For release 10:00 a.m. (EDT) Friday, June 21, 2013 USDL-13-1179
Technical information: (202) 691-6392 * mlsinfo@bls.gov * www.bls.gov/mls
Media contact: (202) 691-5902 * PressOffice@bls.gov
MASS LAYOFFS -- MAY 2013
Employers took 1,301 mass layoff actions in May involving 127,821 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 increased by
102 from April, and the number of associated initial claims increased by 10,972. In
May, 276 mass layoff events occurred in the manufacturing sector resulting in 33,527
initial claims. Monthly mass layoff events are identified using administrative data
sources without regard to layoff duration. (See table 1 and the note at the end of this
release.)
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| |
| Mass Layoffs Data Discontinued |
| |
| On March 1, 2013, President Obama ordered into effect the across-the- |
| board spending cuts (commonly referred to as sequestration) required |
| by the Balanced Budget and Emergency Deficit Control Act, as amended. |
| Under the order, the Bureau of Labor Statistics (BLS) must cut its |
| current budget by more than $30 million, 5 percent of the current 2013 |
| appropriation, by September 30, 2013. In order to help achieve these |
| savings and protect core programs, the BLS will eliminate two |
| programs, including Mass Layoff Statistics, and all "measuring green |
| jobs" products. This news release is the final publication of monthly |
| mass layoff survey data. |
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The national unemployment rate was 7.6 percent in May, essentially unchanged from the
prior month and down from 8.2 percent a year earlier. Total nonfarm payroll employment
increased by 175,000 over the month, and increased by 2,115,000 over the year.
Industry Distribution (Not Seasonally Adjusted)
The number of mass layoff events in May was 1,383, not seasonally adjusted, resulting
in 134,483 initial claims for unemployment insurance. (See table 2.) Over the year,
the number of average weekly mass layoff events for May decreased by 23 to 277, and
associated average weekly initial claims decreased by 418 to 26,897. Ten 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 retail trade
and information. (See table 3.) Temporary help services was the six-digit industry
with the largest number of private nonfarm initial claims due to mass layoffs in May.
(See table A.)
Table A. Six-digit NAICS industries with the largest number of mass layoff initial claims
in May 2013, private nonfarm, not seasonally adjusted
Industry May peak
Initial claims Year Initial claims
Temporary help services (1) ............... 11,779 2002 16,992
Food service contractors .................. 10,421 2009 11,216
Child day care services ................... 10,327 2013 10,327
Construction machinery manufacturing ...... 4,084 2013 4,084
School and employee bus transportation .... 2,783 2008 6,323
Other individual and family services ...... 2,427 2013 2,427
Motion picture and video production ....... 2,222 1999 8,985
Professional employer organizations (1) ... 2,189 2009 5,898
Discount department stores ................ 1,880 2002 3,981
Supermarkets and other grocery stores ..... 1,851 1996 4,492
1 See the Technical Note for more information on these industries.
The manufacturing sector accounted for 18 percent of mass layoff events and 21 percent of the
associated initial claims in the private economy in May. Within manufacturing, the numbers of
mass layoff claimants were highest in machinery and in food. Eleven of the 21 manufacturing
subsectors experienced over-the-year decreases 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 May. 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 May,
followed by Illinois, Pennsylvania, and Texas. Twenty-eight states and the District of
Columbia experienced over-the-year decreases in average weekly initial claims, led by
Missouri and New York. (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. 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.
Technical Note
The Mass Layoff Statistics (MLS) program is a federal-state 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 employers 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-12-ARIMA 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-12-ARIMA program and are permanently removed from
the final seasonally adjusted series.
