For release 10:00 a.m. (EST) Thursday, February 23, 2012
USDL-12-0330
Technical information: (202) 691-6392 • [email protected] • www.bls.gov/mls
Media contact:
(202) 691-5902 • [email protected]
MASS LAYOFFS – JANUARY 2012
Employers took 1,434 mass layoff actions in January involving 129,920 workers, seasonally adjusted, as
measured by new filings for unemployment insurance benefits during the month, the U.S. Bureau of
Labor Statistics reported today. Each mass layoff involved at least 50 workers from a single employer.
Mass layoff events in January increased by 50 from December, while the number of associated initial
claims decreased by 15,728. In January, 341 mass layoff events were reported in the manufacturing
sector, seasonally adjusted, resulting in 33,597 initial claims. (See table 1.)
Chart 1. Mass layoff initial claims and unemployment rate, seasonally adjusted, January 2001‐January 2012 Initial Claims
350,000
Unemployment Rate
14.0
300,000
12.0
250,000
10.0
200,000
8.0
150,000
6.0
100,000
4.0
50,000
2.0
0
Jan‐01
Jan‐02
Jan‐03
Jan‐04
Total mass layoff initial claims
Jan‐05
Jan‐06
Jan‐07
Jan‐08
Manufacturing mass layoff initial claims
Jan‐09
Jan‐10
Jan‐11
0.0
Jan‐12
Unemployment rate
The national unemployment rate was 8.3 percent in January, down from 8.5 percent the prior month and
from 9.1 percent a year earlier. Total nonfarm payroll employment increased by 243,000 over the month
and by 1,953,000 over the year.
Changes to Mass Layoff Data
Effective with this release, the Mass Layoff Statistics program updated the basis for industry
classification from the 2007 North American Industry Classification System (NAICS) to the 2012
NAICS. The new conversion reflects definitional changes within the utilities, construction,
manufacturing, wholesale trade, and retail trade sectors. Several industry titles and descriptions were
also updated. For more information on the 2012 NAICS update, visit
www.census.gov/epcd/www/naics.html. For more information on the implementation of NAICS 2012 in
the Mass Layoff Statistics program, visit www.bls.gov/mls/mls2012naics.htm.
Table A. Six-digit NAICS industries with the largest number of mass layoff initial claims
in January 2012, private nonfarm, not seasonally adjusted
January peak
Industry
Initial Claims
Year
Initial claims
1
Temporary help services ........................................
School and employee bus transportation ...................
Discount department stores ......................................
1
Professional employer organizations .......................
Highway, street, and bridge construction ...................
Hotels and motels, except casino hotels ....................
Supermarkets and other grocery stores .....................
Department stores, except discount ..........................
Full-service restaurants .............................................
Motion picture and video production ........................
1
13,692
8,165
4,225
1998
2010
2010
26,224
15,131
8,065
3,157
2,889
2,537
2,515
2,212
1,905
1,649
2009
2000
2009
2009
1998
2009
1998
11,345
9,680
6,592
3,978
5,600
2,658
12,038
See the Technical Note for more information on these industries.
Industry Distribution (Not Seasonally Adjusted)
The number of mass layoff events in January was 1,705, not seasonally adjusted, resulting in 141,703
initial claims for unemployment insurance. (See table 2.) Over the year, the number of average weekly
mass layoff events decreased by 86 to 426, and associated average weekly initial claims decreased by
13,867 to 35,426. Sixteen of the 19 major industry sectors in the private economy reported over-the-year
decreases in average weekly initial claims, with the largest decrease occurring in manufacturing. (See
table 3.) The six-digit industry with the largest number of private nonfarm initial claims in January 2012
was temporary help services. (See table A.)
In January the manufacturing sector accounted for 25 percent of mass layoff events and 28 percent of
associated initial claims in the private economy. A year earlier, manufacturing made up 28 percent of
events and 32 percent of initial claims. Within manufacturing, the numbers of mass layoff claimants in
January 2012 were greatest in transportation equipment and food. Fifteen of the 21 manufacturing
subsectors experienced over-the-year decreases in average weekly initial claims, with the largest
decrease occurring in transportation equipment. Five subsectors recorded January series’ lows in terms
of average weekly initial claims—beverage and tobacco products, textile product mills, wood products,
fabricated metal products, and transportation equipment. (See table 3.)
