Envío aleatorio de invitaciones por SMS a teléfonos móviles en volúmenes proporcionales a los rangos de prefijos asignados por el regulador español de telecomunicaciones para uso residencial. 2º. Anuncios pagados en Facebook e Instagram que invitan a completar el cuestionario Ambas ramas de muestreo proporcionaron enlaces no paramétricos al sitio web de la encuesta (encuestacovid19.net). La muestra obtenida asciende a N = 2.391 (1.397 de los cuales proceden de la rama de SMS y 994 de la rama de anuncios). Los datos brutos fueron ponderados por ajustes iterativos (rake) con respecto al tamaño del municipio, área geográfica (NUTS-1), grupo de edad, sexo y nivel educativo. Los primeros resultados se publicaron el 24 de abril en el sitio web del CSIC (www.csic.es). El conjunto de datos contiene 78 columnas (= variables) y 2.391 filas (= casos). El conjunto de datos no contiene datos personales, ni se han recopilado en ninguna etapa del proceso., [EN] ESPACOV examines the opinions of Spain’s citizenry regarding the multifaceted crisis originated by the COVID-19 pandemic, focusing mainly on assessments of actual and potential non-pharmaceutical interventions. The questionnaire also comprises items on the lockdown experience as such, the degree of concern regarding the possibility of infection, as well as the social and economic impact of this crisis. The survey was fielded in the fourth week of the generalized lockdown imposed on March 14th, 2020, by the Spanish government. Two sampling procedures were applied consecutively: 1º. Random-number mailing of SMS invitations to mobile phones in volumes proportionate to the ranges of prefixes assigned by the Spanish telecoms regulator for residential use. 2º. Paid advertisements on Facebook and Instagram inviting to fill in the questionnaire Both sampling branches provided non-parametric links to the survey ‘s website (encuestacovid19.net). The obtained sample amounts to N=2,391 (1,397 of which proceed from the SMS branch and 994 from the Ads branch). Raw data were weighted by iterative (rake) adjustments regarding municipality size, geographic area (NUTS-1), age group, sex, and education level. First results were published on April 24th on the CSIC website (www.csic.es). The dataset contains 78 columns (=variables) and 2,391 lines (=cases). The dataset contains no personal data, nor have such data been collected at any stage of the process.