Table 1. Mass layoff events and initial claimants for unemployment insurance, June 2009 to
May 2013, seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2009
June ....................... 2,470 248,680 2,261 231,529 1,063 140,105
July ....................... 2,184 222,776 1,976 203,347 639 76,345
August ..................... 2,358 218,380 2,119 198,877 743 75,387
September .................. 2,274 216,959 2,054 200,863 754 90,250
October .................... 1,970 196,370 1,775 178,648 567 64,681
November ................... 1,764 159,283 1,598 146,802 469 51,887
December ................... 1,720 155,738 1,549 141,699 425 44,455
2010
January .................... 1,699 169,561 1,522 155,298 461 53,303
February ................... 1,647 161,694 1,480 147,259 387 47,272
March ...................... 1,703 153,784 1,501 138,188 373 43,022
April ...................... 1,622 154,962 1,442 138,849 378 44,860
May ........................ 1,585 150,959 1,345 131,482 317 31,677
June ....................... 1,701 152,080 1,481 133,366 335 34,653
July ....................... 1,521 137,750 1,315 121,313 303 32,064
August ..................... 1,612 162,455 1,409 138,849 384 41,123
September .................. 1,526 137,074 1,303 117,582 310 33,906
October .................... 1,661 149,985 1,454 132,373 349 38,157
November ................... 1,584 153,394 1,407 138,925 353 38,097
December ................... 1,476 136,252 1,277 121,849 322 36,611
2011
January .................... 1,522 150,406 1,335 132,659 327 37,431
February ................... 1,456 137,938 1,263 123,141 312 30,036
March ...................... 1,307 119,691 1,156 106,721 269 31,699
April ...................... 1,526 145,315 1,366 130,841 352 37,177
May ........................ 1,573 144,824 1,387 129,296 399 42,238
June ....................... 1,522 144,060 1,342 129,136 359 38,630
July ....................... 1,566 144,543 1,347 123,815 342 35,458
August ..................... 1,585 168,266 1,364 153,081 374 46,267
September .................. 1,463 150,165 1,319 136,564 346 37,505
October .................... 1,349 118,135 1,220 106,478 335 32,310
November ................... 1,312 123,078 1,177 113,239 312 33,715
December ................... 1,392 144,661 1,247 129,994 346 38,469
2012
January .................... 1,435 129,169 1,298 118,127 325 32,503
February ................... 1,275 120,199 1,134 109,458 283 28,236
March ...................... 1,290 125,195 1,141 112,889 269 28,300
April ...................... 1,403 138,164 1,235 122,236 294 34,929
May ........................ 1,370 131,603 1,220 119,788 277 31,873
June ....................... 1,320 133,080 1,178 120,857 282 31,737
July ....................... 1,354 138,694 1,217 128,186 355 43,427
August ..................... 1,297 130,266 1,172 120,391 322 39,389
September .................. 1,346 125,692 1,223 116,792 365 40,287
October .................... 1,400 136,153 1,249 125,026 346 42,927
November ................... 1,749 172,879 1,574 159,872 412 47,171
December ................... 1,509 137,839 1,334 125,505 330 35,211
2013
January .................... 1,328 134,026 1,197 123,088 357 43,068
February ................... 1,422 135,468 1,218 119,856 295 39,407
March ...................... 1,337 127,939 1,183 115,664 311 36,696
April ...................... 1,199 116,849 1,051 104,746 293 29,744
May ........................ 1,301 127,821 1,134 115,260 276 33,527
Table 2. Mass layoff events and initial claimants for unemployment insurance, June 2009 to
May 2013, not seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2009
June ....................... 2,519 256,357 2,051 216,063 674 85,726
July ....................... 3,054 336,654 2,659 296,589 1,133 154,208
August ..................... 1,428 125,024 1,334 117,193 436 41,151
September .................. 1,371 123,177 1,258 115,141 448 51,126
October .................... 1,934 193,904 1,678 172,883 566 69,655
November ................... 1,870 164,496 1,679 150,751 517 55,053
December ................... 2,310 214,648 2,166 203,655 615 64,540
