For release 10:00 a.m. (EST) Friday, December 21, 2012 USDL-12-2461
Technical information: (202) 691-6392 * mlsinfo@bls.gov * www.bls.gov/mls
Media contact: (202) 691-5902 * PressOffice@bls.gov
MASS LAYOFFS -- NOVEMBER 2012
Employers took 1,759 mass layoff actions in November involving 173,558 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 399 from October, and the number of associated initial claims increased by 42,385.
Mass layoff data for November reflect the impact of Hurricane Sandy on workers in
New Jersey, New York, and Pennsylvania. In November, 413 mass layoff events were reported
in the manufacturing sector resulting in 49,169 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.)
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| |
| Hurricane Sandy |
| |
|Hurricane Sandy made landfall on the Northeast coast on October 29th, causing |
|severe damage in some states. Data for November are the first from the Mass |
|Layoffs Statistics (MLS) program to reflect mass layoffs associated with the |
|storm. Additional information on the storm's impact on MLS data will be available|
|in the Extended Mass Layoffs news release for the Fourth Quarter 2012, scheduled |
|to be released on Thursday, February 14, 2013. |
| |
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The national unemployment rate was 7.7 percent in November, down from 7.9 percent the prior
month and from 8.7 percent a year earlier. Total nonfarm payroll employment increased by
146,000 over the month and by 1,889,000 over the year.
Industry Distribution (Not Seasonally Adjusted)
The number of mass layoff events in November was 2,339, not seasonally adjusted, resulting
in 249,949 initial claims for unemployment insurance. (See table 2.) Over the year, the
number of average weekly mass layoff events for November increased by 120 to 468, and
associated average weekly initial claims increased by 18,052 to 49,990. Sixteen 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.)
Five of the 19 sectors reached a November program high in terms of both average weekly
layoff events and initial claims: mining; transportation and warehousing; educational
services; health care and social assistance; and accommodation and food services. The
six-digit industry with the largest number of private nonfarm initial claims due to mass
layoffs was highway, street, and bridge construction. (See table A.)
In November, the manufacturing sector accounted for 25 percent of mass layoff events and
30 percent of associated initial claims in the private economy. Within manufacturing, the
numbers of mass layoff claimants were highest in food and in machinery. Fifteen 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 November 2012, private nonfarm, not seasonally adjusted
Industry November peak
Initial Claims Year Initial claims
Highway, street, and bridge construction .. 15,458 2012 15,458
Temporary help services (1) ............... 14,456 2000 19,023
School and employee bus transportation .... 13,998 2012 13,998
Casino hotels ............................. 11,901 2012 11,901
Food service contractors .................. 11,200 2012 11,200
Commercial bakeries ....................... 8,562 2012 8,562
Construction machinery manufacturing ...... 4,620 2012 4,620
Professional employer organizations (1) ... 3,165 2008 5,873
Motion picture and video production ....... 2,908 2000 8,664
Landscaping services ...................... 2,865 2012 2,865
1 See the Technical Note for more information on these industries.
Geographic Distribution (Not Seasonally Adjusted)
Among the census regions, the Northeast, where Hurricane Sandy had the greatest impact,
registered the largest number of initial claims due to mass layoffs in November. All four
regions experienced over-the-year increases in average weekly initial claims, with the
Northeast increasing to 16,898, a program high for that area for any month. (See table 4.)
Among the states, California recorded the highest number of mass layoff initial claims in
November, followed by New Jersey, New York, and Pennsylvania. Thirty-seven states experienced
over-the-year increases in average weekly initial claims, led by New Jersey and New York.
Four states reached a November program high in terms of both average weekly layoff events
and initial claims: Alaska, Maine, New Jersey, and New York. (See table 4.)
Note
The monthly data series in this release cover mass layoffs of 50 or more workers beginning in
a given month, regardless of the duration of the layoffs. 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 December 2012 and Annual Totals for 2012 is scheduled to be
released on Friday, January 25, 2013, at 10:00 a.m. (EST).
