An official website of the United States government
For release 10:00 a.m. (EDT) Friday, March 22, 2013 USDL-13-0479
Technical information: (202) 691-6392 * mlsinfo@bls.gov * www.bls.gov/mls
Media contact: (202) 691-5902 * PressOffice@bls.gov
MASS LAYOFFS -- FEBRUARY 2013
Employers took 1,422 mass layoff actions in February involving 135,468 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 94 from January, and the number of associated initial claims increased by 1,442. In
February, 295 mass layoff events were reported in the manufacturing sector resulting in
39,407 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.)
The national unemployment rate was 7.7 percent in February, down from 7.9 percent the
prior month and down from 8.3 percent a year earlier. Total nonfarm payroll employment
increased by 236,000 over the month and by 1,966,000 over the year.
Industry Distribution (Not Seasonally Adjusted)
The number of mass layoff events in February was 960, not seasonally adjusted, resulting
in 79,786 initial claims for unemployment insurance. (See table 2.) Over the year, the
number of average weekly mass layoff events for February increased by 16 to 240, and
associated average weekly initial claims increased by 1,453 to 19,947.
Nine of the 19 major industry sectors in the private economy reported over-the-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 February was temporary help
services. (See table A.)
In February, the manufacturing sector accounted for 21 percent of mass layoff events and
28 percent of associated initial claims in the private economy. Within manufacturing,
the numbers of mass layoff claimants were highest in transportation equipment and in
food. Nine of the 21 manufacturing subsectors experienced over-the-year increases in
average weekly initial claims. (See table 3.)
Table A. Six-digit NAICS industries with the largest number of mass layoff initial claims
in February 2013, private nonfarm, not seasonally adjusted
Industry February peak
Initial claims Year Initial claims
Temporary help services (1) ............... 7,564 2001 18,893
School and employee bus transportation .... 2,592 2008 4,254
Automobile manufacturing .................. (2) 2001 13,977
Discount department stores ................ 2,263 2004 2,669
Motion picture and video production ....... 2,000 2011 6,260
Supermarkets and other grocery stores ..... 1,869 2012 2,685
Professional employer organizations (1) ... 1,817 2009 6,452
Food service contractors .................. 1,742 2009 2,580
Highway, street, and bridge construction .. 1,691 2003 3,316
Department stores, except discount ........ 1,471 2001 2,994
1 See the Technical Note for more information on these industries.
2 Data do not meet BLS or state agency disclosure standards.
Geographic Distribution (Not Seasonally Adjusted)
Among the census regions, the West had the largest number of initial claims due to mass
layoffs in February. Two of the 4 regions experienced over-the-year increases in average
weekly initial claims, with the largest increase occurring in the West. (See table 4.)
Among the states, California had the highest number of mass layoff initial claims in
February, followed by New York, Pennsylvania, Texas, and North Carolina. Twenty-three
states and the District of Columbia experienced over-the-year increases in average
weekly initial claims, led by California, Kansas, and Indiana. (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 March 2013 is scheduled to be released on Tuesday,
April 23, 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, March 2009 to
February 2013, seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2009
March ...................... 3,022 304,175 2,827 287,023 1,261 158,119
April ...................... 2,537 246,938 2,332 231,211 1,022 114,682
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
Table 2. Mass layoff events and initial claimants for unemployment insurance, March 2009 to
February 2013, not seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2009
March ...................... 2,191 228,387 2,107 221,397 940 114,747
April ...................... 2,547 256,930 2,385 243,321 887 100,872
