USDL-13-0286
For release 10:00 a.m. (EST) Tuesday, February 26, 2013
Technical information: (202) 691-6392 • [email protected] • www.bls.gov/mls
Media contact:
(202) 691-5902 • [email protected]
MASS LAYOFFS — JANUARY 2013
Employers took 1,328 mass layoff actions in January involving 134,026 workers as measured by new
filings for unemployment insurance benefits during the month, the U.S. Bureau of Labor Statistics
reported today. (Data are seasonally adjusted.) Each mass layoff involved at least 50 workers from a
single employer. Mass layoff events decreased by 181 from December, and the number of associated
initial claims decreased by 3,813. In January, 357 mass layoff events were reported in the manufacturing
sector resulting in 43,068 initial claims. Monthly mass layoff data are identified using administrative
data sources without regard to layoff duration. (See table 1 and the note at the end of this release.)
Chart 1. Mass layoff initial claims and unemployment rate, seasonally adjusted, January 2002‐January 2013 Unemployment Rate
14.0
Initial Claims
350,000
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‐02
Jan‐03
Jan‐04
Jan‐05
Total mass layoff initial claims
Jan‐06
Jan‐07
Jan‐08
Jan‐09
Manufacturing mass layoff initial claims
Jan‐10
Jan‐11
Jan‐12
0.0
Jan‐13
Unemployment rate
The national unemployment rate was 7.9 percent in January, essentially unchanged from the prior month
and down from 8.3 percent a year earlier. Total nonfarm payroll employment increased by 157,000 over
the month and by 2,016,000 over the year.
Industry Distribution (Not Seasonally Adjusted)
The number of mass layoff events in January was 1,528, not seasonally adjusted, resulting in 144,517
initial claims for unemployment insurance. (See table 2.) Over the year, the number of average weekly
mass layoff events for January decreased by 44 to 382, while associated average weekly initial claims
increased by 703 to 36,129. Eight of the 19 major industry sectors in the private economy reported overthe-year increases in average weekly initial claims, with the largest increase occurring in manufacturing.
(See table 3.) The six-digit industry with the largest number of private nonfarm initial claims due to
mass layoffs in January was temporary help services. (See table A.)
In January, the manufacturing sector accounted for 31 percent of mass layoff events and 37 percent of
Table A. Six-digit NAICS industries with the largest number of mass layoff initial claims
in January 2013, private nonfarm, not seasonally adjusted
January peak
Industry
Initial claims
Year
Initial claims
1
Temporary help services ........................................
Highway, street, and bridge construction ...................
Discount department stores ......................................
1
Professional employer organizations .......................
Motion picture and video production ........................
School and employee bus transportation ...................
Food service contractors ..........................................
Payroll services ........................................................
Poultry processing ....................................................
Warehouse clubs and supercenters ...........................
1
14,937
3,772
3,440
3,274
3,242
2,520
2,316
2,266
2,046
2,009
1998
2000
2010
2009
1998
2010
2011
2002
2013
2011
26,224
9,680
8,065
11,345
12,038
15,131
3,439
8,686
2,046
3,508
See the Technical Note for more information on these industries.
associated initial claims in the private economy. Within manufacturing, the numbers of mass layoff
claimants were highest in transportation equipment and in food. Eleven of the 21 manufacturing
subsectors experienced over-the-year increases in average weekly initial claims. (See table 3.)
Geographic Distribution (Not Seasonally Adjusted)
Among the census regions, the South had the largest number of initial claims due to mass layoffs in
January. Three of the 4 regions experienced over-the-year increases in average weekly initial claims,
with the largest increase occurring in the South. (See table 4.)
Among the states, California had the highest number of mass layoff initial claims in January, followed
by North Carolina, Alabama, and New York. Twenty-five states experienced over-the-year increases in
average weekly initial claims, led by California and North Carolina. (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 new release for February 2013 is scheduled to be released on Friday, March 22,
2013, at 10:00 a.m. (EDT).
-2-
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.
The monthly data present preliminary mass layoff
activity in the reference month and are not revised in
subsequent months except in special circumstances (e.g.,
layoffs in states affected by Hurricane Katrina). Counts of
initial claims associated with mass layoff events reflect
activity through the end of the reference month. Additional
mass layoff event and initial claims activity received after
data for the reference month have been published by BLS are
not updated in the monthly mass layoff series and, therefore,
may not match revised mass layoff data issued in state
publications. However, any additional mass layoff
information meeting the extended mass layoff criteria will be
reflected in BLS’ quarterly publication of extended mass
layoff data.
