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  • Updated 24 November 2021 | Dataset date: January 01, 2017-November 16, 2021
    This dataset updates: Every six months
    War-Damaged Shelter Rehabilitation data as submitted by humanitarian and development actors undertaking assessment and rehabilitation of war-damaged shelter for returnees across the country.
  • 400+ Downloads
    Updated 17 October 2021 | Dataset date: January 01, 2021-July 28, 2021
    This dataset updates: As needed
    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.
  • 5500+ Downloads
    Updated 6 September 2021 | Dataset date: January 01, 2017-July 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).
  • 60+ Downloads
    Updated 13 August 2021 | Dataset date: January 01, 2018-July 31, 2021
    This dataset updates: Every six months
    Number of private houses damaged as a result of conflict at adm 0-1 levels, disaggregated by GCA/NGCA. Yearly numbers of damaged houses for 2018-2021 and monthly numbers for June 2020 - July 2021.
  • 30+ Downloads
    Updated 28 June 2021 | Dataset date: January 01, 2017-June 17, 2021
    This dataset updates: Every six months
    This contains data on assessment and rehabilitation of war-damaged shelter by both shelter cluster partners (humanitarian) and development/durable solution actors in Iraq.
  • 40+ Downloads
    Updated 11 June 2021 | Dataset date: April 30, 2021-December 06, 2021
    This dataset updates: Every month
    The Civilian Impact Monitoring Project (CIMP) is a monitoring mechanism for real-time collection, analysis and dissemination of open source data on the civilian impact from armed violence in Yemen, with the purpose of informing and complementing protection programming. CIMP is a service under the United Nations Protection Cluster for Yemen and, since going live on 01 August 2018, has reported in real-time on the impact of incidents of armed violence on civilians at the national level, divided into 5 hubs: Al-Hudaydah, Sa’ada, Sana’a, Aden and Ibb. The dataset shows the number of incidents to have impacted upon civilian houses, farms, vehicles, businesses and markets and the number of incidents to have impacted upon civilian infrastructure sites since December 2017.
  • 2000+ Downloads
    Updated 9 May 2021 | Dataset date: January 01, 2020-December 27, 2020
    This dataset updates: As needed
    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.
  • 200+ Downloads
    Updated 5 October 2020 | Dataset date: January 01, 2019-December 31, 2019
    This dataset updates: As needed
    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.
  • 80+ Downloads
    Updated 27 December 2019 | Dataset date: November 30, 2019-November 30, 2019
    This dataset updates: Never
    This data is about the key figures of the severely affected areas on the 6.6 earthquake in Tulunan, Cotabato (North Cotabato).
  • 400+ Downloads
    Updated 12 November 2019 | Dataset date: January 01, 1979-December 31, 2010
    This dataset updates: As needed
  • 300+ Downloads
    Updated 12 November 2019 | Dataset date: December 31, 2015-December 31, 2015
    This dataset updates: As needed
  • 300+ Downloads
    Updated 12 November 2019 | Dataset date: January 01, 1980-December 31, 2013
    This dataset updates: As needed
  • 400+ Downloads
    Updated 12 November 2019 | Dataset date: January 01, 1979-December 31, 2012
    This dataset updates: As needed
  • 300+ Downloads
    Updated 12 November 2019 | Dataset date: January 01, 1952-November 12, 2019
    This dataset updates: As needed
  • 300+ Downloads
    Updated 12 November 2019 | Dataset date: January 1, 1815-December 31, 2018
    This dataset updates: As needed
  • 300+ Downloads
    Updated 12 November 2019 | Dataset date: January 01, 2014-December 31, 2018
    This dataset updates: As needed
  • 900+ Downloads
    Updated 28 June 2019 | Dataset date: June 30, 2018-September 30, 2018
    This dataset updates: As needed
    This data is about damage assessment of education facilities of Cox's Bazar during assessment phase in 2018
  • 3300+ Downloads
    Updated 25 July 2018 | Dataset date: September 30, 2017-September 30, 2017
    This dataset updates: Every year
    This dataset contains the location of affected schools by village, district, and governorate level. Includes number of students by gender, state of damage, school affected status, cause of damage, damage description, among other variables.
  • 60+ Downloads
    Updated Live | Dataset date: December 11, 2017-December 11, 2017
    This dataset updates: Live
    This map illustrates satellite-detected damage to infrastructure and roads in a portion of the city of Deir Ez Zor, Syrian Arab Republic and is derived from a full UNOSAT analysis of damage to Deir Ez Zor in 2017. Using satellite imagery acquired 9 November 2017, UNITAR - UNOSAT identified 6 destroyed bridges, 54 damaged road segments and 93 visible impact craters affecting roads. Approximately 169 structures corresponding to educational facilities, and 21 structures likely related to health facilities are also affected. UNOSAT analysis shows that there are 3 destroyed electricity towers south of the city. Note that sources of infrastructure data include various open source datasets which are likely incomplete, as well as visual review of satellite imagery by UNOSAT for certain features like towers. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 70+ Downloads
    Updated Live | Dataset date: December 05, 2017-December 05, 2017
    This dataset updates: Live
    This map illustrates satellite-detected damage to infrastructure and roads in the city of Ar Raqqa, Syrian Arab Republic and is derived from a full UNOSAT analysis of damage to Ar Raqqa in 2017. Using satellite imagery acquired 21 October 2017, UNITAR - UNOSAT identified 5 destroyed bridges, 74 damaged road segments and 94 visible impact craters affecting roads. Approximately 159 structures corresponding to educational facilities, and 26 structures likely related to health facilities are also affected. UNOSAT analysis shows that 8 water towers are completely destroyed and there is damage to one electric substation and a sewage treatment facility. Note that sources of infrastructure data include various open source datasets which are likely incomplete, as well as visual review of satellite imagery by UNOSAT for certain features like water towers. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.