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
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
February February February February February February February February
2012 2013 2012 2013 2012 2013 2012 2013
Total (2) .................................. 895 960 73,974 79,786 224 240 18,494 19,947
Total, private ................................... 865 928 71,884 77,091 216 232 17,971 19,273
Agriculture, forestry, fishing and hunting ... 45 82 2,808 4,700 11 21 702 1,175
Total, private nonfarm ......................... 820 846 69,076 72,391 205 212 17,269 18,098
Mining ....................................... 7 4 510 311 2 1 128 78
Utilities .................................... - (3) - (3) - (3) - (3)
Construction ................................. 81 103 5,395 8,221 20 26 1,349 2,055
Construction of buildings ................ 12 17 760 1,099 3 4 190 275
Heavy and civil engineering construction . 19 37 1,319 3,645 5 9 330 911
Specialty trade contractors .............. 50 49 3,316 3,477 13 12 829 869
Manufacturing ................................ 196 192 16,555 21,630 49 48 4,139 5,408
Food ..................................... 45 41 4,208 3,879 11 10 1,052 970
Beverage and tobacco products ............ 4 (3) 199 (3) 1 (3) 50 (3)
Textile mills ............................ 7 7 638 499 2 2 160 125
Textile product mills .................... 4 6 512 470 1 2 128 118
Apparel .................................. 4 4 379 240 1 1 95 60
Leather and allied products .............. - 3 - 227 - 1 - 57
Wood products ............................ 13 11 1,292 1,075 3 3 323 269
Paper .................................... 6 3 397 220 2 1 99 55
Printing and related support activities .. 9 5 634 615 2 1 159 154
Petroleum and coal products .............. (3) (3) (3) (3) (3) (3) (3) (3)
Chemicals ................................ (3) 4 (3) 272 (3) 1 (3) 68
Plastics and rubber products ............. 9 7 547 1,575 2 2 137 394
Nonmetallic mineral products ............. 7 7 505 591 2 2 126 148
Primary metals ........................... 6 10 428 1,221 2 3 107 305
Fabricated metal products ................ 10 14 699 947 3 4 175 237
Machinery ................................ 9 15 994 1,347 2 4 249 337
Computer and electronic products ......... 15 12 1,008 684 4 3 252 171
Electrical equipment and appliances ...... 7 6 590 1,396 2 2 148 349
Transportation equipment ................. 20 23 1,725 5,175 5 6 431 1,294
Furniture and related products ........... 13 7 1,095 532 3 2 274 133
Miscellaneous manufacturing .............. 4 3 467 388 1 1 117 97
Wholesale trade .............................. 17 12 1,594 854 4 3 399 214
Retail trade (4) ............................. 135 128 12,716 10,111 34 32 3,179 2,528
Building material and garden supply stores 7 10 494 804 2 3 124 201
Food and beverage stores ................. 26 24 2,735 1,915 7 6 684 479
Clothing and clothing accessories stores . 19 23 1,390 1,392 5 6 348 348
General merchandise stores ............... 57 47 6,096 4,496 14 12 1,524 1,124
Transportation and warehousing (4) ........... 32 34 3,506 3,833 8 9 877 958
Truck transportation ..................... 3 6 154 339 1 2 39 85
Transit and ground passenger
transportation ......................... 17 19 2,561 2,939 4 5 640 735
Support activities for transportation .... 3 4 184 263 1 1 46 66
Information .................................. 42 37 4,456 3,247 11 9 1,114 812
Finance and insurance ........................ 22 20 1,891 1,400 6 5 473 350
Real estate and rental and leasing ........... 5 6 305 427 1 2 76 107
Professional and technical services .......... 25 45 1,931 2,907 6 11 483 727
Management of companies and enterprises ...... 5 (3) 344 (3) 1 (3) 86 (3)
Administrative and waste services ............ 155 164 11,920 11,875 39 41 2,980 2,969
Educational services ......................... 6 8 341 442 2 2 85 111
Health care and social assistance ............ 26 26 1,686 1,601 7 7 422 400
Arts, entertainment, and recreation .......... 19 12 1,442 808 5 3 361 202
Accommodation and food services .............. 37 45 3,814 4,046 9 11 954 1,012
