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  • 200+ Downloads
    Updated 29 November 2019 | Dataset date: May 01, 2016-November 22, 2019
    This dataset updates: Every six months
    The assessment contains IDPs and Returnees data at village level. The data is gender and age disaggregated and also has number of vulnerable population and the needs assessment.
  • 100+ Downloads
    Updated 11 November 2019 | Dataset date: May 05, 2019-July 10, 2019
    This dataset updates: As needed
    The dataset contains IDPs at site level.
  • 800+ Downloads
    Updated 10 November 2019 | Dataset date: January 01, 2016-October 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.
  • 1700+ Downloads
    Updated 10 November 2019 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: Every year
    1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 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) The information includes assessment figures from OCHA, ANDMA, IOM, 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 10 November 2019 | Dataset date: January 01, 2014-December 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 10 November 2019 | Dataset date: January 01, 2015-December 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.
  • 300+ Downloads
    Updated 10 November 2019 | Dataset date: January 01, 2012-December 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 30 October 2019 | Dataset date: February 01, 2019-February 16, 2019
    This dataset updates: As needed
    The dataset contains number of people displaced and returnees at village level in Kasai Oriental province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
  • 200+ Downloads
    Updated 30 October 2019 | Dataset date: February 01, 2019-February 19, 2019
    This dataset updates: As needed
    The dataset contains number of people displaced and returnees at village level in Kasai province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
  • 200+ Downloads
    Updated 30 October 2019 | Dataset date: February 03, 2019-February 24, 2019
    This dataset updates: As needed
    The dataset contains number of people displaced and returnees at village level in Kasai Central province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
  • 80+ Downloads
    Updated 30 October 2019 | Dataset date: October 01, 2018-October 01, 2018
    This dataset updates: As needed
    The dataset contains number of people displaced and returnees at village level in Lomami province. The dataset also contains needs of the displaced and returned people, reason and time of displacement.
  • 300+ Downloads
    Updated 4 November 2018 | Dataset date: September 20, 2017-October 03, 2017
    This dataset updates: Never
    This resource is comprised of Twitter data collected and processed by the AIDR system during the 2017 hurricane Maria. The data contains information about number of people affected, injured, dead, reports of damages, missing people and so on. Please contact us if you need full dataset with tweets content.
  • 300+ Downloads
    Updated 29 September 2018 | Dataset date: May 08, 2018-July 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.
  • 2000+ Downloads
    Updated 13 September 2018 | Dataset date: July 01, 2018-July 01, 2018
    This dataset updates: Never
    This dataset provides numbers of suspected cholera cases, deaths, case fatality rates (%) and attack rates (per 1,000) by Governorate in the Yemen cholera outbreak since 27 April 2017. The data are manually extracted from the Yemen cholera outbreak epidemiology updates produced by WHO Yemen. The updates are posted on the Yemen Situation Reports page on the WHO Regional Office for the Eastern Mediterranean site. This dataset contains data from the daily and weekly updates up to the weekly report published on 7 July 2018.
  • 1400+ Downloads
    Updated 11 August 2018 | Dataset date: June 02, 2018-June 14, 2018
    This dataset updates: Every month
    Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings. This dataset presents the result of the NPM Round 11 exercise, which collected information related to the Rohingya refugee population distribution and needs during the months of June and July 2018. The data collection for NPM baseline survey was conducted between 2 and 14 June 2018: it provides an update about the population distribution and movements. The data collection for NPM Site Assessment survey was conducted between 1 and 22 July 2018: in addition to an update about the population figures, this includeds a multi-sectoral needs assessment. The full maps and GIS packages by camp produced based on NPM Baseline and Site Assessment 11 are available at the links below: Please click here to access the data by camp as of May 2018. Please click here to access the data by camp as of July 2018. Rohingya refugee population distribution by para in Teknaf upazila. - Please click here.
  • 600+ Downloads
    Updated 6 December 2017 | Dataset date: March 27, 2015-September 21, 2015
    This dataset updates: Never
    This data was collected via mobile phones by a network of CHW and journalists in Liberia between March and September 2015.
  • 400+ Downloads
    Updated 16 March 2017 | Dataset date: January 04, 1999-December 30, 2013
    This dataset updates: Never
    The National Disaster inventory is a record of Natural Disasters including floods, thunderstorms, forest fires, mudslides and disease outbreaks etc. The inventory keeps track of the losses of life destruction of property and infrastructure, injury and displacement due to these incidents.
  • 400+ Downloads
    Updated 14 March 2017 | Dataset date: January 01, 2003-December 31, 2013
    This dataset updates: Never
    This data-set shows the Number of people affected by Disasters in Kenya. It is based on the National Disaster inventory which is a record of Natural Disasters including floods, thunderstorms, forest fires, mudslides and disease outbreaks.
  • 700+ Downloads
    Updated 22 January 2016 | Dataset date: October 01, 2015-January 19, 2016
    This dataset updates: Never
    This dataset shows the number of people affected by elnino rains per county
  • 900+ Downloads
    Updated 4 January 2016 | Dataset date: December 31, 2013-December 31, 2013
    This dataset updates: Never
    Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event
  • 600+ Downloads
    Updated 4 January 2016 | Dataset date: December 31, 2013-December 31, 2013
    This dataset updates: Never
    Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event
  • 300+ Downloads
    Updated 4 January 2016 | Dataset date: December 31, 2013-December 31, 2013
    This dataset updates: Never
    Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event
  • 500+ Downloads
    Updated 4 January 2016 | Dataset date: December 31, 2013-December 31, 2013
    This dataset updates: Never
    Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event
  • 400+ Downloads
    Updated 4 January 2016 | Dataset date: December 31, 2013-December 31, 2013
    This dataset updates: Never
    Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event
  • 2400+ Downloads
    Updated 4 January 2016 | Dataset date: December 31, 2013-December 31, 2013
    This dataset updates: Never
    Number of Deaths, Injured, Missing, Houses Destroyed, Houses Damaged, Victims Affected, Relocated, Evacuated, Losses and Damages in crops by climate change event