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  • 400+ Downloads
    Updated October 14, 2020 | Dataset date: Mar 16, 2020-Oct 11, 2020
    This dataset updates: As needed
    Subnational data about Covid19 in Gambia - Infected (new cases, gender), Deceased, Recovered.
  • 2300+ Downloads
    Updated October 14, 2020 | Dataset date: Oct 14, 2020
    This dataset updates: Every month
    This set includes data on fatalities in UN peacekeeping operations. It includes a unique casualty identifier, the incident date, the mission acronym, the type of casualty, the ISO code associated with the country of origin of the personnel, the relevant M49 DESA code, the type pf personnel involved, and the type of incident.
  • 500+ Downloads
    Updated October 5, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: Never
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
  • 80+ Downloads
    Updated Live | Dataset date: May 11, 2020
    This dataset updates: Live
    This dataset contains the number of tested cases, confirmed cases, recoveries and deaths by township due to the Coronavirus pandemic in Myanmar.
  • 700+ Downloads
    Updated Live | Dataset date: Jan 9, 2005-May 17, 2020
    This dataset updates: Live
    This dataset contains excess mortality data for the period covering the 2020 Covid-19 pandemic. The data contains the excess mortality data for all known jurisdictions which publish all-cause mortality data meeting the following criteria: daily, weekly or monthly level of granularity includes equivalent historical data for at least one full year before 2020, and preferably at least five years (2015-2019) includes data up to at least April 1, 2020 Most countries publish mortality data with a longer periodicity (typically quarterly or even annually), a longer publication lag time, or both. This sort of data is not suitable for ongoing analysis during an epidemic and is therefore not included here. "Excess mortality" refers to the difference between deaths from all causes during the pandemic and the historic seasonal average. For many of the jurisdictions shown here, this figure is higher than the official Covid-19 fatalities that are published by national governments each day. While not all of these deaths are necessarily attributable to the disease, it does leave a number of unexplained deaths that suggests that the official figures of deaths attributed may significant undercounts of the pandemic's impact.
  • 300+ Downloads
    Updated Live | Dataset date: Mar 2, 2020-Nov 22, 2020
    This dataset updates: Live
    This dataset contains the number of confirmed cases, recoveries and deaths by city due to the Coronavirus pandemic in Colombia.
  • 300+ Downloads
    Updated August 28, 2020 | Dataset date: Mar 31, 2020-Aug 24, 2020
    This dataset updates: As needed
    Subnational data about Covid19 in Sierra Leone- Infected (new cases, gender), Deceased, Recovered.
  • 100+ Downloads
    Updated August 25, 2020 | Dataset date: Mar 25, 2020-Aug 24, 2020
    This dataset updates: As needed
    This dataset contains the number of confirmed cases, recoveries and deaths by admin level 2 due to the Coronavirus pandemic in Mali.
  • 312000+ Downloads
    Updated Live | Dataset date: Jan 22, 2020-Nov 22, 2020
    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
  • 200+ Downloads
    Updated July 16, 2020 | Dataset date: Apr 29, 2020-Jul 16, 2020
    This dataset updates: As needed
    This dataset contains the number of confirmed cases, recoveries and deaths by admin 1 due to the Coronavirus pandemic in Ethiopia.
  • 600+ Downloads
    Updated May 6, 2020 | Dataset date: Mar 26, 2020
    This dataset updates: As needed
    Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.
  • 600+ Downloads
    Updated May 6, 2020 | Dataset date: May 5, 2020
    This dataset updates: As needed
    This dataset contains simulation ­based estimates for COVID­-19 epidemic scenarios in OCHA HRP countries. Simulation is done by London School of Hygiene & Tropical Medicine(LSHTM).
  • 60+ Downloads
    Updated April 28, 2020 | Dataset date: Nov 19, 2020
    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.
  • 1800+ Downloads
    Updated Live | Dataset date: Dec 31, 2019-Nov 22, 2020
    This dataset updates: Live
    Data collected by the European Centre for Disease Prevention and Control. The downloadable data file is updated daily and contains the latest available public data on COVID-19. Public-use data files allows users to manipulate the data in a format appropriate for their analyses. Users of ECDC public-use data files must comply with data use restrictions to ensure that the information will be used solely for statistical analysis or reporting purposes. For further information, visit https://www.ecdc.europa.eu/en/novel-coronavirus-china.
