For release 10:00 a.m. (EST) Tuesday, November 20, 2012 USDL-12-2292
Technical information: (202) 691-6392 * mlsinfo@bls.gov * www.bls.gov/mls
Media contact: (202) 691-5902 * PressOffice@bls.gov
MASS LAYOFFS -- OCTOBER 2012
Employers took 1,360 mass layoff actions in October involving 131,173 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 in October increased by 44 from September, and the number of associated
initial claims increased by 8,711. In October, 344 mass layoff events were reported
in the manufacturing sector resulting in 42,946 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 7.9 percent in October, essentially unchanged
from the prior month and down from 8.9 percent a year earlier. Total nonfarm
payroll employment increased by 171,000 over the month and by 1,949,000 over the
year.
Industry Distribution (Not Seasonally Adjusted)
The number of mass layoff events in October was 1,142, not seasonally adjusted,
resulting in 109,829 initial claims for unemployment insurance. (See table 2.) Over
the year, the number of average weekly mass layoff events for October increased by
11 to 286, and associated average weekly initial claims increased by 3,228 to
27,457. Eleven 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.) In October 2012, the six-digit industry
with the largest number of private nonfarm initial claims due to mass layoffs was
temporary help services. (See table A.)
In October, the manufacturing sector accounted for 26 percent of mass layoff
events and 36 percent of associated initial claims in the private economy. Within
manufacturing, the numbers of mass layoff claimants were highest in machinery and
in transportation equipment. Twelve 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 October 2012, private nonfarm, not seasonally adjusted
Industry October peak
Initial Claims Year Initial claims
Temporary help services (1) ................. 12,955 1998 18,760
Construction machinery manufacturing ........ 3,410 2009 4,770
Heavy duty truck manufacturing .............. (2) 2006 (2)
Motion picture and video production ......... 2,455 1997 7,692
Fruit and vegetable canning ................. 2,410 2002 4,500
Professional employer organizations (1) ..... 2,379 2008 7,242
Food service contractors .................... 2,133 2009 3,233
Supermarkets and other grocery stores ....... 2,100 2003 13,682
Discount department stores .................. 2,004 2002 4,959
Lawn and garden equipment manufacturing ..... 1,873 2010 2,077
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 registered the largest number of initial claims
due to mass layoffs in October. Three 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 recorded the highest number of mass layoff initial
claims in October, followed by North Carolina, Illinois, and Ohio. Twenty-one states
and the District of Columbia 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 news release for November is scheduled to be released on Friday,
December 21, 2012, at 10:00 a.m. (EST).
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, November 2008 to
October 2012, seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2008
November ................... 2,406 239,239 2,247 225,404 907 103,836
December ................... 2,437 244,889 2,261 230,621 935 116,181
2009
January .................... 2,254 235,371 2,083 221,653 726 92,293
February ................... 3,059 326,392 2,901 310,378 1,251 145,839
March ...................... 2,999 299,322 2,800 282,414 1,230 154,168
April ...................... 2,566 249,129 2,349 232,632 1,007 116,051
May ........................ 2,710 284,468 2,516 267,869 1,181 147,184
June ....................... 2,466 247,597 2,257 230,502 1,048 137,649
July ....................... 2,186 222,941 1,979 203,911 636 75,728
August ..................... 2,340 216,047 2,115 197,172 751 77,894
