For release 10:00 a.m. (EDT) Friday, October 24, 2014 USDL-14-1966 Technical information: (202) 691-6378 • [email protected] • www.bls.gov/cps
Media contact:
(202) 691-5902 • [email protected]
USUAL WEEKLY EARNINGS OF WAGE AND SALARY WORKERS
THIRD QUARTER 2014
Median weekly earnings of the nation's 107.9 million full-time wage and salary workers were $790 in
the third quarter of 2014 (not seasonally adjusted), the U.S. Bureau of Labor Statistics reported today.
This was 2.5 percent higher than a year earlier, compared with a gain of 1.8 percent in the Consumer
Price Index for All Urban Consumers (CPI-U) over the same period.
Data on usual weekly earnings are collected as part of the Current Population Survey, a nationwide
sample survey of households in which respondents are asked, among other things, how much each wage
and salary worker usually earns. (See the Technical Note.) Data shown in this release are not seasonally
adjusted unless otherwise specified. Highlights from the third-quarter data are:

Median weekly earnings were $790 in the third quarter of 2014. Women who usually worked
full time had median weekly earnings of $715, or 82.2 percent of the $870 median for men. (See
table 2.)

The women's-to-men's earnings ratio varied by race and ethnicity. White women earned 81.8
percent as much as their male counterparts, compared with black (89.5 percent), Asian (73.1
percent), and Hispanic women (89.6 percent). (See table 2.)

Among the major race and ethnicity groups, median weekly earnings for black men working at
full-time jobs were $679 per week, or 75.8 percent of the median for white men ($896). The
difference was less among women, as black women's median earnings ($608) were 82.9 percent
of those for white women ($733). Overall, median earnings of Hispanics who worked full time
($598) were lower than those of blacks ($638), whites ($816), and Asians ($945). (See table 2.)

Usual weekly earnings of full-time workers varied by age. Among men, those age 55 to 64 had
the highest median weekly earnings, at $1,053. Usual weekly earnings were highest for women
age 35 to 64: weekly earnings were $784 for women age 35 to 44, $772 for women age 45 to 54,
and $787 for women age 55 to 64. Workers age 16 to 24 had the lowest median weekly earnings,
at $480. (See table 3.)

Among the major occupational groups, persons employed full time in management,
professional, and related occupations had the highest median weekly earnings—$1,326 for men
and $980 for women. Men and women employed in service jobs had much lower earnings, $585
and $467, respectively. (See table 4.)

By educational attainment, full-time workers age 25 and over without a high school diploma
had median weekly earnings of $488, compared with $681 for high school graduates (no college)
and $1,170 for those holding at least a bachelor's degree. Among college graduates with
advanced degrees (professional or master's degree and above), the highest earning 10 percent of
male workers made $3,439 or more per week, compared with $2,293 or more for their female
counterparts. (See table 5.) 
Seasonally adjusted median weekly earnings were $797 in the third quarter of 2014, up from
the previous quarter ($782). (See table 1.)
Revision of Seasonally Adjusted Usual Weekly Earnings Data
The Usual Weekly Earnings news release for the fourth quarter of 2014 will incorporate annual
revisions to seasonally adjusted data for the number of full-time wage and salary workers and median
weekly earnings in current dollars. (See table 1.) Estimates for constant (1982-84) dollar median weekly
earnings also will be affected by revisions to the current dollar series. Seasonally adjusted estimates
back to the first quarter of 2010 will be subject to revision.
-2-
Technical Note
The estimates in this release were obtained from the
Current Population Survey (CPS), which provides basic
information on the labor force, employment, and
unemployment. The survey is conducted monthly for the
Bureau of Labor Statistics (BLS) by the U.S. Census Bureau
using a scientifically selected national sample of about
60,000 eligible households, with coverage in all 50 states and
the District of Columbia. The earnings data are collected
from one-fourth of the CPS monthly sample and are limited
to wage and salary workers. All self-employed workers, both
incorporated and unincorporated, are excluded from CPS
earnings estimates.
Material in this news release is in the public domain and
may be used without permission. This information is
available to sensory impaired individuals upon request.
Voice telephone: (202) 691-5200; Federal Relay Service:
(800) 877-8339.
Definitions
The principal definitions used in connection with the
earnings data in this news release are described briefly
below.
