WFP - World Food Programme

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  • Updated 24 November 2021 | Dataset date: January 01, 2018-December 31, 2018
    This layer contains information about the malnutrition levels observed during the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data source: Afghanistan Health Survey (AHS), 2018. The key indicator used for the purposes of the analysis was the prevalence of Global Acute Malnutrition (GAM) in children below 5 years of age. Original dataset title: ICA Afghanistan, 2019 - Prevalence of Global Acute Malnutrition (GAM), 2018
    20+ Downloads
    This dataset updates: As needed
  • Updated 1 October 2021 | Dataset date: July 31, 2021-July 31, 2021
    This dataset contains the change in the cost of a food basket in relation to a previous period (Periods of 3 months). The change of the cost of basic food basket is calculated by comparing the seasonally adjusted cost of the food basket with the cost in the reference period (previous quarter or baseline), as percentage change. The change is considered normal when the percentage change is between 0 and 3%, moderate when it is between 3 and 10%, high when it is between 10 and 25%, and severe above 25%. Note that the countries included here only include those monitored by WFP.
    20+ Downloads
    This dataset updates: Every month
  • Updated 22 August 2021 | Dataset date: January 01, 1990-August 15, 2021
    This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
    11000+ Downloads
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: April 01, 2019-April 01, 2019
    This dataset is based on an extract from OpenStreetMap. In addition, it contains access constraints status in the column "status" and is edited regularly with information received by partners of the Logistics cluster in Mozambique. This dataset is the same as used on the Logistics Cluster Access Constraints map published here: https://logcluster.org/sector/cyclone-idai19
    200+ Downloads
    This dataset updates: As needed
  • Updated 1 July 2021 | Dataset date: June 20, 2017-June 20, 2017
    This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
    100+ Downloads
    This dataset updates: As needed
  • Updated 1 July 2021 | Dataset date: June 16, 2017-June 16, 2017
    This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follow UNSDIT standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include main roads that have been published on a separate dataset (main roads). More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
    100+ Downloads
    This dataset updates: As needed
  • Updated 15 June 2021 | Dataset date: May 08, 2018-December 08, 2021
    This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards. The data is updated in near-real time from OSM servers and include all latest updates. NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways).
    50+ Downloads
    This dataset updates: As needed
  • Updated Live | Dataset date: August 28, 2017-December 08, 2021
    This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards.The data is updated in near-real time from OSM servers and include all latest updates.
    100+ Downloads
    This dataset updates: Live
  • Updated 28 December 2020 | Dataset date: April 29, 2016-April 29, 2016
    No abstract provided
    40+ Downloads
    This dataset updates: As needed
  • Updated 28 December 2020 | Dataset date: January 01, 2011-December 31, 2011
    Flood extent in 2011 Original dataset title: Cambodia Flood Extent in 2011
    100+ Downloads
    This dataset updates: As needed
  • Updated 13 December 2020 | Dataset date: March 15, 2019-March 15, 2019
    This dataset contains Food Prices data for Italy. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
    500+ Downloads
    This dataset updates: Every week
  • Updated 5 November 2020 | Dataset date: October 27, 2016-October 27, 2016
    This is an extraction of the WFP global obstacles dataset (https://data.humdata.org/dataset/global-obstacles) for Haiti showing obstacles after Hurricane Matthew. The dataset will refresh by itself as data is edited on our side, so it means it will always contain the most up-to-date data we have on the Logistics Cluster/WFP side, even though the date on hdx is showing an earlier date. Sources of information come mainly from Social Media compiled by local Haitian Bloggers: https://umap.openstreetmap.fr/fr/map/cyclone-matthew-haiti_105242#9/18.8166/-72.5290 The dataset is the one used to produce the Logistics Cluster Access Constraints map: http://www.logcluster.org/sector/hurrimat16
    200+ Downloads
    This dataset updates: As needed
  • Updated 26 October 2020 | Dataset date: August 01, 2020-August 01, 2020
    The dataset contains roads accessible by vehicles and trucks across the refugee camps in Cox’s Bazar Bangladesh, smaller routes and footpaths are not included, satellite imageries and ground verification was used in order to collect and consolidate this dataset. Source: Logistics Sector Contributor: WFP Date: August 2020 Expected Update Frequency: 2 times per year + as needed
    200+ Downloads
    This dataset updates: Every six months
  • Updated 25 September 2020 | Dataset date: April 11, 2017-April 11, 2017
    This dataset is an extraction of the WFP database following UNSDI-T standards. See "Attributes" tab for more information on the data structure. Roads are displayed here according to their functional class (fclass). It contains as well information on current status of the roads, as per latest Road Access Constraints map from Logistics Cluster. The dataset was updated on 11 April 2017. For more information on attributes, please go check the layer on WFP geonode:
    200+ Downloads
    This dataset updates: Every two weeks
  • Updated 2 September 2020 | Dataset date: June 01, 2016-June 01, 2017
    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).
    400+ Downloads
    This dataset updates: Every month
  • Updated 2 September 2020 | Dataset date: January 01, 2017-December 01, 2017
    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).
    200+ Downloads
    This dataset updates: Every month
  • Updated 2 September 2020 | Dataset date: August 01, 2015-May 01, 2020
    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).
    1000+ Downloads
    This dataset updates: Every month
  • Updated 2 September 2020 | Dataset date: March 01, 2016-May 01, 2020
    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).
    400+ Downloads
    This dataset updates: Every month
  • Updated 2 September 2020 | Dataset date: February 01, 2017-June 01, 2017
    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).
    200+ Downloads
    This dataset updates: Every month
  • Updated 2 September 2020 | Dataset date: January 01, 2015-February 01, 2016
    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).
    300+ Downloads
    This dataset updates: Every month
  • Updated 2 September 2020 | Dataset date: January 01, 2016-September 01, 2018
    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).
    500+ Downloads
    This dataset updates: Every month
  • Updated 2 September 2020 | Dataset date: May 01, 2017-June 01, 2017
    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).
    300+ Downloads
    This dataset updates: Every month
  • Updated 2 September 2020 | Dataset date: December 01, 2015-May 01, 2017
    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).
    300+ Downloads
    This dataset updates: Every month
  • Updated 2 September 2020 | Dataset date: May 01, 2016-September 01, 2016
    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).
    300+ Downloads
    This dataset updates: Every month
  • Updated 2 September 2020 | Dataset date: January 01, 2015-February 01, 2016
    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).
    200+ Downloads
    This dataset updates: Every month