September .................. 2,261 214,018 2,048 198,761 786 91,125
October .................... 1,969 195,752 1,772 178,172 571 65,217
November ................... 1,757 164,454 1,588 151,172 472 52,855
December ................... 1,719 155,056 1,543 140,835 424 44,096
2010
January .................... 1,707 168,044 1,529 154,187 471 53,817
February ................... 1,631 156,292 1,465 141,831 374 43,620
March ...................... 1,676 149,816 1,469 134,518 356 40,705
April ...................... 1,637 154,558 1,452 138,503 368 44,506
May ........................ 1,608 150,996 1,357 130,273 302 29,932
June ....................... 1,695 151,435 1,475 132,742 325 33,298
July ....................... 1,519 138,091 1,316 122,162 304 32,253
August ..................... 1,588 159,329 1,399 136,697 390 43,154
September .................. 1,510 133,576 1,295 115,349 328 34,333
October .................... 1,654 149,589 1,446 132,146 354 38,937
November ................... 1,592 161,145 1,410 145,494 360 39,977
December ................... 1,477 135,849 1,271 121,171 322 36,267
2011
January .................... 1,536 148,952 1,348 131,869 337 37,477
February ................... 1,434 131,569 1,242 116,745 297 26,696
March ...................... 1,275 115,391 1,118 102,722 251 28,988
April ...................... 1,548 145,836 1,383 131,317 341 37,053
May ........................ 1,600 144,412 1,404 127,793 374 39,180
June ....................... 1,513 143,384 1,334 128,410 344 36,265
July ....................... 1,562 145,078 1,348 125,285 346 36,312
August ..................... 1,551 164,275 1,347 149,874 382 49,194
September .................. 1,447 147,353 1,306 134,038 364 38,026
October .................... 1,335 118,924 1,205 107,330 341 33,926
November ................... 1,332 131,627 1,192 120,760 324 36,563
December ................... 1,384 145,648 1,238 130,583 351 39,081
2012
January .................... 1,434 129,920 1,298 119,102 341 33,597
February ................... 1,293 119,463 1,153 108,577 282 27,388
March ...................... 1,273 121,310 1,125 109,421 261 26,348
April ...................... 1,388 135,600 1,222 120,213 287 33,243
May ........................ 1,380 130,191 1,222 117,654 264 29,675
June ....................... 1,317 131,406 1,171 118,451 267 29,093
July ....................... 1,340 137,420 1,208 127,092 364 44,920
August ..................... 1,267 127,454 1,148 117,952 314 38,667
September .................. 1,316 122,462 1,198 113,824 366 39,748
October .................... 1,360 131,173 1,220 120,794 344 42,946
Table 2. Mass layoff events and initial claimants for unemployment insurance, November 2008 to
October 2012, not seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2008
November ................... 2,574 241,589 2,389 226,657 997 107,620
December ................... 3,377 351,305 3,232 340,220 1,378 172,529
2009
January .................... 3,806 388,813 3,633 375,293 1,461 172,757
February ................... 2,262 218,438 2,173 210,755 945 103,588
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
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
October October October October October October October October
2011 2012 2011 2012 2011 2012 2011 2012
Total (2) .................................. 1,101 1,142 96,914 109,829 275 286 24,229 27,457
Total, private ................................... 1,015 1,074 88,044 104,318 254 269 22,011 26,080
Agriculture, forestry, fishing and hunting ... 65 106 4,296 6,928 16 27 1,074 1,732
Total, private nonfarm ......................... 950 968 83,748 97,390 238 242 20,937 24,348
Mining ....................................... (3) 4 (3) 238 (3) 1 (3) 60
Utilities .................................... (3) (3) (3) (3) (3) (3) (3) (3)