Usual weekly earnings. Data represent earnings before
taxes and other deductions and include any overtime pay,
commissions, or tips usually received (at the main job in the
case of multiple jobholders). Prior to 1994, respondents were
asked how much they usually earned per week. Since
January 1994, respondents have been asked to identify the
easiest way for them to report earnings (hourly, weekly,
biweekly, twice monthly, monthly, annually, or other) and
how much they usually earn in the reported time period.
Earnings reported on a basis other than weekly are
converted to a weekly equivalent. The term "usual" is
determined by each respondent’s own understanding of the
term. If the respondent asks for a definition of "usual,"
interviewers are instructed to define the term as more than
half the weeks worked during the past 4 or 5 months.
Medians (and other quantiles) of weekly earnings. The
median (or upper limit of the second quartile) is the midpoint
in a given earnings distribution, with half of workers having
earnings above the median and the other half having earnings
below the median. Ten percent of a given distribution have
earnings below the upper limit of the first decile (90 percent
have higher earnings), 25 percent have earnings below the
upper limit of the first quartile (75 percent have higher
earnings), 75 percent have earnings below the upper limit of
the third quartile (25 percent have higher earnings), and 90
percent have earnings below the upper limit of the ninth
decile (10 percent have higher earnings).
The BLS procedure for estimating the median of an
earnings distribution places each reported or calculated
weekly earnings value into a $50-wide interval that is
centered around a multiple of $50. The median is calculated
through the linear interpolation of the interval in which the
median lies.
Changes over time in the medians (and other quantile
boundaries) for specific groups may not necessarily be
consistent with the movements estimated for the overall
quantile boundary. The most common reasons for this
possible anomaly are as follows: (1) there could be a change
in the relative weights of the subgroups. For example, the
median of 16- to 24-year-olds and the median earnings of
those 25 years and over may rise, but if the lower earning 16to-24 age group accounts for a greatly increased share of the
total, the overall median could actually fall. (2) there could
be a large change in the shape of the distribution of reported
earnings, particularly near a quantile boundary. This change
could be caused by survey observations that are clustered at
rounded values, such as $400 or $500. An estimate lying in
a $50-wide centered interval containing such a cluster or
″spike″ tends to change more slowly than one in other
intervals.
Constant dollars. The Consumer Price Index for All
Urban Consumers (CPI-U) is used to convert current dollars
to constant (1982-84) dollars.
Wage and salary workers. These are workers who
receive wages, salaries, commissions, tips, payment in kind,
or piece rates. The group includes employees in both the
private and public sectors but, for the purposes of the
earnings series, it excludes all self-employed persons, both
those with incorporated businesses and those with
unincorporated businesses.
Full-time workers. For the purpose of producing
estimates of earnings, workers who usually work 35 hours or
more per week at their sole or principal job are defined as
working full time.
Part-time workers. For the purpose of producing
estimates of earnings, workers who usually work fewer than
35 hours per week at their sole or principal job are defined as
working part time.
Race. In the survey process, race is determined by the
household respondent. In accordance with the Office of
Management and Budget guidelines, white, black or African
American, Asian, American Indian or Alaska Native, and
Native Hawaiian or Other Pacific Islander are terms used to
describe a person’s race. Estimates for the latter two race
groups and persons who selected more than one race are not
included in this release due to insufficient sample size.
Hispanic or Latino ethnicity. This refers to people who
identified themselves in the survey process as being of
Hispanic, Latino, or Spanish origin. People whose ethnicity
is identified as Hispanic or Latino may be of any race.
Additional information about the reliability of data
from the CPS is available on the BLS website at
www.bls.gov/cps/documentation.htm#reliability.
Seasonal adjustment
Reliability
Statistics based on the CPS are subject to both sampling
and nonsampling error. When a sample, rather than the entire
population, is surveyed, there is a chance that the sample
estimates may differ from the true population values they
represent. The component of this difference that occurs
because samples differ by chance is known as sampling
error, and its variability is measured by the standard error of
the estimate. There is about a 90-percent chance, or level of
confidence, that an estimate based on a sample will differ by
no more than 1.6 standard errors from the true population
value because of sampling error. BLS analyses are generally
conducted at the 90-percent level of confidence.
The CPS data also are affected by nonsampling error.
