{"id":463,"date":"2023-10-20T10:36:22","date_gmt":"2023-10-20T10:36:22","guid":{"rendered":"https:\/\/cso-ye.org\/en\/?page_id=463"},"modified":"2024-02-12T08:45:52","modified_gmt":"2024-02-12T08:45:52","slug":"labor-force","status":"publish","type":"page","link":"https:\/\/cso-ye.org\/en\/labor-force\/","title":{"rendered":"Labor Force"},"content":{"rendered":"\n
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Labor Force<\/h3>\n\n\n\n

\u00a0<\/h3>\n<\/div><\/div>\n\n\n\n
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Latest Launches<\/strong><\/p>\n<\/div><\/div>\n<\/div><\/div><\/div>\n\n\n\n

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<\/span><\/span>
Background<\/strong><\/h6><\/div>
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The economic classification of the population is a basic and important requirement for the success of development plans and programs and the formulation of appropriate policies to make the most of society\u2019s human resources because of the data and information it provides about the size of the labor force owned by society and the trends in its growth and development ,monitoring ,following up on any change and change in its characteristics that occurs in it.<\/p>\n

Over time, the acceleration of economic growth and the improvement of the conditions of the population and their economic, social and health living conditions emerges, and the relationship between the population – 15 years and over – represented by males and females and its relationship to the labor force, which includes the number of employed and unemployed people, and the composition of the various labor forces in terms of their occupational distribution, according to the work situation and according to economic activity, is highlighted.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

<\/span><\/span>
Methodology<\/strong><\/h6><\/div>
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<\/p>\n\n\n\n

There are a number of indicators related to the labor force, which are:<\/p>\n

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  1. Employed people Percentage of the total population +15.<\/li>\n
  2. Employed people Percentage by gender and age groups.<\/li>\n
  3. Employees Percentage according to academic qualification.<\/li>\n
  4. Employees Percentage according to work status.<\/li>\n
  5. \u00a0Labor force by educational level and gender.<\/li>\n
  6. Total unemployment rate by gender.<\/li>\n
  7. Unemployment rate by educational level.<\/li>\n
  8. Unemployment rate by governorate.<\/li>\n
  9. Unemployment rate by age groups.<\/li>\n
  10. Monthly income Average in the main job (SAR).<\/li>\n
  11. Crude economic participation rate (labor force relative to the total population).<\/li>\n
  12. Revised economic participation rate (labor force attributed to population 15 years and over).<\/li>\n<\/ol>\n<\/div><\/div><\/div>\n\n\n\n
    <\/span><\/span>
    The most important Indicators<\/strong><\/h6><\/div>
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    <\/p>\n<\/div><\/div><\/div>\n\n\n\n

    <\/span><\/span>
    Bulletins<\/strong><\/h6><\/div>
    <\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n\n\n\n

    Information bank<\/strong><\/strong><\/p>\n\n\n\n

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    <\/path><\/path><\/svg><\/span>
    Statistical Tables<\/strong><\/h5><\/div>
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    Important comparisons:<\/strong><\/p>\n\n\n\n

    Population (15 years and older)<\/strong><\/p>\n\n\n\n

    1999<\/strong><\/a><\/td>8916188<\/strong><\/td><\/tr>
    2014-2013<\/strong><\/td>13378000<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Employment to population ratio<\/strong><\/p>\n\n\n\n

    1999<\/strong><\/a><\/td>20.9<\/strong><\/td><\/tr>
    2013<\/strong>\u2013<\/strong>2014<\/strong><\/strong><\/td>31.4<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Employers<\/p>\n\n\n\n

    1999<\/strong><\/td>3621679<\/strong><\/td><\/tr>
    2013<\/strong>\u2013<\/strong>2014<\/strong><\/strong><\/td>4197000<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    The unemployed<\/u><\/strong><\/p>\n\n\n\n

    1999<\/strong><\/td>469001<\/strong><\/td><\/tr>
    2014-2013<\/strong><\/td>653000<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Work’s strength<\/u><\/strong><\/p>\n\n\n\n

    1999<\/strong><\/a><\/td>4090680<\/strong><\/td><\/tr>
    2014-2013<\/strong><\/td>4850000<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Labor force participation rate<\/u><\/strong><\/p>\n\n\n\n

    1999<\/strong><\/a><\/td>45.9<\/strong><\/td><\/tr>
    2014-2013<\/strong><\/td>36.3<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Unemployment rate<\/u><\/strong><\/p>\n\n\n\n

