Key Figures
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  • OCHA FTS
    Updated July 24, 2017 | Dataset date: Jul 24, 2017
    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
    • 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.
  • HDX
    Updated July 20, 2017 | Dataset date: Jan 1, 1960-Dec 31, 2016
    Contains data from World Bank's data portal covering various indicators (one per resource).
    • JSON
    • This dataset updates: Every year
  • This map illustrates satellite-detected damage in Old City, Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 30 June 2017, UNITAR - UNOSAT identified a total of 5,536 affected structures within this part of city. This marks an overall increase of 37% in damage affected structures from the assessment fourteen days prior on 16 June. Approximately 490 of these were destroyed (9% of the total affected buildings), 3,310 severely damaged (60% of the total affected buildings) and 1,736 moderately damaged (31% of the total affected buildings). This marks a 150% increase in destroyed buildings, 0% in moderately damaged buildings and 57% severely damaged buildings from the 16 June assessment. The most heavily impacted area appears to be the Ammu Baqqal neighbourhood (see inset). Due to the densely constructed nature of this part of the city, these values might be underestimated. 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 Old City, Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 16 June 2017, UNITAR - UNOSAT identified a total of 4,040 affected structures within this part of city. This marks an overall increase of 56% in damage affected structures from the assessment five days prior on 11 June. Approximately 196 of these were destroyed (5% of the total affected buildings), 2,107 severely damaged (52% of the total affected buildings) and 1,737 moderately damaged (43% of the total affected buildings). This marks a 28% increase in destroyed buildings, 17% in moderately damaged buildings and 121% severely damaged buildings from the 11 June assessment. The most heavily impacted area appears to be the Bab al-Tub neighbourhood (see inset). Due to the densely constructed nature of this part of the city, these values might be underestimated. 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 Old City, Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 11 June 2017, UNITAR - UNOSAT identified a total of 2,589 affected structures within this part of city. Approximately 153 (6% of the total affected buildings) of these were destroyed, 950 (37% of the total affected buildings) severely damaged and 1,486 (57% of the total affected buildings) moderately damaged. The most heavily impacted location appears to be the Bazaar area (see inset). Due to the densely constructed nature of this part of the city, these values might be underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • WorldPop
    Updated July 20, 2017 | Dataset date: Jan 1, 2015
    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 July 12, 2017 | Dataset date: Jan 1, 2016-Jun 30, 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
    • This dataset updates: Every month
  • Joint IDP Profiling Service (JIPS)
    Updated July 10, 2017 | Dataset date: Jun 1, 2016-Jun 30, 2016
    Iraq-KRI (Duhok) profiling of urban/out-of-camp IDPs, Syrian refugees, and host populations with data collected during June 2016 (report published September 2016). The exercise included a household survey administered to a sample of 1,205 households (394 IDP, 402 refugee and 409 host households). Data can also be explored through the DART: http://www.dart.jips.org/.
    • XLSX
    • This dataset updates: Never
  • Joint IDP Profiling Service (JIPS)
    Updated July 10, 2017 | Dataset date: Jun 1, 2016-Jun 30, 2016
    Iraq-KRI (Sulaymaniyah) profiling exercise of urban/out-of-camp IDPs, Syrian refugees, and host populations with data collected June 2016 (report published September 2016). The exercise included a household survey administered to a sample of 1,201 households (401 IDP, 401 refugee and 399 host community households). Data can also be explored through the DART: http://www.dart.jips.org/.
    • XLSX
    • This dataset updates: Never
  • Joint IDP Profiling Service (JIPS)
    Updated July 10, 2017 | Dataset date: Dec 1, 2015-Jan 31, 2016
    Iraq (Erbil) profiling of urban/out-of-camp IDPs, Syrian refugees, and host populations with data collected from Dec 2015 until January 2016 (report published June 2016). The exercise included a household survey administered to a sample of 1,163 households (403 IDP, 370 refugee and 390 host households). Data can also be explored through the DART: http://www.dart.jips.org/.
    • XLSX
    • This dataset updates: Never
  • This dataset contains data about the number of people reached with food assistance in emergency settings. The data is collected from external WFP situation reports and emergency dashboards.
    • XLSX
    • This dataset updates: Every month
  • Global CCCM Cluster
    Updated July 4, 2017 | Dataset date: Jul 4, 2017
    The Formal Sites Monitoring Tool (FSMT) is a camp management monitoring tool, designed to provide a synopsis of the main demographic information at site level as well key humanitarian indicators for all formal sites across Iraq.
    • CSV
    • This dataset updates: Every month
  • OCHA ROMENA
    Updated June 26, 2017 | Dataset date: Jul 17, 2014
    Admin COD datasets for IRQ endorsed by IMWG and CO on October 2015; see metadata for description of cleaning and processing performed by ITOS. The dataset represents Admin Level 0 (International), Admin Level 1 (Governorate), Admin Level 2 (District).
  • Global CCCM Cluster
    Updated June 15, 2017 | Dataset date: Jun 15, 2017
    The RASP is the technical tool of the CCCM Cluster which captures data from informal settlements and provides location specific information about the population, their living conditions and humanitarian needs.
    • CSV
    • This dataset updates: Every month
  • Global CCCM Cluster
    Updated June 15, 2017 | Dataset date: May 23, 2017
    The RASP is the technical tool of the CCCM Cluster which captures data from informal settlements and provides location specific information about the population, their living conditions and humanitarian needs.
    • CSV
    • This dataset updates: Every month
  • Global Shelter Cluster
    Updated June 12, 2017 | Dataset date: Jan 1, 2015-Dec 31, 2016
    4W data from the Shelter Cluster in Iraq
    • 4w
    • This dataset updates: Every month
  • OCHA Iraq
    Updated May 21, 2017 | Dataset date: Jul 17, 2014
    Admin COD datasets for IRQ endorsed by IMWG and CO on October 2015; see metadata for description of cleaning and processing performed by ITOS. The dataset represents Admin Level 0 (International), Admin Level 1 (Governorate), Admin Level 2 (District).
  • Global CCCM Cluster
    Updated May 10, 2017 | Dataset date: May 1, 2017
    The Formal Sites Monitoring Tool (FSMT) is a camp management monitoring tool, designed to provide a synopsis of the main demographic information at site level as well key humanitarian indicators for all formal sites across Iraq.
    • CSV
    • This dataset updates: Every month
  • OCHA Iraq
    Updated April 20, 2017 | Dataset date: Jul 22, 2014
    These datasets are intended for coordination and operations in humanitarian activities. The purpose of this settlements list in particular is as a gazetteer for geographical reference. It is not intended as a cartographic source or as an authoritative reference list. The list is derived from IOM's placename database, which is the most extensive currently maintained placename source available for Iraq, and provides compatability with IOM's Displacement Tracking Matrix (DTM). The list does NOT contain any designations of hierarchy (e.g. governorate / district capitals) or of size (e.g. settlement size or population size). Thus, the placenames refer to a variety of populated places including cities, towns, villages and neighbourhoods. Arabic names are in the process of being added; some are included in this dataset.
  • WFP - World Food Programme
    Updated April 6, 2017 | Dataset date: Mar 13, 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
    • This dataset updates: Every month
  • Global CCCM Cluster
    Updated April 5, 2017 | Dataset date: Apr 5, 2017
    The RASP is the technical tool of the CCCM Cluster which captures data from informal settlements and provides location specific information about the population, their living conditions and humanitarian needs.
    • CSV
    • This dataset updates: Every month