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  • 2500+ Downloads
    Updated May 29, 2020 | Dataset date: May 27, 2020
    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
  • 300+ Downloads
    Updated May 29, 2020 | Dataset date: Jan 24, 2020-May 29, 2020
    This dataset updates: Every day
    This dataset contains the number of confirmed cases, recoveries and deaths by country and subnational region due to the Coronavirus pandemic in Europe. Since the outbreak of the COVID-19 crisis, the Joint Research Centre (JRC) has been supporting the European Commission in multidisciplinary areas to understand the COVID-19 emergency, anticipate its impacts, and support contingency planning. This data provides an overview of the monitoring in the area of the 34 UCPM Participating States plus Switzerland related to sub-national data (admin level 1) on numbers of contagious and fatalities by COVID-19, collected directly from the National Authoritative sources (National monitoring websites, when available). The sub-national granularity of the data allows to have a fit-for-purpose model to early capture the local spread and response to the COVID-19 outbreak. The data is maintained on the JRC COVID-19 Github Repository
  • 20+ Downloads
    Updated May 29, 2020 | Dataset date: May 28, 2020
    This dataset updates: Every day
    This dataset contains the number of confirmed cases, recoveries and deaths by Admin 2 due to the Coronavirus pandemic in Libya.
  • Updated May 28, 2020 | Dataset date: May 21, 2020
    This dataset updates: As needed
    This dataset contains the number of confirmed cases, deaths and recoveries by province due to the Coronavirus pandemic in Mozambique.
  • 50+ Downloads
    Updated May 28, 2020 | Dataset date: May 26, 2020
    This dataset updates: Every day
    This dataset contains the number of suspected cases, confirmed cases, and deaths by Département due to the Coronavirus pandemic in Haiti. Released by the Ministry of Public Health and Population of Haiti.
  • 60+ Downloads
    Updated May 27, 2020 | Dataset date: May 29, 2019
    This dataset updates: Every day
    Reference historic FX rates quoted by the European Central Bank (ECB) converted to USD base currency. There are two resources - one with USD as the quote currency (more standard x/USD) and another with USD as the base currency (USD/x). Note that where the rate is 0 or NaN, it means that the currency existed in the past but no longer exists.
  • Updated May 27, 2020 | Dataset date: May 19, 2020
    This dataset updates: As needed
    Pool fund Extended allocation Details
  • Updated May 27, 2020 | Dataset date: May 27, 2020
    This dataset updates: As needed
    Covid-19 Impact on Humanitarian Operations Data Viz inputs
  • 20+ Downloads
    Updated Live | Dataset date: May 29, 2020
    This dataset updates: Live
    This dataset contains the number of confirmed cases, recoveries and deaths by Governorate due to the Coronavirus pandemic in Palestine.
  • 100+ Downloads
    Updated May 21, 2020 | Dataset date: Jan 1, 2019-May 28, 2020
    This dataset updates: As needed
    This dataset contains the number of confirmed cases, recoveries and deaths by province due to the Coronavirus pandemic in Afghanistan.