Construction ................................. 89 89 6,391 5,805 22 22 1,598 1,451
Construction of buildings ................ 18 12 1,352 873 5 3 338 218
Heavy and civil engineering construction . 29 33 2,204 2,150 7 8 551 538
Specialty trade contractors .............. 42 44 2,835 2,782 11 11 709 696
Manufacturing ................................ 265 277 28,447 37,702 66 69 7,112 9,426
Food ..................................... 58 51 6,596 5,398 15 13 1,649 1,350
Beverage and tobacco products ............ 5 7 445 455 1 2 111 114
Textile mills ............................ 15 15 1,242 1,683 4 4 311 421
Textile product mills .................... (3) 3 (3) 417 (3) 1 (3) 104
Apparel .................................. 6 6 513 817 2 2 128 204
Leather and allied products .............. (3) (3) (3) (3) (3) (3) (3) (3)
Wood products ............................ 15 3 1,276 268 4 1 319 67
Paper .................................... 3 (3) 278 (3) 1 (3) 70 (3)
Printing and related support activities .. 11 8 1,055 711 3 2 264 178
Petroleum and coal products .............. 5 5 360 513 1 1 90 128
Chemicals ................................ 5 3 274 184 1 1 69 46
Plastics and rubber products ............. 9 12 771 1,445 2 3 193 361
Nonmetallic mineral products ............. 9 11 791 1,067 2 3 198 267
Primary metals ........................... 11 15 1,021 1,486 3 4 255 372
Fabricated metal products ................ 17 25 2,066 2,100 4 6 517 525
Machinery ................................ 22 37 3,617 9,361 6 9 904 2,340
Computer and electronic products ......... 15 15 1,422 1,131 4 4 356 283
Electrical equipment and appliances ...... 6 10 1,377 983 2 3 344 246
Transportation equipment ................. 28 39 3,478 8,744 7 10 870 2,186
Furniture and related products ........... 11 6 825 492 3 2 206 123
Miscellaneous manufacturing .............. 10 3 700 191 3 1 175 48
Wholesale trade .............................. 21 18 1,489 983 5 5 372 246
Retail trade (4) ............................. 99 84 9,240 8,620 25 21 2,310 2,155
Building material and garden supply stores 11 14 1,008 1,044 3 4 252 261
Food and beverage stores ................. 19 26 1,705 2,138 5 7 426 535
Clothing and clothing accessories stores . 7 9 378 1,104 2 2 95 276
General merchandise stores ............... 36 22 4,380 3,394 9 6 1,095 849
Transportation and warehousing (4) ........... 29 29 2,345 2,851 7 7 586 713
Truck transportation ..................... (3) 4 (3) 200 (3) 1 (3) 50
Transit and ground passenger
transportation ......................... 12 11 1,185 926 3 3 296 232
Support activities for transportation .... (3) (3) (3) (3) (3) (3) (3) (3)
Information .................................. 23 34 2,452 4,441 6 9 613 1,110
Finance and insurance ........................ 25 29 1,973 1,743 6 7 493 436
Real estate and rental and leasing ........... 7 8 544 465 2 2 136 116
Professional and technical services .......... 34 43 2,469 3,482 9 11 617 871
Management of companies and enterprises ...... (3) (3) (3) (3) (3) (3) (3) (3)
Administrative and waste services ............ 199 191 16,173 18,937 50 48 4,043 4,734
Educational services ......................... 8 9 518 547 2 2 130 137
Health care and social assistance ............ 41 35 2,728 2,075 10 9 682 519
Arts, entertainment, and recreation .......... 28 25 2,053 1,868 7 6 513 467
Accommodation and food services .............. 72 75 5,986 6,441 18 19 1,497 1,610
Accommodation ............................ 21 28 1,624 2,237 5 7 406 559
Food services and drinking places ........ 51 47 4,362 4,204 13 12 1,091 1,051
Other services, except public administration . 5 10 492 746 1 3 123 187
Unclassified ................................. 1 4 113 212 - 1 28 53
Government ....................................... 86 68 8,870 5,511 22 17 2,218 1,378
Federal ...................................... 23 23 2,198 2,066 6 6 550 517
