For release 10:00 a.m. (EDT) Wednesday, May 22, 2013 USDL-13-0990
Technical information: (202) 691-6392 * mlsinfo@bls.gov * www.bls.gov/mls
Media contact: (202) 691-5902 * PressOffice@bls.gov
MASS LAYOFFS -- APRIL 2013
Employers took 1,199 mass layoff actions in April involving 116,849 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
138 from March, and the number of associated initial claims decreased by 11,090. In
April, 293 mass layoff events occurred in the manufacturing sector resulting in 29,744
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.)
The national unemployment rate was 7.5 percent in April, essentially unchanged from the
prior month and down from 8.1 percent a year earlier. Total nonfarm payroll employment
increased by 165,000 over the month, and increased by 2,077,000 over the year.
Industry Distribution (Not Seasonally Adjusted)
The number of mass layoff events in April was 1,174, not seasonally adjusted, resulting
in 119,196 initial claims for unemployment insurance. (See table 2.) Over the year,
the number of average weekly mass layoff events for April decreased by 61 to 294, and
associated average weekly initial claims decreased by 6,791 to 29,799. Fourteen 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 transportation and
warehousing. (See table 3.) School and employee bus transportation was the six-digit
industry with the largest number of private nonfarm initial claims due to mass layoffs
in April. (See table A.)
Table A. Six-digit NAICS industries with the largest number of mass layoff initial claims
in April 2013, private nonfarm, not seasonally adjusted
Industry April peak
Initial claims Year Initial claims
School and employee bus transportation .... 10,210 2011 23,573
Temporary help services (1) ............... 8,778 2001 17,507
Motion picture and video production ....... 7,632 1997 15,908
Tax preparation services .................. 3,997 2010 6,514
Food service contractors .................. 3,723 2011 10,948
Hotels and motels, except casino hotels ... 2,580 2010 4,130
Discount department stores ................ 2,253 2009 4,462
Skiing facilities ......................... 2,077 2010 2,640
Payroll services .......................... 1,980 2000 5,165
Warehouse clubs and supercenters .......... 1,885 2010 2,466
1 See the Technical Note for more information on these industries.
The manufacturing sector accounted for 22 percent of mass layoff events and associated
initial claims in the private economy in April. Within manufacturing, the numbers of mass
layoff claimants were highest in food and in machinery. Nine 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 West had the largest number of initial claims due to mass
layoffs in April. Three of the 4 regions experienced over-the-year decreases in average
weekly initial claims, with the largest decrease occurring in the Northeast. (See
table 4.)
Among the states, California had the highest number of mass layoff initial claims in
April, followed by New York, Pennsylvania, and North Carolina. Thirty-one states
experienced over-the-year decreases in average weekly initial claims, led by New York
and New Jersey. (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.
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The Mass Layoffs news release for May 2013 is scheduled to be released on Friday,
June 21, 2013, at 10:00 a.m. (EDT).
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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. The |
|final release of Mass Layoffs Statistics data will occur on June 21st, with |
|publication of the May 2013 data. |
| |
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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, May 2009 to
April 2013, seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2009
May ........................ 2,712 286,089 2,522 270,051 1,206 151,114
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
Table 2. Mass layoff events and initial claimants for unemployment insurance, May 2009
to April 2013, not seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2009
May .............. 2,738 289,628 2,572 274,047 1,005 123,683
