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  • OCHA FTS
    Updated February 18, 2018 | Dataset date: Feb 18, 2018
    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.
    • CSV
    • 1100+ Downloads
    • This dataset updates: Every day
  • 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.
  • 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.
  • 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.
  • 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.
  • OCHA ROSC
    Updated February 13, 2018 | Dataset date: Jun 1, 2017
    Syria Administrative boundaries for levels 0 - 4, with Arabic Names, English Names, and p-codes. Geodatabase maintains Arabic names better than shapefile Note that Admin 4 is the populated places layer. Admin Level 1= Governorate = Mohafaza Admin Level 2 = District = Mantika Admin Level 3 = Sub-district= Nahya Admin Level 4 = Populated places = City or Village or Farm or Camp
  • OCHA Turkey
    Updated February 7, 2018 | Dataset date: Feb 15, 2018
    Data contains Syria IDP arrival estimations for Jan-Dec 2017, January 2016-December 2017 summary and table shows origin to destination estimation by governorate for Jan-Dec 2017.
    • XLSX
    • 10+ Downloads
    • This dataset updates: Every year
  • UNESCO
    Updated February 1, 2018 | Dataset date: Jan 1, 1970-Dec 31, 2016
    Contains data from UNESCO's data portal covering various indicators.
    • CSV
    • 10+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated January 27, 2018 | Dataset date: Jan 1, 1950-Dec 31, 2050
    Contains data from World Health Organization's data portal covering various indicators (one per resource).
    • CSV
    • 100+ Downloads
    • This dataset updates: Every year
  • Johns Hopkins School of Public Health
    Updated January 26, 2018 | Dataset date: Apr 1, 2016-Jun 1, 2016
    This is the underlying data for a manuscript published in PLOS: Currents Disasters. The manuscript reports results from a survey of accessible areas, which were largely urban and government controlled, undertaken from April - June 2016 to identify unmet needs and assistance priorities in Syria.
    • XLS
    • 10+ Downloads
    • This dataset updates: Every year
  • OCHA Turkey
    Updated January 26, 2018 | Dataset date: Jun 18, 2017
    Data contains Syria IDP arrival estimations for May 2017, January 2016-May 2017 summary and table shows origin to destination estimation by governorate for May 2017.
    • XLSX
    • 20+ Downloads
    • This dataset updates: Every month
  • OCHA Turkey
    Updated January 26, 2018 | Dataset date: May 21, 2017
    Data contains Syria IDP arrival estimations for April 2017, January 2016-April 2017 summary and table shows origin to destination estimation by governorate for April 2017.
    • XLSX
    • 10+ Downloads
    • This dataset updates: Every month
  • HDX
    Updated January 25, 2018 | Dataset date: Jan 1, 2011-Dec 31, 2017
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
    • CSV
    • 700+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated January 25, 2018 | Dataset date: Jan 1, 1960-Dec 31, 2017
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
    • JSON
    • 30+ Downloads
    • This dataset updates: Every year
  • Internal Displacement Monitoring Centre (IDMC)
    Updated January 24, 2018 | Dataset date: Jan 1, 2009-Dec 31, 2016
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. "People Displaced" refers to the number of people living in displacement as of the end of each year. Contains data from IDMC's data portal.
    • JSON
    • 90+ Downloads
    • This dataset updates: Every year
  • OCHA Turkey
    Updated January 23, 2018 | Dataset date: Jan 23, 2018
    Data contains Syria IDP arrival estimations for December 2017, January 2016-December 2017 summary and table shows origin to destination estimation by governorate for December 2017.
    • XLSX
    • 40+ Downloads
    • This dataset updates: Every month
  • WorldPop
    Updated January 23, 2018 | Dataset date: Jan 1, 2020
    These datasets provide estimates of population counts for each 100 x 100m grid cell in the country for various years. Please refer to the metadata file and WorldPop website (www.worldpop.org) for full information.
  • This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 10 January 2018, UNOSAT located 10,418 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is a 6.5 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 21 September 2017. 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.
  • International NGO Safety Organisation (INSO)
    Updated January 19, 2018 | Dataset date: Jan 1, 2016-Dec 31, 2017
    This dashboard provides aggregated global data on the safety & security incidents affecting NGOs in those countries covered by INSO*. It is intended to improve the visibility of macro-trends in humanitarian safety in order to raise awareness, inform research and strengthen operational practise. All data is sourced from INSO and assumed correct at the time of publishing. Please read below for advanced definitions & meanings. The information contained in this dashboard may be cited or reproduced only with credit to INSO.
    • XLSX
    • 500+ Downloads
    • This dataset updates: Every month
  • Population Movement Initiative for South Syria - December 2017 Dataset
    • XLSX
    • 20+ Downloads
    • This dataset updates: Every month
  • Global Healthsites Mapping Project
    Updated January 15, 2018 | Dataset date: Jan 15, 2018
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 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.
  • 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.
  • OCHA Turkey
    Updated December 19, 2017 | Dataset date: Dec 19, 2017
    Data contains Syria IDP arrival estimations for November 2017, January 2016-November 2017 summary and table shows origin to destination estimation by governorate for November 2017.
    • XLSX
    • 70+ Downloads
    • This dataset updates: Every month
  • OCHA Turkey
    Updated December 7, 2017 | Dataset date: Nov 23, 2017
    Data contains Syria IDP arrival estimations for October 2017, January 2016-October 2017 summary and table shows origin to destination estimation by governorate for October 2017.
    • XLSX
    • 80+ Downloads
    • This dataset updates: Every month