Geographic Distribution (Not Seasonally Adjusted)
Among the census regions, the South registered the greatest number of initial claims in January. All four
regions experienced over-the-year decreases in average weekly initial claims, with the largest decline
occurring in the Midwest. (See table 4.)
Among the states, California recorded the highest number of mass layoff initial claims in January,
followed by New York, Pennsylvania, and North Carolina. Forty-one states and the District of Columbia
-2-
experienced over-the-year declines in average weekly initial claims, led by California, Pennsylvania,
and Michigan. (See table 4.)
Note
The monthly data series in this release cover mass layoffs of 50 or more workers beginning in a given
month, regardless of the duration of the layoffs. For private nonfarm establishments, information on the
length of the layoff is obtained later and issued in a quarterly release that reports on mass layoffs lasting
more than 30 days (referred to as “extended mass layoffs”). The quarterly release provides more
information on the industry classification and location of the establishment and on the demographics of
the laid-off workers. The monthly data series in this release are subjected to average weekly analysis,
which mitigates the effect of differing lengths of months. See the Technical Note for more detailed
definitions and for a description of average weekly analysis.
____________
The Mass Layoffs news release for February 2012 is scheduled to be released on Friday,
March 23, 2012, at 10:00 a.m. (EDT).
-3-
Technical Note
The Mass Layoff Statistics (MLS) program is a federalstate program that uses a standardized automated approach to
identifying, describing, and tracking the effects of major job
cutbacks, using data from each state's unemployment
insurance database. Each month, states report on employers
which have at least 50 initial claims filed against them during
a consecutive 5-week period. These employers then are
contacted by the state agency to determine whether these
separations lasted 31 days or longer, and, if so, other
information concerning the layoff is collected. States report
on layoffs lasting more than 1 month on a quarterly basis.
A given month contains an aggregation of the weekly
unemployment insurance claims filings for the Sunday
through Saturday weeks in that month. All weeks are
included for the particular month, except if the first day of the
month falls on Saturday. In this case, the week is included in
the prior month's tabulations. This means that some months
will contain 4 weeks and others, 5 weeks. The number of
weeks in a given month may be different from year to year,
and the number of weeks in a year may vary. Therefore, data
users who intend to perform analysis of over-the-year change
in the not seasonally adjusted series should use the average
weekly mass layoff figures displayed in tables 3 and 4 of this
release. The average weekly adjustment process produces a
consistent series for each month across all years, permitting
over-the-year analysis to be performed using strictly
comparable data.
The MLS program resumed operations in April 1995
after it had been terminated in November 1992 due to lack of
funding. Prior to April 1995, monthly layoff statistics were
not available.
Information in this release will be made available to
sensory impaired individuals upon request. Voice phone:
(202) 691-5200; Federal Relay Service: (800) 877-8339
Definitions
Average weekly mass layoff events and initial claimants.
The number of events and initial claimants in a given month
divided by the number of weeks contained within that month.
Employer. Employers in the MLS program include
those covered by state unemployment insurance laws.
Information on employers is obtained from the Quarterly
Census of Employment and Wages (QCEW) program, which
is administered by the Bureau of Labor Statistics (BLS).
Industry. Employers are classified according to the 2007
version of the North American Industry Classification System
(NAICS). For temporary help and professional employer
organization industries, monthly MLS-related statistics
generally reflect layoffs related to underlying client
companies in other industries. An individual layoff action at a
client company can be small, but when initial claimants
associated with many such layoffs are assigned to a
temporary help or professional employer organization firm, a
mass layoff event may trigger.
Initial claimant. A person who files any notice of unemployment to initiate a request either for a determination of
entitlement to and eligibility for compensation, or for a
subsequent period of unemployment within a benefit year or
period of eligibility.
Mass layoff event. Fifty or more initial claims for
unemployment insurance benefits filed against an employer
during a 5-week period, regardless of duration.
Seasonal adjustment
Effective with the release of data for January 2005, BLS
began publishing six seasonally adjusted monthly MLS
series. The six series are the numbers of mass layoff events
and mass layoff initial claims for the total, private nonfarm,
and manufacturing sectors.
Seasonal adjustment is the process of estimating and
removing the effect on time series data of regularly recurring
seasonal events such as changes in the weather, holidays, and
the beginning and ending of the school year. The use of
seasonal adjustment makes it easier to observe fundamental
changes in time series, particularly those associated with
general economic expansions and contractions.
The MLS data are seasonally adjusted using the X-12ARIMA seasonal adjustment method on a concurrent basis.