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| |
| Revision of Seasonally Adjusted Mass Layoff Data |
| |
|In accordance with usual practice, the release of mass layoff data for December |
|2012, scheduled for January 25, 2013, will incorporate annual updating of seasonal|
|adjustment factors. Seasonally adjusted estimates back to January 2008 are subject|
|to revision. |
| |
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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, December 2008 to
November 2012, seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2008
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
November ................... 1,759 173,558 1,582 160,733 413 49,169
Table 2. Mass layoff events and initial claimants for unemployment insurance, December 2008 to
November 2012, not seasonally adjusted
Total Private nonfarm Manufacturing
Date
Initial Initial Initial
Events claimants Events claimants Events claimants
2008
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
November ................... 2,339 249,949 2,078 228,124 551 72,690
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
November November November November November November November November
2011 2012 2011 2012 2011 2012 2011 2012
Total (2) .................................. 1,393 2,339 127,750 249,949 348 468 31,938 49,990
Total, private ................................... 1,332 2,243 123,294 240,496 333 449 30,824 48,099
Agriculture, forestry, fishing and hunting ... 87 165 5,820 12,372 22 33 1,455 2,474
Total, private nonfarm ......................... 1,245 2,078 117,474 228,124 311 416 29,369 45,625
Mining ....................................... 10 37 739 2,963 3 7 185 593
Utilities .................................... (3) 5 (3) 457 (3) 1 (3) 91
Construction ................................. 260 404 21,526 35,561 65 81 5,382 7,112
Construction of buildings ................ 32 49 2,772 4,526 8 10 693 905
Heavy and civil engineering construction . 156 226 13,320 21,196 39 45 3,330 4,239
Specialty trade contractors .............. 72 129 5,434 9,839 18 26 1,359 1,968
Manufacturing ................................ 349 551 37,799 72,690 87 110 9,450 14,538
Food ..................................... 64 104 6,312 18,635 16 21 1,578 3,727
Beverage and tobacco products ............ 12 11 925 1,103 3 2 231 221
Textile mills ............................ 11 29 1,181 4,232 3 6 295 846
Textile product mills .................... 4 6 362 577 1 1 91 115
Apparel .................................. 7 20 1,198 1,621 2 4 300 324
Leather and allied products .............. - - - - - - - -
Wood products ............................ 25 21 2,410 1,611 6 4 603 322
Paper .................................... 12 11 851 1,031 3 2 213 206
Printing and related support activities .. 8 15 624 1,151 2 3 156 230
Petroleum and coal products .............. 3 18 160 1,415 1 4 40 283
Chemicals ................................ 5 15 394 1,296 1 3 99 259
Plastics and rubber products ............. 13 25 947 2,811 3 5 237 562
Nonmetallic mineral products ............. 20 21 1,360 1,835 5 4 340 367
Primary metals ........................... 13 42 1,092 4,376 3 8 273 875
Fabricated metal products ................ 17 47 1,315 5,110 4 9 329 1,022
Machinery ................................ 26 40 3,223 9,920 7 8 806 1,984
Computer and electronic products ......... 17 25 990 2,060 4 5 248 412
Electrical equipment and appliances ...... 8 14 745 2,378 2 3 186 476
Transportation equipment ................. 63 58 10,771 7,962 16 12 2,693 1,592
Furniture and related products ........... 14 22 2,285 2,554 4 4 571 511
Miscellaneous manufacturing .............. 7 7 654 1,012 2 1 164 202
Wholesale trade .............................. 18 49 1,414 5,081 5 10 354 1,016
Retail trade (4) ............................. 69 132 6,001 12,573 17 26 1,500 2,515
Building material and garden supply stores 11 10 826 890 3 2 207 178
Food and beverage stores ................. 16 31 1,372 3,330 4 6 343 666
Clothing and clothing accessories stores . 4 13 183 865 1 3 46 173
General merchandise stores ............... 23 43 2,525 5,111 6 9 631 1,022
Transportation and warehousing (4) ........... 72 169 6,993 19,052 18 34 1,748 3,810
Truck transportation ..................... 10 12 521 926 3 2 130 185
Transit and ground passenger
transportation ......................... 49 126 5,242 15,323 12 25 1,311 3,065
Support activities for transportation .... (3) 11 (3) 1,084 (3) 2 (3) 217
Information .................................. 33 32 3,682 3,884 8 6 921 777
Finance and insurance ........................ 17 22 2,061 1,629 4 4 515 326
Real estate and rental and leasing ........... (3) 10 (3) 653 (3) 2 (3) 131
Professional and technical services .......... 48 53 4,724 5,119 12 11 1,181 1,024
