COVID-19 Pandemic

See multiple data sources across 56 humanitarian operations in the COVID-19 Data Explorer

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  • 360000+ Downloads
    Updated Live | Dataset date: January 22, 2020-June 22, 2021
    This dataset updates: Live
    Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
  • 5000+ Downloads
    Updated 21 June 2021 | Dataset date: March 02, 2020-June 22, 2021
    This dataset updates: Every day
    This dataset contains the number of confirmed cases, recoveries and deaths by province due to the Coronavirus pandemic in Indonesia.
  • 9900+ Downloads
    Updated Live | Dataset date: January 08, 2020-June 21, 2021
    This dataset updates: Live
    Coronavirus COVID-19 daily new and cumulative cases and deaths by country.
  • 1500+ Downloads
    Updated Live | Dataset date: December 16, 2020-June 20, 2021
    This dataset updates: Live
    The map and chart below show the number of COVID-19 vaccination doses administered per 100 people within a given population. Note that this does not measure the total number of people that have been vaccinated (which is usually two doses).
  • 17000+ Downloads
    Updated Live | Dataset date: January 18, 2020-June 21, 2021
    This dataset updates: Live
    'Our World in Data' is compiling COVID-19 testing data over time for many countries around the world. They are adding further data in the coming days as more details become available for other countries. In some cases figures refer to the number of tests, in other cases to the number of individuals who have been tested. Refer to documentation provided here.
  • 7700+ Downloads
    Updated 21 June 2021 | Dataset date: December 16, 2020-June 21, 2021
    This dataset updates: Every day
    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak. Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak. We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak. The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository. United States Data Data on cumulative coronavirus cases and deaths can be found in two files for states and counties. Each row of data reports cumulative counts based on our best reporting up to the moment we publish an update. We do our best to revise earlier entries in the data when we receive new information. Both files contain FIPS codes, a standard geographic identifier, to make it easier for an analyst to combine this data with other data sets like a map file or population data. State-Level Data State-level data can be found in the us-states.csv file. date,state,fips,cases,deaths 2020-01-21,Washington,53,1,0 ... County-Level Data County-level data can be found in the us-counties.csv file. date,county,state,fips,cases,deaths 2020-01-21,Snohomish,Washington,53061,1,0 ... In some cases, the geographies where cases are reported do not map to standard county boundaries. See the list of geographic exceptions for more detail on these. Github Repository This dataset contains COVID-19 data for the United States of America made available by The New York Times on github at https://github.com/nytimes/covid-19-data
  • 100+ Downloads
    Updated 22 June 2021 | Dataset date: November 15, 2020-June 22, 2021
    This dataset updates: Every day
    Contains data crowdsourced from Venezuelans through the Premise Data mobile application. The survey is presented only once to users and aims to capture current COVID-19 awareness around testing availability and symptoms, and identifies users who have moved to a different state in the last year. More relevant information below: The booklet included HERE goes into more details on how Premise's crowdsourcing works.
  • 100+ Downloads
    Updated 22 June 2021 | Dataset date: February 07, 2021-June 22, 2021
    This dataset updates: Every day
    Contains data crowdsourced from Venezuelans through the Premise Data mobile application. The survey is presented only once to users and aims to capture the impact of COVID-19 on children's education. More relevant information below: The booklet included HERE goes into more details on how Premise's crowdsourcing works.
  • Updated 4 December 2020 | Dataset date: April 26, 2020-May 15, 2020
    This data is by request only
    In April and May, as a service to responders and authorities, Ground Truth Solutions (GTS) – in partnership with the Iraq Information Centre (IIC) – conducted phone interviews in Arabic with 556 returnees, refugees, and IDPs across Anbar, Dahuk, Erbil, Ninewa, Salah al-Din, and Sulaymaniyah to gauge their perspectives on information needs and channels, behaviours, trust, and the economic impact of the virus.
  • 400+ Downloads
    Updated 11 September 2020 | Dataset date: July 27, 2020-August 09, 2020
    This dataset updates: Every two weeks
    DTM relies on its network of key informants and on secondary sources to provide a weekly assessment of mobility and COVID-19 preparedness at priority locations in South Sudan. On 24 March 2020, movement restrictions have been put in place by South Sudanese (SSD) Government and its neighbours. Some border points like Renk and Kaya are reported to be near completely blocked, whilst refugees have been allowed back into SSD through places like Nimule (neighbouring Uganda [UGA]), Pagak (Ethiopia [ETH]) and Jekow (ETH). Cargo has also been largely allowed to enter South Sudan with a maximum of three passengers in trucks.
