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Scale of the challenge

Scale of the challenge. Dave Simmonds Centre for Economic & Social Inclusion. Population has grown – but BAME more so. BME and White employment rates. Employment rate gaps falling. Indicators. Differing patterns for employment rate gaps. Employment rate gaps exist for all BAME groups

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Scale of the challenge

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  1. Scale of the challenge Dave Simmonds Centre for Economic & Social Inclusion

  2. Population has grown – but BAME more so

  3. BME and White employment rates

  4. Employment rate gaps falling

  5. Indicators

  6. Differing patterns for employment rate gaps • Employment rate gaps exist for all BAME groups • Some more than others • Large differences between men and women for some groups

  7. Employment rate gaps with white people

  8. Indicators

  9. BAME employment profile • More professionals, but fewer other high paid groups • More at low end of labour market • More in services, fewer in manufacturing, construction

  10. Occupation gaps

  11. Sector gaps

  12. Youth employment • BAME youth educational participation very high – 63% compared with white 44% • But white youth employment very much higher – 53% compared with 31% BAME • NEET are main group of concern – 17% BAME and 18% white

  13. Education and employment – aged 16-24

  14. Indicators

  15. Unemployment • Unemployment rates higher for BAME • Gap for men has fallen • Gap for women has risen

  16. Unemployment rates

  17. BAME Unemployment rate gaps

  18. Indicators

  19. Local variations • BAME employment rates vary much more than white employment rates • The employment rate gap for regions varies from 7 percentage points in the East to 19 points in Yorkshire and the Humber

  20. Regional employment rate gaps

  21. Local employment rates

  22. Indicators • Regional and local employment rate gaps can be measured • But estimates are not robust • So changes may be ‘just survey’ rather than actual

  23. The Work Programme • 150,000 BAME people had been referred to the Work Programme up to July 2012 • 17% of all referrals • Job outcome performance worse than average – but very small difference

  24. Work Programme BAME referrals proportion

  25. Work programme performance

  26. Work Programme performance in London

  27. Indicators

  28. Conclusions • How to increase employment: • Women’s employment rate • Black Caribbean men • Regions and local areas – Y&H, Mids and NW • Under-represented jobs sectors • Making education pay and progression • Improving Work Programme • Using indicators to drive local and national policy

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