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  • 1500+ Downloads
    Updated 19 June 2021 | Dataset date: May 31, 2020-May 31, 2020
    This dataset updates: Every two weeks
    Aggregated figures for Natural Disasters in EM-DAT More on the EM-DAT database : ( website / data portal ). Each line corresponds to a given combination of year, country, disaster subtype and reports figures for : number of disasters total number of people affected total number of deaths economic losses (original value and adjusted)
  • 800+ Downloads
    Updated 19 June 2021 | Dataset date: January 01, 2019-June 19, 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 Afghanistan.
  • 200+ Downloads
    Updated 18 June 2021 | Dataset date: April 01, 2021-June 19, 2021
    This dataset updates: Every day
    This dataset contains the number of confirmed cases, recoveries and deaths by Governorate due to the Coronavirus pandemic in Palestine.
  • 4900+ Downloads
    Updated 17 June 2021 | Dataset date: March 02, 2020-June 16, 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.
  • 7700+ Downloads
    Updated 17 June 2021 | Dataset date: December 16, 2020-June 16, 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 17 June 2021 | Dataset date: January 16, 2021-June 15, 2021
    This dataset updates: Every week
    Covid19 data at the city level in Mauritania - Infections (new cases), Deaths, Recoveries.
  • 500+ Downloads
    Updated 17 June 2021 | Dataset date: March 15, 2020-June 15, 2021
    This dataset updates: Every week
    Covid-19 data at the city level in Mali - Infections (new cases, gender), Deaths, Recoveries
  • 800+ Downloads
    Updated 17 June 2021 | Dataset date: March 09, 2020-June 14, 2021
    This dataset updates: Every week
    Covid-19 data at the city level in Burkina Faso - Infections (new cases, gender), Deaths, Recoveries + Urban / Rural locations.
  • 700+ Downloads
    Updated 17 June 2021 | Dataset date: March 13, 2020-June 15, 2021
    This dataset updates: Every week
    Subnational data about Covid19 in Mauritania - Infections (new cases, gender), Deaths, Recoveries. Please note that the gender data is not available yet for every day, our teams are working on it. Thank you for your understanding.
  • 1200+ Downloads
    Updated 17 June 2021 | Dataset date: March 25, 2020-June 15, 2021
    This dataset updates: Every week
    Subnational data about Covid19 in Mali - Infections (new cases, gender), Deaths, Recoveries.
  • 1200+ Downloads
    Updated 17 June 2021 | Dataset date: March 19, 2020-June 16, 2021
    This dataset updates: Every week
    Subnational data about Covid19 in Niger - Infected (new cases, gender), Deceased, Recovered.
  • 1100+ Downloads
    Updated 17 June 2021 | Dataset date: March 09, 2020-June 16, 2021
    This dataset updates: Every week
    Subnational data about Covid19 in Burkina Faso - Infected (new cases, gender), Deceased, Recovered. NEW (!) : VACCINATION DATA PER REGION
  • 2900+ Downloads
    Updated 15 June 2021 | Dataset date: July 01, 1948-June 09, 2021
    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.
  • 4100+ Downloads
    Updated 11 June 2021 | Dataset date: January 01, 2017-May 31, 2021
    This dataset updates: As needed
    This page provides the data published in the Education in Danger Monthly News Brief. All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
  • 6300+ Downloads
    Updated 7 June 2021 | Dataset date: March 22, 2020-June 06, 2021
    This dataset updates: Every week
    This dataset contains the number of confirmed cases, deaths and recoveries by province due to the Coronavirus pandemic in Mozambique.
  • 9900+ Downloads
    Updated Live | Dataset date: January 08, 2020-June 17, 2021
    This dataset updates: Live
    Coronavirus COVID-19 daily new and cumulative cases and deaths by country.
  • 100+ Downloads
    Updated 7 June 2021 | Dataset date: May 11, 2020-April 29, 2021
    This dataset updates: As needed
    COvid 19 subnational data for iraq
  • 800+ Downloads
    Updated Live | Dataset date: January 01, 2020-January 03, 2021
    This dataset updates: Live
    This dataset contains the number of confirmed cases by state due to the Coronavirus pandemic in Venezuela.
  • 3500+ Downloads
    Updated 1 June 2021 | Dataset date: January 01, 2019-April 30, 2021
    This dataset updates: Every month
    The INFORM Severity Index is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally. It is a composite index, which brings together 31 core indicators, organised in three dimensions: impact, conditions of affected people, and complexity. All the indicators are scored on a scale of 1 to 5. These scores are then aggregated into components, the three dimensions (Impact, Conditions, Complexity), and the overall severity category based on the analytical framework. The three dimensions have been weighted according to their contribution to severity: impact of the crisis (20%); conditions of affected people (50%); complexity (30%). The weightings are currently a best estimate and will be refined using expert analysis and statistical methods. Each crisis will fall into 1 of 5 categories based on their score ranging from very low to high. ACAPS – an INFORM technical partner – is responsible for collection, cleaning, analysis and input of data into the model and the production of the final results. Read more on the GCSI methodology here: https://www.acaps.org/methodology/severity This data is also available on ACAPS API: http://api.acaps.org/api/v1
  • 1900+ Downloads
    Updated 31 May 2021 | Dataset date: April 21, 2020-June 19, 2021
    This dataset updates: As needed
    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
  • 1400+ Downloads
    Updated 25 May 2021 | Dataset date: March 12, 2020-May 19, 2021
    This dataset updates: Every week
    Subnational data about Covid19 in Ghana - Infections (new cases, gender), Deaths, Recoveries.
  • 200+ Downloads
    Updated 9 May 2021 | Dataset date: March 06, 2020-May 08, 2021
    This dataset updates: Every week
    Covid-19 data at the city level in Togo - Infections (new cases, gender), Deaths, Recoveries We have been collecting Covid-19 in Africa for a year, if you have any feedback on how you use our data, don't hesitate to contact us at org.hera@gmail.com and share your work !
  • 800+ Downloads
    Updated 9 May 2021 | Dataset date: March 06, 2020-May 08, 2021
    This dataset updates: Every week
    Subnational data about Covid19 in Togo- Infections (new cases, gender), Deaths, Recoveries NOW AVAILABLE on our HDX page : Covid-19 dataset for Togo at the city level (Adm 2)
  • 500+ Downloads
    Updated 8 May 2021 | Dataset date: January 01, 2013-December 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.
  • 1100+ Downloads
    Updated Live | Dataset date: January 09, 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.