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  • 200+ Downloads
    Updated 12 April 2016 | Dataset date: April 12, 2016-April 12, 2016
    This dataset updates: Never
    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)
  • 400+ Downloads
    Updated 4 January 2016 | Dataset date: May 31, 2014-May 31, 2014
    This dataset updates: Never
    VASyR is the Vulnerability Assessment of Syrian Refugees in Lebanon aimed at gaining knowledge of their living conditions and informing decision-making on programmatic activities. It is a joint UNHCR, UNICEF and WFP multi-sectorial household survey conducted with the registered and awaiting-registration Syrian refugee population in Lebanon.
  • 1200+ Downloads
    Updated 31 December 2015 | Dataset date: August 03, 2015-August 03, 2015
    This dataset updates: As needed
    The datsets shows the households income based on their savings and monthly expenditure on various items. Households were asked how much they spend on certain items such as communication, food, health, education and water
  • 200+ Downloads
    Updated 31 December 2015 | Dataset date: August 03, 2015-August 03, 2015
    This dataset updates: Never
    This dataset shows the land owned under irrigation. A majority, (96.3%) of the 789 households that reported owning land of the residents in Bomet do not have land under irrigation with only a few (2.8%) having between 0-2 acres of land under irrigation
  • 200+ Downloads
    Updated 25 November 2015 | Dataset date: March 19, 2015-March 24, 2015
    This dataset updates: Never
    The market monitoring system was developed by the Cash-Based Responses Technical Working Group and REACH Turkey, after the CBR – TWG identified that monitoring markets on a regular basis in Syria was key to understand how markets function and cope with the challenges brought by the conflict, as well as with rough climate conditions. The market monitoring system also aims at informing program design to utilise existing markets, notably through cash-based responses and food assistance, to promote beneficiary empowerment and cost efficiency. Field staff will monitor prices and stock levels of basic commodities in markets in northern Syria on a monthly basis to inform and guide cash and voucher programs, as well as food assistance, for populations relying on the assessed markets. Resources March 2015 Credit The Market Assessment was carried out by partner organizations of the CBR - TWG and REACH, following an initiative launched by the Cash-Based Responses - Technical Working Group. This project is being funded by OFDA.
  • 200+ Downloads
    Updated 25 November 2015 | Dataset date: April 20, 2015-April 27, 2015
    This dataset updates: Never
    The market monitoring system was developed by the Cash-Based Responses Technical Working Group and REACH Turkey, after the CBR – TWG identified that monitoring markets on a regular basis in Syria was key to understand how markets function and cope with the challenges brought by the conflict, as well as with rough climate conditions. The market monitoring system also aims at informing program design to utilise existing markets, notably through cash-based responses and food assistance, to promote beneficiary empowerment and cost efficiency. Field staff will monitor prices and stock levels of basic commodities in markets in northern Syria on a monthly basis to inform and guide cash and voucher programs, as well as food assistance, for populations relying on the assessed markets. Resources April 2015 Credit The Market Assessment was carried out by partner organizations of the CBR - TWG and REACH, following an initiative launched by the Cash-Based Responses - Technical Working Group. This project is being funded by OFDA.
  • 200+ Downloads
    Updated 25 November 2015 | Dataset date: June 11, 2015-June 19, 2015
    This dataset updates: Never
    The market monitoring system was developed by the Cash-Based Responses Technical Working Group and REACH Turkey, after the CBR – TWG identified that monitoring markets on a regular basis in Syria was key to understand how markets function and cope with the challenges brought by the conflict, as well as with rough climate conditions. The market monitoring system also aims at informing program design to utilise existing markets, notably through cash-based responses and food assistance, to promote beneficiary empowerment and cost efficiency. Field staff will monitor prices and stock levels of basic commodities in markets in northern Syria on a monthly basis to inform and guide cash and voucher programs, as well as food assistance, for populations relying on the assessed markets. Resources June 2015 Credit The Market Assessment was carried out by partner organizations of the CBR - TWG and REACH, following an initiative launched by the Cash-Based Responses - Technical Working Group. This project is being funded by OFDA.
  • 200+ Downloads
    Updated 25 November 2015 | Dataset date: July 20, 2015-July 26, 2015
    This dataset updates: Never
    The market monitoring system was developed by the Cash-Based Responses Technical Working Group and REACH Turkey, after the CBR – TWG identified that monitoring markets on a regular basis in Syria was key to understand how markets function and cope with the challenges brought by the conflict, as well as with rough climate conditions. The market monitoring system also aims at informing program design to utilise existing markets, notably through cash-based responses and food assistance, to promote beneficiary empowerment and cost efficiency. Field staff will monitor prices and stock levels of basic commodities in markets in northern Syria on a monthly basis to inform and guide cash and voucher programs, as well as food assistance, for populations relying on the assessed markets. Resources July 2015 Credit The Market Assessment was carried out by partner organizations of the CBR - TWG and REACH, following an initiative launched by the Cash-Based Responses - Technical Working Group. This project is being funded by OFDA.
