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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
    • 1000+ Downloads
    • This dataset updates: Every day
  • Humanitarian OpenStreetMap Team (HOT)
    Updated February 10, 2018 | Dataset date: Feb 10, 2018
    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.
  • Humanitarian OpenStreetMap Team (HOT)
    Updated February 10, 2018 | Dataset date: Feb 10, 2018
    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.
  • Humanitarian OpenStreetMap Team (HOT)
    Updated February 10, 2018 | Dataset date: Feb 10, 2018
    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.
  • Armed Conflict Location & Event Data Project (ACLED)
    Updated February 6, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2018
    The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.
    • CSV
    • This dataset updates: Live
  • 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
  • UNESCO
    Updated January 26, 2018 | Dataset date: Jan 1, 1970-Dec 31, 2016
    Contains data from UNESCO's data portal covering various indicators.
    • CSV
    • This dataset updates: Every year
  • 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
    • 20+ Downloads
    • This dataset updates: Every year
  • Internal Displacement Monitoring Centre (IDMC)
    Updated January 24, 2018 | Dataset date: Jan 1, 2008-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
    • 20+ Downloads
    • This dataset updates: Every year
  • 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.
  • 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
  • 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
  • Global Shelter Cluster
    Updated December 18, 2017 | Dataset date: Jan 1, 2015-Dec 31, 2016
    4W data from the Shelter Cluster in Iraq
    • CSV
    • 200+ Downloads
    • This dataset updates: Every month
  • WFP - World Food Programme
    Updated December 5, 2017 | Dataset date: Dec 5, 2017
    The Global Food Prices Database has data on food prices (e.g., beans, rice, fish, and sugar) for 76 countries and some 1,500 markets. The dataset includes around 500,000 records and is updated monthly. The data goes back as far as 1992 for a few countries, although most of the price trends start in 2000-2002.
    • CSV
    • 1300+ Downloads
    • This dataset updates: Every three months
  • This map illustrates satellite-detected damage density in Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 4 August 2017, UNITAR - UNOSAT identified a total of 19,888 affected structures within the city. Approximately 4,773 of these were destroyed, 8,233 severely damaged and 6,882 moderately damaged. 115 of the total affected structures are greenhouses. Around 7,620 of the total affected structures are found within the Old City. The inset shows part of the second most heavily impacted area after the Old City, which appears to be the Al-Shafaa district. UNOSAT also assessed the presence of affected bridges and roads: 317 are the damaged locations and 134 of these are caused by visible impact craters. 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 in Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 4 August 2017, UNITAR - UNOSAT identified a total of 19,888 affected structures within the city. Approximately 4,773 of these were destroyed, 8,233 severely damaged and 6,882 moderately damaged. 115 of the total affected structures are greenhouses. Around 7,620 of the total affected structures are found within the Old City. The inset shows part of the second most heavily impacted area after the Old City, which appears to be the Al-Shafaa district. UNOSAT also assessed the presence of affected bridges and roads: 317 are the damaged locations and 134 of these are caused by visible impact craters. 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 damaged and potentially damaged buildings and the related density of damage in the areas north of Sarpol-e-Zahab county in Kermanshah province, Iran following the M 7.3 earthquake that struck the area on the 12 November 2017. The analysis was carried out comparing a post-event Pleiades image acquired on the 16 November 2017 with a pre-event WorldView3 image of 24 July 2017. The results indicate damage across several localities and villages in this zone and about 3300 structures were identified as potentially damaged (e.g. 362 in Koeeke Hasan; 148 in Tapamaran and 98 in Jaberi). 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 damaged and potentially damaged buildings in the town of Koeeke Hasan, Iran following the M 7.3 earthquake that struck the area on the 12 November 2017. The analysis was carried out comparing a post-event Pleiades image acquired on the 16 November 2017 with a pre-event WorldView3 image of 24 July 2017. The results indicate intense damage across the whole town, particularly in Koeeke Hasan, Koeeke Aziz and Koeeke Mahmod. A total of 1174 structures have been identified as damaged or collapesed across the area extent represented here. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates potentially damaged structures/buildings and related density in Sarpol-e-Zahab, Kermanshah, Iran as detected by a Pleiades satellite image acquired on 16 November 2017. The UNITAR-UNOSAT analysis identified 683 damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap (~9700 structures), this represents about 7 % of the total number of structures within Sarpol-e-Zahab. The damage density highlights that the neighbourhood of Maskane Mahar and the area around the Post Office are amongst the most affected zones. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.  
  • Satellite Data (1): Pleiades Imagery Dates: 16 November 2017 Resolution: 50 cm Copyright: CNES 2017, distribution AIRBUS Defense and Space Source: Airbus Defense and Space Satellite Data (2): Resurs-P Imagery Dates: 14 November 2017 Resolution:1m Copyright: Roscosmos Source: Roscosomos Baseline Data: GADM, OpenStreetMap Analysis :UNITAR - UNOSAT/Iranian Space Agency Production: UNITAR - UNOSAT
  • UNHCR - The UN Refugee Agency
    Updated October 24, 2017 | Dataset date: Jan 1, 1990-Dec 31, 2027
    Data about UNHCR's populations of concern originating from Iraq. There are five types of data available (by year, unless otherwise noted): Persons of concern Time-series data for refugees Refugee status determination for asylum seekers Number of asylum seekers (by month). Refugees resettled. The source data comes from the UNHCR Population Statistics portal.
    • CSV
    • 10+ Downloads
    • This dataset updates: Live
  • UNHCR - The UN Refugee Agency
    Updated October 24, 2017 | Dataset date: Jan 1, 1990-Dec 31, 2027
    Data about UNHCR's populations of concern residing in Iraq. There are six types of data available (by year, unless otherwise noted): Persons of concern Time-series data for refugees Demographic profile of refugees Refugee status determination for asylum seekers Number of asylum seekers (by month). Refugees resettled. The source data comes from the UNHCR Population Statistics portal.
    • CSV
    • 20+ Downloads
    • This dataset updates: Live
  • InterAction
    Updated October 24, 2017 | Dataset date: Nov 16, 2015-Dec 31, 2027
    List of aid activities by InterAction members in Iraq. Source: http://ngoaidmap.org/location/gn_99237
    • CSV
    • JSON
    • 10+ Downloads
    • This dataset updates: Live