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.

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.

Germany recorded 3366432 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, Germany reported 106680 Coronavirus Deaths. This dataset includes a chart with historical data for Germany Coronavirus Recovered.

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.

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

The coronavirus (COVID-19) has led to over 183,000 deaths in Germany, as of 2024. When looking at the distribution of deaths by age, based on the figures currently available, most death occurred in the age group 80 years and older at approximately 118,938 deaths.

The aim of the special survey of the GESIS panel on the outbreak of the corona virus SARS-CoV-2 in Germany was to collect timely data on the effects of the corona crisis on people´s daily lives. The study focused on questions of risk perception, risk minimization measures, evaluation of political measures and their compliance, trust in politics and institutions, changed employment situation, childcare obligations, and media consumption. Due to the need for timely data collection, only the GESIS panel sub-sample of online respondents was invited (about three quarters of the sample). Since, due to time constraints, respondents could only participate in the online survey but not by mail, the results cannot be easily transferred to the overall population. Further longitudinal surveys on Covid-19 with the entire sample of the GESIS panel are planned for 2020.

Topics: Risk perception: Probability of events related to corona infection in the next two months (self, infection of a person from close social surrondings, hospital treatment, quarantine measures regardless of whether infected or not, infecting other people)

Risk minimization: risk minimization measures taken in the last seven days (avoided certain (busy) places, kept minimum distance to other people, adapted school or work situation, quarantine due to symptoms or without symptoms, washed hands more often, used disinfectant, stocks increased, reduced social interactions, worn face mask, other, none of these measures).

Evaluation of the effectiveness of various policy measures to combat the further spread of corona virus (closure of day-care centres, kindergartens and schools, closure of sports facilities, closure of bars, cafés and restaurants, closure of all shops except supermarkets and pharmacies, ban on visiting hospitals, nursing homes and old people´s homes, curfew for persons aged 70 and over or people with health problems or for anyone not working in the health sector or other critical professions (except for basic purchases and urgent medical care).

Curfew compliance or refusal: Willingness to obey a curfew vs. refusal; reasons for the compliance with curfew (social duty, fear of punishment, protection against infection, fear of infecting others (loved ones, infecting others in general, a risk group); reasons for refusal of curfew (restrictions too drastic or not justified, other obligations, does not stop the spread, not affected by the outbreak, boring at home, will not be punished).

Evaluation of the effectiveness of various government measures (medical care, restrictions on social life such as closure of public facilities and businesses, reduction of economic damage, communication with the population).

Trust in politics and institutions with regard to dealing with the coronavirus (physician, local health authority, local and municipal administration, Robert Koch Institute (RKI), Federal Government, German Chancellor, Ministry of Health, World Health Organization (WHO), scientists).

Changed employment situation: employment status at the beginning of March; change in occupational situation since the spread of coronavirus: dependent employees: number of hours reduced, number of hours increased, more home office, leave of absence with/ without continued wage payment , fired, no change; self-employed: working hours reduced, working hours increased, more home office, revenue decreased, revenue increased, company temporarily closed by the authorities, company temporarily voluntarily closed, financial hardship, company permanently closed or insolvent, no change.

Childcare: children under 12 in the household; organisation of childcare during the closure of day-care centres, kindergartens and schools (staying at home, partner stays at home, older siblings take care, grandparents are watching, etc.)

Media consumption on Corona: information sources used for Corona (e.g. nationwide public or private television or radio, local public or private television or radio, national newspapers or local newspapers, Facebook, other social media, personal conversations with friends and family, other, do not inform myself on the subject); frequency of Facebook usage; information about Corona obtained from regional Facebook page or regional Facebook group.

Demography: sex; age (categorized); education (categorized); intention to vote and choice of party (Sunday question); Left-right self-assessment; marital status; size of household.

Additionally coded: Respondent ID;...

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.

With the spread of the coronavirus (COVID-19) in Germany in 2023, the government and health authorities are monitoring case numbers not only as a nationwide total, but also in all the German federal states. As of March 2023, the rate of infection per 100,000 inhabitants is highest in Bavaria, followed by Saarland.

View daily updates and historical trends for Germany Coronavirus Full Vaccination Rate. Source: Our World in Data. Track economic data with YCharts analyt…

The number of COVID-19 vaccination doses administered in Germany rose to 192221468 as of Oct 27 2023. This dataset includes a chart with historical data for Germany Coronavirus Vaccination Total.

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

View daily updates and historical trends for Germany Coronavirus Recoveries. Source: Johns Hopkins Center for Systems Science and Engineering. Track econo…

Feature service with the current Covid-19 infections per 100,000 inhabitants on the German districts. 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 Deaths: To Date: CC: Hamburg data was reported at 3,706.000 Person in 21 Apr 2023. This records an increase from the previous number of 3,705.000 Person for 20 Apr 2023. Germany COVID-2019: Number of Deaths: To Date: CC: Hamburg data is updated daily, averaging 1,589.000 Person from Mar 2020 (Median) to 21 Apr 2023, with 933 observations. The data reached an all-time high of 3,706.000 Person in 21 Apr 2023 and a record low of 0.000 Person in 26 Mar 2020. Germany COVID-2019: Number of Deaths: To Date: CC: Hamburg 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).

Bilingual (EN, DE) COVID-19-related corpus acquired from the website (https://www.bundesgesundheitsministerium.de/) of Federal Ministry of Health (Germany) (29th April 2020). It contains 90 TUs in total.

Context

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. Most people who fall sick with COVID-19 will experience mild to moderate symptoms and recover without special treatment. The virus that causes COVID-19 is mainly transmitted through droplets generated when an infected person coughs, sneezes, or exhales. These droplets are too heavy to hang in the air and quickly fall on floors or surfaces. You can be infected by breathing in the virus if you are within close proximity of someone who has COVID-19, or by touching a contaminated surface and then your eyes, nose o or mouth.

Content

The dataset contains data related to COVID-19 in Germany only. The dataset contains the date and the number of confirmed patients recovered patients, and deaths found on that particular date.

Acknowledgements

The data is provided by John Hopkins University, Baltimore, Maryland.

Inspiration

You can perform data analysis and visualization to discover trends and patterns in the data. Also, one can predict the forecast for next 15 days.

Total Covid deaths per million in Germany, March, 2023 The most recent value is 2052 total Covid deaths as of March 2023, an increase compared to the previous value of 2035 total Covid deaths. Historically, the average for Germany from February 2020 to March 2023 is 1112 total Covid deaths. The minimum of 0 total Covid deaths was recorded in February 2020, while the maximum of 2052 total Covid deaths was reached in March 2023. | TheGlobalEconomy.com

As of April 2023, the coronavirus (COVID-19) tracing app was downloaded almost 21.56 million times from the Apple App Store, while the Google Play Store recorded around 27.07 million downloads. This is an official coronavirus tracing app, developed by the German government and available since June 2020. The app is voluntary.