Concurrent seasonal adjustment uses all available monthly
estimates, including those for the current month, in
developing seasonal adjustment factors. Revisions to the most
recent 5 years of seasonally adjusted data will be made once a
year with the issuance of December data. Before the data are
seasonally adjusted, prior adjustments are made to the
original data to adjust them for differences in the number of
weeks used to calculate the monthly data. Because weekly
unemployment insurance claims are aggregated to form
monthly data, a particular month's value could be calculated
with 5 weeks of data in 1 year and 4 weeks in another. The
effects of these differences could seriously distort the
seasonal factors if they were ignored in the seasonal
adjustment process. These effects are modeled in the X-12ARIMA program and are permanently removed from the
final seasonally adjusted series.
Table 1. Mass layoff events and initial claimants for unemployment insurance, February 2008 to
January 2012, seasonally adjusted
Total
Date
Events
Private nonfarm
Initial
claimants
Events
Initial
claimants
Manufacturing
Events
Initial
claimants
2008
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
1,724
1,515
1,290
1,567
1,612
1,589
1,763
2,159
2,201
2,406
2,437
179,955
151,628
128,643
160,475
163,425
163,572
181,853
229,180
226,853
239,239
244,889
1,567
1,400
1,157
1,432
1,471
1,452
1,632
1,990
2,043
2,247
2,261
168,003
141,316
117,639
150,893
152,133
153,060
172,147
215,749
213,454
225,404
230,621
485
441
453
470
491
465
578
629
698
907
935
60,752
58,254
57,044
62,776
68,862
62,210
77,464
82,011
93,252
103,836
116,181
2009
January ..........................................................
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
2,254
3,059
2,999
2,566
2,710
2,466
2,186
2,340
2,261
1,969
1,757
1,719
235,371
326,392
299,322
249,129
284,468
247,597
222,941
216,047
214,018
195,752
164,454
155,056
2,083
2,901
2,800
2,349
2,516
2,257
1,979
2,115
2,048
1,772
1,588
1,543
221,653
310,378
282,414
232,632
267,869
230,502
203,911
197,172
198,761
178,172
151,172
140,835
726
1,251
1,230
1,007
1,181
1,048
636
751
786
571
472
424
92,293
145,839
154,168
116,051
147,184
137,649
75,728
77,894
91,125
65,217
52,855
44,096
2010
January ..........................................................
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
1,707
1,631
1,676
1,637
1,608
1,695
1,519
1,588
1,510
1,654
1,592
1,477
168,044
156,292
149,816
154,558
150,996
151,435
138,091
159,329
133,576
149,589
161,145
135,849
1,529
1,465
1,469
1,452
1,357
1,475
1,316
1,399
1,295
1,446
1,410
1,271
154,187
141,831
134,518
138,503
130,273
132,742
122,162
136,697
115,349
132,146
145,494
121,171
471
374
356
368
302
325
304
390
328
354
360
322
53,817
43,620
40,705
44,506
29,932
33,298
32,253
43,154
34,333
38,937
39,977
36,267
2011
January ..........................................................
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
1,536
1,434
1,275
1,548
1,600
1,513
1,562
1,551
1,447
1,335
1,332
1,384
148,952
131,569
115,391
145,836
144,412
143,384
145,078
164,275
147,353
118,924
131,627
145,648
1,348
1,242
1,118
1,383
1,404
1,334
1,348
1,347
1,306
1,205
1,192
1,238
131,869
116,745
102,722
131,317
127,793
128,410
125,285
149,874
134,038
107,330
120,760
130,583
337
297
251
341
374
344
346
382
364
341
324
351
37,477
26,696
28,988
37,053
39,180
36,265
36,312
49,194
38,026
33,926
36,563
39,081
2012
January ..........................................................
1,434
129,920
1,298
119,102
341
33,597
Table 2. Mass layoff events and initial claimants for unemployment insurance, February 2008 to
January 2012, not seasonally adjusted
Total
Date
Events
Private nonfarm
Initial
claimants
Events
Initial
claimants
Manufacturing
Events
Initial
claimants
2008
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
1,269
1,089
1,272
1,552
1,622
1,891
1,427
1,292
2,125
2,574
3,377
119,508
114,541
130,810
159,471
166,742
200,382
139,999
129,586
221,784
241,589
351,305
1,178
1,039
1,172
1,438
1,315
1,687
1,343
1,202
1,917
2,389
3,232
113,587
110,147
121,625
150,462
140,916
186,018
133,146
122,505
205,553
226,657
340,220
361
333
394
388
309
760
414
361
689
997
1,378
42,527
43,740
48,188
51,698
42,097
108,733
51,912
46,391
100,457
107,620
172,529
2009
January ..........................................................
