For release 10:00 a.m. (EDT) Tuesday, April 23, 2013 USDL-13-0728
Technical information: (202) 691-6392 * mlsinfo@bls.gov * www.bls.gov/mls
Media contact: (202) 691-5902 * PressOffice@bls.gov
MASS LAYOFFS -- MARCH 2013
Employers took 1,337 mass layoff actions in March involving 127,939
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 85
from February, and the number of associated initial claims decreased
by 7,529. In March, 311 mass layoff events were reported in the
manufacturing sector resulting in 36,696 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 7.6 percent in March, essentially
unchanged from the prior month and down from 8.2 percent a year
earlier. Total nonfarm payroll employment increased by 88,000 over the
month and by 1,910,000 over the year.
Industry Distribution (Not Seasonally Adjusted)
The number of mass layoff events in March was 1,132, not seasonally
adjusted, resulting in 114,897 initial claims for unemployment
insurance. (See table 2.) Over the year, the number of average weekly
mass layoff events for March increased by 1 to 226, while associated
average weekly initial claims decreased by 584 to 22,979.
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 information. (See table 3.)
The six-digit industry with the largest number of private nonfarm
initial claims due to mass layoffs in March was school and employee
bus transportation. (See table A.)
In March, the manufacturing sector accounted for 24 percent of mass
layoff events and 26 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 decreases
in average weekly initial claims. (See table 3.)
Table A. Six-digit NAICS industries with the largest number of mass layoff initial claims
in March 2013, private nonfarm, not seasonally adjusted
Industry March peak
Initial Claims Year Initial claims
School and employee bus transportation .... 11,169 2013 11,169
Food service contractors .................. 10,408 2013 10,408
Temporary help services (1) ............... 9,344 2002 14,338
Motion picture and video production ....... 2,895 2005 7,192
Construction machinery manufacturing ...... 2,019 2009 7,933
Tire manufacturing, except retreading ..... 1,981 2013 1,981
Discount department stores ................ 1,791 2007 3,670
Professional employer organizations (1) ... 1,700 2009 4,892
Process and logistics consulting services . (2) 2009 1,846
Warehouse clubs and supercenters .......... 1,459 2012 1,900
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 South had the largest number of initial
claims due to mass layoffs in March, followed closely by the West.
Only the West experienced an over-the-year decrease in average weekly
initial claims. (See table 4.)
Among the states, California had the highest number of mass layoff
initial claims in March, followed by Pennsylvania, Texas, Illinois,
and New York. Twenty-four states experienced over-the-year decreases
in average weekly initial claims, led by California, North Carolina,
and Oregon. (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 Extended Mass Layoffs news release for the First Quarter 2013 is
scheduled to be released on Monday, May 13, 2013, at 10:00 a.m. (EDT).
The Mass Layoffs news release for April 2013 is scheduled to be
released on Wednesday, May 22, 2013, at 10:00 a.m. (EDT).
____________________________________________________________________________________
| |
| 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. |
|____________________________________________________________________________________|
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, April 2009 to
March 2013, seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2009
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
March ...................... 1,337 127,939 1,183 115,664 311 36,696
Table 2. Mass layoff events and initial claimants for unemployment insurance, April 2009 to
March 2013, not seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2009
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
March ...................... 1,132 114,897 1,048 108,200 268 28,923
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
