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 IndicatorLatest level Change on last year Rating BAME employment rate 60.7+ 1.1 Employment rate gap with white - 12.3- 0.1  Male employment rate gap - 7.4- 1.1 Female employment rate gap - 17.1+ 0.7 

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 IndicatorLatest level Change on last year Rating Black (Caribbean/African) employment rate gap 10.6- 3.4 Indian employment rate gap 3.2+ 0.7  Pakistani employment rate gap 21.8- 1.9 Bangladeshi employment rate gap 23.8+ 2.9  Mixed employment rate gap 10.8-3.4

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 IndicatorLatest level Change on last year Rating BAME youth education participation rate 63.1+ 0.7 Youth education participation gap +18.8+0.3 BAME youth employment rate 31.3+1.0 BAME NEET rate16.8- 0.8 NEET rate gap with white - 0.8-1.8

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 IndicatorLatest level Change on last year Rating BAME unemployment rate 13.2- 1.1 Unemployment rate gap with white + 5.8- 0.7 Male unemployment rate gap + 4.0- 1.1 Female unemployment rate gap + 8.1+ 0.1 

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 IndicatorLatest level Change on last year Rating BAME Work Programme job outcome performance 3.5?  BAME Work Programme performance gap with white -0.1? 

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