The coronavirus (COVID-19) has spread through Germany between 2020 and 2024. As of April 2024, there were over 38.8 million cases recorded in the country. . Click here for more statistical data and facts on the coronavirus.

This dataset contains data regarding COVID-19 cases in Germany by Landkreise (district). It was originally published by the Robert Koch-Institut (RKI).For each Landkreis, data is available about: number of cases (cumulative), number of cases per 100 000 persons (cumulative or only the last seven days), percentage of cases (cumulative number of cases among the Landkreis population), number of deaths (cumulative) and death rate (percentage of deaths among the cases).The dataset also contains various geo-administrative information, such as populations, geographical shapes and administrative codes.Enrichment:Dates given in German format have been converted to ISO datetime.

The coronavirus (COVID-19) epidemic in Germany began in March 2020, with high new daily case numbers still being recorded during 2023. The pandemic is ongoing.

Staying home

The coronavirus (COVID-19) outbreak was declared a pandemic by the World Health Organisation on March 11, 2020. This declaration immediately impacted life in Germany on all levels. Rising coronavirus (COVID-19) case numbers in March-April led to the swift implementation of nationwide distancing and crowd control measures to stop further spread of the virus, which primarily transferred most easily from person to person. From a large-scale economic shutdown, venue, school, daycare and university closures, to social distancing and the contact ban officially implemented by the German government, seemingly in the space of days life as the population knew it came to a standstill in the whole country.

Unlockdown

Later in April 2020, Germany began easing some of the restrictions related to the coronavirus (COVID-19) outbreak as case numbers began to drop. Elements of uncertainty remain and touch on various aspects, for example, regarding national mental and physical health, both among adults and children, the possibility of long-term effects from the virus, immunity. A rising worry among European nations was economic recovery.

In 2023, the coronavirus (COVID-19) is still present in Germany, affecting all of its federal states. Case numbers vary across age groups and genders. Based on current figures, among men, the most affected age group was 35-59 years. The same was true for women. These figures confirm that the virus can also affect younger age groups.

The coronavirus (COVID-19) has spread through Germany in 2020, with the epidemic still present in 2022. Based on the most recent figures, as of March 2022, Cologne had recorded the highest number of COVID-19 cases for its 7-day incidence rate, followed by Munich as far as cities were concerned.

Dataset

This dataset was created by Ian

Contents

Case data from 02-29-2020 to 08-16-2020, this data repository stores COVID-19 virus case data for Germany, including the daily case, summary data, and base map. Each zip file contains weekly case data from Monday to Sunday.

The coronavirus (COVID-19) has affected Germany across states and demographics. Based on current figures regarding confirmed cases, 51 percent of women and 49 percent of men have been infected with the virus. Even more statistical information and facts on the coronavirus pandemic are available here.

Germany COVID-2019: Number of Cases: To Date: CC: Thuringen data was reported at 887,661.000 Person in 21 Apr 2023. This records an increase from the previous number of 887,619.000 Person for 20 Apr 2023. Germany COVID-2019: Number of Cases: To Date: CC: Thuringen data is updated daily, averaging 128,658.000 Person from Mar 2020 (Median) to 21 Apr 2023, with 940 observations. The data reached an all-time high of 887,661.000 Person in 21 Apr 2023 and a record low of 1.000 Person in 06 Mar 2020. Germany COVID-2019: Number of Cases: To Date: CC: Thuringen data remains active status in CEIC and is reported by Robert Koch Institute. The data is categorized under High Frequency Database’s Disease Outbreaks – Table DE.D001: Robert Koch Institute: Coronavirus Disease 2019 (COVID-2019) (Discontinued).

As of June 12, 2022, Germany had the highest number of reported COVID-19 cases in Europe in the preceding two weeks at 564,584. Additionally, France has recorded 362,763 cases in the last two weeks. Furthermore, France has overall been the worst affected country in Europe overall since the pandemic began with over 29.7 million cases.

