The information requested falls within the responsibility of the national statistician, who has been asked to reply.
Letter from Karen Dunnell, dated 24 October 2006:
As National Statistician, I have been asked to reply to your recent Parliamentary Question what the (a) average wage for (i) full-time male, (ii) full-time female, (iii) part time male and (iv) part time female employees and (b) average household income for working age households was for working age households was in (A) the London Borough of Haringey area and (B) across London in (1) cash and (2) constant price terms in each of the last 10 years. (96654).
Currently average earnings are estimated from the Annual Survey of Hours and Earnings (ASHE), and are provided for employees on adult rates of pay whose pay was unaffected by absence during the pay period. This is the standard definition used for ASHE. The ASHE does not collect data on the self employed and people who do unpaid work.
I have attached tables containing statistics on earnings from the ASHE for the years 1997-2005 for both the London Borough of Haringey and the Government Office Region of London. The second set of table shows these earnings statistics expressed in 2005 prices by uprating with the Retail Price Index (RPI).
Average household income for working age households by council area is not available. Household income statistics for all households in the UK, based on the Family Resources Survey, are produced by the Department of Work and Pensions. Additionally the Office for National Statistics has produced statistics for wards for 2001-02 only. These estimates are based on a statistical model and are experimental statistics—they have been developed in accordance with the principles set out in the National Statistics Code of Practice but are not accredited as National Statistics.
The ASHE, carried out in April of each year, is the most comprehensive source of earnings information in the United Kingdom. It is a one per cent sample of all employees who are members of pay-as-you-earn (PAYE) schemes, but because of its sampling frame, it has difficulty capturing data on people with very low pay. It is therefore likely to under-represent relatively low paid staff earning below the tax threshold.
Borough of Haringey Median Mean Full-time Part-time Full-time Part-time Male Female Male Female Male Female Male Female 2005 *496 *431 x **165 *571 467 **207 *180 2004b *442 *411 x x *521 *472 **168 *166 2004 *442 **422 x x *527 *478 **175 *168 2003 *452 **370 x **159 *539 *434 x *169 2002 *452 *345 x **136 482 *396 x *171 2001 *397 *379 x x 437 *412 x **143 2000 *405 *346 x x **527 378 x **155 1999 *390 *306 x **113 458 *353 x **148 1998 *403 *287 x x 451 314 x **113 1997 *381 **291 x x *446 *317 x **119
London Median Mean Full-time Part-time Full-time Part-time Male Female Male Female Male Female Male Female 2005 620 492 *138 162 790 567 220 209 2004b 594 475 133 150 749 543 240 201 2004 599 480 134 152 764 551 244 204 2003 576 461 123 145 744 528 *245 194 2002 551 443 113 132 723 517 *224 176 2001 531 422 96 124 685 486 *177 157 2000 507 394 *100 122 647 457 171 159 1999 480 380 *98 120 607 430 169 155 1998 469 365 *91 116 586 410 *154 149 1997 446 348 *93 115 556 391 158 142
Borough of Haringey Median Mean Full-time Part-time Full-time Part-time Male Female Male Female Male Female Male Female 2005 *496 *431 x **165 *571 467 **207 *180 2004b *455 **423 x x *537 *486 **173 *171 2004 *455 **435 x x *543 *492 **180 *173 2003 *479 **392 x **169 *571 *460 x *179 2002 *493 *376 x **148 525 *432 x *186 2001 *441 *421 x x 485 *457 x **159 2000 *458 *391 x x **596 427 x *175 1999 *452 *355 x **131 531 *409 x **172 1998 *476 *339 x x 532 371 x **133 1997 *469 **358 x x *549 *390 x **146
London Median Mean Full-time Part-time Full-time Part-time Male Female Male Female Male Female Male Female 2005 620 492 *138 162 790 567 220 209 2004b 612 489 137 155 771 559 247 207 2004 617 494 138 157 787 568 251 210 2003 611 489 130 154 789 560 *260 206 2002 601 483 123 144 788 564 *244 192 2001 589 468 107 138 760 539 *196 174 2000 573 445 *113 138 731 516 193 180 1999 557 441 *114 139 704 499 196 180 1998 553 431 *107 137 691 484 *182 176 1997 549 428 *114 141 684 481 194 175 a Employees on adult rates whose pay for the survey pay-period was not affected by absence. b In 2004 additional supplementary surveys were introduced to improve the coverage of the Annual Survey of Hours and Earnings. Figures are presented both excluding and including the additional surveys for comparison purposes. c Constant price terms have been uprated using the Retail Prices Index (PRI), re-based at April 2005. Guide to quality: The Coefficient of Variation (CV) indicates the quality of a figure, the smaller the CV value the higher the quality. The true value is likely to lie within +/- twice the CV—for example, for an average of 200 with a CV of 5 per cent., we would expect the population average to be within the range 180 to 220. Key: CV <= 5 per cent. * CV > 5 per cent. and <= 10 per cent. ** CV > 10 per cent. and <= 20 per cent. x CV > 20 per cent. The median replaces the mean as the headline statistic. The weighted mean is the sum of the weighted values divided by the sum of the weights. The median is the value below which 50 per cent. of employees fall. It is preferred over the mean for earnings data as it is influenced less by extreme values and because of the skewed distribution of earnings data.