Read the associated blogpost for a detailed description of how this dataset was prepared; plus extra code for producing animated maps.

Context

The 2019 Novel Coronavirus (COVID-19) continues to spread in countries around the world. This dataset provides daily updated number of reported cases & deaths in Germany on the federal state (Bundesland) and county (Landkreis/Stadtkreis) level. In April 2021 I added a dataset on vaccination progress. In addition, I provide geospatial shape files and general state-level population demographics to aid the analysis.

Content

The dataset consists of thre main csv files: covid_de.csv, demgraphics_de.csv, and covid_de_vaccines.csv. The geospatial shapes are included in the de_state.* files. See the column descriptions below for more detailed information.

• covid_de.csv: COVID-19 cases and deaths which will be updated daily. The original data are being collected by Germany's Robert Koch Institute and can be download through the National Platform for Geographic Data (the latter site also hosts an interactive dashboard). I reshaped and translated the data (using R tidyverse tools) to make it better accessible. This blogpost explains how I prepared the data, and describes how to produces animated maps.

• demographics_de.csv: General Demographic Data about Germany on the federal state level. Those have been downloaded from Germany's Federal Office for Statistics (Statistisches Bundesamt) through their Open Data platform GENESIS. The data reflect the (most recent available) estimates on 2018-12-31. You can find the corresponding table here.

• covid_de_vaccines.csv: In April 2021 I added this file that contains the Covid-19 vaccination progress for Germany as a whole. It details daily doses, broken down cumulatively by manufacturer, as well as the cumulative number of people having received their first and full vaccination. The earliest data are from 2020-12-27.

• de_state.*: Geospatial shape files for Germany's 16 federal states. Downloaded via Germany's Federal Agency for Cartography and Geodesy . Specifically, the shape file was obtained from this link.

Column Description

COVID-19 dataset covid_de.csv:

• state: Name of the German federal state. Germany has 16 federal states. I removed converted special characters from the original data.

• county: The name of the German Landkreis (LK) or Stadtkreis (SK), which correspond roughly to US counties.

• age_group: The COVID-19 data is being reported for 6 age groups: 0-4, 5-14, 15-34, 35-59, 60-79, and above 80 years old. As a shortcut the last category I'm using "80-99", but there might well be persons above 99 years old in this dataset. This column has a few NA entries.

• gender: Reported as male (M) or female (F). This column has a few NA entries.

• date: The calendar date of when a case or death were reported. There might be delays that will be corrected by retroactively assigning cases to earlier dates.

• cases: COVID-19 cases that have been confirmed through laboratory work. This and the following 2 columns are counts per day, not cumulative counts.

• deaths: COVID-19 related deaths.

• recovered: Recovered cases.

Demographic dataset demographics_de.csv:

• state, gender, age_group: same as above. The demographic data is available in higher age resolution, but I have binned it here to match the corresponding age groups in the covid_de.csv file.

• population: Population counts for the respective categories. These numbers reflect the (most recent available) estimates on 2018-12-31.

Vaccination progress dataset covid_de_vaccines.csv:

• date: calendar date of vaccination

• doses, doses_first, doses_second: Daily count of administered doses: total, 1st shot, 2nd shot.

• pfizer_cumul, moderna_cumul, astrazeneca_cumul: Daily cumulative number of administered vaccinations by manufacturer.

• persons_first_cumul, persons_full_cumul: Daily cumulative number of people having received their 1st shot and full vaccination, respectively.

Acknowledgements

All the data have been extracted from open data sources which are being gratefully acknowledged:

• The [Robert ...

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.

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.

Germany recorded 38418899 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Germany reported 173834 Coronavirus Deaths. This dataset includes a chart with historical data for Germany Coronavirus Cases.

View daily updates and historical trends for Germany Coronavirus Cases Per Day. Source: Johns Hopkins Center for Systems Science and Engineering. Track ec…

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.

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.

In past 24 hours, Germany, Europe had 73 new cases, 16 deaths and N/A recoveries.

Case data from 02-29-2020 to 05-31-2020, this data repository stores COVID-19 virus case data for Germany, including daily case data, summary data, and base map. Each zip file contains weekly case data from Monday to Sunday.

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).

Dataset

This dataset was created by Ian

Contents

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.

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".

