For release 10:00 a.m. (EST) Thursday, February 23, 2012 USDL-12-0330 

 

Technical information: (202) 691-6392 • mlsinfo@bls.gov • www.bls.gov/mls 

Media contact: (202) 691-5902 • PressOffice@bls.gov 

MASS LAYOFFS – JANUARY 2012

Employers took 1,434 mass layoff actions in January involving 129,920 workers, seasonally adjusted, as 

measured by new filings for unemployment insurance benefits during the month, the U.S. Bureau of 

Labor Statistics reported today. Each mass layoff involved at least 50 workers from a single employer. 

Mass layoff events in January increased by 50 from December, while the number of associated initial 

claims decreased by 15,728. In January, 341 mass layoff events were reported in the manufacturing 

sector, seasonally adjusted, resulting in 33,597 initial claims. (See table 1.) 

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.0

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

Jan‐01 Jan‐02 Jan‐03 Jan‐04 Jan‐05 Jan‐06 Jan‐07 Jan‐08 Jan‐09 Jan‐10 Jan‐11 Jan‐12

Initial Claims Unemployment Rate

Total masslayoffinitial claims Manufacturingmasslayoffinitial claims Unemploymentrate

Chart 1. Masslayoff initial claims and unemployment rate, seasonally adjusted, January 2001‐January 2012   

The national unemployment rate was 8.3 percent in January, down from 8.5 percent the prior month and 

from 9.1 percent a year earlier. Total nonfarm payroll employment increased by 243,000 over the month 

and by 1,953,000 over the year. 

Changes to Mass Layoff Data 

Effective with this release, the Mass Layoff Statistics program updated the basis for industry 

classification from the 2007 North American Industry Classification System (NAICS) to the 2012 

NAICS. The new conversion reflects definitional changes within the utilities, construction, 

manufacturing, wholesale trade, and retail trade sectors. Several industry titles and descriptions were 

also updated. For more information on the 2012 NAICS update, visit 

www.census.gov/epcd/www/naics.html. For more information on the implementation of NAICS 2012 in 

the Mass Layoff Statistics program, visit www.bls.gov/mls/mls2012naics.htm. 
- 2 - 

Table A. Six-digit NAICS industries with the largest number of mass layoff initial claims

in January 2012, private nonfarm, not seasonally adjusted

Temporary help services 1

 ........................................ 13,692 1998 26,224 

School and employee bus transportation ................... 8,165 2010 15,131 

Discount department stores ...................................... 4,225 2010 8,065 

Professional employer organizations 1

 ....................... 3,157 2009 11,345 

Highway, street, and bridge construction ................... 2,889 2000 9,680 

Hotels and motels, except casino hotels .................... 2,537 2009 6,592 

Supermarkets and other grocery stores ..................... 2,515 2009 3,978 

Department stores, except discount .......................... 2,212 1998 5,600 

Full-service restaurants ............................................. 1,905 2009 2,658 

Motion picture and video production ........................ 1,649 1998 12,038 

1

 See the Technical Note for more information on these industries.

Industry Initial Claims

January peak

Year Initial claims

Industry Distribution (Not Seasonally Adjusted) 

The number of mass layoff events in January was 1,705, not seasonally adjusted, resulting in 141,703 

initial claims for unemployment insurance. (See table 2.) Over the year, the number of average weekly 

mass layoff events decreased by 86 to 426, and associated average weekly initial claims decreased by 

13,867 to 35,426. Sixteen 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 manufacturing. (See 

table 3.) The six-digit industry with the largest number of private nonfarm initial claims in January 2012 

was temporary help services. (See table A.) 

In January the manufacturing sector accounted for 25 percent of mass layoff events and 28 percent of 

associated initial claims in the private economy. A year earlier, manufacturing made up 28 percent of 

events and 32 percent of initial claims. Within manufacturing, the numbers of mass layoff claimants in 

January 2012 were greatest in transportation equipment and food. Fifteen of the 21 manufacturing 

subsectors experienced over-the-year decreases in average weekly initial claims, with the largest 

decrease occurring in transportation equipment. Five subsectors recorded January series’ lows in terms 

of average weekly initial claims—beverage and tobacco products, textile product mills, wood products, 

fabricated metal products, and transportation equipment. (See table 3.) 