  • 200+ Downloads
    Updated May 21, 2020 | Dataset date: Aug 1, 2018-Aug 31, 2020
    This dataset updates: Every six months
    Between May and August 2020, corresponding to the lean season, it is estimated that despite planned food assistance, 29 sub-prefectures or 0.75 million people, representing 16% of the population, are in Emergency (IPC Phase 4), while 35 sub-prefectures or 1.6 million people, representing 35% of the population, are in Crisis (IPC Phase 3). A total of 2.36 million people (representing 51% of the population analysed, 4.59 million) are in a situation of acute food insecurity in IPC Phase 3+. In addition, 1.61 million people, representing 35% of the population analysed, are in Stress (IPC Phase 2) with some of them at risk of being in a more severe situation of food insecurity, should the current situation persist. For more visit: http://www.ipcinfo.org/ipc-country-analysis/details-map/en/c/1152641/
  • 10+ Downloads
    Updated May 18, 2020 | Dataset date: May 22, 2020
    This dataset updates: As needed
    COvid 19 subnational data for iraq
  • 500+ Downloads
    Updated May 15, 2020 | Dataset date: Aug 1, 2018-Nov 30, 2020
    This dataset updates: Every year
    Food insecurity remains alarmingly high in Afghanistan with continuing conflict, widespread unemployment, and price hikes, all exacerbated by the impacts of the COVID-19 pandemic. Around 10.9 million people (35% of the population analysed) are estimated to be in IPC Phase 3 (Crisis) or above in the current period (April-May 2020). These include around 7.38 million people in Crisis (IPC Phase 3) and 3.47 million people in Emergency (IPC Phase 4). In total, four analysis areas were classified in IPC Phase 4 (Badakshan, Daykundi, Hirat Urban and Kandahar Urban). After the harvest, it is likely the food insecurity situation will improve in rural areas, since households will have increased access to food from own production and prices may also decrease. Despite the overall reduction in people facing acute food insecurity, the number of people in Crisis (IPC Phase 3) and Emergency (IPC Phase 4) in urban areas is expected to increase in the projection period. In urban centers, the negative economic impacts of COVID-19 are likely to counteract the positive impacts of the harvest. The severity will be higher in areas where humanitarian access is limited. Although food is still available in nearly all markets, the prices of basic food commodities increased by 10 to 20%. The lockdown measures put in place in response to the COVID-19 pandemic significantly decreased daily labour opportunities, reducing household purchasing power and food access. For more visit: ipcinfo.org
  • 100+ Downloads
    Updated May 14, 2020 | Dataset date: Nov 9, 2018
    This dataset updates: Every day
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 100+ Downloads
    Updated May 14, 2020 | Dataset date: Apr 7, 2017
    This dataset updates: Every day
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 80+ Downloads
    Updated May 14, 2020 | Dataset date: Mar 15, 2016-May 29, 2018
    This dataset updates: Every day
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 90+ Downloads
    Updated May 14, 2020 | Dataset date: Feb 14, 2011-Dec 31, 2011
    This dataset updates: Every day
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 90+ Downloads
    Updated May 14, 2020 | Dataset date: Jan 20, 2010
    This dataset updates: Every day
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 80+ Downloads
    Updated May 14, 2020 | Dataset date: Jan 25, 2008-Jun 17, 2008
    This dataset updates: Every day
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 90+ Downloads
    Updated May 14, 2020 | Dataset date: Mar 1, 2013-Dec 4, 2017
    This dataset updates: Every day
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 80+ Downloads
    Updated May 14, 2020 | Dataset date: Feb 12, 2004
    This dataset updates: Every day
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 90+ Downloads
    Updated May 14, 2020 | Dataset date: Feb 26, 2002-Feb 22, 2017
    This dataset updates: Every day
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 90+ Downloads
    Updated May 14, 2020 | Dataset date: Sep 22, 1996-Dec 16, 2005
    This dataset updates: Every day
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 70+ Downloads
    Updated May 14, 2020 | Dataset date: Oct 26, 1995
    This dataset updates: Every day
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University
  • 100+ Downloads
    Updated May 14, 2020 | Dataset date: Mar 16, 1993
    This dataset updates: Every day
    This dataset is UCDP's most disaggregated dataset, covering individual events of organized violence (phenomena of lethal violence occurring at a given time and place). These events are sufficiently fine-grained to be geo-coded down to the level of individual villages, with temporal durations disaggregated to single, individual days. Sundberg, Ralph, and Erik Melander, 2013, “Introducing the UCDP Georeferenced Event Dataset”, Journal of Peace Research, vol.50, no.4, 523-532 Högbladh Stina, 2019, “UCDP GED Codebook version 19.1”, Department of Peace and Conflict Research, Uppsala University