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  • 3800+ Downloads
    Updated May 25, 2019 | Dataset date: May 25, 2019
    This dataset updates: Every day
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
  • 80+ Downloads
    Updated May 24, 2019 | Dataset date: Jan 1, 2019-Apr 30, 2019
    This dataset updates: Every month
    Data contains: - Monthly full details data sets for IDP movements and spontaneous IDP returns estimations. - In each file there is summary table for IDP arrival estimations at governorates level since January-2016. - In each file there is summary table for spontaneous IDP returns estimations at governorates level since August-2018.
  • 200+ Downloads
    Updated May 24, 2019 | Dataset date: Nov 1, 2018
    This dataset updates: Every month
    The Syrian IDP camps monitoring interactive study is issued by the IMU of the ACU on a monthly basis, to monitor the humanitarian situation of 231 IDp camps in Idleb and Aleppo governorates in Syria’s northwest, shedding light on the needs of the IDPs and the services provided in the camps in the following sectors: Population statistics, WASH, Health, Education, FSL, Shelter and NFI, in addition to the priority needs of IDPs. The study also includes statistics of those who arrive at and leave the camps and the important incidents which took place during the month of the data collection.
  • 1800+ Downloads
    Updated May 23, 2019 | Dataset date: Jan 1, 2017-Apr 30, 2019
    This dataset updates: Every month
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
  • 400+ Downloads
    Updated May 23, 2019 | Dataset date: Sep 1, 2018-Apr 30, 2019
    This dataset updates: Every month
    This dataset includes incidents affecting the affecting the protection of IDPs and refugees. The data contains incidents identified in open sources. Categorized by country.
  • 500+ Downloads
    Updated May 23, 2019 | Dataset date: Sep 1, 2018-Apr 30, 2019
    This dataset updates: Every month
    This page provides the data published in the Attacks on Health Care Monthly News Brief. The first dataset covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities or ambulances were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members. The remaining datasets include threats and incidents of violence as well as protests and other events affecting health care between September and December 2018. For a breakdown on the number of health workers killed, kidnapped or arrested (KKA), see In Harms Way dataset. All data contains incidents identified in open sources. Categorized by country.
  • 50+ Downloads
    Updated May 23, 2019 | Dataset date: Jan 1, 1999-Dec 31, 2017
    This dataset updates: Every year
    FAO statistics collates and disseminates food and agricultural statistics globally. The division develops methodologies and standards for data collection, and holds regular meetings and workshops to support member countries develop statistical systems. We produce publications, working papers and statistical yearbooks that cover food security, prices, production and trade and agri-environmental statistics.
  • 100+ Downloads
    Updated May 22, 2019 | Dataset date: Jan 1, 2016-Dec 31, 2018
    This dataset updates: As needed
    This is a compilation of datasets compiled from scraping the monthly fact sheets produced by the Whole of Syria Education Cluster.
  • 3600+ Downloads
    Updated May 19, 2019 | Dataset date: Jan 1, 1992-Apr 15, 2019
    This dataset updates: Every week
    This dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 300+ Downloads
    Updated May 19, 2019 | Dataset date: Apr 15, 2011-Sep 15, 2018
    This dataset updates: Every week
    This dataset contains Food Prices data for Syrian Arab Republic. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 300+ Downloads
    Updated May 19, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every week
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: name highway surface smoothness width lanes oneway bridge layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 100+ Downloads
    Updated May 19, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every week
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: name building building:levels building:materials addr:full addr:housenumber addr:street addr:city office This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 100+ Downloads
    Updated May 19, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every week
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: name waterway covered width depth layer blockage tunnel natural water This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 100+ Downloads
    Updated May 19, 2019 | Dataset date: May 19, 2019
    This dataset updates: Every week
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: name amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 500+ Downloads
    Updated May 17, 2019 | Dataset date: Jan 1, 2018-Mar 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.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Sep 6, 2016
    This dataset updates: Never
    This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the Pleiades satellite on 02 September 2016, UNOSAT located 8,295 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is an 26 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 25 July 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 50+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 22, 2016
    This dataset updates: Never
    This map illustrates the refugee settlement in Al Azraq, Jordan as seen by the WorldView-3 satellite on 30 June 2016. Analysis by UNITAR-UNOSAT of the satellite image indicates a total of 14,609 visible structures. This includes 4,389 infrastructure and support buildings as well as 10,220 shelters. Preparations are continuing so as to accommodate additional incoming refugees. The previous analysis done by UNOSAT using an image from 5 October 2015 detected a total of 14,227 infrastructure, support buildings and shelters. This is an increase of approximately 2.7%. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 40+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 17, 2016
    This dataset updates: Never
    This map illustrates satellite-detected shelters and other buildings at the Al Zaatari refugee camp in Mafraq Governorate, Jordan. As of 30 June 2016 a total of 25,815 shelters were detected as well as 1,879 infrastructure and support buildings within the 534 hectares of the camp. Between 12 October 2015 and 30 June 2016 a total of 2,568 shelters were constructed, with even more removed, indicating an approximate 4.26% decrease in the number of shelters between 12 October 2015 and 30 June 2016. This is a preliminary analysis and has not yet been validated in the field; structure locations subject to a spatial error margin of +/- three meters. Shelters grouped under plastic sheeting were estimated by average household size and may be a source of error. Please send ground feedback to UNITAR-UNOSAT.