Germany COVID-2019: Number of Cases: To Date: CC: Mecklenburg Vorpommern data was reported at 716,082.000 Person in 21 Apr 2023. This records an increase from the previous number of 715,980.000 Person for 20 Apr 2023. Germany COVID-2019: Number of Cases: To Date: CC: Mecklenburg Vorpommern data is updated daily, averaging 44,103.000 Person from Mar 2020 (Median) to 21 Apr 2023, with 939 observations. The data reached an all-time high of 716,082.000 Person in 21 Apr 2023 and a record low of 4.000 Person in 05 Mar 2020. Germany COVID-2019: Number of Cases: To Date: CC: Mecklenburg Vorpommern 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).

Germany COVID-2019: Number of Cases: To Date: CC: Schleswig Holstein data was reported at 1,180,353.000 Person in 21 Apr 2023. This records an increase from the previous number of 1,180,284.000 Person for 20 Apr 2023. Germany COVID-2019: Number of Cases: To Date: CC: Schleswig Holstein data is updated daily, averaging 63,759.000 Person from Mar 2020 (Median) to 21 Apr 2023, with 941 observations. The data reached an all-time high of 1,180,353.000 Person in 21 Apr 2023 and a record low of 2.000 Person in 04 Mar 2020. Germany COVID-2019: Number of Cases: To Date: CC: Schleswig Holstein 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 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.

ECDC: COVID-2019: Number of Cases: Germany data was reported at 16,362.000 Person in 14 Dec 2020. This records a decrease from the previous number of 20,200.000 Person for 13 Dec 2020. ECDC: COVID-2019: Number of Cases: Germany data is updated daily, averaging 930.000 Person from Dec 2019 (Median) to 14 Dec 2020, with 350 observations. The data reached an all-time high of 29,875.000 Person in 11 Dec 2020 and a record low of 0.000 Person in 25 Feb 2020. ECDC: COVID-2019: Number of Cases: Germany data remains active status in CEIC and is reported by European Centre for Disease Prevention and Control. The data is categorized under High Frequency Database’s Disease Outbreaks – Table ECDC.D001: Coronavirus Disease 2019 (COVID-2019): Cases and Deaths: by EU Member States (Discontinued).

This Project Tycho dataset includes a CSV file with COVID-19 data reported in GERMANY: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. 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", "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 COVID-19 pandemic has decelerated substantial parts of economic and human interaction. This paper estimates football matches’ contribution to the spread of COVID-19 during Germany’s second infection wave in summer and autumn 2020. Exploiting the exogenous fixture schedules of matches across German counties in an event study design, we estimate that one additional match in a county on average raises daily cases by between 0.34 to 0.71 cases per 100,000 inhabitants after three weeks. Hence, this implies an increase of the seven-day incidence per 100,000 inhabitants by around three to seven percent. We do not find qualitatively different results for a subsample of German top league matches with the strictest hygiene regulations or matches with higher occupancy levels. Notably, the found effect is mediated by the incidence level at the day of the match with very few infections for matches at a seven-day incidence below 25. Using mobile phone data, we identify strong increases in the local mobility as an underlying mechanism. We finally show that the ban of away fans successfully limited the spread of COVID-19 beyond county borders. Our results alert that even outdoor mass gatherings can remarkably cause infections.

Data in the repository were used in the study "Fine-scale variation in the effect of national border on COVID-19 spread: A case study of the Saxon-Czech border region", published in Spatial and Spatio-temporal Epidemiology.

This repository consists of two files:

saxony-westczechia_cases7

Weekly numbers of new COVID-19 cases in all municipalities in Saxony and Northwestern Czechia (Liberec, Ústí nad Labem, and Karlovy Vary regions) in the first half of 2021. Data are extracted from the websites coronavirus.sachsen and onemocneni-aktualne.mzcr.cz/covid-19. The missing values were interpolated, and daily values were recalculated to weekly values.

municipalities

The second file consists of a list of all municipalities with their names, geometries, and population values. For Germany, we used the dataset "Gemeindegrenzen 2018 mit Einwohnerzahl" (© GeoBasis-DE / BKG, Statistisches Bundesamt (Destatis) (2020), dl-de/by-2-0) as a source of geometries and population sizes of the municipalities (“Gemeinde”) in Saxony. Czech population numbers on the municipality level ("obec") were taken from the Czech Statistical Office, while the geometries were obtained from RÚIAN (@Czech Office for Surveying, Mapping and Cadastre, 2021). To keep the same geometry detail on both sides of the borders, we applied the Douglas-Peucker simplification algorithm implemented in the Python library TopoJSON.