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  • OCHA Yemen
    Updated December 13, 2017 | Dataset date: Nov 1, 2015
    Administrative boundary datasets for levels 0, 1 and 2 (international, governorate, and district) for Yemen approved for use by OCHA Yemen Country Office in November 2015. Admin Level 1= Governorate = Mohafaza Admin Level 2 = District = Modeeriyyah PCODES are those used by Yemen Central Statistical Office. "YE" is added as a prefix for the codes. The process of clearing Admin 3 (sub-district) has not been finished and this level is not included. Additionally, the other layers (0, 1, and 2) may undergo minor modification in the coming months.
  • The Task Force for Population Movement (TFPM) is a Technical Working Group to the Inter-Cluster Coordination Mechanism. (ICCM) The TFPM implements an information management tool that gathers data and location of displaced persons across Yemen. As of 01 Sep 2017, the TFPM has identified, 2,014,026 internally displaced persons (IDPs) (335,671 households) who have been displaced due to conflict since March 2015, dispersed across 21 governorates. For the same period, the TFPM has identified 956,076 returnees (159,346 households), across 20 governorates. As a result, 10.3% of the total population of Yemen has experienced the shock of displacement due to conflict in the last 30 months. The data collected is a compilation of data collection activities conducted through the period of May to August 2018. The data presents the best estimates of displacement and returnee movements in locations across Yemen.
    • XLSX
    • 100+ Downloads
    • This dataset updates: Every three months
  • OurAirports
    Updated October 20, 2017 | Dataset date: Jan 1, 2008-Dec 31, 2027
    List of airports in Yemen, with latitude and longitude. Unverified community data from http://ourairports.com/countries/YE/
    • CSV
    • 40+ Downloads
    • This dataset updates: Live
  • WFP - World Food Programme
    Updated August 21, 2017 | Dataset date: May 13, 2015
    The Food Consumption Score (FCS) dataset is based on the FCS indicator, which assigns a food security score based on food consumption and diets. This data is available sub-nationally for 38 countries, such as Nepal and Sierra Leone.
    • CSV
    • 600+ Downloads
    • This dataset updates: Every month
  • Administrative boundary datasets for levels , 1 and 2 (governorate, and district) for Yemen approved for use by OCHA Yemen Country Office in November 2015
    • topojson
    • 500+ Downloads
    • This dataset updates: Every year
  • 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
    • 800+ Downloads
    • This dataset updates: Every month
  • The data set includes the Admin1 boundaries and population estimates summarized from three sources as separate attributes: LandScan (2015), WorldPop (2010, 2015, and 2020), and Gridded Population of the World, version 4 (2015, 2020). The IPC Food Insecurity Phase Classification for Near and Medium Term (2017) are also included as attributes.
  • OCHA Yemen
    Updated May 14, 2017 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This Excel file contains population projections for 2017 by the Yemen Central Statistical Organization. The projections are based off of 2004 Census data. The population figures are disaggregated by governorate and district levels, both containing p-codes. The data is further disaggregated by sex and age groups. Additional information on population figures that take into account internally displaced people and returnees in Yemen can be found here [https://www.humanitarianresponse.info/en/operations/yemen/protection] and is produced regularly by the Task Force on Population Movement.
    • XLSX
    • 500+ Downloads
    • This dataset updates: Never
  • OCHA Yemen
    Updated May 14, 2017 | Dataset date: Jan 1, 2016-Dec 31, 2016
    This Excel file contains population projections for 2016 by the Yemen Central Statistical Organization. The projections are based off of 2004 Census data. The population figures are disaggregated by governorate and district levels, both containing p-codes. The data is further disaggregated by sex and age groups. Additional information on population figures that take into account internally displaced people and returnees in Yemen can be found here [https://www.humanitarianresponse.info/en/operations/yemen/protection] and is produced regularly by the Task Force on Population Movement.
    • excel
    • 100+ Downloads
    • This dataset updates: Never
  • HDX
    Updated January 20, 2017 | Dataset date: Jan 1, 1950-Jan 1, 2005
    [Source: United Nations Department of Economic and Social Affairs] Probability of dying between birth and exact age 5. It is expressed as average annual deaths per 1,000 births.
