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) 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.

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.

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.

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 datasets included in this repository represent a pandemic severity indicator for the COVID-19 pandemic in Germany based on a composite indicator for the years 2020 and 2021. The pandemic severity index consists of three indicators: the incidence of patients tested positive for COVID-19, the incidence of patients with COVID-19 in intensive care, and the incidence of registered deaths due to COVID-19. The datasets have been developed within the CODIFF project (Socio-Spatial Diffusion of COVID-19 in Germany) at Leibniz Insitute for Research on Society and Space. The project received funding by Deutsche Forschungsgemeinschaft (DFG, project number 492338717). The datasets have been used in the following publications, in which further methodological details on the indicator can be found:

• Stabler, M., & Kuebart, A. (2023). Tempo-spatial dynamics of COVID-19 in Germany: A phase model based on a pandemic severity indicator. medRxiv, 2023-02.
• Kuebart, A., & Stabler, M. (2023). Waves in time, but not in space – An analysis of pandemic severity of COVID-19 in Germany. Spatial and Spatio-temporal Epidemiology, 2023.

This repository consists of two files:

pandemic_severity_germany

This table contains the composite indicator for daily pandemic severity for Germany on the national scale as well as the three sub-indicators for each day between 2020-03-01 and 2021-12-31. The sub-indicators were sourced from the Robert Koch Institute, the German government agency responsible for disease control and prevention.

pandemic_severity_counties

This table contains the composite indicator for daily pandemic severity for Germany on the level of the 400 individual counties, as well as the three sub-indicators for each day between 2020-03-01 and 2021-12-31. The sub-indicators were sourced from the Robert Koch Institute, the German government agency responsible for disease control and prevention. The counties can be identified by name (kreis) or by county identification number (ags5)

In 2020, thinking of work after the pandemic, 48 percent of German employees stated that they wanted to work from home as often as they did during the COVID-19 crisis. In contrast to this, 13 percent did not want to work from home at all. The figures are based on an online survey conducted in Germany in 2020.

The crisis barometer on the COVID-19 pandemic in Germany was conducted by USUMA on behalf of the Konrad Adenauer Foundation. During the survey period from 30.03.2020 to 04.07.2020, 4228 respondents aged 18 and over living in private households in Germany were interviewed by telephone (CATI) on the following topics: pessimism/optimism; trust in institutions, crisis competence of political parties, effects of the Corona crisis, reception of news about Corona, Corona disease, Sunday question. Respondents were selected through multi-stage random sampling from an ADM selection frame including landline and mobile numbers (dual-frame sampling). The study was conducted week-by-week as a rolling cross-section survey. Pessimism or optimism about the future in general and for Germany; party preference (Sunday question); confidence in institutions (state government of the federal state, federal government, European Union, federal armed forces, police, health authorities, authorities, courts, German Bundestag); most competent party to deal with the crisis; assessment of measures as appropriate, going too far, or not going far enough; expected extent of the impact of the Corona crisis for the respondent; reception frequency of news about the Corona crisis; respondent has contracted the Corona virus COVID 19 himself; number of people in his circle of acquaintances who have tested positive for the Corona virus. Demography: sex; age; education; employment status; federal state; number of people 18 years and older who also regularly use the cell phone used; number of cell phone numbers used to reach the respondent by phone; number of landline phone numbers; household size. Additionally coded were: respondent ID; day of interview; weighting factor. Das Krisenbarometer zur COVID-19-Pandemie in Deutschland wurde von USUMA im Auftrag der Konrad-Adenauer-Stiftung durchgeführt. Im Erhebungszeitraum vom 30.03.2020 bis 04.07.2020 wurden 4228 in Privathaushalten in Deutschland lebende Prsonen ab 18 Jahren in telefonischen Interviews (CATI) zu folgenden Themen befragt: Pessimismus/Optimismus; Institutionenvertrauen, Krisenkompetenz der Parteien, Auswirkungen der Corona-Krise, Rezeption von Nachrichten über Corona, Corona-Erkrankung, Sonntagsfrage. Die Auswahl der Befragten erfolgte durch eine mehrstufige Zufallsauswahl aus einem ADM-Auswahlrahmen unter Einschluss von Festnetz- und Mobilfunknummern (Dual-Frame Stichprobe). Die Studie wurde wochenweise als Rolling-Cross-Section Survey durchgeführt. Pessimismus oder Optimismus im Hinblick auf die Zukunft allgemein und für Deutschland; Parteipräferenz (Sonntagsfrage); Institutionenvertrauen (Landesregierung des Bundeslandes, Bundesregierung, Europäische Union, Bundeswehr, Polizei, Gesundheitsamt, Behörden, Gerichte, Deutscher Bundestag); kompetenteste Partei zur Bewältigung der Krise; Bewertung der Maßnahmen als angemessen, gehen zu weit oder gehen nicht weit genug; erwartetes Ausmaß der Auswirkungen der Corona-Krise für den Befragten; Rezeptionshäufigkeit von Nachrichten über die Corona-Krise; Befragter ist selbst am Corona-Virus COVID 19 erkrankt; Anzahl der positiv auf das Corona-Virus getesteten Menschen im Bekanntenkreis. Demographie: Geschlecht; Alter; Bildung; Erwerbsstatus; Bundesland; Anzahl Personen ab 18 Jahren, die das genutzte Handy ebenfalls regelmäßig nutzen; Anzahl der Handynummern, über die der Befragte telefonisch erreichbar ist; Anzahl der Festnetz-Rufnummern; Haushaltsgröße. Zusätzlich verkodet wurde: Befragten-ID; Befragungstag; Gewichtungsfaktor.