    1999<\/strong><\/a><\/td>58.66<\/strong><\/td><\/tr>
    2014-2013<\/strong><\/td>13.5<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Average monthly earnings in main job (YER)<\/u><\/strong><\/p>\n\n\n\n

    1999<\/strong><\/td>\u2014\u2013<\/td><\/tr>
    2014-2013<\/strong><\/td>52,500<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n\n\n\n
    <\/path><\/path><\/svg><\/span>

    Meta data for Indicators<\/strong><\/h4><\/div>
    \n

    \u0623\u0631\u0642\u0627\u0645 \u0631\u0626\u064a\u0633\u064a\u0629 \u0645\u0646 \u0645\u0633\u062d \u0627\u0644\u0639\u0627\u0645\u0644\u0629 2013-2014:<\/strong><\/p>\n\n\n\n

    \u0627\u0644\u0628\u0637\u0627\u0644\u0629<\/strong><\/strong><\/p>\n\n\n\n

      \n
    • \u0645\u0639\u062f\u0644 \u0627\u0644\u0628\u0637\u0627\u0644\u0629: 13.5 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n\n\n\n
    • \u0645\u0639\u062f\u0644 \u0628\u0637\u0627\u0644\u0629 \u0627\u0644\u0645\u0631\u0623\u0629: 26.1 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n\n\n\n
    • \u0645\u0639\u062f\u0644 \u0628\u0637\u0627\u0644\u0629 \u0627\u0644\u0631\u062c\u0644: 12.3 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n<\/ul>\n\n\n\n

      \u0645\u0639\u062f\u0644 \u0628\u0637\u0627\u0644\u0629 \u0627\u0644\u0634\u0628\u0627\u0628: 24.5 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629 <\/p>\n\n\n\n

      \u0627\u0644\u0645\u0634\u0627\u0631\u0643\u0629 \u0641\u064a \u0642\u0648\u0629 \u0627\u0644\u0639\u0645\u0644<\/strong><\/strong><\/p>\n\n\n\n

        \n
      • \u0645\u0639\u062f\u0644 \u0627\u0644\u0645\u0634\u0627\u0631\u0643\u0629 \u0641\u064a \u0627\u0644\u0642\u0648\u0649 \u0627\u0644\u0639\u0627\u0645\u0644\u0629: 36.3 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n\n\n\n
      • \u0645\u0639\u062f\u0644 \u0645\u0634\u0627\u0631\u0643\u0629 \u0627\u0644\u0645\u0631\u0623\u0629: 6.0 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n\n\n\n
      • \u0645\u0639\u062f\u0644 \u0645\u0634\u0627\u0631\u0643\u0629 \u0627\u0644\u0631\u062c\u0644: 65.4 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n\n\n\n
      • \u0645\u0639\u062f\u0644 \u0645\u0634\u0627\u0631\u0643\u0629 \u0627\u0644\u0634\u0628\u0627\u0628: 25.8 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n<\/ul>\n\n\n\n

        \u0627\u0644\u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0644\u0644\u0642\u0648\u0649 \u0627\u0644\u0639\u0627\u0645\u0644\u0629<\/strong><\/strong><\/p>\n\n\n\n

          \n
        • \u0645\u0639\u0627\u0647\u062f \u0648\u062c\u0627\u0645\u0639\u0627\u062a: 7.9 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n\n\n\n
        • \u062a\u0639\u0644\u064a\u0645 \u062b\u0627\u0646\u0648\u064a: 23.0 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n\n\n\n
        • \u062a\u0639\u0644\u064a\u0645 \u0627\u0628\u062a\u062f\u0627\u0626\u064a: 68.6 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n<\/ul>\n\n\n\n

          \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062d\u0633\u0628 \u0627\u0644\u0642\u0637\u0627\u0639<\/strong><\/strong><\/p>\n\n\n\n

            \n
          • \u0627\u0644\u062e\u062f\u0645\u0627\u062a: 55.6 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n\n\n\n
          • \u0627\u0644\u062a\u062c\u0627\u0631\u0629: 22.7 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n\n\n\n
          • \u0627\u0644\u0642\u0637\u0627\u0639 \u0627\u0644\u0632\u0631\u0627\u0639\u064a: 29.2 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n\n\n\n
          • \u0627\u0644\u0635\u0646\u0627\u0639\u0629: 14.5 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n\n\n\n
          • \u0627\u0644\u0625\u062f\u0627\u0631\u0629 \u0627\u0644\u0639\u0627\u0645\u0629: 12.7 \u0641\u064a \u0627\u0644\u0645\u0627\u0626\u0629<\/li>\n<\/ul>\n\n\n\n