State ........................................ 23 22 2,566 1,918 6 6 642 480
State government education .............. 5 7 361 416 1 2 90 104
Local ........................................ 40 23 4,106 1,527 10 6 1,027 382
Local government education .............. 13 6 974 296 3 2 244 74
1 Average weekly analysis mitigates the effect of differing lengths of months. There were 4 weeks in October 2011 and 4 weeks in
October 2012. 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
October October October October October October October October
2011 2012 2011 2012 2011 2012 2011 2012
Total (2) ............... 1,101 1,142 96,914 109,829 275 286 24,229 27,457
Northeast .................. 164 138 14,814 11,100 41 35 3,704 2,775
Connecticut ............ 8 3 640 221 2 1 160 55
Maine .................. (3) (3) (3) (3) (3) (3) (3) (3)
Massachusetts .......... 9 6 987 501 2 2 247 125
New Hampshire .......... (3) (3) (3) (3) (3) (3) (3) (3)
New Jersey ............. 23 17 1,744 1,616 6 4 436 404
New York ............... 49 48 5,484 4,202 12 12 1,371 1,051
Pennsylvania ........... 70 60 5,637 4,204 18 15 1,409 1,051
Rhode Island ........... (3) - (3) - (3) - (3) -
Vermont ................ (3) (3) (3) (3) (3) (3) (3) (3)
South ...................... 284 294 25,223 30,437 71 74 6,306 7,609
Alabama ................ 7 13 967 1,037 2 3 242 259
Arkansas ............... 18 16 2,520 1,888 5 4 630 472
Delaware ............... (3) (3) (3) (3) (3) (3) (3) (3)
District of Columbia ... (3) (3) (3) (3) (3) (3) (3) (3)
Florida ................ 91 60 6,576 3,674 23 15 1,644 919
Georgia ................ 24 13 1,886 1,370 6 3 472 343
Kentucky ............... 20 19 1,841 2,802 5 5 460 701
Louisiana .............. 8 9 525 521 2 2 131 130
Maryland (4) ........... 3 9 163 1,146 1 2 41 287
Mississippi ............ 9 12 668 872 2 3 167 218
North Carolina ......... 27 57 2,195 8,957 7 14 549 2,239
Oklahoma ............... 7 5 574 411 2 1 144 103
South Carolina ......... 10 12 1,329 1,485 3 3 332 371
Tennessee .............. 4 9 292 713 1 2 73 178
Texas .................. 39 46 3,454 4,099 10 12 864 1,025
Virginia ............... 13 10 1,830 965 3 3 458 241
West Virginia .......... (3) (3) (3) (3) (3) (3) (3) (3)
Midwest .................... 215 212 22,090 26,366 54 53 5,523 6,592
Illinois ............... 48 42 4,971 7,018 12 11 1,243 1,755
Indiana ................ 13 18 1,843 2,140 3 5 461 535
Iowa ................... 10 10 1,115 1,434 3 3 279 359
Kansas ................. (3) 4 (3) 481 (3) 1 (3) 120
Michigan ............... 32 22 3,151 1,911 8 6 788 478
Minnesota .............. 12 12 1,132 874 3 3 283 219
Missouri ............... 22 16 2,503 1,214 6 4 626 304
Nebraska ............... 8 (3) 811 (3) 2 (3) 203 (3)
North Dakota ........... (3) (3) (3) (3) (3) (3) (3) (3)
Ohio ................... 29 47 2,616 6,331 7 12 654 1,583
South Dakota ........... - - - - - - - -
Wisconsin .............. 38 38 3,577 4,200 10 10 894 1,050
West ....................... 438 498 34,787 41,926 110 125 8,697 10,482
Alaska ................. 8 6 970 426 2 2 243 107
Arizona ................ 17 6 1,527 628 4 2 382 157
California ............. 322 399 24,007 33,225 81 100 6,002 8,306
Colorado ............... 10 11 873 957 3 3 218 239
Hawaii ................. 5 3 340 201 1 1 85 50
Idaho .................. 9 5 613 390 2 1 153 98
Montana ................ 7 6 730 561 2 2 183 140
Nevada ................. 4 13 279 1,117 1 3 70 279
New Mexico ............. 11 5 705 435 3 1 176 109
Oregon ................. 21 17 2,354 1,479 5 4 589 370
Utah ................... (3) 6 (3) 513 (3) 2 (3) 128
Washington ............. 20 18 1,774 1,489 5 5 444 372
Wyoming ................ (3) 3 (3) 505 (3) 1 (3) 126
Puerto Rico ............ 9 9 1,058 989 2 2 265 247
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
