§ Mr. Austin MitchellTo ask the Secretary of State for Employment what was the percentage change between April 1979 to April 1994 in real earnings of blue collar workers in manufacturing relative to white collar workers in the private sector together with his estimate of the corresponding increase in output per head.
§ Mr. OppenheimInformation from the new earnings survey at April, shows that the earnings of full-time manual employees in manufacturing increased by 17.6 per cent. between 1979 and 1994 when adjusted for the increase in the retail prices index at April.
The corresponding increase for private sector full-time non-manual employees was 56.3 per cent.
The information requested for output per head is not available.
§ Mr. Geoffrey RobinsonTo ask the Secretary of State for Employment if he will give the proportions of(a) part-time female manual workers, (b) part-time female non-manual workers and (c) all female part-time workers with earnings excluding overtime less than £5.53 per hour in (i) Great Britain, (ii) west midlands region, (iii) West Midlands metropolitan county, (iv) Hereford and Worcester, (v) Shropshire, (vi) Staffordshire and (vii) Warwickshire for 1994.
§ Mr. OppenheimInformation available from the new earnings survey, showing the proportions of employees with earnings below the amount requested at April 1994, is given in the following tables:
Hourly earnings excluding overtime of part-time women on adult rates—pay unaffected by absence Proportion earning below £5.53: April 1994 Per cent. Manual women West Midlands Region 92.5 West Midlands MC 90.5 Hereford and Worcester 97.7 Shropshire 90.7 Staffordshire 97.9 Warwickshire 1— Great Britain 90.7 Non-manual women West Midlands Region 66.6 West Midlands MC 62.0 Hereford and Worcester 71.9 Shropshire 1— Staffordshire 69.5 Warwickshire 70.5 Great Britain 64.6 All women West Midlands Region 76.4 West Midlands MC 73.5 Hereford and Worcester 80.3 Shropshire 78.0 Staffordshire 81.7 Warwickshire 74.3 Great Britain 73.6 Source: New earnings survey. Note: 1 Denotes sample too small and/or standard error too large for reliable estimate.