2010
January .................... 2,860 278,679 2,682 265,074 962 104,846
February ................... 1,183 102,818 1,091 96,022 282 30,728
March ...................... 1,197 111,727 1,111 105,514 273 29,745
April ...................... 1,840 199,690 1,697 184,654 424 55,178
May ........................ 1,354 123,333 1,170 109,203 216 19,334
June ....................... 1,861 171,190 1,355 125,872 212 21,083
July ....................... 2,124 206,254 1,732 172,248 532 64,200
August ..................... 976 92,435 897 83,021 230 23,088
September .................. 920 77,654 806 67,987 187 19,403
October .................... 1,642 148,638 1,373 127,865 351 40,861
November ................... 1,676 158,048 1,477 142,591 389 41,383
December ................... 1,931 184,130 1,763 172,881 465 52,816
2011
January .................... 2,558 246,463 2,372 229,765 693 75,006
February ................... 1,024 85,585 919 78,718 222 18,471
March ...................... 908 85,095 844 80,014 191 20,869
April ...................... 1,750 189,919 1,625 176,478 397 47,104
May ........................ 1,367 119,911 1,221 108,531 270 25,199
June ....................... 1,661 159,930 1,238 122,821 226 22,986
July ....................... 2,176 216,774 1,759 174,078 602 71,814
August ..................... 961 99,213 875 93,159 228 26,916
September .................. 1,189 117,232 1,095 107,300 296 32,058
October .................... 1,101 96,914 950 83,748 265 28,447
November ................... 1,393 127,750 1,245 117,474 349 37,799
December ................... 2,433 263,665 2,258 247,916 658 75,033
2012
January .................... 1,705 141,703 1,587 132,754 415 38,021
February ................... 895 73,974 820 69,076 196 16,555
March ...................... 1,125 117,817 1,040 110,954 242 24,241
April ...................... 1,421 146,358 1,293 132,697 256 32,518
May ........................ 1,201 109,259 1,081 100,434 186 18,800
June ....................... 1,890 198,537 1,485 158,334 255 28,570
July ....................... 1,515 157,753 1,321 144,340 559 74,963
August ..................... 1,063 104,045 992 97,694 251 31,193
September .................. 811 70,570 749 66,214 221 22,748
October .................... 1,142 109,829 968 97,390 277 37,702
November ................... 2,339 249,949 2,078 228,124 551 72,690
December ................... 1,973 187,137 1,822 177,452 477 50,686
2013
January .................... 1,528 144,517 1,424 135,970 455 50,793
February ................... 960 79,786 846 72,391 192 21,630
March ...................... 1,132 114,897 1,048 108,200 268 28,923
April ...................... 1,174 119,196 1,068 109,105 248 25,780
May ........................ 1,383 134,483 1,218 121,545 221 26,125
Table 3. Industry distribution: Mass layoff events and initial claimants for unemployment insurance, not seasonally adjusted
Industry Mass layoff totals Average weekly mass layoffs (1)
Events Initial claimants Events Initial claimants
May May May May May May May May
2012 2013 2012 2013 2012 2013 2012 2013
Total (2) .................................. 1,201 1,383 109,259 134,483 300 277 27,315 26,897
Total, private ................................... 1,099 1,255 101,354 123,833 275 251 25,339 24,767
Agriculture, forestry, fishing and hunting ... 18 37 920 2,288 5 7 230 458
Total, private nonfarm ......................... 1,081 1,218 100,434 121,545 270 244 25,109 24,309
Mining ....................................... 5 5 262 353 1 1 66 71
Utilities .................................... (3) 3 (3) 243 (3) 1 (3) 49
Construction ................................. 129 135 9,617 11,463 32 27 2,404 2,293
Construction of buildings ................ 26 23 2,250 2,064 7 5 563 413
Heavy and civil engineering construction . 40 49 3,198 4,677 10 10 800 935
Specialty trade contractors .............. 63 63 4,169 4,722 16 13 1,042 944
Manufacturing ................................ 186 221 18,800 26,125 47 44 4,700 5,225
Food ..................................... 48 57 4,487 6,040 12 11 1,122 1,208
