3 datasets found
  1. S

    Somalia SO: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of...

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). Somalia SO: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male [Dataset]. https://www.ceicdata.com/en/somalia/labour-force/so-labour-force-participation-rate-modeled-ilo-estimate-ratio-of-female-to-male
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    Dataset updated
    Mar 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Somalia
    Description

    Somalia SO: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data was reported at 25.076 % in 2017. This records an increase from the previous number of 25.054 % for 2016. Somalia SO: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data is updated yearly, averaging 24.089 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 27.371 % in 1990 and a record low of 22.996 % in 2005. Somalia SO: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Somalia – Table SO.World Bank: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.; ; Derived using data from International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

  2. Somalia Flood and Drought Dashboard

    • data.amerigeoss.org
    csv, xlsx
    Updated Apr 15, 2025
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    UN Humanitarian Data Exchange (2025). Somalia Flood and Drought Dashboard [Dataset]. https://data.amerigeoss.org/dataset/somalia-drought-dashboard
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    csv(44943), csv(814989), xlsx(273005), csv(37888), csv(27193), csv, csv(504832), csv(40016), xlsx(795621)Available download formats
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    United Nationshttp://un.org/
    United Nations Office for the Coordination of Humanitarian Affairshttp://www.unocha.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Somalia
    Description

    This dataset contains the data used by the Humanitarian Country Team in Somalia to monitor the evolution of the drought and flood situation in Somalia. The data covers the following topics:

    • Internal displacement by cause (drought related, conflict/insecurity, other cause)
    • River levels in the Shabelle and Juba rivers
    • Water prices by Region
    • Cumulative annual rainfall
    • Disease burden (acute watery diarrhea (AWD)/cholera, bloody diarrhea and measles)
    • Monthly response monitoring by region for the following indicators:
      • CCCM: Number of people benefiting from site improvement projects
      • EDUCATION: Number of children with access to safe drinking water
      • FOOD SECURITY: Number of people reached through activities geared towards improving access to food and safety nets
      • HEALTH: Number of medical consultations
      • NUTRITION: Number of acute malnutrition admissions
      • PROTECTION: Number of girls and boys, women and men participating in community-based psycho-social activities
      • SHELTER: Number of people in need of emergency assistance receiving appropriate NFIs through in-kind distribution, vouchers or cash
      • WASH: Number of people reached with access to sustainable safe water services

    The sources for the data are as follows: IDP data (PRMN/UNHCR); Rainfall and Rivers (SWALIM); Diseases (Health Cluster/WHO); Monthly Response (Humanitarian Clusters), Water Prices (FAO)

  3. Somalia Drought Dashboard

    • cloud.csiss.gmu.edu
    xls, xlsx
    Updated Jul 23, 2019
    + more versions
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    UN Humanitarian Data Exchange (2019). Somalia Drought Dashboard [Dataset]. https://cloud.csiss.gmu.edu/uddi/en/dataset/somalia-drought-dashboard
    Explore at:
    xlsx(504832), xls(37888), xlsx(44943), xlsx(40016), xlsx(814989), xlsx(27193)Available download formats
    Dataset updated
    Jul 23, 2019
    Dataset provided by
    United Nationshttp://un.org/
    United Nations Office for the Coordination of Humanitarian Affairshttp://www.unocha.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Somalia
    Description

    This dataset contains the data used by the Humanitarian Country Team in Somalia to monitor the evolution of the drought situation in Somalia. The data covers the following topics:

    • Internal displacement by cause (drought related, conflict/insecurity, other cause)
    • River levels in the Shabelle and Juba rivers
    • Water prices by Region
    • Cumulative annual rainfall
    • Disease burden (acute watery diarrhea (AWD)/cholera, bloody diarrhea and measles)
    • Monthly response monitoring by region for the following indicators:
      • CCCM: Number of people benefiting from site improvement projects
      • EDUCATION: Number of children with access to safe drinking water
      • FOOD SECURITY: Number of people reached through activities geared towards improving access to food and safety nets
      • HEALTH: Number of medical consultations
      • NUTRITION: Number of acute malnutrition admissions
      • PROTECTION: Number of girls and boys, women and men participating in community-based psycho-social activities
      • SHELTER: Number of people in need of emergency assistance receiving appropriate NFIs through in-kind distribution, vouchers or cash
      • WASH: Number of people reached with access to sustainable safe water services

    The sources for the data are as follows: IDP data (PRMN/UNHCR); Rainfall and Rivers (SWALIM); Diseases (Health Cluster/WHO); Monthly Response (Humanitarian Clusters), Water Prices (FAO)

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Share
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Email
Click to copy link
Link copied
Close
Cite
CEICdata.com (2018). Somalia SO: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male [Dataset]. https://www.ceicdata.com/en/somalia/labour-force/so-labour-force-participation-rate-modeled-ilo-estimate-ratio-of-female-to-male

Somalia SO: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male

Explore at:
Dataset updated
Mar 15, 2018
Dataset provided by
CEICdata.com
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 1, 2006 - Dec 1, 2017
Area covered
Somalia
Description

Somalia SO: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data was reported at 25.076 % in 2017. This records an increase from the previous number of 25.054 % for 2016. Somalia SO: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data is updated yearly, averaging 24.089 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 27.371 % in 1990 and a record low of 22.996 % in 2005. Somalia SO: Labour Force Participation Rate: Modeled ILO Estimate: Ratio of Female to Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Somalia – Table SO.World Bank: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.; ; Derived using data from International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

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