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
3,806
2,262
2,191
2,547
2,738
2,519
3,054
1,428
1,371
1,934
1,870
2,310
388,813
218,438
228,387
256,930
289,628
256,357
336,654
125,024
123,177
193,904
164,496
214,648
3,633
2,173
2,107
2,385
2,572
2,051
2,659
1,334
1,258
1,678
1,679
2,166
375,293
210,755
221,397
243,321
274,047
216,063
296,589
117,193
115,141
172,883
150,751
203,655
1,461
945
940
887
1,005
674
1,133
436
448
566
517
615
172,757
103,588
114,747
100,872
123,683
85,726
154,208
41,151
51,126
69,655
55,053
64,540
2010
January ..........................................................
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
2,860
1,183
1,197
1,840
1,354
1,861
2,124
976
920
1,642
1,676
1,931
278,679
102,818
111,727
199,690
123,333
171,190
206,254
92,435
77,654
148,638
158,048
184,130
2,682
1,091
1,111
1,697
1,170
1,355
1,732
897
806
1,373
1,477
1,763
265,074
96,022
105,514
184,654
109,203
125,872
172,248
83,021
67,987
127,865
142,591
172,881
962
282
273
424
216
212
532
230
187
351
389
465
104,846
30,728
29,745
55,178
19,334
21,083
64,200
23,088
19,403
40,861
41,383
52,816
2011
January ..........................................................
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
2,558
1,024
908
1,750
1,367
1,661
2,176
961
1,189
1,101
1,393
2,433
246,463
85,585
85,095
189,919
119,911
159,930
216,774
99,213
117,232
96,914
127,750
263,665
2,372
919
844
1,625
1,221
1,238
1,759
875
1,095
950
1,245
2,258
229,765
78,718
80,014
176,478
108,531
122,821
174,078
93,159
107,300
83,748
117,474
247,916
693
222
191
397
270
226
602
228
296
265
349
658
75,006
18,471
20,869
47,104
25,199
22,986
71,814
26,916
32,058
28,447
37,799
75,033
2012
January ..........................................................
1,705
141,703
1,587
132,754
415
38,021
Table 3. Industry distribution: Mass layoff events and initial claimants for unemployment insurance, not seasonally adjusted
Average weekly mass layoffs 1
Events
Initial claimants
Mass layoff totals
Industry
Events
Initial claimants
January
January
January
January
January
January
January
January
2011
2012
2011
2012
2011
2012
2011
2012
Total ........................................................................
Total, private ....................................................................
Agriculture, forestry, fishing and hunting .....................
2,558
2,438
66
1,705
1,634
47
246,463
234,708
4,943
141,703
135,663
2,909
512
488
13
426
409
12
49,293
46,942
989
35,426
33,916
727
Total, private nonfarm ...................................................
Mining ..........................................................................
Utilities .........................................................................
Construction ................................................................
Construction of buildings .........................................
Heavy and civil engineering construction ................
Specialty trade contractors ......................................
Manufacturing ..............................................................
Food ........................................................................
Beverage and tobacco products ..............................
Textile mills ..............................................................
Textile product mills .................................................
Apparel ....................................................................
Leather and allied products .....................................
Wood products ........................................................
Paper .......................................................................
Printing and related support activities .....................
Petroleum and coal products ...................................
Chemicals ................................................................
Plastics and rubber products ...................................
Nonmetallic mineral products ..................................
Primary metals ........................................................
Fabricated metal products .......................................
Machinery ................................................................
Computer and electronic products ..........................
Electrical equipment and appliances .......................
Transportation equipment .......................................
Furniture and related products ................................
Miscellaneous manufacturing ..................................