There have been around 218.7 million cases of COVID-19 in Europe. Furthermore, COVID-19 has so far been responsible for 1,997,179 confirmed deaths in Europe as of June12, with 179,272 of the deaths occurring in the UK.

For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

As of November 24, 2024 there were over 274 million confirmed cases of coronavirus (COVID-19) across the whole of Europe since the first confirmed cases in France in January 2020. France has been the worst affected country in Europe with 39,028,437 confirmed cases, followed by Germany with 38,437,756 cases. Italy and the UK have approximately 26.8 million and 25 million cases respectively. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

The Austrian ski resort of Ischgl is commonly claimed to be ground zero for the diffusion of the SARS-CoV-2 virus in the first wave of infections experienced by Germany. Drawing on data for 401 German counties, we find that conditional on geographical latitude and testing behavior by health authorities, road distance to Ischgl is indeed an important predictor of infection cases, but — in line with expectations — not of fatality rates. Were all German counties located as far from Ischgl as the most distant county of Vorpommern-Rügen, Germany would have seen about 45% fewer COVID-19 cases. A simple diffusion model predicts that the absolute value of the distance-to-Ischgl elasticity should fall over time when inter- and intra-county mobility are unrestricted. We test this hypothesis and conclude that the German lockdown measures have halted the spread of the virus.

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.

Germany COVID-2019: Number of Cases: To Date: CC: Sachsen Anhalt data was reported at 965,855.000 Person in 21 Apr 2023. This records an increase from the previous number of 965,794.000 Person for 20 Apr 2023. Germany COVID-2019: Number of Cases: To Date: CC: Sachsen Anhalt data is updated daily, averaging 99,208.000 Person from Mar 2020 (Median) to 21 Apr 2023, with 933 observations. The data reached an all-time high of 965,855.000 Person in 21 Apr 2023 and a record low of 7.000 Person in 10 Mar 2020. Germany COVID-2019: Number of Cases: To Date: CC: Sachsen Anhalt data remains active status in CEIC and is reported by Robert Koch Institute. The data is categorized under High Frequency Database’s Disease Outbreaks – Table DE.D001: Robert Koch Institute: Coronavirus Disease 2019 (COVID-2019) (Discontinued).

Linked COVID-19 Data derived from

Robert Koch Institute

using the COVID-19 Ontology

10.5281/zenodo.3757828

developed for the Linked COVID-19 Data Dashboard: http://covid19data.link

This files include data for

• covid19_rki*.ttl - single COVID-19 cases per day, collected by the RKI
  • https://www.arcgis.com/home/item.html?id=dd4580c810204019a7b8eb3e0b329dd6
  • "confirmed" is calcaulated by the column "Refdatum"
• covid19_rki_ger.ttl - COVID-19 cases per day for Germany, collected by the RKI
• covid19_rki_ger_cum.ttl - COVID-19 cases accumulated per day for Germany, collected by the RKI
• covid19_rki_fs.ttl - COVID-19 cases per day for the federal states in Germany, collected by the RKI
• covid19_rki_fs_cum.ttl - COVID-19 cases accumulated per day for the federal states in Germany, collected by the RKI

This RDF files are based on the NPGEO Corona Hub 2020

• https://opendata.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0.geojson
• https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0/data