March March March March March March March March
2012 2013 2012 2013 2012 2013 2012 2013
Total (2) .................................. 1,125 1,132 117,817 114,897 225 226 23,563 22,979
Total, private ................................... 1,083 1,097 113,790 111,521 217 219 22,758 22,304
Agriculture, forestry, fishing and hunting ... 43 49 2,836 3,321 9 10 567 664
Total, private nonfarm ......................... 1,040 1,048 110,954 108,200 208 210 22,191 21,640
Mining ....................................... 8 10 823 845 2 2 165 169
Utilities .................................... (3) (3) (3) (3) (3) (3) (3) (3)
Construction ................................. 121 126 9,148 9,526 24 25 1,830 1,905
Construction of buildings ................ 17 28 1,432 2,330 3 6 286 466
Heavy and civil engineering construction . 42 39 3,118 3,054 8 8 624 611
Specialty trade contractors .............. 62 59 4,598 4,142 12 12 920 828
Manufacturing ................................ 242 268 24,241 28,923 48 54 4,848 5,785
Food ..................................... 69 57 7,701 5,218 14 11 1,540 1,044
Beverage and tobacco products ............ 5 7 326 1,330 1 1 65 266
Textile mills ............................ 6 4 786 572 1 1 157 114
Textile product mills .................... 4 (3) 335 (3) 1 (3) 67 (3)
Apparel .................................. 9 5 651 828 2 1 130 166
Leather and allied products .............. (3) (3) (3) (3) (3) (3) (3) (3)
Wood products ............................ 14 14 1,154 1,079 3 3 231 216
Paper .................................... 8 6 578 322 2 1 116 64
Printing and related support activities .. 4 6 341 384 1 1 68 77
Petroleum and coal products .............. (3) (3) (3) (3) (3) (3) (3) (3)
Chemicals ................................ 4 4 242 261 1 1 48 52
Plastics and rubber products ............. 9 13 614 2,882 2 3 123 576
Nonmetallic mineral products ............. 11 11 844 713 2 2 169 143
Primary metals ........................... 3 10 223 907 1 2 45 181
Fabricated metal products ................ 18 23 1,084 1,873 4 5 217 375
Machinery ................................ 12 16 845 3,268 2 3 169 654
Computer and electronic products ......... 14 12 1,432 1,002 3 2 286 200
Electrical equipment and appliances ...... 13 18 2,417 2,130 3 4 483 426
Transportation equipment ................. 25 39 3,362 4,240 5 8 672 848
Furniture and related products ........... 6 8 613 771 1 2 123 154
Miscellaneous manufacturing .............. 5 9 396 729 1 2 79 146
Wholesale trade .............................. 20 12 1,639 1,098 4 2 328 220
Retail trade (4) ............................. 100 84 10,375 8,204 20 17 2,075 1,641
Building material and garden supply stores 8 7 953 630 2 1 191 126
Food and beverage stores ................. 20 17 1,826 1,117 4 3 365 223
Clothing and clothing accessories stores . 9 3 604 184 2 1 121 37
General merchandise stores ............... 39 33 5,146 4,268 8 7 1,029 854
Transportation and warehousing (4) ........... 72 90 9,013 12,753 14 18 1,803 2,551
Truck transportation ..................... 6 (3) 358 (3) 1 (3) 72 (3)
Transit and ground passenger
transportation ......................... 47 69 7,045 11,251 9 14 1,409 2,250
Support activities for transportation .... 4 7 302 501 1 1 60 100
Information .................................. 49 32 9,195 4,261 10 6 1,839 852
Finance and insurance ........................ 30 18 2,168 1,810 6 4 434 362
Real estate and rental and leasing ........... 6 8 359 674 1 2 72 135
Professional and technical services .......... 42 36 6,331 4,167 8 7 1,266 833
Management of companies and enterprises ...... 5 5 517 471 1 1 103 94
Administrative and waste services ............ 165 179 16,911 15,271 33 36 3,382 3,054
Educational services ......................... 9 (3) 552 (3) 2 (3) 110 (3)
Health care and social assistance ............ 33 31 2,752 2,395 7 6 550 479
Arts, entertainment, and recreation .......... 16 15 1,110 1,716 3 3 222 343
Accommodation and food services .............. 112 117 15,122 14,725 22 23 3,024 2,945
Accommodation ............................ 23 21 2,121 1,690 5 4 424 338