Nonsampling error can occur for many reasons, including the
failure to sample a segment of the population, inability to
obtain information for all respondents in the sample, inability
or unwillingness of respondents to provide correct
information, and errors made in the collection or processing
of the data.
Over the course of a year, the size of the nation's labor
force and other measures of labor market activity undergo
regularly occurring fluctuations. These recurring events
include seasonal changes in weather, major holidays, and the
opening and closing of schools. The effect of such seasonal
variations can be very large.
Because seasonal events follow a more or less regular
pattern each year, their influence on the level of a series can
be tempered by adjusting for regular seasonal variation.
These adjustments make nonseasonal developments easier to
spot. The seasonally adjusted figures provide a more useful
tool with which to analyze changes in quarter-to-quarter
activity.
At the end of each calendar year, the seasonally
adjusted data are revised for the past 5 years when the
seasonal adjustment factors are updated. More information
on seasonal adjustment is available on the BLS website at
www.bls.gov/cps/documentation.htm#sa.
Table 1. Median usual weekly earnings of full-time wage and salary workers by sex, quarterly averages,
seasonally adjusted
Number of workers
(in thousands)
Median weekly earnings
In current dollars
Year and quarter
In constant (1982-84) dollars
Total
Men
Women
Total
$
Men
$
Women
$
Total
$
Men
$
Women
$
2005
3rd Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4th Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
104,310
104,605
58,843
58,967
45,467
45,638
651
658
723
730
588
588
331
332
368
368
299
296
2006
1st Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2nd Quarter....................................... .
3rd Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4th Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
104,708
105,798
107,041
106,847
58,960
59,831
60,060
60,140
45,748
45,966
46,981
46,707
662
663
678
681
737
732
755
748
594
597
603
607
332
329
334
337
370
364
372
370
298
296
297
300
2007
1st Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2nd Quarter....................................... .
3rd Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4th Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
107,176
106,827
107,156
108,178
60,105
60,351
60,216
60,508
47,070
46,476
46,940
47,670
687
693
698
700
752
765
774
774
610
610
621
615
336
335
336
332
368
370
372
368
298
295
298
292
2008
1st Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2nd Quarter....................................... .
3rd Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4th Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
107,786
107,046
106,136
105,617
60,378
59,586
59,273
58,511
47,408
47,460
46,863
47,106
713
722
724
727
783
802
802
806
633
636
637
647
335
335
331
340
368
372
367
377
298
295
291
302
2009
1st Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2nd Quarter....................................... .
3rd Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4th Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
101,683
99,996
99,050
98,555
56,302
55,233
54,481
54,410
45,381
44,763
44,569
44,145
732
737
742
747
815
818
820
823
645
652
664
666
345
345
345
344
384
383
381
379
304
305
309
307
2010
1st Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2nd Quarter....................................... .
3rd Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4th Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
98,151
99,616
100,407
99,939
54,104
55,042
55,613
55,469
44,047
44,574
44,793
44,470
748
743
745
750
836
813
822
826
662
670
670
676
344
342
342
341
384
374
377
376
305
309
307
308
2011
1st Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2nd Quarter....................................... .
3rd Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4th Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
99,691
100,376
100,477
101,287
55,339
55,855
56,042
56,646
44,352
44,521
44,435
44,641
750
754
758
761
821
828
837
838
679
687
682
686
338
336
335
335
370
369
370
369
306
306
301
302
2012
1st Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2nd Quarter....................................... .
3rd Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4th Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
102,194
102,543
102,615
103,644
57,114
57,113
57,216
57,709
45,080
45,430
45,399
45,935
765
772
764
772
841
867
838
868
693
686
693
690
335
337
332
334
369
379
365
375
304
300
302
298
2013
1st Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2nd Quarter....................................... .
3rd Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
4th Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
103,960
103,981
104,497
104,620
57,909
57,969
58,124
57,988
46,051
46,013
46,373
46,632
770
776
778
782
860
862
859
862
700
705
706
712
332
334
333
334
371
371
368
368
302
303
302
304
2014
1st Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2nd Quarter....................................... .
3rd Quarter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
105,620
106,337
106,876
58,704
59,469
59,635
46,917
46,868
47,241
791
782
797
867
859
880
716
715
722
336
330
335
368
362
370
304
302
304
NOTE: Updated population controls are introduced annually with the release of January data.