Beverage and tobacco products ............ (3) (3) (3) (3) (3) (3) (3) (3)
Textile mills ............................ 7 7 685 523 2 1 171 105
Textile product mills .................... 4 4 266 371 1 1 67 74
Apparel .................................. 10 8 711 664 3 2 178 133
Leather and allied products .............. - - - - - - - -
Wood products ............................ 4 6 262 530 1 1 66 106
Paper .................................... 6 6 628 554 2 1 157 111
Printing and related support activities .. 16 4 1,373 307 4 1 343 61
Petroleum and coal products .............. - (3) - (3) - (3) - (3)
Chemicals ................................ 5 5 546 385 1 1 137 77
Plastics and rubber products ............. 5 5 300 469 1 1 75 94
Nonmetallic mineral products ............. 5 3 488 195 1 1 122 39
Primary metals ........................... 9 16 641 1,125 2 3 160 225
Fabricated metal products ................ 6 12 384 804 2 2 96 161
Machinery ................................ 12 29 1,175 7,155 3 6 294 1,431
Computer and electronic products ......... 12 11 913 729 3 2 228 146
Electrical equipment and appliances ...... 4 5 723 551 1 1 181 110
Transportation equipment ................. 19 22 3,836 4,020 5 4 959 804
Furniture and related products ........... 9 11 1,049 1,041 2 2 262 208
Miscellaneous manufacturing .............. (3) 5 (3) 329 (3) 1 (3) 66
Wholesale trade .............................. 16 26 976 1,674 4 5 244 335
Retail trade (4) ............................. 117 103 11,529 9,008 29 21 2,882 1,802
Building material and garden supply stores 8 8 767 759 2 2 192 152
Food and beverage stores ................. 18 22 1,302 1,851 5 4 326 370
Clothing and clothing accessories stores . 14 8 773 500 4 2 193 100
General merchandise stores ............... 49 32 6,414 3,534 12 6 1,604 707
Transportation and warehousing (4) ........... 38 45 4,628 5,188 10 9 1,157 1,038
Truck transportation ..................... 7 8 362 552 2 2 91 110
Transit and ground passenger
transportation ......................... 13 21 2,844 3,338 3 4 711 668
Support activities for transportation .... 3 (3) 161 (3) 1 (3) 40 (3)
Information .................................. 39 43 5,349 4,020 10 9 1,337 804
Finance and insurance ........................ 31 18 2,478 1,273 8 4 620 255
Real estate and rental and leasing ........... 4 7 428 540 1 1 107 108
Professional and technical services .......... 56 64 3,780 6,685 14 13 945 1,337
Management of companies and enterprises ...... 4 4 516 407 1 1 129 81
Administrative and waste services ............ 169 207 12,483 17,588 42 41 3,121 3,518
Educational services ......................... 11 12 843 980 3 2 211 196
Health care and social assistance ............ 95 133 9,725 15,256 24 27 2,431 3,051
Arts, entertainment, and recreation .......... 26 28 1,920 1,720 7 6 480 344
Accommodation and food services .............. 120 130 14,142 15,553 30 26 3,536 3,111
Accommodation ............................ 13 14 970 972 3 3 243 194
Food services and drinking places ........ 107 116 13,172 14,581 27 23 3,293 2,916
Other services, except public administration . 29 31 2,595 3,162 7 6 649 632
Unclassified ................................. (3) 3 (3) 307 (3) 1 (3) 61
Government ....................................... 102 128 7,905 10,650 26 26 1,976 2,130
Federal ...................................... 7 8 519 782 2 2 130 156
State ........................................ 24 36 1,856 2,902 6 7 464 580
State government education .............. 15 23 1,008 1,672 4 5 252 334
Local ........................................ 71 84 5,530 6,966 18 17 1,383 1,393
Local government education .............. 37 52 2,359 3,935 9 10 590 787
1 Average weekly analysis mitigates the effect of differing lengths of months. There were 4 weeks in May 2012 and 5 weeks in May 2013.
Average weekly events and initial claimants may not sum to subtotals and totals due to rounding.
2 Data were reported by all states and the District of Columbia.
3 Data do not meet BLS or state agency disclosure standards.
4 Includes other industries not shown.
NOTE: Dash represents zero.
