Data Grid Completeness
6/27 Core Data 25 Datasets 17 Organisations Show legend
What is Data Grid Completeness?
Data Grid Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
  • No dataset found matching the criteria
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Affected People
5 Datasets
Refugees & Persons of Concern
Humanitarian Profile Locations
U.S. Department of State - Humanitarian Information Unit
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Coordination & Context
9 Datasets
3w - Who is doing what where
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Damaged & Destroyed Buildings
UN Operational Satellite Applications Programme (UNOSAT)
UN Operational Satellite Applications Programme (UNOSAT)
Food Security & Nutrition
1 Datasets
Food security
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
5 Datasets
Health & Education
5 Datasets
Health Facilities
Global Healthsites Mapping Project
Education Facilities
Affected Schools
Assistance Coordination Unit
Assistance Coordination Unit
Population & Socio-economy
1 Datasets
Baseline Population
Baseline Population by Age & Sex
Poverty Rate
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  • 200+ Downloads
    Updated January 26, 2018 | Dataset date: Apr 1, 2016-Jun 1, 2016
    This dataset updates: Every year
    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.
  • 200+ Downloads
    Updated January 26, 2018 | Dataset date: Jun 18, 2017
    This dataset updates: Every month
    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.
  • 100+ Downloads
    Updated January 26, 2018 | Dataset date: May 21, 2017
    This dataset updates: Every month
    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.
  • 200+ Downloads
    Updated January 23, 2018 | Dataset date: Jan 23, 2018
    This dataset updates: Every month
    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.
  • 200+ Downloads
    Updated January 16, 2018 | Dataset date: Jan 15, 2018
    This dataset updates: As needed
    Population Movement Initiative for South Syria - December 2017 Dataset
  • 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.
  • 200+ Downloads
    Updated December 19, 2017 | Dataset date: Dec 19, 2017
    This dataset updates: Every month
    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.
  • 200+ Downloads
    Updated December 7, 2017 | Dataset date: Feb 19, 2017
    This dataset updates: Every month
    Data contains Syria IDP arrival estimations for January 2017, January 2016-January 2017 summary and table shows origin to destination estimation by governorate for January 2017.
  • 100+ Downloads
    Updated December 7, 2017 | Dataset date: Mar 19, 2017
    This dataset updates: Every month
    Data contains Syria IDP arrival estimations for February 2017, January 2016-February 2017 summary and table shows origin to destination estimation by governorate for February 2017.
  • 200+ Downloads
    Updated December 7, 2017 | Dataset date: Apr 16, 2017
    This dataset updates: Every month
    Data contains Syria IDP arrival estimations for March 2017, January 2016-March 2017 summary and table shows origin to destination estimation by governorate for March 2017.
  • 200+ Downloads
    Updated December 7, 2017 | Dataset date: Jul 16, 2017
    This dataset updates: Every month
    Data contains Syria IDP arrival estimations for June 2017, January 2016-June 2017 summary and table shows origin to destination estimation by governorate for June 2017.
  • 200+ Downloads
    Updated December 7, 2017 | Dataset date: Aug 14, 2017
    This dataset updates: Every month
    Data contains Syria IDP arrival estimations for July 2017, January 2016-July 2017 summary and table shows origin to destination estimation by governorate for July 2017.
  • 100+ Downloads
    Updated December 7, 2017 | Dataset date: Sep 17, 2017
    This dataset updates: Every month
    Data contains Syria IDP arrival estimations for August 2017, January 2016-August 2017 summary and table shows origin to destination estimation by governorate for August 2017.