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 2009 to January 2013,
seasonally adjusted
Total
Date
Events
Private nonfarm
Initial
claimants
Events
Initial
claimants
Manufacturing
Events
Initial
claimants
2009
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
3,079
3,022
2,537
2,712
2,470
2,184
2,358
2,274
1,970
1,764
1,720
334,171
304,175
246,938
286,089
248,680
222,776
218,380
216,959
196,370
159,283
155,738
2,921
2,827
2,332
2,522
2,261
1,976
2,119
2,054
1,775
1,598
1,549
318,194
287,023
231,211
270,051
231,529
203,347
198,877
200,863
178,648
146,802
141,699
1,274
1,261
1,022
1,206
1,063
639
743
754
567
469
425
152,592
158,119
114,682
151,114
140,105
76,345
75,387
90,250
64,681
51,887
44,455
2010
January ..........................................................
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
1,699
1,647
1,703
1,622
1,585
1,701
1,521
1,612
1,526
1,661
1,584
1,476
169,561
161,694
153,784
154,962
150,959
152,080
137,750
162,455
137,074
149,985
153,394
136,252
1,522
1,480
1,501
1,442
1,345
1,481
1,315
1,409
1,303
1,454
1,407
1,277
155,298
147,259
138,188
138,849
131,482
133,366
121,313
138,849
117,582
132,373
138,925
121,849
461
387
373
378
317
335
303
384
310
349
353
322
53,303
47,272
43,022
44,860
31,677
34,653
32,064
41,123
33,906
38,157
38,097
36,611
2011
January ..........................................................
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
1,522
1,456
1,307
1,526
1,573
1,522
1,566
1,585
1,463
1,349
1,312
1,392
150,406
137,938
119,691
145,315
144,824
144,060
144,543
168,266
150,165
118,135
123,078
144,661
1,335
1,263
1,156
1,366
1,387
1,342
1,347
1,364
1,319
1,220
1,177
1,247
132,659
123,141
106,721
130,841
129,296
129,136
123,815
153,081
136,564
106,478
113,239
129,994
327
312
269
352
399
359
342
374
346
335
312
346
37,431
30,036
31,699
37,177
42,238
38,630
35,458
46,267
37,505
32,310
33,715
38,469
2012
January ..........................................................
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
1,435
1,275
1,290
1,403
1,370
1,320
1,354
1,297
1,346
1,400
1,749
1,509
129,169
120,199
125,195
138,164
131,603
133,080
138,694
130,266
125,692
136,153
172,879
137,839
1,298
1,134
1,141
1,235
1,220
1,178
1,217
1,172
1,223
1,249
1,574
1,334
118,127
109,458
112,889
122,236
119,788
120,857
128,186
120,391
116,792
125,026
159,872
125,505
325
283
269
294
277
282
355
322
365
346
412
330
32,503
28,236
28,300
34,929
31,873
31,737
43,427
39,389
40,287
42,927
47,171
35,211
2013
January ..........................................................
1,328
134,026
1,197
123,088
357
43,068
Table 2. Mass layoff events and initial claimants for unemployment insurance, February 2009 to January 2013,
not seasonally adjusted
Total
Date
Events
Private nonfarm
Initial
claimants
Events
Initial
claimants
Manufacturing
Events
Initial
claimants
2009
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
2,262
2,191
2,547
2,738
2,519
3,054
1,428
1,371
1,934
1,870
2,310
218,438
228,387
256,930
289,628
256,357
336,654
125,024
123,177
193,904
164,496
214,648
2,173
2,107
2,385
2,572
2,051
2,659
1,334
1,258
1,678
1,679
2,166
210,755
221,397
243,321
274,047
216,063
296,589
117,193
115,141
172,883
150,751
203,655
945
940
887
1,005
674
1,133
436
448
566
517
615
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 ..........................................................
February ........................................................
March .............................................................
April ...............................................................
May ................................................................
June ...............................................................
July ................................................................
August ...........................................................
September .....................................................
October ..........................................................
November ......................................................
December ......................................................