Geographic Distribution (Not Seasonally Adjusted) 

Among the census regions, the South registered the greatest number of initial claims in January. All four 

regions experienced over-the-year decreases in average weekly initial claims, with the largest decline 

occurring in the Midwest. (See table 4.) 

Among the states, California recorded the highest number of mass layoff initial claims in January, 

followed by New York, Pennsylvania, and North Carolina. Forty-one states and the District of Columbia 
- 3 - 

experienced over-the-year declines in average weekly initial claims, led by California, Pennsylvania, 

and Michigan. (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 February 2012 is scheduled to be released on Friday, 

 March 23, 2012, at 10:00 a.m. (EDT). 
Technical Note 

The Mass Layoff Statistics (MLS) program is a federalstate 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. 

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 employer 

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, February 2008 to 

January 2012, seasonally adjusted

2008

February ........................................................ 1,724 179,955 1,567 168,003 485 60,752 

March ............................................................. 1,515 151,628 1,400 141,316 441 58,254 

April ............................................................... 1,290 128,643 1,157 117,639 453 57,044 

May ................................................................ 1,567 160,475 1,432 150,893 470 62,776 

June ............................................................... 1,612 163,425 1,471 152,133 491 68,862 

July ................................................................ 1,589 163,572 1,452 153,060 465 62,210 

August ........................................................... 1,763 181,853 1,632 172,147 578 77,464 

September ..................................................... 2,159 229,180 1,990 215,749 629 82,011 

October .......................................................... 2,201 226,853 2,043 213,454 698 93,252 

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 

Date

Total Private nonfarm Manufacturing

Events Initial

claimants Events Initial

claimants Events Initial

claimants
Table 2. Mass layoff events and initial claimants for unemployment insurance, February 2008 to 

January 2012, not seasonally adjusted

2008

February ........................................................ 1,269 119,508 1,178 113,587 361 42,527 

March ............................................................. 1,089 114,541 1,039 110,147 333 43,740 

April ............................................................... 1,272 130,810 1,172 121,625 394 48,188 

May ................................................................ 1,552 159,471 1,438 150,462 388 51,698 

June ............................................................... 1,622 166,742 1,315 140,916 309 42,097 

July ................................................................ 1,891 200,382 1,687 186,018 760 108,733 

August ........................................................... 1,427 139,999 1,343 133,146 414 51,912 

September ..................................................... 1,292 129,586 1,202 122,505 361 46,391 

October .......................................................... 2,125 221,784 1,917 205,553 689 100,457 

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 

Date

Total Private nonfarm Manufacturing

Events Initial

claimants Events Initial

claimants Events Initial

claimants
Table 3. Industry distribution: Mass layoff events and initial claimants for unemployment insurance, not seasonally adjusted

January January January January January January January January

2011 2012 2011 2012 2011 2012 2011 2012

 Total 2

 ........................................................................ 2,558 1,705 246,463 141,703 512 426 49,293 35,426 

Total, private .................................................................... 2,438 1,634 234,708 135,663 488 409 46,942 33,916 

 Agriculture, forestry, fishing and hunting ..................... 66 47 4,943 2,909 13 12 989 727 

 Total, private nonfarm ................................................... 2,372 1,587 229,765 132,754 474 397 45,953 33,189 

 Mining .......................................................................... 15 16 1,188 1,019 3 4 238 255 

 Utilities ......................................................................... 5 4 390 350 1 1 78 88 

 Construction ................................................................ 325 194 23,906 13,743 65 49 4,781 3,436 

 Construction of buildings ......................................... 47 33 3,426 2,429 9 8 685 607 

 Heavy and civil engineering construction ................ 137 69 10,392 4,786 27 17 2,078 1,197 

 Specialty trade contractors ...................................... 141 92 10,088 6,528 28 23 2,018 1,632 

 Manufacturing .............................................................. 693 415 75,006 38,021 139 104 15,001 9,505 

 Food ........................................................................ 94 56 9,313 4,964 19 14 1,863 1,241 