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
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
April April April April April April April April
2012 2013 2012 2013 2012 2013 2012 2013
Total (2) .................................. 1,421 1,174 146,358 119,196 355 294 36,590 29,799
Total, private ................................... 1,378 1,125 140,376 114,638 345 281 35,094 28,660
Agriculture, forestry, fishing and hunting ... 85 57 7,679 5,533 21 14 1,920 1,383
Total, private nonfarm ......................... 1,293 1,068 132,697 109,105 323 267 33,174 27,276
Mining ....................................... 7 8 774 687 2 2 194 172
Utilities .................................... (3) - (3) - (3) - (3) -
Construction ................................. 138 97 9,720 7,185 35 24 2,430 1,796
Construction of buildings ................ 28 15 1,845 1,047 7 4 461 262
Heavy and civil engineering construction . 45 34 3,066 2,527 11 9 767 632
Specialty trade contractors .............. 65 48 4,809 3,611 16 12 1,202 903
Manufacturing ................................ 256 248 32,518 25,780 64 62 8,130 6,445
Food ..................................... 86 75 8,735 8,477 22 19 2,184 2,119
Beverage and tobacco products ............ 5 (3) 293 (3) 1 (3) 73 (3)
Textile mills ............................ 24 8 3,246 760 6 2 812 190
Textile product mills .................... 3 4 260 499 1 1 65 125
Apparel .................................. 12 9 1,329 845 3 2 332 211
Leather and allied products .............. (3) (3) (3) (3) (3) (3) (3) (3)
Wood products ............................ 10 8 780 721 3 2 195 180
Paper .................................... 3 3 335 213 1 1 84 53
Printing and related support activities .. 7 10 436 719 2 3 109 180
Petroleum and coal products .............. - 3 - 202 - 1 - 51
Chemicals ................................ 3 7 343 626 1 2 86 157
Plastics and rubber products ............. 9 4 2,645 330 2 1 661 83
Nonmetallic mineral products ............. 7 6 546 619 2 2 137 155
Primary metals ........................... 8 14 839 1,519 2 4 210 380
Fabricated metal products ................ 7 15 788 1,596 2 4 197 399
Machinery ................................ 17 18 1,649 2,113 4 5 412 528
Computer and electronic products ......... 14 17 1,366 1,184 4 4 342 296
Electrical equipment and appliances ...... 5 11 722 1,509 1 3 181 377
Transportation equipment ................. 26 17 7,093 1,432 7 4 1,773 358
Furniture and related products ........... 6 10 634 1,422 2 3 159 356
Miscellaneous manufacturing .............. (3) 6 (3) 640 (3) 2 (3) 160
Wholesale trade .............................. 29 19 2,498 1,364 7 5 625 341
Retail trade (4) ............................. 105 96 9,491 9,833 26 24 2,373 2,458
Building material and garden supply stores 9 8 640 884 2 2 160 221
Food and beverage stores ................. 14 16 1,259 1,462 4 4 315 366
Clothing and clothing accessories stores . 9 8 625 392 2 2 156 98
General merchandise stores ............... 45 42 5,018 5,568 11 11 1,255 1,392
Transportation and warehousing (4) ........... 171 116 23,008 12,688 43 29 5,752 3,172
Truck transportation ..................... 4 4 243 209 1 1 61 52
Transit and ground passenger
transportation ......................... 151 93 21,409 10,908 38 23 5,352 2,727
Support activities for transportation .... (3) 7 (3) 606 (3) 2 (3) 152
Information .................................. 35 38 4,024 9,107 9 10 1,006 2,277
Finance and insurance ........................ 33 27 2,095 1,960 8 7 524 490
Real estate and rental and leasing ........... 8 4 601 201 2 1 150 50
Professional and technical services .......... 55 78 6,288 9,919 14 20 1,572 2,480
Management of companies and enterprises ...... (3) 5 (3) 434 (3) 1 (3) 109
Administrative and waste services ............ 220 155 17,166 13,493 55 39 4,292 3,373
Educational services ......................... 18 11 2,778 939 5 3 695 235
Health care and social assistance ............ 41 41 3,133 3,460 10 10 783 865
Arts, entertainment, and recreation .......... 40 34 3,344 3,320 10 9 836 830
Accommodation and food services .............. 110 80 13,707 7,939 28 20 3,427 1,985
Accommodation ............................ 39 35 3,332 2,865 10 9 833 716