2,372
15
5
325
47
137
141
693
94
5
31
9
20
1,587
16
4
194
33
69
92
415
56
229,765
1,188
390
23,906
3,426
10,392
10,088
75,006
9,313
752
4,455
793
1,776
132,754
1,019
350
13,743
2,429
4,786
6,528
38,021
4,964
474
3
1
65
9
27
28
139
19
1
6
2
4
397
4
1
49
8
17
23
104
14
45,953
238
78
4,781
685
2,078
2,018
15,001
1,863
150
891
159
355
33,189
255
88
3,436
607
1,197
1,632
9,505
1,241
(3)
43
14
12
(3)
4,930
1,049
983
(3)
986
210
197
(3)
1,612
4,569
4,239
3,046
4,174
5,446
1,020
1,572
19,478
4,263
1,073
(3)
2,704
833
1,347
273
1,064
1,931
2,569
1,649
1,643
1,938
876
1,797
5,969
2,371
1,113
(3)
9
3
2
(3)
18
51
56
23
51
46
14
15
128
44
14
(3)
35
8
16
4
13
24
36
15
23
22
15
11
47
30
13
Wholesale trade ..........................................................
4
Retail trade ...............................................................
Building material and garden supply stores ............
Food and beverage stores ......................................
Clothing and clothing accessories stores ................
General merchandise stores ...................................
4
Transportation and warehousing ...............................
Truck transportation ................................................
Transit and ground passenger transportation .........
Support activities for transportation .........................
Information ..................................................................
Finance and insurance ................................................
Real estate and rental and leasing ..............................
Professional and technical services ............................
Management of companies and enterprises ...............
Administrative and waste services ..............................
Educational services ...................................................
Health care and social assistance ...............................
Arts, entertainment, and recreation .............................
Accommodation and food services .............................
Accommodation .......................................................
Food services and drinking places ..........................
Other services, except public administration ...............
Unclassified ................................................................
32
241
21
28
26
92
212
27
139
5
53
31
17
52
6
381
19
56
55
158
58
100
21
-
29
181
16
31
16
77
137
27
75
5
33
30
4
45
6
276
17
36
33
114
42
72
12
5
2,839
27,038
1,777
2,743
1,944
13,645
22,440
1,742
15,596
384
7,915
2,758
1,150
4,019
439
34,996
2,672
3,880
5,494
12,107
4,800
7,307
1,528
-
Government .....................................................................
Federal ........................................................................
State ............................................................................
State government education ..................................
Local ............................................................................
Local government education ..................................
120
23
32
13
65
23
71
13
25
9
33
12
11,755
2,922
3,272
911
5,561
2,132
2
1
Average weekly analysis mitigates the effect of differing
lengths of months. There were 5 weeks in January 2011
and 4 weeks in January 2012. Average weekly events
and initial claimants may not sum to subtotals and totals
due to rounding.
(3)
20
5
17
(3)
2,274
444
1,899
(3)
5
1
4
(3)
569
111
475
(3)
4
10
11
5
10
9
3
3
26
9
3
(3)
9
2
4
1
3
6
9
4
6
6
4
3
12
8
3
(3)
322
914
848
609
835
1,089
204
314
3,896
853
215
(3)
676
208
337
68
266
483
642
412
411
485
219
449
1,492
593
278
2,262
16,612
1,501
2,575
1,041
8,406
13,404
1,773
8,592
324
2,925
2,076
207
3,084
432
21,596
1,770
2,053
3,107
8,725
3,371
5,354
1,019
349
6
48
4
6
5
18
42
5
28
1
11
6
3
10
1
76
4
11
11
32
12
20
4
-
7
45
4
8
4
19
34
7
19
1
8
8
1
11
2
69
4
9
8
29
11
18
3
1
568
5,408
355
549
389
2,729
4,488
348
3,119
77
1,583
552
230
804
88
6,999
534
776
1,099
2,421
960
1,461
306
-
566
4,153
375
644
260
2,102
3,351
443
2,148
81
731
519
52
771
108
5,399
443
513
777
2,181
843
1,339
255
87
6,040
1,196
2,576
602
2,268
788
24
5
6
3
13
5
18
3
6
2
8
3
2,351
584
654
182
1,112
426
1,510
299
644
151
567
197
2
Data were reported by all states and the District of Columbia.
Data do not meet BLS or state agency disclosure standards.
4
Includes other industries not shown.
3
NOTE: Dash represents zero.
Table 4. Region and state distribution: Mass layoff events and initial claimants for unemployment insurance,
not seasonally adjusted
Mass layoff totals
Events
Census region and state
Average weekly mass layoffs¹
Initial Claimants
Events
Initial Claimants
January
2011
January
2012
January
2011
January
2012
January
2011
January
2012
January
2011
January
2012
Total ² ................................................
2,558
1,705
246,463
141,703
512
426
49,293
35,426
Northeast ..............................................
Connecticut ......................................
Maine ...............................................
Massachusetts .................................
New Hampshire ................................