Management of companies and enterprises ...... 6 7 449 847 2 1 112 169
Administrative and waste services ............ 206 312 16,714 27,260 52 62 4,179 5,452
Educational services ......................... 7 9 434 628 2 2 109 126
Health care and social assistance ............ 26 51 2,233 5,336 7 10 558 1,067
Arts, entertainment, and recreation .......... 30 44 2,864 3,869 8 9 716 774
Accommodation and food services .............. 78 173 8,560 28,944 20 35 2,140 5,789
Accommodation ............................ 20 61 1,866 14,192 5 12 467 2,838
Food services and drinking places ........ 58 112 6,694 14,752 15 22 1,674 2,950
Other services, except public administration . 9 17 710 1,534 2 3 178 307
Unclassified ................................. - 1 - 44 - - - 9
Government ....................................... 61 96 4,456 9,453 15 19 1,114 1,891
Federal ...................................... 11 8 913 694 3 2 228 139
State ........................................ 19 28 1,384 2,733 5 6 346 547
State government education .............. 3 6 174 623 1 1 44 125
Local ........................................ 31 60 2,159 6,026 8 12 540 1,205
Local government education .............. 8 25 496 2,487 2 5 124 497
1 Average weekly analysis mitigates the effect of differing lengths of months. There were 4 weeks in November 2011 and 5 weeks in
November 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
November November November November November November November November
2011 2012 2011 2012 2011 2012 2011 2012
Total (2)................ 1,393 2,339 127,750 249,949 348 468 31,938 49,990
Northeast .................. 237 703 21,086 84,490 59 141 5,272 16,898
Connecticut ............ 9 9 805 1,344 2 2 201 269
Maine .................. (3) 10 (3) 1,193 (3) 2 (3) 239
Massachusetts .......... 16 14 1,248 1,608 4 3 312 322
New Hampshire .......... 4 5 296 378 1 1 74 76
New Jersey ............. 35 215 4,114 33,307 9 43 1,029 6,661
New York ............... 61 230 5,520 24,548 15 46 1,380 4,910
Pennsylvania ........... 102 209 8,178 20,958 26 42 2,045 4,192
Rhode Island ........... (3) 3 (3) 281 (3) 1 (3) 56
Vermont ................ 5 8 543 873 1 2 136 175
South ...................... 349 502 33,887 55,755 87 100 8,472 11,151
Alabama ................ 19 32 1,798 3,211 5 6 450 642
Arkansas ............... 19 25 1,843 3,594 5 5 461 719
Delaware ............... (3) (3) (3) (3) (3) (3) (3) (3)
District of Columbia ... (3) (3) (3) (3) (3) (3) (3) (3)
Florida ................ 53 57 3,420 4,783 13 11 855 957
Georgia ................ 28 29 2,372 4,489 7 6 593 898
Kentucky ............... 25 30 2,934 3,424 6 6 734 685
Louisiana .............. 17 12 1,404 1,379 4 2 351 276
Maryland (4) ........... 7 18 643 1,384 2 4 161 277
Mississippi ............ 17 18 1,607 1,477 4 4 402 295
North Carolina ......... 30 89 2,524 9,407 8 18 631 1,881
Oklahoma ............... 7 6 1,464 798 2 1 366 160
South Carolina ......... 9 21 894 3,009 2 4 224 602
Tennessee .............. 14 19 988 2,085 4 4 247 417
Texas .................. 73 97 8,862 11,680 18 19 2,216 2,336
Virginia ............... 26 33 2,788 3,850 7 7 697 770
West Virginia .......... (3) 9 (3) 675 (3) 2 (3) 135
Midwest .................... 391 498 40,372 57,438 98 100 10,093 11,488
Illinois ............... 57 86 5,056 12,919 14 17 1,264 2,584
Indiana ................ 32 36 4,367 5,474 8 7 1,092 1,095
Iowa ................... 22 33 2,797 3,540 6 7 699 708
Kansas ................. (3) 12 (3) 1,376 (3) 2 (3) 275
Michigan ............... 54 68 7,046 7,361 14 14 1,762 1,472
Minnesota .............. 36 56 2,991 5,184 9 11 748 1,037
Missouri ............... 22 30 1,440 2,974 6 6 360 595
Nebraska ............... 6 11 399 963 2 2 100 193
North Dakota ........... (3) 8 (3) 843 (3) 2 (3) 169
Ohio ................... 66 69 6,017 7,784 17 14 1,504 1,557
South Dakota ........... - - - - - - - -
Wisconsin .............. 90 89 9,359 9,020 23 18 2,340 1,804
West ....................... 416 636 32,405 52,266 104 127 8,101 10,453
Alaska ................. 6 9 395 1,325 2 2 99 265
Arizona ................ 7 10 666 788 2 2 167 158
California ............. 275 451 19,677 34,672 69 90 4,919 6,934
Colorado ............... 16 10 1,358 992 4 2 340 198
Hawaii ................. (3) (3) (3) (3) (3) (3) (3) (3)
Idaho .................. 17 20 1,214 1,626 4 4 304 325
Montana ................ 10 12 895 1,084 3 2 224 217
Nevada ................. 15 25 1,754 2,281 4 5 439 456
New Mexico ............. (3) 13 (3) 730 (3) 3 (3) 146
Oregon ................. 21 37 2,225 3,792 5 7 556 758
Utah ................... 10 (3) 704 (3) 3 (3) 176 (3)
Washington ............. 33 40 3,033 4,079 8 8 758 816
Wyoming ................ (3) (3) (3) (3) (3) (3) (3) (3)
Puerto Rico ............ 10 4 1,048 340 3 1 262 68
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
