Dataset of the COVID-19 post-lockdown survey conducted by GIPEyOP in Spain.

2020 was a year marked by COVID-19, an infectious disease caused by the SARS-CoV-2 virus. Since the official beginning of the pandemic (March 2020), the authorities in Spain have been imposing significant restrictions (mainly on mobility) to stop the spread of the disease. In October 2020, the research group GIPEyOP (Elections and Public Opinion Research Group from the University of Valencia) conducted a survey to analyse whether the Spanish population has maintained or modified their habits and customs once the strict measures imposed in Spain during the onset of the pandemic were relaxed. This article describes the dataset collected, which is provided as an attachment. The dataset is made up of 196 variables, following elimination of those variables that could potentially identify the respondents to ensure their anonymity. Over 22 days, from September 23 to October 14, 2020, GIPEyOP collected 1755 valid responses. Respondents were contacted by chain or snowball sampling via email and social media and answered a self-administered web questionnaire consisting of 40 questions. amongst other uses, the resulting dataset can be (re)used to analyse whether the period of home confinement that Spaniards experienced between March and June 2020 has caused them to change their habits and customs, such as how often they do sport or go to bars or restaurants. The data also permit the study of whether there have been changes in the distribution of household chores by comparing three clearly differentiated moments (before confinement, during confinement and after confinement), what type of work (telework or face-to-face) the respondents would prefer or to know how the management of the crisis by govern authorities impacted on their votes preferences.

Dataset of the COVID-19 lockdown survey conducted by GIPEyOP in Spain.

This article introduces a dataset that captures relevant information about the living conditions, feelings, and habits of residents in Spain during ninety nine days of home confinement. This and other measures, imposed by the Government of Spain to mitigate the impact of the pandemic on the population, have brought with them important economic, labor, and social changes, which have been accompanied by various modifications (some only temporary) in Spaniards habits and behaviours. Data collection was carried out through the implementation of a questionnaire with 33 questions, which was sent by email to the collaborators of GIPEyOP (Elections and Public Opinion Research Group from the University of Valencia). These collaborators, in turn, forwarded the questionnaire to their acquaintances using email and social networks, mainly WhatsApp, Facebook, and Twitter. This non-probabilistic methodology has generated a total of 8387 valid responses. The resulting dataset may be (re)used by sociologists, political scientists, economists, or psychologists, among others, to identify how household chores were distributed among family members during the lockdown, what impact the confinement had on the labor performance of workers, the extent of teleworking and on some (physical and psychological) health issues linked to the confinement, including relationships with the place of residence during confinement. The data also provides information on how social networks spread geographically or what Spaniards thought of the management of the crisis by local, national, and international authorities.

Spanish electoral archive. SEA database.

This paper introduces the SEA database (acronym for Spanish Electoral Archive). SEA brings together the most complete public repository available to date on Spanish election outcomes. SEA holds all the results recorded from the electoral processes of General (1979-2019), Regional (1989-2021), Local (1979-2019) and European Parliamentary (1987-2019) elections held in Spain since the restoration of democracy in the late 70 s, in addition to other data sets with electoral content. The data are offered for free and is presented in a homogeneous and friendly format. Most of the databases are available for download with data from various electoral levels, including from the ballot box level. This paper details how the information is organized, what the main variables are on offer for each election, which processes were applied to the data for their homogenization, and discusses future areas of work. This data has many applications, for example, as inputs in election prediction models and in ecological inference algorithms, to study determinants of turnout or voting, or for defining marketing strategies.