Food services and drinking places ........ 89 96 13,001 13,035 18 19 2,600 2,607
Other services, except public administration . 6 11 405 772 1 2 81 154
Unclassified ................................. (3) - (3) - (3) - (3) -
Government ....................................... 42 35 4,027 3,376 8 7 805 675
Federal ...................................... 4 3 271 317 1 1 54 63
State ........................................ 17 12 1,460 1,559 3 2 292 312
State government education .............. 5 5 427 958 1 1 85 192
Local ........................................ 21 20 2,296 1,500 4 4 459 300
Local government education .............. 4 3 823 161 1 1 165 32
1 Average weekly analysis mitigates the effect of differing lengths of months. There were 5 weeks in March 2012 and 5 weeks in March
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
March March March March March March March March
2012 2013 2012 2013 2012 2013 2012 2013
Total (2) ............... 1,125 1,132 117,817 114,897 225 226 23,563 22,979
Northeast .................. 198 229 18,520 23,264 40 46 3,704 4,653
Connecticut ............ (3) - (3) - (3) - (3) -
Maine .................. 5 7 415 515 1 1 83 103
Massachusetts .......... 11 7 1,073 516 2 1 215 103
New Hampshire .......... 3 (3) 339 (3) 1 (3) 68 (3)
New Jersey ............. 21 41 2,065 4,031 4 8 413 806
New York ............... 54 55 5,226 6,562 11 11 1,045 1,312
Pennsylvania ........... 92 111 8,034 10,053 18 22 1,607 2,011
Rhode Island ........... (3) (3) (3) (3) (3) (3) (3) (3)
Vermont ................ 8 4 1,123 739 2 1 225 148
South ...................... 289 290 31,925 32,616 58 58 6,385 6,523
Alabama ................ 18 12 2,130 2,111 4 2 426 422
Arkansas ............... 16 22 1,835 2,610 3 4 367 522
Delaware ............... (3) (3) (3) (3) (3) (3) (3) (3)
District of Columbia ... - - - - - - - -
Florida ................ 55 58 4,836 4,547 11 12 967 909
Georgia ................ 8 8 1,069 999 2 2 214 200
Kentucky ............... 26 29 2,601 3,237 5 6 520 647
Louisiana .............. 7 5 423 260 1 1 85 52
Maryland (4) ........... 3 14 182 1,368 1 3 36 274
Mississippi ............ 12 15 1,314 1,237 2 3 263 247
North Carolina ......... 60 35 6,060 3,905 12 7 1,212 781
Oklahoma ............... 3 3 697 725 1 1 139 145
South Carolina ......... 7 11 498 1,039 1 2 100 208
Tennessee .............. 8 11 854 820 2 2 171 164
Texas .................. 50 51 7,962 8,535 10 10 1,592 1,707
Virginia ............... 13 13 1,206 1,042 3 3 241 208
West Virginia .......... (3) (3) (3) (3) (3) (3) (3) (3)
Midwest .................... 219 230 24,470 26,698 44 46 4,894 5,340
Illinois ............... 36 49 4,610 6,864 7 10 922 1,373
Indiana ................ 18 16 1,830 1,982 4 3 366 396
Iowa ................... 9 11 1,278 1,399 2 2 256 280
Kansas ................. 11 11 1,588 878 2 2 318 176
Michigan ............... 25 25 3,749 3,110 5 5 750 622
Minnesota .............. 10 15 844 1,072 2 3 169 214
Missouri ............... 20 19 1,614 2,674 4 4 323 535
Nebraska ............... (3) 8 (3) 816 (3) 2 (3) 163
North Dakota ........... (3) 3 (3) 412 (3) 1 (3) 82
Ohio ................... 48 36 4,638 3,942 10 7 928 788
South Dakota ........... - - - - - - - -
Wisconsin .............. 37 37 3,777 3,549 7 7 755 710
West ....................... 419 383 42,902 32,319 84 77 8,580 6,464
Alaska ................. 3 7 178 634 1 1 36 127
Arizona ................ 15 11 1,286 752 3 2 257 150
California ............. 319 289 33,461 23,802 64 58 6,692 4,760
Colorado ............... 9 (3) 1,165 (3) 2 (3) 233 (3)
Hawaii ................. (3) - (3) - (3) - (3) -
Idaho .................. 7 8 694 881 1 2 139 176
Montana ................ (3) (3) (3) (3) (3) (3) (3) (3)
Nevada ................. 9 12 879 1,302 2 2 176 260
New Mexico ............. 8 5 765 458 2 1 153 92
Oregon ................. 20 13 2,153 1,204 4 3 431 241
Utah ................... 5 7 385 582 1 1 77 116
Washington ............. 19 25 1,546 2,256 4 5 309 451
Wyoming ................ (3) (3) (3) (3) (3) (3) (3) (3)
Puerto Rico ............ 15 15 1,899 2,172 3 3 380 434
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