Accommodation ............................ 8 16 493 1,270 2 4 123 318
Food services and drinking places ........ 29 29 3,321 2,776 7 7 830 694
Other services, except public administration . 7 5 526 296 2 1 132 74
Unclassified ................................. 3 2 144 133 1 1 36 33
Government ....................................... 30 32 2,090 2,695 8 8 523 674
Federal ...................................... 5 7 337 561 1 2 84 140
State ........................................ 10 13 715 1,178 3 3 179 295
State government education .............. 7 6 531 395 2 2 133 99
Local ........................................ 15 12 1,038 956 4 3 260 239
Local government education .............. 6 4 377 311 2 1 94 78
1 Average weekly analysis mitigates the effect of differing lengths of months. There were 4 weeks in February 2012 and 4 weeks in
February 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
February February February February February February February February
2012 2013 2012 2013 2012 2013 2012 2013
Total (2) ............... 895 960 73,974 79,786 224 240 18,494 19,947
Northeast .................. 203 159 18,074 15,631 51 40 4,519 3,908
Connecticut ............ 5 15 505 1,656 1 4 126 414
Maine .................. (3) (3) (3) (3) (3) (3) (3) (3)
Massachusetts .......... 5 10 358 840 1 3 90 210
New Hampshire .......... 3 (3) 209 (3) 1 (3) 52 (3)
New Jersey ............. 26 24 2,246 2,020 7 6 562 505
New York ............... 91 52 8,124 4,652 23 13 2,031 1,163
Pennsylvania ........... 61 45 4,448 4,261 15 11 1,112 1,065
Rhode Island ........... 7 7 1,883 1,838 2 2 471 460
Vermont ................ (3) (3) (3) (3) (3) (3) (3) (3)
South ...................... 242 237 19,704 19,264 61 59 4,926 4,816
Alabama ................ 7 9 541 776 2 2 135 194
Arkansas ............... 11 9 1,163 679 3 2 291 170
Delaware ............... (3) (3) (3) (3) (3) (3) (3) (3)
District of Columbia ... (3) (3) (3) (3) (3) (3) (3) (3)
Florida ................ 65 55 3,742 3,090 16 14 936 773
Georgia ................ 20 17 2,195 1,212 5 4 549 303
Kentucky ............... 18 15 1,338 2,267 5 4 335 567
Louisiana .............. 13 6 1,294 492 3 2 324 123
Maryland (4) ........... 10 7 825 492 3 2 206 123
Mississippi ............ 6 5 353 269 2 1 88 67
North Carolina ......... 27 34 2,604 3,282 7 9 651 821
Oklahoma ............... 5 (3) 315 (3) 1 (3) 79 (3)
South Carolina ......... 8 10 700 964 2 3 175 241
Tennessee .............. 4 10 584 744 1 3 146 186
Texas .................. 33 40 2,714 3,298 8 10 679 825
Virginia ............... 10 14 1,027 1,243 3 4 257 311
West Virginia .......... - (3) - (3) - (3) - (3)
Midwest .................... 152 146 13,591 15,411 38 37 3,398 3,853
Illinois ............... 40 24 3,291 1,834 10 6 823 459
Indiana ................ 4 12 314 2,115 1 3 79 529
Iowa ................... 11 7 1,246 734 3 2 312 184
Kansas ................. 4 8 447 2,956 1 2 112 739
Michigan ............... 28 16 2,639 1,315 7 4 660 329
Minnesota .............. 3 (3) 237 (3) 1 (3) 59 (3)
Missouri ............... 7 15 449 840 2 4 112 210
Nebraska ............... 8 6 610 448 2 2 153 112
North Dakota ........... - (3) - (3) - (3) - (3)
Ohio ................... 25 25 2,381 2,211 6 6 595 553
South Dakota ........... - (3) - (3) - (3) - (3)
Wisconsin .............. 22 26 1,977 2,344 6 7 494 586
West ....................... 298 418 22,605 29,480 75 105 5,651 7,370
Alaska ................. (3) 4 (3) 361 (3) 1 (3) 90
Arizona ................ 13 5 1,023 527 3 1 256 132
California ............. 225 360 16,919 24,357 56 90 4,230 6,089
Colorado ............... 6 (3) 478 (3) 2 (3) 120 (3)
Hawaii ................. (3) 4 (3) 356 (3) 1 (3) 89
Idaho .................. 6 3 399 201 2 1 100 50
Montana ................ - - - - - - - -
Nevada ................. 5 8 427 701 1 2 107 175
New Mexico ............. 5 (3) 348 (3) 1 (3) 87 (3)
Oregon ................. 19 13 1,497 1,203 5 3 374 301
Utah ................... 3 (3) 228 (3) 1 (3) 57 (3)
Washington ............. 13 17 1,084 1,470 3 4 271 368
Wyoming ................ - - - - - - - -
Puerto Rico ............ 13 8 1,131 810 3 2 283 203
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.