    • XLSX
    • CSV
    • TXT
    • 70+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated January 20, 2017 | Dataset date: Jan 1, 1950-Jan 1, 2005
    [Source: United Nations Department of Economic and Social Affairs] Number of deaths over a given period. Refers to five-year periods running from 1 July to 30 June of the initial and final years.
    • XLSX
    • CSV
    • TXT
    • 100+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated January 20, 2017 | Dataset date: Jan 1, 1950-Jan 1, 2005
    [Source: United Nations Department of Economic and Social Affairs] The average number of years of life expected by a hypothetical cohort of individuals who would be subject during all their lives to the mortality rates of a given period.
    • XLSX
    • CSV
    • TXT
    • 80+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated January 20, 2017 | Dataset date: Jan 1, 1950-Jan 1, 2010
    [Source: United Nations Department of Economic and Social Affairs] Total Population - Both Sexes. De facto population in a country, area or region as of 1 July of the year indicated. Figures are presented in thousands.
    • XLSX
    • CSV
    • TXT
    • 500+ Downloads
    • This dataset updates: Every year
  • OCHA HQ
    Updated December 14, 2016 | Dataset date: Dec 5, 2016
    Global Humanitarian Overview 2017 Figures
    • XLSX
    • 300+ Downloads
    • This dataset updates: Every year
  • UNHCR - The UN Refugee Agency
    Updated July 17, 2016 | Dataset date: Jan 1, 1975-Dec 1, 2012
    The UNHCR Refugee Population statistics are compiled and curated at headquarters-level and released yearly at the same time of the UNHCR Statistical Yearbooks. This is a subset of the data only with refugees from Yemen. The full dataset is available here. This dataset contains refugee population statistics from 1975 until 2012.
    • CSV
    • 300+ Downloads
    • This dataset updates: Every year
  • WFP - World Food Programme
    Updated July 17, 2016 | Dataset date: May 14, 2015
    The Coping Strategy Index dataset measures the severity and frequency of the strategies that households use to cope with acute food insecurity. The strategies vary from borrowing food or money from neighbors to selling household assets. This data is available for 31 countries at a sub-national level.
    • CSV
    • 400+ Downloads
    • This dataset updates: Every month
  • HDX
    Updated April 12, 2016 | Dataset date: Apr 12, 2016
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on April 12, 2016. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: EA201304_ML1 Most likely food security outcome for January-March 2016 EA201304_ML2 Most likely food security outcome for April-June 2016 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • HDX
    Updated March 21, 2016 | Dataset date: Oct 1, 2014
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on December 31, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: EA201304_ML1 Most likely food security outcome for October-December 2014 EA201304_ML2 Most likely food security outcome for January-March 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • HDX
    Updated March 21, 2016 | Dataset date: Jul 17, 2014
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on July 17, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for April-June 2014 eastafrica201304_ML2 Most likely food security outcome for July-September 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • HDX
    Updated March 21, 2016 | Dataset date: Jul 1, 2014
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on September 26, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for July-September 2014 eastafrica201304_ML2 Most likely food security outcome for October-December 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • HDX
    Updated March 21, 2016 | Dataset date: Jan 1, 2014
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on August 07, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for January-March 2014 eastafrica201304_ML2 Most likely food security outcome for April-June 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • HDX
    Updated March 21, 2016 | Dataset date: Nov 14, 2013
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on November 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for October-December 2013 eastafrica201304_ML2 Most likely food security outcome for January-March 2014 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • HDX
    Updated March 21, 2016 | Dataset date: Jul 14, 2013
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on July 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for July-September 2013 eastafrica201304_ML2 Most likely food security outcome for October-December 2013 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • HDX
    Updated March 21, 2016 | Dataset date: Jan 14, 2013
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on January 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for January-March 2013 eastafrica201304_ML2 Most likely food security outcome for April-June 2013 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • HDX
    Updated March 21, 2016 | Dataset date: Sep 30, 2015
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on September 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: easternafrica201507_ML1 Most likely food security outcome for July-September 2015 easternafrica201507_ML2 Most likely food security outcome for October-December 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)