  • 400+ Downloads
    Updated 25 November 2015 | Dataset date: September 14, 2015-September 20, 2015
    This dataset updates: Never
    The market monitoring system was developed by the Cash-Based Responses Technical Working Group and REACH Turkey, after the CBR – TWG identified that monitoring markets on a regular basis in Syria was key to understand how markets function and cope with the challenges brought by the conflict, as well as with rough climate conditions. The market monitoring system also aims at informing program design to utilise existing markets, notably through cash-based responses and food assistance, to promote beneficiary empowerment and cost efficiency. Field staff will monitor prices and stock levels of basic commodities in markets in northern Syria on a monthly basis to inform and guide cash and voucher programs, as well as food assistance, for populations relying on the assessed markets. Credit The Market Assessment was carried out by partner organizations of the CBR - TWG and REACH, following an initiative launched by the Cash-Based Responses - Technical Working Group. This project is being funded by OFDA.
  • 300+ Downloads
    Updated 25 November 2015 | Dataset date: September 01, 2015-September 01, 2015
    This dataset updates: Never
    The market monitoring system was developed by the Cash-Based Responses Technical Working Group and REACH Turkey, after the CBR – TWG identified that monitoring markets on a regular basis in Syria was key to understand how markets function and cope with the challenges brought by the conflict, as well as with rough climate conditions. The market monitoring system also aims at informing program design to utilise existing markets, notably through cash-based responses and food assistance, to promote beneficiary empowerment and cost efficiency. Field staff will monitor prices and stock levels of basic commodities in markets in northern Syria on a monthly basis to inform and guide cash and voucher programs, as well as food assistance, for populations relying on the assessed markets. Resources August 2015 Credit The Market Assessment was carried out by partner organizations of the CBR - TWG and REACH, following an initiative launched by the Cash-Based Responses - Technical Working Group. This project is being funded by OFDA.
  • 400+ Downloads
    Updated 24 November 2015 | Dataset date: June 09, 2011-June 09, 2015
    This dataset updates: Never
    This dataset includes the Refugee, IDPs, People in need by Sector, Humanitarian Funding, inform indexes and humanitarian priorites data for countries in the wider horn of Africa Region from 2011 to date
  • 1000+ Downloads
    Updated 24 November 2015 | Dataset date: May 14, 2015-May 14, 2015
    This dataset updates: Every month
    The Income Activities dataset includes data on income generation at the household level. Sources of income listed include labor, agriculture, asset sales, and remittances, among others. It is available for 32 countries.
  • 1300+ Downloads
    Updated 24 November 2015 | Dataset date: May 14, 2015-May 14, 2015
    This dataset updates: Never
    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.
  • 1700+ Downloads
    Updated 24 November 2015 | Dataset date: May 13, 2015-May 13, 2015
    This dataset updates: Every month
    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.
  • 200+ Downloads
    Updated 24 November 2015 | Dataset date: March 01, 2005-August 31, 2015
    This dataset updates: Every three months
    The data represents the IPC (Integrated Food Security Phase Classification) analysis as of March 2015 for Mali and its related projection for June - August 2015.
  • 20+ Downloads
    Updated 15 October 2015 | Dataset date: July 01, 2015-July 01, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on August 19, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: SA201304_ML1 Most likely food security outcome for July-September 2015 SA201304_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)
  • 10+ Downloads
    Updated 15 October 2015 | Dataset date: June 01, 2015-June 01, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on June 01, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for April-June 2015 southernafrica201304_ML2 Most likely food security outcome for July-September 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)
  • 10+ Downloads
    Updated 15 October 2015 | Dataset date: February 10, 2015-February 10, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on February 10, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for January-March 2015 southernafrica201304_ML2 Most likely food security outcome for April-June 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).
  • Updated 15 October 2015 | Dataset date: October 01, 2014-October 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on November 13, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for October-December 2014 southernafrica201304_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).
  • 10+ Downloads
    Updated 15 October 2015 | Dataset date: July 01, 2014-July 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern 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: southernafrica201307_ML1 Most likely food security outcome for July-September 2014 southernafrica201407_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).
  • 10+ Downloads
    Updated 15 October 2015 | Dataset date: April 01, 2014-April 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern 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: southernafrica201304_ML1 Most likely food security outcome for April-June 2014 southernafrica201304_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).
  • 10+ Downloads
    Updated 15 October 2015 | Dataset date: January 01, 2014-January 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on January 19, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201401_ML1 Most likely food security outcome for January-March 2014 southernafrica201401_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)
  • 30+ Downloads
    Updated 15 October 2015 | Dataset date: October 01, 2015-October 01, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on February 05, 2016. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: SA201304_ML1 Most likely food security outcome for October-December 2015 SA201304_ML2 Most likely food security outcome for January-March 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).
  • Updated 15 October 2015 | Dataset date: July 01, 2013-July 01, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern 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: southernafrica201307_ML1 Most likely food security outcome for July-September 2013 southernafrica201307_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)
  • 20+ Downloads
    Updated 15 October 2015 | Dataset date: June 01, 2013-June 01, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on June 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for April-June 2013 southernafrica201304_ML2 Most likely food security outcome for July-September 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)