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  • 600+ Downloads
    Updated October 14, 2019 | Dataset date: Jan 1, 2019-Oct 5, 2019
    This dataset updates: Every week
    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.
  • This dataset contains the number of casualties (death, injured, refugees) caused by the natural disaster in Indonesia during 1815-2018. The data also include the number of infrastructures damaged (house, health, religion, and education facilities). The data is available at district level (Admin 2) and downloadable in MS. Excel (XLS) format: http://bnpb.cloud/dibi/tabel1a
  • 800+ Downloads
    Updated October 7, 2019 | Dataset date: Jan 1, 2018-Jul 31, 2019
    This dataset updates: Every month
    This page provides the data published in the Education in Danger Monthly News Brief. The first dataset covers events where educators were killed, kidnapped or arrested (KKA) and incidents where schools were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members. The second dataset includes threats and incidents of violence as well as protests and other events affecting education in 2018. For a breakdown on the number of educators killed, kidnapped or arrested (KKA), see In Harms Way dataset. All data contains incidents identified in open sources. Categorized by country.
  • 100+ Downloads
    Updated June 28, 2019 | Dataset date: Jun 30, 2018-Sep 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
  • 700+ Downloads
    Updated October 9, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: Every year
    Attacks on educational staff and facilities in 2017. This dataset contains agency- and publicly-reported data for events in which affected the provision of education. Categorized by country.
  • 1600+ Downloads
    Updated July 25, 2018 | Dataset date: Sep 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.
  • 50+ Downloads
    Updated January 8, 2018 | Dataset date: Dec 5, 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.
  • 30+ Downloads
    Updated January 8, 2018 | Dataset date: Dec 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.
  • 40+ Downloads
    Updated August 10, 2015 | Dataset date: Oct 2, 2014
    This dataset updates: Never
    This report documents damage over the Gaza Strip following the July-August 2014 conflict. It is based on analysis of commercial satellite imagery and quantifies damage to overall building structures, health facilities, education facilities, agricultural fields and greenhouses. The study also compares damage from the 2014 conflict to that of the 2009 conflict. The analysis is supplemented by ground photos following UNOSAT deployment to Gaza in September 2014.
  • 30+ Downloads
    Updated August 10, 2015 | Dataset date: Sep 26, 2014
    This dataset updates: Never
    This map illustrates satellite-detected damage and destruction of education facilities in Gaza Strip, resulting from recent conflicts in the area. Using satellite imagery collected 14 August 2014 and 27-28 August 2014 by the Pleiades satellite, and compared with a pre-crisis Pleiades image collected 6 July 2014, UNOSAT analysis has identified 1 destroyed structure, 12 severely damaged structures and 51 moderately damaged structures from a total of 413 schools in the Gaza Strip. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.