The COVID-19 pandemic has had a major impact on health care. Shifts in inpatient and outpatient case numbers and morbidity have been quantified in other medical specialties (e.g., oncology and psychiatry). Such an analysis is lacking in neurological cases. Thus, we performed an anonymized, retrospective, multicenter analysis of administrative data from a network of 86 hospitals in Germany. Over 350,000 neurological cases admitted between January 2019 and December 2022 were included. The main outcome measures were: 1) deficit in inpatient hospital admissions during the pandemic compared to changes in outpatient cases; 2) morbidity, mortality, and complication rates during the pandemic; and 3) length of stay for inpatients. There was an evident deficit in inpatient admissions between -11% and -20%, which was not compensated for by outpatient cases. Furthermore, hospitalized patients exhibited several significantly increased measures of mortality (3.7% vs. 3.2%, p < 0.001) and morbidity compared to the pre-pandemic period. Interestingly, the proportion of patients with specific chronic comorbidities at risk for severe COVID-19, such as congestive heart failure, was lower during the pandemic (10% vs. 12%, p < 0.001). Finally, the length of hospital stay was shorter during the pandemic (i.e., 6.5 vs. 6.4 days during wildtype period, p < 0.001). These findings suggest a significant shift in hospital utilization patterns among neurology departments during the COVID-19 pandemic. While overall admissions decreased, average case severity was significantly higher. The latter was due to a selection bias because elective cases, less urgent and less morbid patients avoided hospital admission, or because their admission may have been delayed. A shorter length of stay was indicative of more efficient treatment. The avoidance of hospital care by patients with severe comorbidities could indicate a changed prioritization and utilization pattern but could also point to unmet health care needs. These observations underline the necessity for healthcare systems to adapt resource allocation and patient management strategies to ensure continuous quality of care during a pandemic.

Feature service with the current Covid-19 infections per 100,000 inhabitants on the German federal states. The service is updated daily with the current case numbers of the Robert Koch Institute.

Data source: Robert Koch Institute Terms of Use: Robert Koch Institute; German Federal Agency for Cartography and Geodesy Source note: Robert Koch-Institute (RKI), dl-en/by-2-0 Disclaimer: "The content made available on the Internet pages of the Robert Koch-Institute is intended solely for the general information of the public, primarily the specialist public". Data protection declaration: "The use of the RKI website is generally possible without disclosing personal data".

Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

The difficulties of death figures

This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

Where are these numbers coming from?

The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

The majority of university students in Germany have to work to earn a living. The closure of universities and the loss of many typical student jobs during the COVID-19 pandemic particularly affected their situation. We collected data on the employment and financial situation of students at a major German university. In contrast to previous studies, we are able to analyze changes in students’ income and its composition throughout the different phases of the pandemic between January 2020 and June 2021. Students’ job income declined by 66% (total income by 19%), on average, during the first lockdown. There was a quick recovery during the reopening. Job income fell again during the second lockdown, but this decrease was only half as large as that in the first lockdown. In line with our expectations, students from non-academic backgrounds were particularly affected by job income losses and compensated by increasing loan financing, which widened pre-existing funding inequalities. The financial impact led to increased intentions to drop out (12%) and to extend studies (26%), both with a peak during the second lockdown. With respect to social background, we do not observe any differential changes in intentions. This is a rather unexpected result and contradicts the hypotheses derived from the theory.

The infectious disease COVID-19, caused by the novel SARS-CoV-2 virus, which has been occurring since 2019, led to health policy and societal challenges. In order to be able to take appropriate measures to contain the pandemic and to gain new insights into the pandemic, there is an increased need for research on COVID-19. One starting point for this is the blood samples obtained from infected and non-infected persons, which are tested and analyzed in laboratories for antibodies against the SARS-CoV-2 virus. They provide information on the proportion of the population that has already been infected with SARS-CoV-2, including unrecognized infections (under-reporting).The project 'Observatory of serological studies on SARS-CoV-2 in Germany' (SERO-OBS Corona) provides an overview of antibody studies (so-called seroepidemiological studies) in Germany. The seroepidemiological studies are based on blood samples from citizens who were tested for antibodies against the SARS-CoV-2 virus at different times of the pandemic. For example, the following questions will be answered: What is the frequency of SARS-CoV-2 infections in different populations? What is the under-reporting factor, which shows how many times more infections have occurred compared to the previously known (reported) cases? In the present project, seroepidemiological studies on SARS-CoV-2 carried out in Germany have been continuously identified since spring 2020 via systematic searches in study registers, literature databases including pre-publications and media reports, and study information and results overviews are made available.The results of the SERO-OBS-Corona project are available on the website www.rki.de/covid-19-serostudies-germany, in German, and on the website htp:///www.rki.de/covid-19-erostudies-germany<>, in English.