Average Earnings

Duchy of Lancaster written question – answered on 12th January 2009.

Alert me about debates like this

Photo of David Willetts David Willetts Shadow Minister (Education)

To ask the Chancellor of the Duchy of Lancaster what the mean gross weekly full-time earnings were for (a) male employees, (b) female employees and (c) all employees according to the Annual Survey of Hours and Earnings for people aged (i) under 18, (ii) 18 to 20, (iii) 21 to 24, (iv) 25 to 29, (v) 30 to 39, (vi) 40 to 49, (vii) 50 to 59, (viii) 60 to 64 and (ix) 65 and over in each year between 1997 and 2007.

Photo of Kevin Brennan Kevin Brennan Parliamentary Secretary (Cabinet Office) (Third Sector)

The information requested falls within the responsibility of the UK Statistics Authority. I have asked the authority to reply.

Letter from Karen Dunnell, dated December 2008:

As National Statistician, I have been asked to reply to your recent Parliamentary Question asking what the mean gross weekly full-time earnings were for (a) male employees, (b) female employees and (c) all employees according to the Annual Survey of Hours and Earnings for people aged (i) under 18, (ii) 18 to 20, (iii) 21 to 24, (iv) 25 to 29, (v) 30 to 39, (vi) 40 to 49, (vii) 50 to 59, (viii) 60 to 64 and (ix) 65 and over in each year between 1997 and 2007. (243711)

Average levels of earnings are estimated from the Annual Survey of Hours and Earnings (ASHE), and are provided for all employees on adult rates of pay whose pay for the survey period was not affected by absence.

I attach a table showing the mean gross weekly earnings for the specified age groupings for all years since 1997.

Mean weekly pay—gross (£) for employee jobs( a) : United Kingdom, 1997 to 2008
Age under 18 Age 18-20 Age 21-24 Age 25-29 Age 30-39 Age 40-49 Age 50-59 Age 60-64 Age 65 and over
Full-time
1997 172 193 253 322 402 421 392 352 *331
1998 163 203 269 337 422 441 418 357 339
1999 173 210 284 352 436 455 431 377 *374
2000 192 217 287 370 454 476 444 390 386
2001 196 225 303 398 484 499 467 400 *406
2002 213 238 311 419 508 524 488 417 *419
2003 198 240 314 428 522 545 501 428 *436
2004(b) 216 249 324 442 541 567 524 443 428
2004(c) 218 246 320 433 531 560 519 446 417
2005 209 253 327 444 556 583 544 473 *456
2006(d) 209 262 334 452 576 611 569 509 *507
2006(e) 210 262 333 450 574 608 567 508 *506
2007 216 273 348 464 591 625 582 521 *476
2008 221 282 359 482 611 653 613 541 *507
Full-time Male
1997 *185 214 278 344 432 475 446 377 *357
1998 179 224 295 361 455 498 478 382 *364
1999 179 227 312 376 470 512 490 401 *422
2000 *204 235 310 396 489 534 504 415 *422
2001 *201 240 325 425 521 560 529 423 *440
2002 222 256 332 447 545 588 552 442 *478
2003 199 254 334 456 563 612 563 454 *474
2004(b) *229 262 342 467 581 632 587 465 *459
2004(c) *225 260 336 458 569 624 581 469 *450
2005 217 264 340 468 596 651 607 497 *500
2006(d) 203 277 348 475 616 687 635 537 *559
2006(e) 204 276 347 473 613 683 634 536 *557
2007 217 288 366 483 630 699 653 550 *515
2008 219 295 376 500 652 734 685 571 *551
Full-time Female
1997 *160 172 228 293 342 325 297 255 *251
1998 144 181 241 306 357 337 311 260 *260
1999 165 193 254 322 371 355 326 286 *255
2000 *182 197 262 334 386 370 339 292 *284
2001 191 207 279 362 413 389 358 313 *289
2002 *202 218 288 383 436 410 377 330 259
2003 195 223 292 392 448 427 396 342 *315
2004(b) 197 233 305 410 468 453 420 369 *332
2004(c) 209 230 303 403 463 448 418 369 *313
2005 200 239 313 417 486 469 446 399 *347
2006(d) 218 242 319 426 509 488 465 425 369
2006(e) 220 243 318 424 506 484 461 421 368
2007 *215 253 327 439 521 498 473 436 377
2008 *226 266 338 460 540 519 504 453 398
(a) Employees on adult rates whose pay for the survey pay-period was not affected by absence.

(b) 2004 results excluding supplementary survey for comparison with 2003.

(c) 2004 results including supplementary surveys designed to improve coverage of the survey (for more information see National Statistics website www.statistics.gov.uk).

(d) 2006 results with methodology consistent with 2005.

(e) 2006 results with methodology consistent with 2007.

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%

* CV> 5% and <= 10%

Source:

Annual Survey of Hours and Earnings, Office for National Statistics. 1997-2008

Does this answer the above question?

Yes0 people think so

No0 people think not

Would you like to ask a question like this yourself? Use our Freedom of Information site.