Building More Resilient and Inclusive Labour Markets

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Transcription:

Building More Resilient and Inclusive Labour Markets How does your country compare? Labour and Employment Ministerial Meeting 1 January 16

Unemployment rate, 1 Q3 As a percentage of the civilian labour force 2 2 21.8 24.7 2.4 1 1 1 3.4 3.6 3.6 4.1 4.1 4.3 4. 4.6 4.9 4.9..2.2.3.6.7.7.9 6. 6.1 6.2 6.2 6.2 6.2 6.3 6.6 6.6 6.7 6.8 7. 7.2 7.4 7. 8.1 8.7 9. 9. 9.1 9.1 9.2 9.4 1. 1.4 1. 11.4 11.7 12.3 India China Kazakhstan Russian Fed. Saudi Arabia Indonesia Peru Argentina Brazil Morocco Lithuania Colombia Costa Rica Latvia South Africa 1 Note: The data for countries refer to harmonised unemployment rates. is a weighted average. Source: database on Short-Term Labour Market Statistics (https://stats.oecd.org/index.aspx?queryid=323) and estimates based on national labour force surveys. 1

Long-term unemployment, 1 Q3 Persons unemployed for one year or more as a percentage of the total unemployed 8 7 6 1. 1.2 1.8 11. 12.8 1. 16. 16.. 21. 22.2 22.2 23.3 23.7 2.2 26.7 27.9 28.1 28.2 28.2 28.9 32.7 3.6 36.1 36.4 37.7 42.9 43.8 44.7 44.8 46.6 47.4 48. 1. 1..6.7 7.4 9.1 64. 6. 67. 73.7 Costa Rica Kazakhstan Brazil Russian Fed. Argentina Lithuania Latvia Morocco South Africa 8 7 6 1 Note: is a weighted average excluding. Source: employment database (www.oecd.org/employment/database). 2

Employment rate, 1 Q3 Total employment as a percentage of the population (persons aged 1 to 64) 9 9 8 7 6 84.8 79.7 7. 7.1 74.8 74.1 74. 73.7 73.7 73.4 73.4 73.2 72.7 72. 72.2 71.1 7.3 7. 68.7 68.6 68.6 68.6 68. 68. 67. 67.2 66.2 6.8 6.8 6.6 64.3 64. 63.7 63. 63. 63. 62.8 62.6 62. 61.6 61. 6.6 8.1 6. 3.3 2.1 1.1.3 China Kazakhstan Russian Fed. Latvia Peru Lithuania Colombia Indonesia Brazil Argentina Costa Rica India Saudi Arabia South Africa Morocco 43.8 43.8 8 7 6 Note: is a weighted average. Source: database on Short-Term Labour Market Statistics (https://stats.oecd.org/index.aspx?queryid=323) and estimates based on national labour force surveys. 3

Employment rate of low-skilled, 1 Q3 As a percentage of the low-skilled population aged 2 to 64 1 Low-skilled High-skilled 1 9 9 8 8 7 8.6 7 6 67.8 64.8 63.8 63.6 63.4 62.1 6. 6.3 9.8 9.6 7.3 7.1..2 4.4 3.4 2.6 2.2 1. 49.8 49.8 49.4 49.1 48.4 46.8 42.2 42.1 3.3 6 Note: is the weighted average of 28 countries (excluding,,,, and ). Low skill corresponds to less than upper secondary educational attainment. High skill corresponds to tertiary level educational attainment. Source: estimates based on national labour force surveys. 4

Employment rate of prime-age women, 1 Q3 As a percentage of the female population aged 2 to 4 1 9 8 7 6 Women (2-4) Prime-age men (2-4) 8.8 83.3 83.2 82.3 81.6 81.4 8. 79.8 79.3 78.9 78.7 78.4 78.1 77.6 77.2 77. 76.8 76.6 76. 7.2 74.7 74.7 74.6 74.6 74.6 74.4 73.9 73. 72. 71. 7.7 7.2 68.1 67.4 66.9 63.9 63.8 63.4 62.4 6.1 8.2 8.1.8 2.9.9 3.6 33. Kazakhstan Lithuania Latvia China Brazil Peru Colombia Argentina Indonesia Costa Rica South Africa India Saudi Arabia 23. 1 9 8 7 6 Note: is a weighted average. Source: database on Short-Term Labour Market Statistics (https://stats.oecd.org/index.aspx?queryid=323) and estimates based on national labour force surveys.

Employment rate of older people, 1 Q3 As a percentage of the population aged to 64 1 9 8 7 6 86. Older people Prime-age people (2-4) 74. 74.4 72.3 72. 7.7 7.4 7.4 67.1 66.3 6.9 64.4 64.2 62.4 62.1 62.1 61.8 61.8 61.4 61.2 6.9 6.6 9.8 9.6 9.1 8.9 8.2.8.6.3 4.1 2..2 48.6 48.4 47.2 47. 46. 46. 46. 44.6 44.6 39.8 36.7 36.6 34.6 34.4 31. Peru Indonesia Colombia Lithuania Argentina Latvia China Kazakhstan Costa Rica India Saudi Arabia South Africa Brazil 1 9 8 7 6 Note: is a weighted average. Source: database on Short-Term Labour Market Statistics (https://stats.oecd.org/index.aspx?queryid=323) and estimates based on national labour force surveys. 6

