The number of COVID-19 cases in Spain amounted to around 13.9 million as of June 28, 2023. As of that date, the Spanish authorities had confirmed approximately 121,760 deaths as a result of complications stemming from the disease, most of them reported in Madrid and Catalonia, with 21,361 deaths and 21,241 casualties related to COVID-19, respectively.Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

In past 24 hours, Spain, Europe had N/A new cases, N/A deaths and N/A recoveries.

As of June 28, 2023, the Spanish region suffering the highest number of COVID-19 cases was Catalonia, with over 2.6 million patients. The impact in the community of Madrid and Andalusia was also significant, with more than two million and approximately 1.65 million confirmed cases of the disease, respectively.

The outbreak in Spain The first confirmed case of COVID-19 in Spain was documented in La Gomera, Canary Islands, at the end of January 2020. Since then, Spanish authorities have reported around 13.9 million cases and over 121,000 deaths as a result of complications stemming from the disease. Not only the highest number of cases, but also most deaths have been reported in Catalonia and the Community of Madrid.

COVID-19: background information COVID-19 is a disease caused by a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. Since then, multiple cases have been reported each day. At the beginning of the pandemic, few was known regarding the virus. Though some aspects still remain unclear, more information has been collected since the outbreak started, allowing a better understanding of the disease and its prevention and treatment, including the production of new vaccines.

Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

The dataset used in the paper is the COVID-19 pandemic data from Spain, which includes the number of new infected, dead, and recovered cases.

The cumulative number of COVID-19 cases in Spain amounted to nearly 14 million as of May 11, 2025. Since Spain confirmed its first case, the authorities have reported approximately 122,000 deaths as a result of complications stemming from the disease, most of them in Madrid. COVID-19: background information COVID-19 is a disease caused by a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. Multiple cases have been reported each day. At the beginning of the pandemic, few was known regarding the virus. Though some aspects still remain unclear, more information has been collected since the outbreak started, allowing a better understanding of the disease and its prevention and treatment, including the production of new vaccines. Immunization in Spain As of May 24, 2023, around 87 percent of the population in Spain had received at least one dose of a vaccine against COVID-19. Moreover, approximately 86 percent were already fully vaccinated. As of August 5, 2022, the number of pre-ordered doses of COVID-19 vaccines in the country amounted to 283.3 million, more than half of which were produced by Pfizer/BioNTech. Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

The number of COVID-19 vaccination doses administered in Spain rose to 105799888 as of Oct 27 2023. This dataset includes a chart with historical data for Spain Coronavirus Vaccination Total.

Dataset

This dataset was created by Zollkron

Released under CC0: Public Domain

Contents

As of January 2022, the share of COVID-19 cases corresponding to the Omicron variant in Spain amounted to nearly 85 percent of the country's analyzed sequences of the SARS-CoV-2 virus. A month earlier this figure was equal to 54 percent of cases studied in the country. The Omicron variant of SARS-CoV-2 - the virus causing COVID-19 - was designated as a variant of concern by the World Health Organization in November 2021. Since then, it has been rapidly spreading, causing an unprecedented increase in the amount of cases reported worldwide.

Find the most up-to-date information about the coronavirus pandemic in the world under Statista’s COVID-19 facts and figures site.

Spain recorded 120964 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Spain reported 13845825 Coronavirus Cases. This dataset includes a chart with historical data for Spain Coronavirus Deaths.

Spain recorded 150376 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, Spain reported 88542 Coronavirus Deaths. This dataset includes a chart with historical data for Spain Coronavirus Recovered.

This dataset presents a large-scale collection of millions of Twitter posts related to the coronavirus pandemic in Spanish language. The collection was built by monitoring public posts written in Spanish containing a diverse set of hashtags related to the COVID-19, as well as tweets shared by the official Argentinian government offices, such as ministries and secretaries at different levels. Data was collected between March and August 2020 using the Twitter API.

In addition to tweets IDs, the dataset includes information about mentions, retweets, media, URLs, hashtags, replies, users and content-based user relations, allowing the observation of the dynamics of the shared information. Data is presented in different tables that can be analysed separately or combined.

The dataset aims at serving as source for studying several coronavirus effects in people through social media, including the impact of public policies, the perception of risk and related disease consequences, the adoption of guidelines, the emergence, dynamics and propagation of disinformation and rumours, the formation of communities and other social phenomena, the evolution of health related indicators (such as fear, stress, sleep disorders, or children behaviour changes), among other possibilities. In this sense, the dataset can be useful for multi-disciplinary researchers related to the different fields of data science, social network analysis, social computing, medical informatics, social sciences, among others.

This dataset contains the coding of content analysis of a sample of hoaxes debunked by three fact checkers in Spain (N = 533): Maldita.es (N = 327), Newtral (N = 143), and EFE Verifica (N = 63). Coding includes de following variables:

  0. Subject of the hoax: science/health, politics/government, other. 

Platform used to spread the hoax: networks (in general), Twitter, Facebook, WhatsApp, Instagram, YouTube, and others.

Formats used: text, audio, image, video, other.

Geographical scope: local, national, international, unspecified/not applicable.

Type of hoax: joke, exaggeration, decontextualization, deception.

Topic of hoaxes related to science/health: scientific research, scientific policy and health management, advice issued to the public, and others.

Topic of hoaxes related to scientific research: origin of the virus, transmissibility, fatality rate, treatments, vaccines, etc.

Source type: anonymous, spoofed, fictitious, real.

Non-anonymous sources: members of the public, business, government, professional, healthcare/science.