Food services and drinking places ........ 71 45 10,375 5,074 18 11 2,594 1,269
Other services, except public administration . 9 9 521 699 2 2 130 175
Unclassified ................................. 10 2 452 97 3 1 113 24
Government ....................................... 43 49 5,982 4,558 11 12 1,496 1,140
Federal ...................................... 5 9 395 1,074 1 2 99 269
State ........................................ 13 13 3,164 1,257 3 3 791 314
State government education .............. 5 2 406 109 1 1 102 27
Local ........................................ 25 27 2,423 2,227 6 7 606 557
Local government education .............. 7 8 1,032 877 2 2 258 219
1 Average weekly analysis mitigates the effect of differing lengths of months. There were 4 weeks in April 2012 and 4 weeks in April
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
April April April April April April April April
2012 2013 2012 2013 2012 2013 2012 2013
Total (2) ............... 1,421 1,174 146,358 119,196 355 294 36,590 29,799
Northeast .................. 363 272 48,882 28,395 91 68 12,221 7,099
Connecticut ............ 6 7 530 742 2 2 133 186
Maine .................. 7 6 696 780 2 2 174 195
Massachusetts .......... 17 20 3,291 3,021 4 5 823 755
New Hampshire .......... 6 5 928 902 2 1 232 226
New Jersey ............. 65 46 10,222 4,217 16 12 2,556 1,054
New York ............... 152 86 22,367 9,093 38 22 5,592 2,273
Pennsylvania ........... 91 85 7,943 6,591 23 21 1,986 1,648
Rhode Island ........... 9 7 2,081 2,024 2 2 520 506
Vermont ................ 10 10 824 1,025 3 3 206 256
South ...................... 318 310 30,733 29,555 80 78 7,683 7,389
Alabama ................ 17 11 2,706 1,238 4 3 677 310
Arkansas ............... 6 16 851 1,442 2 4 213 361
Delaware ............... 7 8 542 582 2 2 136 146
District of Columbia ... - - - - - - - -
Florida ................ 70 54 4,913 4,148 18 14 1,228 1,037
Georgia ................ 24 21 2,879 2,756 6 5 720 689
Kentucky ............... 25 21 2,946 2,209 6 5 737 552
Louisiana .............. 13 14 1,067 942 3 4 267 236
Maryland (4) ........... 3 12 256 984 1 3 64 246
Mississippi ............ 13 14 835 1,030 3 4 209 258
North Carolina ......... 51 45 4,782 5,411 13 11 1,196 1,353
Oklahoma ............... 4 (3) 621 (3) 1 (3) 155 (3)
South Carolina ......... 12 8 1,321 1,004 3 2 330 251
Tennessee .............. 9 10 752 879 2 3 188 220
Texas .................. 45 57 4,621 5,113 11 14 1,155 1,278
Virginia ............... 14 12 1,141 1,249 4 3 285 312
West Virginia .......... 5 (3) 500 (3) 1 (3) 125 (3)
Midwest .................... 216 203 26,205 19,909 54 51 6,551 4,977
Illinois ............... 38 49 5,969 5,272 10 12 1,492 1,318
Indiana ................ 17 10 4,867 807 4 3 1,217 202
Iowa ................... 13 14 1,388 1,348 3 4 347 337
Kansas ................. 9 (3) 726 (3) 2 (3) 182 (3)
Michigan ............... 23 24 2,313 2,354 6 6 578 589
Minnesota .............. 8 7 455 561 2 2 114 140
Missouri ............... 27 14 1,770 1,101 7 4 443 275
Nebraska ............... 3 (3) 289 (3) 1 (3) 72 (3)
North Dakota ........... - (3) - (3) - (3) - (3)
Ohio ................... 34 45 3,651 4,459 9 11 913 1,115
South Dakota ........... - - - - - - - -
Wisconsin .............. 44 35 4,777 3,648 11 9 1,194 912
West ....................... 524 389 40,538 41,337 131 97 10,135 10,334
Alaska ................. 9 4 1,008 545 2 1 252 136
Arizona ................ 30 30 4,627 3,820 8 8 1,157 955
California ............. 391 273 26,375 29,242 98 68 6,594 7,311
Colorado ............... 12 12 1,401 1,379 3 3 350 345
Hawaii ................. (3) (3) (3) (3) (3) (3) (3) (3)
Idaho .................. 7 4 771 711 2 1 193 178
Montana ................ 6 5 526 437 2 1 132 109
Nevada ................. 13 7 1,051 460 3 2 263 115
New Mexico ............. 4 5 327 445 1 1 82 111
Oregon ................. 17 14 1,276 1,080 4 4 319 270
Utah ................... 5 9 482 837 1 2 121 209
Washington ............. 26 22 2,301 2,029 7 6 575 507
Wyoming ................ (3) (3) (3) (3) (3) (3) (3) (3)
Puerto Rico ............ 12 7 1,169 659 3 2 292 165
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