Table 2. Median usual weekly earnings of full-time wage and salary workers by selected characteristics,
quarterly averages, not seasonally adjusted
Number of workers
(in thousands)
Characteristic
3rd
2013
3rd
2014
SEX AND AGE
Total, 16 years and over............................................. .
105,459
Men, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
16 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Median weekly earnings
In current dollars
In constant (1982-84)
dollars
3rd
2013
3rd
2014
3rd
2013
3rd
2014
107,855
$771
$790
$330
$332
58,990
5,733
53,257
60,502
5,827
54,676
847
452
904
870
498
920
362
193
387
366
209
386
Women, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
16 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
46,469
4,324
42,146
47,353
4,314
43,038
698
414
737
715
448
750
299
177
315
300
188
315
RACE, HISPANIC OR LATINO ETHNICITY, AND SEX
White................................................................. .
Men................................................................ .
Women............................................................ .
83,689
47,897
35,791
85,030
48,730
36,299
794
868
719
816
896
733
340
371
307
343
377
308
Black or African American. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Men................................................................ .
Women............................................................ .
12,571
5,898
6,672
13,195
6,297
6,898
630
682
594
638
679
608
270
292
254
268
285
255
Asian................................................................. .
Men................................................................ .
Women............................................................ .
6,141
3,473
2,668
6,307
3,612
2,695
922
1,027
795
945
1,087
795
394
439
340
397
457
334
Hispanic or Latino ethnicity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Men................................................................ .
Women............................................................ .
17,480
10,593
6,887
17,625
10,802
6,823
587
609
553
598
617
553
251
260
236
251
259
232
NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all
races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the
release of January data.
Table 3. Median usual weekly earnings of full-time wage and salary workers by age, race, Hispanic or Latino
ethnicity, and sex, 3rd quarter 2014 averages, not seasonally adjusted
Total
Number of
workers
(in
thousands)
TOTAL
16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
16 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
16 to 19 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
20 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 years and over.................................................. .
25 to 54 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 to 34 years................................................. .
35 to 44 years................................................. .
45 to 54 years................................................. .
55 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
55 to 64 years................................................. .
65 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Men
Median
weekly
earnings
Number of
workers
(in
thousands)
107,855
10,141
1,340
8,801
97,714
76,506
26,027
24,927
25,553
21,208
17,627
3,581
$790
480
368
496
839
822
720
876
890
913
928
823
White
16 years and over.................................................. .
16 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 to 54 years................................................. .
55 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
85,030
8,060
76,969
59,576
17,394
Black or African American
16 years and over.................................................. .
16 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 to 54 years................................................. .
55 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Women
Median
weekly
earnings
Number of
workers
(in
thousands)
Median
weekly
earnings
60,502
5,827
809
5,018
54,676
43,013
14,899
14,111
14,002
11,663
9,646
2,017
$870
498
382
515
920
894
753
960
1,004
1,034
1,053
948
47,353
4,314
531
3,783
43,038
33,494
11,127
10,816
11,551
9,544
7,981
1,564
$715
448
345
469
750
743
668
784
772
778
787
689
816
487
865
847
938
48,730
4,697
44,033
34,250
9,784
896
505
951
918
1,071
36,299
3,364
32,936
25,326
7,610
733
454
767
760
793
13,195
1,193
12,001
9,750
2,252
638
424
669
646
786
6,297
590
5,707
4,691
1,016
679
421
720
683
835
6,898
603
6,295
5,059
1,236
608
429
631
612
745
Asian
16 years and over.................................................. .
16 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 to 54 years................................................. .
55 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
6,307
386
5,921
4,776
1,145
945
581
978
1,018
803
3,612
248
3,364
2,717
648
1,087
672
1,142
1,159
968
2,695
138
2,557
2,060
497
795
418
818
866
644
Hispanic or Latino ethnicity
16 years and over.................................................. .
16 to 24 years. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
25 to 54 years................................................. .
55 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
17,625
2,176
15,449
13,420
2,029
598
441
622
620
638
10,802
1,284
9,518
8,266
1,252
617
462
657
655
668
6,823
892
5,931
5,154
777
553
420
588
587
595
Age, race, and Hispanic or Latino ethnicity
NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all
races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the
release of January data.