The Corona crisis (COVID-19) affects a large proportion of companies and freelancers in Germany. Against this background, the study examines the personal situation and working conditions of employees in Germany in times of corona. The analysis mainly refers to the situation in May 2020 and can only make limited statements about the further situation of the employed persons in the course of the corona pandemic.
1. Personal situation: change in working times during the corona crisis; current work situation (local focus of one´s own work); preference for home office; preference for future home office; financial losses due to the corona crisis; concerns about the financial and economic consequences of the corona crisis in Germany; concerns about the corona crisis in personal areas (job security, current working conditions, financial situation, career opportunities, family situation, health, psychological well-being, housing situation); support from the employer in the corona crisis.

1. Economy and welfare state: political interest; assessment of the economic situation in Germany; preferred form of government (strong vs. liberal state); agreement on various statements on the weighing of values in the Corona crisis (the restrictions on public life to protect the population from Corona are not in proportion to the economic crisis caused by it, the money now being made available for economic aid will later be lacking in other important areas such as education, infrastructure or climate protection, for politicians, the health of the population is the top priority, the interests of the economy influence them less strongly with regard to the corona crisis, the worst part of the crisis is now behind us, as a result of the economic effects of the corona crisis the contrast between rich and poor in Germany will become even more pronounced, the corona crisis affects the low earners more than the middle class, the corona crisis significantly advances the digitalisation of the world of work); perception of state action in the corona crisis on the basis of pairs of opposites (e.g. bureaucratic - unbureaucratic, passive - active, etc.); responsibility of the state to provide financial support to companies in the corona crisis; responsibility of the state to provide financial support to private individuals in the corona crisis over and above basic provision; recipients of state financial aid in the corona crisis (companies, directly to needy private individuals, companies and private individuals alike); assessment of the bureaucracy involved in state financial aid (speed vs. exact examination).

2. Measures: awareness of current measures to support business and individuals in the corona crisis; assessment of current measures to support business and individuals in the corona crisis; reliance on assistance in the corona crisis; nature of assistance used in the corona crisis; barriers to use of assistance in the corona crisis; assessment of the effectiveness of the state measures to cope with the corona crisis; appropriate additional measures to mitigate the economic consequences; concerns about the consequences of the planned state measures (increasing tax burden, rising social contributions, rising inflation, stagnating pension levels, rising retirement age, reduction of other state transfers, safeguarding savings).

3. Information: active search for information on financial assistance offers by the Federal Government in the corona crisis; self-assessment of the level of information on measures to support business and private individuals in the corona crisis; request for detailed information on state assistance measures in the corona crisis (e.g. application process, sources of funding, conditions for receiving assistance, etc.) sources of information used about state aid measures in the Corona crisis; contact with institutions offering economic and financial aid during the Corona crisis (development bank/ municipal development agency, employment agency, tax office, none of them); experience with institutions offering economic and financial aid during the Corona crisis (appropriate treatment).

4. Outlook: assessment of the future economic situation in Germany; assessment of Germany´s future as a strong business location; assessment of its own future economic situation; assessment of the duration of the economic impairment caused by the Corona crisis.

Demography: age; sex; education; employment; self-localization social class; net household income; current household income; household income before the crisis; occupational activity; belonging to systemically important occupations; number of persons in the household; number of children under 18 in the household; size of town; party sympathy; migration background.

Additionally coded: current number; federal state; education (low, medium, high); weighting factor.

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.

The UKP Covid-19 Twitter Corpus includes 2,785 tweets annotated by student annotators and 200 expert-annotated tweets in German. Each tweet was annotated as either a supporting opinion ("Support"), an attacking argument ("Refute"), a commenting statement ("Comment") or unrelated ("Unrelated") with respect to governmental measures taken to prevent the spread of Covid-19.