Type of healthcare/science sources: researchers, international scientific organizations, national scientific organizations, health professionals, and others.

Coronavirus Disease (COVID-19) statistics data from Ministerio de Sanidad, Consumo y Bienestar Social, ordered by days and Spanish regions. National level variables in file nacional_covid19.csv: Date of notification, Accumulated confirmed cases, Accumulated recovered, Accumulated deceased, Accumulated cases that have required hospitalization (include admitted to the IC), Accumulated cases that have required admission to the IC National level variables in file nacional_covid19_rango_edad.csv: Date of notification, age range, gender, Accumulated confirmed cases (Data obtained from the analysis of a daily variable percentage of cases reported), Accumulated cases that have required hospitalization (include admitted to the IC) (Data obtained from the analysis of a daily variable percentage of cases reported), Accumulated cases that have required admission to the IC (Data obtained from the analysis of a daily variable percentage of cases reported), Accumulated deceased (Data obtained from the analysis of a daily variable percentage of cases reported) Comunidad Autónoma level variables: Date of notification, National Statistics Institute code of the autonomous community, Autonomous community, confirmed cases registered, deceased cases registered, Cases that have required hospitalization (include admitted to the IC), Cases that have required admission to the IC, Accumulated recovered cases

Last updated: 20/05/2020

Cases of COVID-19 in Spain by region ("Comunidad Autonoma"). The following five variables are included:

• Confirmed cases (CASOS)
• Hospital cases (HOSPITAL)
• UCI cases (UCI)
• Death cases (FALLECIDOS)
• Recovered cases (RECUPERADOS)

The source data is updated daily and can be obtained from here:

https://datos.gob.es/es/catalogo/e05070101-evolucion-de-enfermedad-por-el-coronavirus-covid-19

We report data from an online experiment, which allow us to study how generosity has changed during the initial explosive growth of the Covid-19 pandemic in Spain. We have gathered data from over a six-day period in which Covid-19-associated deaths in Spain, one of the most affected countries in the corresponding period, increased fourfold. In our experiment, participants could donate a fraction of a €100 prize to a charity. Our data are particularly rich in the age distribution and we complement them with daily public information about the Covid-19-related deaths, infections, and hospital admissions. We find correlational evidence that donations decreased in the period under study and scale down with the public information about the life and health impact of the pandemic. The effect is particularly pronounced among older subjects. Our analysis of the mechanisms behind the detected decrease in solidarity suggests that subjects’ expectations about others’ behavior, perceived mortality risk, and (alarming) information in behavioral adaptation play a key—but independent—role.

Context

The dataset was extracted from Datadista github repository.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

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A dataset containing the number of cases and deaths by region and group of age in Spain, from the beginning of the pandemic up to July 19th. The number of hospitalized patients and patients in the intensive care units (ICU) are also provided.

Given that the situation in the country is worsening again with each day that passes, it would be interesting to see the evolution in the past months and which group ages are more affected.

Iso codes cheatsheet:

A Alicante/Alacant ​ AB Albacete AL Almería AV Ávila B Barcelona (Barcelona) ​ BA Badajoz BI​ Bizkaia 4​(Vizcaya) BU Burgos C A Coruña (La Coruña) ​ CA Cádiz CC Cáceres CO Córdoba CR Ciudad Real CS Castellón/Castelló ​ CU Cuenca GC​ Las Palmas GI Girona (Gerona) ​ GR Granada GU Guadalajara H Huelva HU Huesca J Jaén L Lleida (Lérida) ​ LE León LO​ La Rioja LU Lugo (Lugo) ​ M Madrid MA Málaga MU Murcia NA Navarra/Nafarroa ​ O​ Asturias OR Ourense (Orense) ​ P Palencia PM​ Balears (Baleares) ​ PO Pontevedra (Pontevedra) ​ S​ Cantabria SA Salamanca SE Sevilla SG Segovia SO Soria SS​ Gipuzkoa 4​(Guipúzcoa) T Tarragona (Tarragona) ​ TE Teruel TF Santa Cruz de Tenerife TO Toledo V Valencia/València ​ VA Valladolid VI​ Araba/Álava 4​ Z Zaragoza ZA Zamora

Data is publicly provided by Spain's government.

Based on a research study focused on the posts of the Spanish Ministry of Health on Instagram, 1412 posts were analyzed, divided into three periods: pre-pandemic, pandemic, and post-pandemic. During the pre-pandemic period, there were 313 posts with an average frequency of 0.56 posts per day, while in the pandemic and post-pandemic periods, the daily frequency increased to 1.55 and 0.85 respectively. Engagement showed significant variations, with notable increases during the pandemic and lower average values post-pandemic. The use of hashtags focused on topics such as #COVID19 and #MentalHealth during the pandemic, reflecting a strategy centered on public health issues.

This Project Tycho dataset includes a CSV file with COVID-19 data reported in SPAIN: 2019-12-30 - 2021-07-31. It contains counts of cases, deaths, and demographics. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "National Epidemiology Center; Data reported to the National Surveillance Network Epidemiological through SiViES (Surveillance System of Spain)", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

The tourism sector GDP share in Spain was forecast to continuously increase between 2023 and 2028 by in total 3.7 percentage points. The share is estimated to amount to 14.83 percent in 2028. While the share was forecast to increase significant in the next years, the increase will slow down in the future.Depited is the economic contribution of the tourism sector in relation to the gross domestic product of the country or region at hand.The forecast has been adjusted for the expected impact of COVID-19.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).