  • 700+ Downloads
    Updated November 10, 2019 | Dataset date: Jan 1, 2016-Oct 29, 2016
    This dataset updates: Every year
    1) Natural disaster events include avalanches,earthquake, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
  • 1300+ Downloads
    Updated November 10, 2019 | Dataset date: Feb 23, 2017
    This dataset updates: Never
    This dataset contains information about conflict events in the Lake Chad basin crisis region as compiled by ACLED. Data is encoded as utf-8. The second row of each CSV contains HXL tags. The data is compiled from two other datasets: ACLED Realtime 2016 ACLED Version 6, 1997 - 2015 More about ACLED data can be found here: http://www.acleddata.com/
  • 300+ Downloads
    Updated November 10, 2019 | Dataset date: Jan 1, 2014-Dec 31, 2014
    This dataset updates: Every year
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
  • 400+ Downloads
    Updated November 10, 2019 | Dataset date: Jan 1, 2015-Dec 31, 2015
    This dataset updates: Never
    1) Natural disaster events include avalanches,earthquake, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
  • 200+ Downloads
    Updated November 10, 2019 | Dataset date: Jan 1, 2015-Jun 30, 2015
    This dataset updates: Every six months
    1) Natural disaster events include avalanches, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
  • 300+ Downloads
    Updated November 10, 2019 | Dataset date: Jan 1, 2012-Dec 31, 2012
    This dataset updates: Never
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
  • 200+ Downloads
    Updated June 20, 2019 | Dataset date: Dec 31, 2018
    This dataset updates: As needed
    Total number of civilian casualties documented in each of Afghanistan’s 34 provinces, the top three causes of civilian casualties in each province, and the percentage increase or decrease compared to 2017. For more, refer to the report from UNAMA
  • 100+ Downloads
    Updated December 9, 2018 | Dataset date: Jan 20, 2018
    This dataset updates: Every year
    This dataset contains the number of Dengue Fever cases, incidence rape per 100,000 population, people death and case fatality rate (CFR) by province (admin 1), 2015-2017. The data was extracted from the Indonesia Health Profile publications (2015-2017) published by the Ministry of Health. The publication is available in PDF format: http://www.pusdatin.kemkes.go.id/folder/view/01/structure-publikasi-pusdatin-profil-kesehatan.html
  • 100+ Downloads
    Updated November 18, 2018 | Dataset date: Sep 16, 2018-Sep 26, 2018
    This dataset updates: Never
    This is a Twitter dataset collected during the typhoon Mangkhut 2018 in the Philippines. The data was collected, processed, and analyzed by the AIDR (http://aidr.qcri.org) platform using state of the art machine learning techniques. The data includes the reports of number of injured and dead people, infrastructure damage reports, missing or found people, urgent needs and donation offers for each hour. Due to Twitter TOS, we do not share full tweets content on HDX. Please contact us via HDX or on aidr.qcri@gmail.com to get tweet ids of the dataset along with a tool which can be used to rehydrate tweets from tweet ids.
  • 200+ Downloads
    Updated October 15, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: As needed
    This dataset is about homicides registered in Venezuela in 2017. The data was extracted from police administrative records and worked by OVV at the county level. The last three columns contains : (1) total murders, (2) homicides with intention, and (3) murders committed by police forces. Homicide with intention is a category defined by the Venezuelan Penal Code (Código Penal Venezolano: CPV). Murders committed by police forces, supposedly occurred in arrest operations and encounters with delinquents. The data covers the whole year.
  • 300+ Downloads
    Updated September 29, 2018 | Dataset date: May 8, 2018-Jul 24, 2018
    This dataset updates: Never
    Number of confirmed, probable and suspected Ebola cases and deaths in the Equateur region Ebola outbreak in May 2018.in the Democratic Republic of the Congo (DRC) according to WHO Ebola situation reports. The figures are presented at national level as well as disaggregated to health zone level. Figures are cumulative. The World Health Organisation (WHO) declared the outbreak over on July 24 2018. On 1 August 2018, the Ministry of Health of the Democratic Republic of the Congo declared a new outbreak of Ebola virus disease in North Kivu Province. The data for this new outbreak is available here.