Germany COVID-2019: Number of Deaths: To Date: CC: Bavaria data was reported at 29,293.000 Person in 21 Apr 2023. This records an increase from the previous number of 29,262.000 Person for 20 Apr 2023. Germany COVID-2019: Number of Deaths: To Date: CC: Bavaria data is updated daily, averaging 15,233.000 Person from Mar 2020 (Median) to 21 Apr 2023, with 933 observations. The data reached an all-time high of 29,293.000 Person in 21 Apr 2023 and a record low of 0.000 Person in 11 Mar 2020. Germany COVID-2019: Number of Deaths: To Date: CC: Bavaria 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

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".

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; recruitment cohort; mode of invitation; mode of participation; participation (dichotomous); questionnaire evaluation: overall assessment of the survey; comment (dichotomous); evaluation of the special survey on Corona; disposition code (online); survey duration in seconds.

User-side paradata are stored in a separate CSV file (see codebook).

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 study Families in Germany and the Impact of the Corona Pandemic was conducted by USUMA on behalf of the Konrad-Adenauer Stiftung. During the survey period 24.08.2020 to 26.09.2020, 1. 005 persons aged 18 and over in private households in Germany (N=501 with persons living in Germany who did not have parental authority for at least one minor child at the time of the survey and N=504 with persons living in Germany with parental authority for at least one minor child) were interviewed by telephone (CATI) on the following topics: Family situation, division of housework, perceived real situation, satisfaction with areas of life, effects and changes due to the Corona crisis, Sunday question, home office, sociodemographics, sociodemographics of partner. Respondents were selected using a multi-stage stratified random sample from the ADM sample frames for landline and mobile numbers (dual-frame sample in the ratio 50% mobile and 50% landline). The present study is the first wave.
Child´s attendance at daycare before the Corona crisis; division of household chores between the respondent and partner in terms of cooking meals, grocery shopping, minor repairs in the house/apartment, laundry, tax matters, cleaning the house/apartment, doing homework with the children, taking care of the children when they are sick, childcare during daycare/school closure during the Corona crisis; perceived real own situation (I am successful in my job, take care of the household, take care of my appearance, do something special in my free time, am happy, do voluntary work, cook meals for my family, my family lives healthily/ is happy, children perform well at school, live in a happy relationship); satisfaction with different areas of life (with current life, housing situation, work situation, family situation, with childcare sharing during daycare/school closure in Corona crisis, and with current partnership); Corona crisis: Long-term expected personal impact of the Corona crisis; extent of long-term changes due to the Corona crisis in the following areas: Friendships, free time, time management, daily tasks, work situation, job prospects, childcare, support for children and partnership; assessment of these changes in the aforementioned areas rather as good or rather as bad; time pressure has rather increased, rather decreased or has not changed compared to before the Corona crisis.

Demography: sex; age; marital status; stable partnership; sex of partner; living with partner in a common household; children; number of children; information on children: Age; joint child, child of respondent, child of partner; child lives in joint household; party preference in the next federal election (Sunday question); education; employment situation; professional position; short-time work; in home office for individual days or completely through Corona; currently still in home office through Corona; religious affiliation; frequency of attendance at religious services; migration background of respondent or one parent; federal state; city size; number of mobile phone numbers through which respondent can be reached; number of landline phone numbers; household size; number of children under 18 in the household.

Information on the partner: education; employment situation or situation if not employed; through Corona individual days or completely in the home office; currently still in the home office through Corona.

Additionally coded were: Respondent ID; weighting factors; categorisation of legal guardian; categorisation of situation; split groups.

As of 2022, the BioNTech vaccine against the coronavirus (COVID-19) was administered the most in Germany. Figures were significantly higher for BioNTech vaccinations, compared to the other vaccines approved for use in the EU – Moderna, AstraZeneca and Janssen. BioNTech is a German biotechnological company, which developed a vaccine against COVID-19 in cooperation with U.S. pharmaceutical giant Pfizer.

New vaccines BioNTech and Moderna are mRNA vaccines, AstraZeneca is not, but all three have one thing in common – they have to be administered in two doses over a period of several weeks to provide protection against the virus. The Janssen vaccine, also referred to as Johnson & Johnson, referring to its manufacturer, requires one dose. Both BioNTech and Moderna vaccines have already been administered as booster shots while another coronavirus wave engulfs Germany. After initial shortages in deliveries at the beginning of Germany’s vaccination campaign at the end of December 2020, production has ramped up, also within the country, and the German government repeatedly assures the population that there are enough vaccines for first, second and booster shots.

The next wave Thus far there is no national vaccination mandate in Germany, though heated debate among political parties regarding the issue continues, particularly in the wake of rising coronavirus cases in the winter of 2021 and the emergence of the Omicron variant. While all the currently greenlighted vaccines against COVID-19 are not said to make the recipient immune to the virus, they are widely hailed as helping reduce the risk of a difficult illness or the possibility of a hospital stay.

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).