Migrant employment rate, 1 Q2 As a percentage of foreign born persons aged 1 to 64 9 8 7 Foreign born Native born 9 8 7 6 84.2 77. 74.2 73. 72. 72.3 71.1 7.9 7.1 7.1 69.3 69.3 68.6 68.4 68.3 6.8 64.9 64.7 63.9 62.7 62.1 62.1 61.9 6. 9. 8.9.8.6.3 3.8 3.4.8 44.9 6 Note: is an unweighted average. Source: database on Migration Statistics. 7

NEET rates of youth, 14 Young people neither in education or training nor in employment, as a percentage of all young people aged 1 to 29 3 3 2 1 1 6. 7.1 7.3 7.3 7. 7.6 7.8 8.7 9.3 9.7 11.2 11.8 12.1 12.6 12.9 12.9 13. 13.4 13.4 13.8 13.8 13.8 14.1 14.2 14.6 1. 1.2 1. 16.4 16. 18. 18.1 18.2 18.8 19.4 19.9..7 22.4 23.8 24. 26.2 26.7 28.4.8 China Lithuania Russian Fed. Latvia Costa Rica Argentina Brazil Indonesia Saudi Arabia India South Africa 34. 2 1 1 Note: is a weighted average. Source: Employment Outlook 1, Chapter 1 (www.oecd.org/els/oecd-employment-outlook-19991266.htm) and estimates based on national labour force surveys. 8

Earnings dispersion, 13 9 th to 1 th earnings percentile ratio 6 6 4 3 2 1 2.3 2.3 2.4 2. 2.6 2.6 2.7 2.9 2.9 3. 3. 3. 3. 3.1 3.2 3.3 3.3 3.4 3.4 3. 3. 3.6 3.7 3.7 3.7 3.9 3.9 4.1 4.1 4.4 4.7 4.8 4.8 4.9. 4 3 2 1 Note: The earnings dispersion is measured by the earnings of full-time employees at the 9th percentile of the earnings distribution relative to those at the 1th percentile. is an unweighted average. The data refer to 13 or the most recent year available. Source: Earnings Distribution Database (www.oecd.org/employment/onlineoecdemploymentdatabase.htm). 9

Gender wage gap, 13 Men versus women 3 2 1 1.6.9 6. 6.8 7. 8.6 8.7 1.6 11.1 11.3 11.6 12.8 13.4 13.7 14.1 14. 1.1 1.3 1.4 16.1 16. 16.7 16.7 17. 17.9 18. 18.1 19.2.1.2. 21.8 26.6 26.6 36.6 3 2 1 1 Note: The gender wage gap is measured for full-time workers as the difference in earnings between men and women as a percentage of the earnings of men. is an unweighted average. Source: Employment Outlook 1, Statistical Annex, Table P (www.oecd.org/els/emp/employment-outlook-statistical-annex.htm). 1

Poor quality workplaces: Workers experiencing job strain As a percentage of all workers 8 7 6 8 7 6 1 7. 7.2 47.1 43.9 43.7.9. 39.6 39. 37.3 37. 37. 3.7 3.6 3.1.9.6 29.8 26.6 2.6 23.9 22.6 17. 16. 13.3 1 Lithuania Average Note: Job strain is defined to occur when workers face more job demands (such as time pressure or health risks) than the number of resources they have at their disposal (such as work autonomy or good workplace relationships) to accomplish their job duties. is the unweighted average of countries shown. Source: estimates based on Eurofound (1), "th European Working Conditions Survey", EWCS. 11

Adults with poor literacy skills As a percentage of all adults (aged 16 to 6) 2 27.7 27. 2 1 1 21.6 18.8 17. 17. 17.4 16.4 16.4 1.7 1. 1.3 14. 13.3 13. 12.9 12.6 12.3 11.8 11.7 11.6 1.6 4.9 1 1 England/N. (UK) Average Flanders () Note: Poor literacy corresponds to a score on the literacy scale (running up to Level ) at Level 1 or below. Average is the unweighted average of countries shown. Source: PIAAC Survey of Adult Skills (12). 12

Notes Notes The statistical data for are supplied by and under the responsibility of the relevant i authorities. The use of such data by the is without prejudice to the status of the Golan Heights, East Jerusalem and i settlements in the West Bank under the terms of international law. Chart on Unemployment rate Data refer to Q1 1 for Kazakhstan; Q2 1 for Argentina (selected urban areas), Morocco and Saudi Arabia; 14 for China (registered unemployment rate in urban areas); and 11-12 for India. Chart on Long-term unemployment Data refer to Q2 1 for Argentina (selected urban areas) and Morocco; 14 for Russia; and 12 for Kazakhstan. Chart on Employment rate Data refer to Q2 1 for Argentina, Morocco (persons aged 1 or more) and Saudi Arabia; 13 for Kazakhstan; 11-12 for India; and 1 for China. Chart on Employment rate of prime-age women Data refer to Q2 1 for Argentina and Saudi Arabia; 13 for Kazakhstan; 11-12 for India; and 1 for China. Chart on Employment rate of older people Data refer Q2 1 for Argentina, and Saudi Arabia; 13 for Kazakhstan; 11-12 for India; and 1 for China. Chart on Migrant employment rate Data refer to Q4 14 for, and ; to 13 for ; and to Q4 11. Chart on NEET rates of youth Data refer to 13 for Russia; 11-12 for India; and 1 for China.

Image credits: Leon del Monte www.shutterstock.com/daimond Shutter For more information: www.oecd.org/employment/ministerial