1,705
895
1,125
1,421
1,201
1,890
1,515
1,063
811
1,142
2,339
1,973
141,703
73,974
117,817
146,358
109,259
198,537
157,753
104,045
70,570
109,829
249,949
187,137
1,587
820
1,040
1,293
1,081
1,485
1,321
992
749
968
2,078
1,822
132,754
69,076
110,954
132,697
100,434
158,334
144,340
97,694
66,214
97,390
228,124
177,452
415
196
242
256
186
255
559
251
221
277
551
477
38,021
16,555
24,241
32,518
18,800
28,570
74,963
31,193
22,748
37,702
72,690
50,686
2013
January ..........................................................
1,528
144,517
1,424
135,970
455
50,793
Table 3. Industry distribution: Mass layoff events and initial claimants for unemployment insurance, not seasonally adjusted
Average weekly mass layoffs1
Events
Initial claimants
Mass layoff totals
Industry
Events
Initial claimants
January
January
January
January
January
January
January
January
2012
2013
2012
2013
2012
2013
2012
2013
1,705
1,634
47
1,528
1,466
42
141,703
135,663
2,909
144,517
139,018
3,048
426
409
12
382
367
11
35,426
33,916
727
36,129
34,755
762
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 .................................
1,587
16
4
194
33
69
92
415
56
1,424
11
132,754
1,019
350
13,743
2,429
4,786
6,528
38,021
4,964
135,970
811
397
4
1
49
8
17
23
104
14
356
3
33,189
255
88
3,436
607
1,197
1,632
9,505
1,241
33,993
203
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 ................................................................
29
181
16
31
16
77
137
27
75
5
33
30
4
45
6
276
17
36
33
114
42
72
12
5
Government ....................................................................
Federal .......................................................................
State ...........................................................................
State government education ..................................
Local ...........................................................................
Local government education .................................
71
13
25
9
33
12
2
Total .......................................................................
Total, private ...................................................................
Agriculture, forestry, fishing and hunting ....................
1
3
( )
20
5
17
(3)
35
8
16
4
13
24
36
15
23
22
15
11
47
30
13
3
( )
188
21
88
79
455
58
3
( )
35
5
16
4
26
5
5
(3)
10
20
19
26
29
34
15
18
86
32
7
28
136
8
25
14
52
87
22
35
7
36
25
3
41
7
237
10
23
32
86
29
57
12
(3)
62
9
19
8
34
12
3
( )
13,212
1,513
6,544
5,155
50,793
6,530
3
3
( )
2,274
444
1,899
(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
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
( )
4,550
403
2,149
485
2,517
314
483
(3)
849
1,761
1,317
2,274
2,522
5,404
1,287
2,099
11,930
3,047
488
2,334
13,622
1,011
1,882
945
7,502
6,419
1,268
2,667
603
5,477
2,226
178
5,684
976
22,170
609
1,461
2,455
6,391
2,345
4,046
805
(3)
5,499
933
1,435
443
3,131
1,350
6,040
1,196
2,576
602
2,268
788
3
( )
5
1
4
(3)
9
2
4
1
3
6
9
4
6
6
4
3
12
8
3
7
45
4
8
4
19
34
7
19
1
8
8
1
11
2
69
4
9
8
29
11
18
3
1
18
3
6
2
8
3
3
( )
47
5
22
20
114
15
3
( )
9
1
4
1
7
1
1
(3)
3
5
5
7
7
9
4
5
22
8
2
7
34
2
6
4
13
22
6
9
2
9
6
1
10
2
59
3
6
8
22
7
14
3
(3)
16
2
5
2
9
3
3
( )
569
111
475
(3)
676
208
337
68
266
483
642
412
411
485
219
449
1,492
593
278
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
1,510
299
644
151
567
197
3
( )
3,303
378
1,636
1,289
12,698
1,633
3
( )
1,138
101
537
121
629
79
121
(3)
212
440
329
569
631
1,351
322
525
2,983
762
122
584
3,406
253
471
236
1,876
1,605
317
667
151
1,369
557
45
1,421
244
5,543
152
365
614
1,598
586
1,012
201
(3)
1,375
233
359
111
783
338
2
Data were reported by all states and the District of Columbia.
lengths of months. There were 4 weeks in January 2012
3
Data do not meet BLS or state agency disclosure standards.
and 4 weeks in January 2013. Average weekly events
4
Includes other industries not shown.
and initial claimants may not sum to subtotals and totals
NOTE: Dash represents zero.
