Iraq

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  • 300+ Downloads
    Time Period of the Dataset [?]: March 01, 2020-December 31, 2020 ... More
    Modified [?]: 15 April 2021
    Dataset Added on HDX [?]: 15 April 2021
    This dataset updates: Every three months
    Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
  • 60+ Downloads
    Time Period of the Dataset [?]: July 14, 2020-September 23, 2020 ... More
    Modified [?]: 15 April 2021
    Confirmed [?]: 15 April 2021
    Dataset Added on HDX [?]: 9 February 2021
    This dataset updates: Every year
    The eighth round of Iraq's Multi-Cluster Needs Assessment (MCNA) conducted by REACH Initiative in close coordination with the Assessment Working Group (AWG), UN OCHA, and the Inter-Cluster Coordination Group (ICCG), seeks to understand multi-sectoral priority needs of conflict-affected populations living across the whole of Iraq. Between July 14 and September 23, 2020, a total of 9,634 in-camp IDP, out of camp IDP, and returnee households were assessed in a total of 61 districts in Iraq (including 40 formal camps).
  • Time Period of the Dataset [?]: September 01, 2019-September 01, 2019 ... More
    Modified [?]: 18 March 2021
    Dataset Added on HDX [?]: 28 November 2019
    This data is by request only
    MCNA conducted at household level nationwide in Iraq. The MCNA covered all conflict-affected populations: in-camp IDP, out-of-camp IDP, returnee and select host populations, in all accessible districts where target population were present. Sampled on district (ADM 2) level and data collected June - August 2019.
  • 40+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-November 30, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 1 December 2020
    This dataset updates: As needed
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • 400+ Downloads
    Time Period of the Dataset [?]: November 20, 2020-November 20, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 20 November 2020
    This dataset updates: As needed
    Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2018-December 31, 2019 ... More
    Modified [?]: 16 October 2020
    Dataset Added on HDX [?]: 16 October 2020
    This dataset updates: Never
    The data describes financial transactions from OCHA to their implementing partners in IRQ and oPT, and then onwards to sub-implementing partners. The data is a combination of data from OCHA GMS and data collected from OCHA implementing parters. The data from Implementing partners complement OCHA:s data with information on when funds were recieved and if/when funds were sent on to sub-implementing partners. This allows for analysis of how long and costly financial transactions are.
  • 400+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 16 September 2020
    Dataset Added on HDX [?]: 20 July 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: World Pop - Population Counts
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
  • 400+ Downloads
    Time Period of the Dataset [?]: August 31, 2020-August 31, 2020 ... More
    Modified [?]: 4 September 2020
    Dataset Added on HDX [?]: 26 May 2020
    This dataset updates: As needed
    The new and emerging access constraints that people are currently experiencing because of the COVID-19 outbreak.
  • 100+ Downloads
    Time Period of the Dataset [?]: August 31, 2020-August 31, 2020 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 22 July 2020
    This dataset updates: Every two weeks
    This dataset contains scores for humanitarian access constraints into country, constraints within country, impacts the constraints have led to as well as the mitigation strategies in place to limit the impact. The scores have the following interpretations: 0 = NA, 1 = No or open, 2 = partially open/closed, 3 = Yes or closed
  • 100+ Downloads
    Time Period of the Dataset [?]: March 01, 2015-June 01, 2018 ... More
    Modified [?]: 2 September 2020
    Dataset Added on HDX [?]: 26 September 2018
    This dataset updates: Every month
    This dataset is part of the data series [?]: WFP - Food Security Indicators
    The World Food Programme (WFP) launched the mobile Vulnerability Analysis and Mapping (mVAM) project in 2013, beginning in DRC and Somalia. mVAM uses mobile technology to track food security trends in real-time, providing high-frequency data that supports humanitarian decision-making. Data collection methods are tailored to the needs of each country that mVAM operates in. This dataset contains data from the mVAM databank covering various indicators (one per resource).
  • 433000+ Downloads
    Time Period of the Dataset [?]: January 22, 2020-March 09, 2023 ... More
    Modified [?]: 28 July 2020
    Dataset Added on HDX [?]: 7 February 2020
    This dataset updates: As needed
    JHU Has Stopped Collecting Data As Of 03/10/2023 After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations. The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics. Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 22 June 2020
    Dataset Added on HDX [?]: 24 November 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Population Density
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 6 May 2020
    Confirmed [?]: 6 May 2020
    Dataset Added on HDX [?]: 6 May 2020
    This dataset updates: Every year
    This data contains the number of people in need, internally displaced persons (IDPs), returnees and refugees for 25 countries.