  • 100+ Downloads
    Updated 1 January 2021 | Dataset date: July 29, 2020-September 27, 2020
    This dataset updates: As needed
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • 100+ Downloads
    Updated 1 February 2021 | Dataset date: July 29, 2020-November 30, 2020
    This dataset updates: As needed
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • 40+ Downloads
    Updated 19 February 2021 | Dataset date: June 30, 2020-June 22, 2021
    This dataset updates: Every year
    Registry of Russian social-oriented non profit organizations recognized by the government as affected by COVID-19 and that receive government support. The Ministry of Economic Development of Russia published the register of non profit non government organizations (NGOs) that will be provided with additional measures of support. Dataset columns: name of organization, OGRN, INN, Responsible government agency, Status, Orgform. The dataset contains information about 11 208 NGOs of 85 Russian regions.
  • Updated 26 May 2021 | Dataset date: January 15, 2021-March 25, 2021
    This dataset updates: Never
    The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for Persons of Concern (POC) to UNHCR based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual.
  • Updated 26 May 2021 | Dataset date: September 28, 2020-November 30, 2020
    This dataset updates: Never
    The participants of this phone interview were identified using mixed methods. Stratified random sampling were adopted for PoCs based in Kakuma, Kalobeyei, Dadaab and Urban areas. While a census were used for all PoCs who were 18+ years amongst the Shona community; this cohort forms 48.6% of the enumerated population of the Shona people. The survey was conducted at two levels; household and individual.
  • 20+ Downloads
    Updated 9 December 2020 | Dataset date: December 30, 2020-December 30, 2020
    This dataset updates: As needed
    This data is a zipped shapefile of the COVID-19 risk index based on the INFORM index framework.
  • 8000+ Downloads
    Updated 26 January 2021 | Dataset date: March 26, 2020-December 15, 2020
    This dataset updates: As needed
    The Data is the number of district wise returnee migrants who are under quarantined now.
  • 2700+ Downloads
    Updated 12 October 2020 | Dataset date: September 12, 2020-September 12, 2020
    This dataset updates: As needed
    The INFORM COVID-19 Risk Index is a composite index that identifies: “countries at risk from health and humanitarian impacts of COVID-19 that could overwhelm current national response capacity, and therefore lead to a need for additional international assistance”. The INFORM COVID-19 Risk Index is primarily concerned with structural risk factors, i.e. those that existed before the outbreak. It can be used to support prioritization of preparedness and early response actions for the primary impacts of the pandemic, and identify countries where secondary impacts are likely to have the most critical humanitarian consequences. The main scope of the INFORM COVID-19 Risk Index is global and regional risk-informed resource allocation, i.e. where comparable understanding of countries’ risk is important. It cannot predict the impacts of the pandemic in individual countries. It does not consider the mechanisms behind secondary impacts - for example how a COVID-19 outbreak could increase conflict risk.
  • 100+ Downloads
    Updated 6 March 2021 | Dataset date: January 01, 2020-December 31, 2020
    This dataset updates: Never
    COVID-19 Situation and Response Dashboard for Annual 2020
  • 10+ Downloads
    Updated 4 November 2020 | Dataset date: August 27, 2020-August 27, 2020
    This dataset updates: Every three months
    Agencies activities based on the pillars on the Indonesia Multi Sectoral Response Plan to COVID-19.
  • 1600+ Downloads
    Updated 26 February 2021 | Dataset date: September 21, 2020-September 21, 2020
    This dataset updates: Every year
    This data contains aggregated weighted statistics at the regional level by gender for the Survey on Gender Equality At Home fielded in July 2020. Facebook’s Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. If you're interested in becoming a Survey on Gender Equality research partner, please email gendersurvey@fb.com.
  • 90+ Downloads
    Updated 28 April 2020 | Dataset date: May 19, 2020-April 27, 2021
    This dataset updates: As needed
    This dataset contains the number of confirmed cases, recoveries and deaths by Location/Admin 1 due to the Coronavirus pandemic in Somalia.
  • 100+ Downloads
    Updated 7 April 2021 | Dataset date: March 12, 2021-March 12, 2021
    This dataset updates: As needed
    Compilation of international financial institution and economic data
  • 700+ Downloads
    Updated 4 June 2021 | Dataset date: May 01, 2020-May 01, 2020
    This dataset updates: As needed
    This dataset contains two APIs with daily Symptom Survey data. The University of Maryland API is for accessing global survey data and CMU API is for accessing US survey data.
  • 100+ Downloads
    Updated 19 October 2020 | Dataset date: September 24, 2020-September 24, 2020
    This dataset updates: As needed
    This dataset contains the number of confirmed cases, recoveries and deaths by locations due to the Coronavirus pandemic in Libya.