Average weekly analysis mitigates the effect of differing
due to rounding.
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
2012
January
2013
January
2012
January
2013
January
2012
January
2013
January
2012
January
2013
Total ² ................................................
1,705
1,528
141,703
144,517
426
382
35,426
36,129
Northeast .............................................
Connecticut ......................................
Maine ...............................................
Massachusetts .................................
New Hampshire ...............................
New Jersey ......................................
New York .........................................
Pennsylvania ...................................
Rhode Island ....................................
Vermont ...........................................
386
8
8
18
7
51
166
120
5
3
272
11
10
7
36
97
105
34,860
547
658
1,821
504
4,273
17,607
8,912
318
220
21,049
771
899
587
2,933
8,000
7,265
97
2
2
5
2
13
42
30
1
1
68
3
3
2
9
24
26
8,715
137
165
455
126
1,068
4,402
2,228
80
55
5,262
193
225
147
733
2,000
1,816
South ...................................................
Alabama ...........................................
Arkansas ..........................................
Delaware ..........................................
District of Columbia ..........................
Florida ..............................................
Georgia ............................................
Kentucky ..........................................
Louisiana .........................................
Maryland 4 ........................................
Mississippi .......................................
North Carolina ..................................
Oklahoma ........................................
South Carolina .................................
Tennessee .......................................
Texas ...............................................
Virginia .............................................
West Virginia ....................................
496
55
19
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 ......................................
1
(3)
(3)
515
82
15
124
14
5
(3)
(3)
129
21
4
10,981
1,622
347
(3)
(3)
13,159
2,109
491
(3)
(3)
3
56
63
24
9
21
9
100
3
47
14
35
31
(3)
263
6,044
4,097
2,847
518
624
737
7,468
443
3,475
1,820
3,981
3,362
(3)
259
3,784
6,616
1,738
545
1,539
434
11,999
241
6,739
934
3,611
3,583
(3)
(3)
1
14
16
6
2
5
2
25
1
12
4
9
8
(3)
66
1,511
1,024
712
130
156
184
1,867
111
869
455
995
841
(3)
65
946
1,654
435
136
385
109
3,000
60
1,685
234
903
896
(3)
386
55
40
17
8
53
20
42
(3)
339
53
22
22
7
54
13
41
(3)
31,060
4,823
3,594
1,271
815
3,962
1,591
2,860
(3)
31,994
6,251
2,138
2,045
622
3,727
1,039
4,037
(3)
97
14
10
4
2
13
5
11
(3)
85
13
6
6
2
14
3
10
(3)
7,765
1,206
899
318
204
991
398
715
(3)
7,999
1,563
535
511
156
932
260
1,009
(3)
(3)
67
78
(3)
(3)
62
57
(3)
(3)
5,630
6,014
(3)
(3)
6,460
4,994
(3)
(3)
17
20
(3)
(3)
16
14
(3)
(3)
1,408
1,504
(3)
(3)
1,615
1,249
402
31,858
731
38,840
109
2
101
7,965
183
4
87
41
33
8
10
13
84
6
32
24
51
25
437
8
(3)
342
5
4
6
5
14
5
19
7
18
(3)
15
(3)
5
303
11
6
9
7
11
23
7
17
(3)
23,787
556
316
445
503
1,323
299
1,699
514
1,446
(3)
585
29,088
1,787
453
670
543
950
2,880
526
1,167
(3)
15
(3)
1,205
(3)
1,383
See footnote 1, table 3.
See footnote 2, table 3.
3
Data do not meet BLS or state agency disclosure standards.
2
43,925
6,489
1,389
(3)
(3)
52,634
8,434
1,963
4
1
22
10
8
2
3
3
21
2
8
6
13
6
(3)
86
1
1
2
1
4
1
5
2
5
(3)
(3)
1
76
3
2
2
2
3
6
2
4
(3)
4
4
9,710
(3)
5,947
139
79
111
126
331
75
425
129
362
(3)
146
7,272
447
113
168
136
238
720
132
292
(3)
301
(3)
346
Data starting in June 2012 may not be comparable to prior data
due to a change in MLS unemployment insurance procedures.
NOTE: Dash represents zero.