Table 4. Median usual weekly earnings of full-time wage and salary workers by occupation and sex, quarterly
averages, not seasonally adjusted
Occupation and sex
Number of workers
(in thousands)
Median weekly earnings
3rd
2013
3rd
2014
3rd
2013
3rd
2014
TOTAL
Management, professional, and related occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Management, business, and financial operations occupations. . . . . . . . . . . . . . . . . . .
Professional and related occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Service occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Sales and office occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .............. .
Sales and related occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Office and administrative support occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Natural resources, construction, and maintenance occupations. . . . . . . . . . . . . . . . . . . .
Farming, fishing, and forestry occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Construction and extraction occupations........................................... .
Installation, maintenance, and repair occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Production, transportation, and material moving occupations...................... .
Production occupations............................................................... .
Transportation and material moving occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
41,679
17,082
24,597
15,419
23,379
9,708
13,671
10,886
856
5,762
4,269
14,096
7,215
6,881
43,476
17,816
25,659
15,138
23,316
9,517
13,798
11,284
959
6,064
4,260
14,642
7,612
7,030
$1,116
1,179
1,056
490
655
710
629
744
462
725
828
633
623
647
$1,131
1,225
1,065
508
665
710
646
755
414
758
836
640
651
628
Men
Management, professional, and related occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Management, business, and financial operations occupations. . . . . . . . . . . . . . . . . . .
Professional and related occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Service occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Sales and office occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .............. .
Sales and related occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Office and administrative support occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Natural resources, construction, and maintenance occupations. . . . . . . . . . . . . . . . . . . .
Farming, fishing, and forestry occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Construction and extraction occupations........................................... .
Installation, maintenance, and repair occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Production, transportation, and material moving occupations...................... .
Production occupations............................................................... .
Transportation and material moving occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
20,372
9,215
11,158
7,730
9,185
5,565
3,620
10,442
712
5,608
4,122
11,260
5,265
5,994
21,271
9,646
11,626
7,494
9,196
5,279
3,917
10,814
737
5,934
4,143
11,727
5,658
6,069
1,338
1,417
1,268
562
744
805
636
756
482
733
832
685
692
680
1,326
1,441
1,252
585
761
844
673
763
419
760
837
697
724
663
Women
Management, professional, and related occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Management, business, and financial operations occupations. . . . . . . . . . . . . . . . . . .
Professional and related occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Service occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Sales and office occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .............. .
Sales and related occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Office and administrative support occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Natural resources, construction, and maintenance occupations. . . . . . . . . . . . . . . . . . . .
Farming, fishing, and forestry occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Construction and extraction occupations........................................... .
Installation, maintenance, and repair occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Production, transportation, and material moving occupations...................... .
Production occupations............................................................... .
Transportation and material moving occupations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
21,306
7,867
13,439
7,689
14,194
4,143
10,051
444
144
153
147
2,836
1,950
886
22,204
8,171
14,034
7,645
14,120
4,238
9,881
469
222
131
117
2,915
1,953
961
962
1,034
941
447
615
558
627
551
396
585
680
492
493
490
980
1,048
949
467
624
584
640
486
394
689
769
498
504
475
NOTE: Updated population controls are introduced annually with the release of January data.
Table 5. Quartiles and selected deciles of usual weekly earnings of full-time wage and salary workers by
selected characteristics, 3rd quarter 2014 averages, not seasonally adjusted
Characteristic
Number of
workers
(in
thousands)
Upper limit of:
First decile
First
quartile
Second
quartile
(median)
Third
quartile
Ninth
decile
SEX, RACE, AND HISPANIC OR LATINO ETHNICITY
Total, 16 years and over............................................. .
Men. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Women. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
107,855
60,502
47,353
$381
401
355
$521
577
486
$790
870
715
$1,241
1,389
1,093
$1,896
2,096
1,588
White................................................................. .
Men................................................................ .
Women............................................................ .
85,030
48,730
36,299
389
409
363
543
589
497
816
896
733
1,267
1,422
1,118
1,910
2,119
1,588
Black or African American. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Men................................................................ .
Women............................................................ .
13,195
6,297
6,898
338
349
333
449
471
431
638
679
608
964
999
944
1,482
1,539
1,412
Asian................................................................. .
Men................................................................ .