            \u0633\u0627\u0639\u0627\u062a \u0627\u0644\u0639\u0645\u0644<\/strong><\/strong><\/p>\n\n\n\n

              \n
            • \u0645\u062a\u0648\u0633\u0637 \u0633\u0627\u0639\u0627\u062a \u0627\u0644\u0639\u0645\u0644 \u0623\u0633\u0628\u0648\u0639\u064a\u0627\u064b: 44 \u0633\u0627\u0639\u0629<\/li>\n\n\n\n
            • \u0645\u062a\u0648\u0633\u0637 \u0633\u0627\u0639\u0627\u062a \u0627\u0644\u0639\u0645\u0644 \u0623\u0633\u0628\u0648\u0639\u064a\u0627\u064b \u0644\u0644\u0645\u0631\u0623\u0629: 34 \u0633\u0627\u0639\u0629<\/li>\n\n\n\n
            • \u0645\u062a\u0648\u0633\u0637 \u0633\u0627\u0639\u0627\u062a \u0627\u0644\u0639\u0645\u0644 \u0623\u0633\u0628\u0648\u0639\u064a\u0627\u064b \u0644\u0644\u0631\u062c\u0644: 45 \u0633\u0627\u0639\u0629<\/li>\n<\/ul>\n\n\n\n

              \u0627\u0644\u0623\u062c\u0648\u0631<\/strong><\/strong><\/p>\n\n\n\n

                \n
              • \u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0623\u062c\u0631 \u0627\u0644\u0634\u0647\u0631\u064a: 52.500 \u0631\u064a\u0627\u0644 \u064a\u0645\u0646\u064a (244 \u062f\u0648\u0644\u0627\u0631 \u0627\u0645\u0631\u064a\u0643\u064a)<\/li>\n\n\n\n
              • \u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0623\u062c\u0631 \u0627\u0644\u0634\u0647\u0631\u064a \u0644\u0644\u0645\u0631\u0623\u0629: 40.400 \u0631\u064a\u0627\u0644 \u064a\u0645\u0646\u064a (188 \u062f\u0648\u0644\u0627\u0631 \u0627\u0645\u0631\u064a\u0643\u064a)<\/li>\n\n\n\n
              • \u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0623\u062c\u0631 \u0627\u0644\u0634\u0647\u0631\u064a \u0644\u0644\u0631\u062c\u0644: 53.300 \u0631\u064a\u0627\u0644 \u064a\u0645\u0646\u064a (248 \u062f\u0648\u0644\u0627\u0631 \u0627\u0645\u0631\u064a\u0643\u064a)<\/li>\n\n\n\n
              • \u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u0623\u062c\u0631 \u0627\u0644\u0634\u0647\u0631\u064a \u0628\u0627\u0644\u0634\u0628\u0627\u0628: 34.500 \u0631\u064a\u0627\u0644 \u064a\u0645\u0646\u064a (161 \u062f\u0648\u0644\u0627\u0631 \u0627\u0645\u0631\u064a\u0643\u064a)  <\/li>\n<\/ul>\n\n\n\n

                \u0623\u0631\u0642\u0627\u0645 \u0623\u062e\u0631\u0649 <\/strong><\/strong><\/p>\n\n\n\n

                \u0646\u0633\u0628\u0629 \u0627\u0644\u0639\u0627\u0645\u0644\u064a\u0646 \u0641\u064a \u0627\u0644\u0642\u0637\u0627\u0639 \u063a\u064a\u0631 \u0627\u0644\u0645\u0646\u0638\u064e\u0651\u0645: 73.2 \u0641\u064a<\/p>\n\n\n\n

                \u0627\u0644\u0645\u0627\u0626\u0629<\/p>\n\n\n\n

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                • \u0627\u0644\u0633\u0643\u0627\u0646 \u0641\u064a \u0633\u0646 \u0627\u0644\u0639\u0645\u0644: 13.4 \u0645\u0644\u064a\u0648\u0646<\/li>\n\n\n\n
                • \u0627\u0644\u0639\u0627\u0645\u0644\u0648\u0646: 4.2 \u0645\u0644\u064a\u0648\u0646<\/li>\n\n\n\n
                • <\/li>\n<\/ul>\n\n\n\n