  • 100+ Downloads
    Updated May 15, 2019 | Dataset date: Dec 16, 2016
    This dataset updates: Never
    This map illustrates satellite-detected damage density in the city of Aleppo, Syrian Arab Republic. Satellite imagery acquired 18 September 2016, 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010 was analyzed. UNITAR - UNOSAT identified a total of 35,722 affected structures, of which 4,773 were destroyed, 14,680 severely damaged, and 16,269 moderately damaged, as of 18 September 2016. This represents an increase of approximately 154.5% in total damage since the previous UNITAR-UNOSAT analysis done using images from 1 May 2015 and 26 April 2015. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. It is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 30+ Downloads
    Updated May 15, 2019 | Dataset date: Dec 20, 2016
    This dataset updates: Never
    This map illustrates the percentage of buildings damaged in the city of Aleppo, Syrian Arabic Republic, as determined by satellite imagery analysis. Using satellite imagery acquired 18 September 2016, 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010, UNOSAT identified a total of 33,521 damaged structures within the extent of this map. These damaged structures are compared with total numbers of buildings found in a pre-conflict satellite image collected in 2009 to determine the percentage of damaged buildings across the city. Note that this analysis considers only damage in residential areas and excludes industrial areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 50+ Downloads
    Updated May 15, 2019 | Dataset date: Dec 19, 2016
    This dataset updates: Never
    This map illustrates the percentage of buildings damaged in the city of Aleppo, Syrian Arabic Republic, as determined by satellite imagery analysis. Using satellite imagery acquired 18 September 2016, 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010, UNOSAT identified a total of 33,521 damaged structures within the extent of this map. These damaged structures are compared with total numbers of buildings found in a pre-conflict satellite image collected in 2009 to determine the percentage of damaged buildings across the city. Based on this analysis and in the map extent, in 19 neighborhoods the number of damaged buildings is more than 40%. The most damaged is Al Aqabeh with 65.61% of buildings damaged and the most significant change since UNOSAT’s 2015 analysis is Khalidiyeh, which increased in percentage damage from 4.20% to 55.80%. Note that this analysis considers only damage in residential areas and excludes industrial areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 40+ Downloads
    Updated May 15, 2019 | Dataset date: Jan 3, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage in the city of Idlib, Syrian Arab Republic. Using satellite imagery acquired 01 August 2016, 06 April 2015, 02 May 2014, and 15 September 2013 UNITAR - UNOSAT identified a total of 1,267 affected structures within the city. Approximately 278 of these were destroyed, 353 severely damaged, and 636 moderately damaged. While much of the city was damaged by 06 April 2015, 768 structures were newly damaged and 39 structures experienced an increase in damage between that date and 01 August 2016. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jan 3, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage in a portion of the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 25 May 2016, 10 May 2015, 13 May 2014, and 24 October 2013, UNITAR - UNOSAT identified a total of 4,673 affected structures within the city. Approximately 802 of these were destroyed, 1,410 severely damaged, and 2,461 moderately damaged. While much of the city was damaged by 10 May 2015, 1,389 structures were newly damaged and 66 structures experienced an increase in damage between that date and 25 May 2016. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jan 6, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density in the city of Idlib, Syrian Arab Republic. Using satellite imagery acquired 06 April 2015, 02 May 2014, 15 September 2013, and 22 March 2010 UNITAR - UNOSAT identified a total of 545 affected structures within the city. Approximately 176 of these were destroyed, 180 severely damaged, and 189 moderately damaged. While much of the city was damaged by 02 May 2014, 249 structures were newly damaged and 5 structures experienced an increase in damage between that date and 06 April 2015. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Jan 6, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density in the city of Idlib, Syrian Arab Republic. Using satellite imagery acquired 01 August 2016, 06 April 2015, 02 May 2014, and 15 September 2013 UNITAR - UNOSAT identified a total of 1,267 affected structures within the city. Approximately 278 of these were destroyed, 353 severely damaged, and 636 moderately damaged. While much of the city was damaged by 06 April 2015, 768 structures were newly damaged and 39 structures experienced an increase in damage between that date and 01 August 2016. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.