  • This map illustrates density of satellite-detected shelters and other buildings at the Atmeh Internally Displaced Persons settlement in Dana Subdistrict, Harem District, Idlib Governorate, Syria. As of 12 July 2017, a total of 14,569 shelters were detected as well as 217 infrastructure and support buildings within the displayed area. This represents an increase in structures of over 88% since the previous UNOSAT analysis using an image from 22 May 2015, when the number of shelters was 7,684 and the number of infrastructure and support buildings was 171 within the same area. The full UNOSAT analysis detected 45,591 structures over the Dana Subdistrict as of 12 July 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • This map illustrates density of satellite-detected shelters and other buildings at the Qah Internally Displaced Persons settlement in Dana Subdistrict, Harem District, Idlib Governorate, Syria. As of 12 July 2017, a total of 18,547 shelters were detected as well as 333 infrastructure and support buildings within the displayed area. This represents an increase in structures of over 73% since the previous UNOSAT analysis using an image from 22 May 2015, when the number of shelters was 10,898 and the number of infrastructure and support buildings was 48 within the same area.The full UNOSAT analysis detected 45,591 structures over the Dana Subdistrict as of 12 July 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 50+ Downloads
    Updated Live | Dataset date: Nov 28, 2017
    This dataset updates: Live
    This map illustrates satellite-detected damage density in the city of Ar Raqqa, Syrian Arab Republic. Using satellite imagery acquired 21 October 2017, 03 February 2017, 29 May 2015, 12 February 2014, 22 October 2013, UNITAR - UNOSAT identified a total of 12,668 affected structures within the city. Approximately 3,289 of these were destroyed, 3,924 severely damaged, and 5,455 moderately damaged. While some damaged was present by 3 February, most of the damaged occured between that date and 21 October 2017 when 10,991 structures were newly damaged and 64 structures experienced an increase in damage.This analysis does not include pre-war military bases and facilities. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Updated Live | Dataset date: Nov 28, 2017
    This dataset updates: Live
    This map illustrates satellite-detected damage in a portion of the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 9 November 2017, 25 May 2016, 10 May 2015, 13 May 2014, and 24 October 2013, UNITAR - UNOSAT identified a total of 6,348 affected structures within the city. Approximately 1,144 of these were destroyed, 2,348 severely damaged, and 2,856 moderately damaged. While much of the city was damaged by 25 May 2016, 1,859 structures were newly damaged and 386 structures experienced an increase in damage between that date and 9 November 2017. This analysis does not include pre-war military bases and facilities. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated Live | Dataset date: Nov 28, 2017
    This dataset updates: Live
    This map illustrates satellite-detected damage density in a portion of the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 9 November 2017, 25 May 2016, 10 May 2015, 13 May 2014, and 24 October 2013, UNITAR - UNOSAT identified a total of 6,348 affected structures within the city. Approximately 1,144 of these were destroyed, 2,348 severely damaged, and 2,856 moderately damaged. While much of the city was damaged by 25 May 2016, 1,859 structures were newly damaged and 386 structures experienced an increase in damage between that date and 9 November 2017. This analysis does not include pre-war military bases and facilities. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 200+ Downloads
    Updated November 23, 2017 | Dataset date: Nov 23, 2017
    This dataset updates: Every month
    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.
  • 200+ Downloads
    Updated November 16, 2017 | Dataset date: Oct 23, 2017-Oct 25, 2017
    This dataset updates: As needed
    The October 2017 dataset of the IMMAP-UNHCR Protection Movement Initiative for South Syria. Explore the PMI Power BI dashboard: https://app.powerbi.com/view?r=eyJrIjoiMjYyYjE5NWUtZTdmYi00ZDZhLTg2N2UtMDg1MzUxMWIxZDA2IiwidCI6ImY2ZjcwZjFiLTJhMmQtNGYzMC04NTJhLTY0YjhjZTBjMTlkNyIsImMiOjF9
  • 200+ Downloads
    Updated October 24, 2017 | Dataset date: Oct 23, 2017
    This dataset updates: Every month
    Data contains Syria IDP arrival estimations for September 2017, January 2016-September 2017 summary and table shows origin to destination estimation by governorate for September 2017.
  • 50+ Downloads
    Updated July 20, 2017 | Dataset date: Jun 21, 2017
    This dataset updates: Never
    This map illustrates satellite-detected areas of displaced person settlements in the Daraa and Quneitra Governorates, Syria. Using satellite imagery collected between 3 November 2016 and 7 June 2017, covering an analyzed area of 2,513 sq km (251,362 ha), UNOSAT identified 766 locations where possible displaced persons shelters are visible. Approximately a total of 5,516 shelter structures are estimated to be within the 777 ha of settlement areas. Due to the characteristics of the possible IDP settlements in the area, being the majority of them scattered structures in agricultural fields, the number of possible IDP shelters might have been overestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 60+ Downloads
    Updated July 20, 2017 | Dataset date: Jun 21, 2017
    This dataset updates: Never
    This map illustrates satellite-detected areas of displaced person settlements in the Idlib, Lattakia and Aleppo Governorates, Syria. Using satellite imagery collected between 7 September 2016 and 10 February 2017, covering an analyzed area of 9,039 sq km (903,920 ha), UNOSAT identified 267 locations where possible displaced persons shelters are visible. Approximately a total of 63,771 shelter structures are estimated to be within the 1,501 ha of settlement 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 July 20, 2017 | Dataset date: Jun 12, 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage in the city of Daraa, Syrian Arab Republic. Using satellite imagery acquired 07 February and 06 January 2017, 19 April 2016, 04 June 2015, 01 January 2014, and 07 September 2013, UNITAR - UNOSAT identified a total of 1,503 affected structures within the city. Approximately 224 of these were destroyed, 498 severely damaged, and 781 moderately damaged. While some of the city was damaged by 19 April 2016, 419 structures were newly damaged and 7 structures experienced an increase in damage between that date and 07 February 2017. This analysis does not include pre-war military bases and facilities. 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.