New Jersey ......................................
New York ..........................................
Pennsylvania ....................................
Rhode Island ....................................
Vermont ............................................
591
11
11
34
9
109
207
194
8
8
386
8
8
18
7
51
166
120
5
3
58,802
1,048
900
3,225
722
9,853
24,950
16,952
555
597
34,860
547
658
1,821
504
4,273
17,607
8,912
318
220
118
2
2
7
2
22
41
39
2
2
97
2
2
5
2
13
42
30
1
1
11,760
210
180
645
144
1,971
4,990
3,390
111
119
8,715
137
165
455
126
1,068
4,402
2,228
80
55
South ....................................................
Alabama ...........................................
Arkansas ..........................................
Delaware ..........................................
District of Columbia ..........................
Florida ..............................................
Georgia ............................................
Kentucky ..........................................
Louisiana ..........................................
Maryland ..........................................
Mississippi ........................................
North Carolina ..................................
Oklahoma .........................................
South Carolina .................................
Tennessee .......................................
Texas ...............................................
Virginia .............................................
West Virginia ....................................
687
70
6
5
496
55
19
66,552
7,730
768
411
43,925
6,489
1,389
137
14
1
1
124
14
5
13,310
1,546
154
82
10,981
1,622
347
Midwest ................................................
Illinois ...............................................
Indiana .............................................
Iowa ..................................................
Kansas .............................................
Michigan ...........................................
Minnesota .........................................
Missouri ............................................
Nebraska ..........................................
North Dakota ....................................
Ohio ..................................................
South Dakota ...................................
Wisconsin .........................................
West .....................................................
Alaska ..............................................
Arizona .............................................
California ..........................................
Colorado ...........................................
Hawaii ..............................................
Idaho ................................................
Montana ...........................................
Nevada .............................................
New Mexico ......................................
Oregon .............................................
Utah ..................................................
Washington ......................................
Wyoming ..........................................
Puerto Rico ......................................
(3)
128
84
47
29
25
13
100
11
41
26
54
42
(3)
613
86
43
39
23
127
19
55
9
3
( )
93
3
( )
115
667
(3)
13
530
11
6
8
6
12
7
36
7
25
(3)
25
(3)
4
87
41
33
8
10
13
84
6
32
24
51
25
(3)
9,464
8,952
5,472
2,309
1,888
1,163
9,865
1,048
5,124
2,143
5,039
4,497
(3)
386
55
40
17
8
53
20
42
(3)
63,468
7,516
6,487
4,007
5,440
10,398
1,988
4,713
1,086
(3)
3
( )
67
78
3
( )
9,241
3
( )
12,148
437
8
57,641
(3)
263
6,044
4,097
2,847
518
624
737
7,468
443
3,475
1,820
3,981
3,362
(3)
31,060
4,823
3,594
1,271
815
3,962
1,591
2,860
(3)
3
( )
5,630
6,014
31,858
731
(3)
342
5
4
6
5
14
5
19
7
18
(3)
1,075
44,274
1,126
388
698
560
1,299
467
4,390
720
2,151
(3)
23,787
556
316
445
503
1,323
299
1,699
514
1,446
(3)
15
(3)
2,854
(3)
1,205
1
See footnote 1, table 3.
3
2
See footnote 2, table 3.
NOTE: Dash represents zero.
(3)
26
17
9
6
5
3
20
2
8
5
11
8
(3)
123
17
9
8
5
25
4
11
2
3
( )
19
3
( )
23
133
(3)
3
106
2
1
2
1
2
1
7
1
5
(3)
(3)
1
22
10
8
2
3
3
21
2
8
6
13
6
(3)
1,893
1,790
1,094
462
378
233
1,973
210
1,025
429
1,008
899
(3)
97
14
10
4
2
13
5
11
(3)
12,694
1,503
1,297
801
1,088
2,080
398
943
217
(3)
3
( )
17
20
109
2
(3)
86
1
1
2
1
4
1
5
2
5
(3)
5
4
3
( )
1,848
3
( )
2,430
11,528
(3)
66
1,511
1,024
712
130
156
184
1,867
111
869
455
995
841
(3)
7,765
1,206
899
318
204
991
398
715
(3)
3
( )
1,408
1,504
7,965
183
(3)
215
8,855
225
78
140
112
260
93
878
144
430
(3)
5,947
139
79
111
126
331
75
425
129
362
(3)
571
(3)
301
Data do not meet BLS or state agency disclosure standards.