Women............................................................ .
6,307
3,612
2,695
386
413
356
582
649
502
945
1,087
795
1,559
1,771
1,269
2,413
2,710
1,893
Hispanic or Latino ethnicity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Men................................................................ .
Women............................................................ .
17,625
10,802
6,823
339
361
313
419
446
395
598
617
553
890
932
826
1,363
1,440
1,247
EDUCATIONAL ATTAINMENT
Total, 25 years and over............................................. .
Less than a high school diploma................................. .
High school graduates, no college1.............................. .
Some college or associate degree............................... .
Bachelor’s degree and higher2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Bachelor’s degree only. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Advanced degree................................................ .
97,714
6,756
25,599
26,861
38,498
24,469
14,029
399
305
370
398
579
527
689
568
382
489
533
792
732
945
839
488
681
762
1,170
1,068
1,359
1,300
646
982
1,115
1,800
1,649
1,962
1,920
875
1,366
1,578
2,584
2,387
2,910
Men, 25 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Less than a high school diploma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
High school graduates, no college1. . . . . . . . . . . . . . . . . . . . . . . . . . . .
Some college or associate degree. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Bachelor’s degree and higher2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Bachelor’s degree only....................................... .
Advanced degree. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
54,676
4,689
15,698
14,218
20,070
12,835
7,235
423
333
395
451
621
584
782
609
405
536
609
899
815
1,067
920
519
753
877
1,366
1,238
1,598
1,459
699
1,079
1,260
2,041
1,889
2,321
2,181
942
1,510
1,760
2,912
2,677
3,439
Women, 25 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Less than a high school diploma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
High school graduates, no college1. . . . . . . . . . . . . . . . . . . . . . . . . . . .
Some college or associate degree. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Bachelor’s degree and higher2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Bachelor’s degree only....................................... .
Advanced degree. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
43,038
2,067
9,901
12,643
18,428
11,634
6,793
375
278
333
368
523
487
615
509
330
428
484
727
667
845
750
408
590
660
1,019
936
1,168
1,141
518
801
940
1,487
1,387
1,632
1,655
667
1,118
1,298
2,091
1,922
2,293
1
Includes persons with a high school diploma or equivalent.
Includes persons with bachelor’s, master’s, professional, and doctoral degrees.
NOTE: Ten percent of all full-time wage and salary workers earn less than the upper limit of the first decile; 25 percent earn less than the upper limit
of the first quartile; 50 percent earn less than the upper limit of the second quartile, or median; 75 percent earn less than the upper limit of the third
quartile; and 90 percent earn less than the upper limit of the ninth decile. Estimates for the above race groups (white, black or African American, and
Asian) do not sum to totals because data are not presented for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any
race. Updated population controls are introduced annually with the release of January data.
2
Table 6. Median usual weekly earnings of part-time wage and salary workers by selected characteristics,
quarterly averages, not seasonally adjusted
Characteristic
Number of workers
(in thousands)
Median weekly earnings
3rd
2013
3rd
2014
3rd
2013
3rd
2014
SEX AND AGE
Total, 16 years and over................................................................ .
24,064
24,032
$241
$245
Men, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .............. .
16 to 24 years....................................................................... .
25 years and over.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
8,391
3,634
4,758
8,443
3,750
4,693
234
193
278
240
199
285
Women, 16 years and over. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
16 to 24 years....................................................................... .
25 years and over.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
15,673
4,642
11,031
15,589
4,679
10,910
245
187
280
248
194
279
RACE, HISPANIC OR LATINO ETHNICITY, AND SEX
White.................................................................................... .
Men................................................................................... .
Women............................................................................... .
19,288
6,578
12,710
19,221
6,553
12,668
243
235
247
249
244
251
Black or African American. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Men................................................................................... .
Women............................................................................... .
2,668
1,074
1,594
2,706
1,103
1,603
231
229
233
224
217
230
Asian.................................................................................... .
Men................................................................................... .
Women............................................................................... .
1,236
408
828
1,199
443
757
246
225
258
267
256
274
Hispanic or Latino ethnicity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Men................................................................................... .
Women............................................................................... .
3,597
1,463
2,134
4,065
1,559
2,505
228
238
222
235
251
227
NOTE: Estimates for the above race groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all
races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the
release of January data.