  • 300+ Downloads
    Time Period of the Dataset [?]: March 26, 2020-March 26, 2020 ... More
    Modified [?]: 6 May 2020
    Dataset Added on HDX [?]: 6 May 2020
    This dataset updates: As needed
    Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.
  • 300+ Downloads
    Time Period of the Dataset [?]: May 05, 2020-May 05, 2020 ... More
    Modified [?]: 6 May 2020
    Dataset Added on HDX [?]: 6 May 2020
    This dataset updates: As needed
    This dataset contains simulation ­based estimates for COVID­-19 epidemic scenarios in OCHA HRP countries. Simulation is done by London School of Hygiene & Tropical Medicine(LSHTM).
  • 100+ Downloads
    Time Period of the Dataset [?]: September 01, 2019-September 01, 2019 ... More
    Modified [?]: 28 November 2019
    Confirmed [?]: 18 March 2021
    Dataset Added on HDX [?]: 24 September 2019
    This dataset updates: Every year
    MCNA conducted at household level nationwide in Iraq. The MCNA covered all conflict-affected populations: in-camp IDP, out-of-camp IDP, returnee and select host populations, in all accessible districts where target population were present. Sampled on district (ADM 2) level and data collected June - August 2019.
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2015-December 31, 2017 ... More
    Modified [?]: 28 January 2019
    Dataset Added on HDX [?]: 8 June 2018
    This dataset updates: As needed
    This dataset contains agency- and publicly-reported data on sexual violence and abuse against aid workers between January 2015 and December 2017. Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
  • 60+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More
    Modified [?]: 1 November 2018
    Dataset Added on HDX [?]: 27 May 2019
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Age and sex structures
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here. Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020. The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646
  • COD 1200+ Downloads
    Time Period of the Dataset [?]: January 01, 2004-January 01, 2004 ... More
    Modified [?]: 15 August 2018
    Confirmed [?]: 29 November 2021
    Dataset Added on HDX [?]: 18 November 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: COD - Hydrology
    River / Streams 1:50,000 Baseline spatial data
  • COD 1100+ Downloads
    Time Period of the Dataset [?]: January 01, 2003-January 01, 2003 ... More
    Modified [?]: 15 August 2018
    Confirmed [?]: 2 March 2020
    Dataset Added on HDX [?]: 18 November 2015
    This dataset updates: As needed
    This dataset is part of the data series [?]: COD - Infrastructure
    The Iraq Roads Network . 1:50,000 Baseline spatial data - Road Network
  • COD 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2004-January 01, 2004 ... More
    Modified [?]: 15 August 2018
    Confirmed [?]: 29 November 2021
    Dataset Added on HDX [?]: 18 November 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: COD - Hydrology
    Location of lakes and water ponds in iraq 1:50,000 Baseline spatial data
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2015-January 01, 2015 ... More
    Modified [?]: 10 August 2018
    Dataset Added on HDX [?]: 5 July 2018
    This dataset updates: As needed
    This dataset is part of the data series [?]: WorldPop - Population Estimates by COD Administrative Unit
    These data summarize the latest available WorldPop gridded population datasets into the administrative units of the common operational dataset (COD). Note that these data should not be considered the COD datasets for population unless endorsed by the humanitarian community in country, but rather as a starting point if no COD dataset is available, or as a point of comparison with other population datasets. These data are provided as a prototype and feedback is welcome at hdx.feedback@gmail.com
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 5 May 2018
    Dataset Added on HDX [?]: 27 May 2019
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Births
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Iraq 1km Births. Version 1.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00557
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 5 May 2018
    Dataset Added on HDX [?]: 27 May 2019
    This dataset updates: Every year
    This dataset is part of the data series [?]: WorldPop - Pregnancies
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Iraq 1km Pregnancies. Version 1.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00608
  • 90+ Downloads
    Time Period of the Dataset [?]: March 01, 2017-July 31, 2017 ... More
    Modified [?]: 23 February 2018
    Dataset Added on HDX [?]: 23 February 2018
    This dataset updates: Every year
    This is the minimal underlying dataset for a forthcoming manuscript presenting results from a cross-sectional survey aimed at measuring deaths, injuries, and kidnapping in Mosul households during the 29 months of ISIS control and the 8 months of Iraqi military action during the liberation.