Table 4. Region and state distribution: Mass layoff events and initial claimants for unemployment insurance,
not seasonally adjusted
Census region and state Mass layoff totals Average weekly mass layoffs (1)
Events Initial claimants Events Initial claimants
May May May May May May May May
2012 2013 2012 2013 2012 2013 2012 2013
Total (2) ............... 1,201 1,383 109,259 134,483 300 277 27,315 26,897
Northeast .................. 197 182 18,817 16,595 49 36 4,704 3,319
Connecticut ............ 11 6 864 441 3 1 216 88
Maine .................. (3) (3) (3) (3) (3) (3) (3) (3)
Massachusetts .......... 9 5 1,142 338 2 1 286 68
New Hampshire .......... (3) (3) (3) (3) (3) (3) (3) (3)
New Jersey ............. 22 21 1,967 2,033 6 4 492 407
New York ............... 65 52 6,199 5,099 16 10 1,550 1,020
Pennsylvania ........... 79 87 7,483 7,450 20 17 1,871 1,490
Rhode Island ........... 4 3 439 181 1 1 110 36
Vermont ................ 3 5 334 672 1 1 84 134
South ...................... 358 428 33,270 45,661 90 86 8,318 9,132
Alabama ................ 13 28 1,019 2,411 3 6 255 482
Arkansas ............... 9 12 1,031 1,398 2 2 258 280
Delaware ............... (3) 4 (3) 250 (3) 1 (3) 50
District of Columbia ... 3 3 187 177 1 1 47 35
Florida ................ 75 78 4,621 4,914 19 16 1,155 983
Georgia ................ 28 33 2,906 4,629 7 7 727 926
Kentucky ............... 20 18 1,886 2,193 5 4 472 439
Louisiana .............. 21 16 1,884 2,154 5 3 471 431
Maryland (4) ........... 9 16 706 1,531 2 3 177 306
Mississippi ............ 28 26 3,961 4,634 7 5 990 927
North Carolina ......... 46 54 4,247 6,177 12 11 1,062 1,235
Oklahoma ............... 5 3 361 214 1 1 90 43
South Carolina ......... 4 11 327 1,570 1 2 82 314
Tennessee .............. 20 24 1,762 3,070 5 5 441 614
Texas .................. 53 76 5,130 7,419 13 15 1,283 1,484
Virginia ............... 21 23 3,038 2,688 5 5 760 538
West Virginia .......... (3) 3 (3) 232 (3) 1 (3) 46
Midwest .................... 249 292 26,349 33,002 62 58 6,587 6,600
Illinois ............... 64 60 7,361 11,153 16 12 1,840 2,231
Indiana ................ 23 27 2,078 2,285 6 5 520 457
Iowa ................... 12 13 1,208 1,179 3 3 302 236
Kansas ................. 11 11 1,092 1,603 3 2 273 321
Michigan ............... 22 41 1,922 4,333 6 8 481 867
Minnesota .............. (3) 16 (3) 1,565 (3) 3 (3) 313
Missouri ............... 28 37 4,491 2,723 7 7 1,123 545
Nebraska ............... 9 7 924 903 2 1 231 181
North Dakota ........... (3) (3) (3) (3) (3) (3) (3) (3)
Ohio ................... 37 44 3,401 3,547 9 9 850 709
South Dakota ........... (3) (3) (3) (3) (3) (3) (3) (3)
Wisconsin .............. 35 31 3,298 3,268 9 6 825 654
West ....................... 397 481 30,823 39,225 99 96 7,706 7,845
Alaska ................. 7 8 619 657 2 2 155 131
Arizona ................ 14 15 1,245 1,262 4 3 311 252
California ............. 307 377 22,995 30,069 77 75 5,749 6,014
Colorado ............... 10 9 902 930 3 2 226 186
Hawaii ................. (3) 8 (3) 622 (3) 2 (3) 124
Idaho .................. 3 (3) 201 (3) 1 (3) 50 (3)
Montana ................ 3 6 223 422 1 1 56 84
Nevada ................. 11 13 859 1,102 3 3 215 220
New Mexico ............. 11 10 999 836 3 2 250 167
Oregon ................. 15 19 1,416 2,057 4 4 354 411
Utah ................... 5 (3) 366 (3) 1 (3) 92 (3)
Washington ............. 8 9 736 733 2 2 184 147
Wyoming ................ (3) - (3) - (3) - (3) -
Puerto Rico ............ 5 8 504 923 1 2 126 185
1 See footnote 1, table 3.
2 See footnote 2, table 3.
3 Data do not meet BLS or state agency disclosure standards.
4 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.
United States Department of Labor