 Beverage and tobacco products .............................. 5 ( 3 ) 752 ( 3 ) 1 ( 3 ) 150 ( 3 )

 Textile mills .............................................................. 31 20 4,455 2,274 6 5 891 569 

 Textile product mills ................................................. 9 5 793 444 2 1 159 111 

 Apparel .................................................................... 20 17 1,776 1,899 4 4 355 475 

 Leather and allied products ..................................... ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 )

 Wood products ........................................................ 43 35 4,930 2,704 9 9 986 676 

 Paper ....................................................................... 14 8 1,049 833 3 2 210 208 

 Printing and related support activities ..................... 12 16 983 1,347 2 4 197 337 

 Petroleum and coal products ................................... ( 3 ) 4 ( 3 ) 273 ( 3 ) 1 ( 3 ) 68 

 Chemicals ................................................................ 18 13 1,612 1,064 4 3 322 266 

 Plastics and rubber products ................................... 51 24 4,569 1,931 10 6 914 483 

 Nonmetallic mineral products .................................. 56 36 4,239 2,569 11 9 848 642 

 Primary metals ........................................................ 23 15 3,046 1,649 5 4 609 412 

 Fabricated metal products ....................................... 51 23 4,174 1,643 10 6 835 411 

 Machinery ................................................................ 46 22 5,446 1,938 9 6 1,089 485 

 Computer and electronic products .......................... 14 15 1,020 876 3 4 204 219 

 Electrical equipment and appliances ....................... 15 11 1,572 1,797 3 3 314 449 

 Transportation equipment ....................................... 128 47 19,478 5,969 26 12 3,896 1,492 

 Furniture and related products ................................ 44 30 4,263 2,371 9 8 853 593 

 Miscellaneous manufacturing .................................. 14 13 1,073 1,113 3 3 215 278 

 Wholesale trade .......................................................... 32 29 2,839 2,262 6 7 568 566 

 Retail trade 4

 ............................................................... 241 181 27,038 16,612 48 45 5,408 4,153 

 Building material and garden supply stores ............ 21 16 1,777 1,501 4 4 355 375 

 Food and beverage stores ...................................... 28 31 2,743 2,575 6 8 549 644 

 Clothing and clothing accessories stores ................ 26 16 1,944 1,041 5 4 389 260 

 General merchandise stores ................................... 92 77 13,645 8,406 18 19 2,729 2,102 

 Transportation and warehousing 4

 ............................... 212 137 22,440 13,404 42 34 4,488 3,351 

 Truck transportation ................................................ 27 27 1,742 1,773 5 7 348 443 

 Transit and ground passenger transportation ......... 139 75 15,596 8,592 28 19 3,119 2,148 

 Support activities for transportation ......................... 5 5 384 324 1 1 77 81 

 Information .................................................................. 53 33 7,915 2,925 11 8 1,583 731 

 Finance and insurance ................................................ 31 30 2,758 2,076 6 8 552 519 

 Real estate and rental and leasing .............................. 17 4 1,150 207 3 1 230 52 

 Professional and technical services ............................ 52 45 4,019 3,084 10 11 804 771 

 Management of companies and enterprises ............... 6 6 439 432 1 2 88 108 

 Administrative and waste services .............................. 381 276 34,996 21,596 76 69 6,999 5,399 

 Educational services ................................................... 19 17 2,672 1,770 4 4 534 443 

 Health care and social assistance ............................... 56 36 3,880 2,053 11 9 776 513 

 Arts, entertainment, and recreation ............................. 55 33 5,494 3,107 11 8 1,099 777 

 Accommodation and food services ............................. 158 114 12,107 8,725 32 29 2,421 2,181 

 Accommodation ....................................................... 58 42 4,800 3,371 12 11 960 843 

 Food services and drinking places .......................... 100 72 7,307 5,354 20 18 1,461 1,339 

 Other services, except public administration ............... 21 12 1,528 1,019 4 3 306 255 

 Unclassified ................................................................ - 5 - 349 - 1 - 87 

Government ..................................................................... 120 71 11,755 6,040 24 18 2,351 1,510 

 Federal ........................................................................ 23 13 2,922 1,196 5 3 584 299 

 State ............................................................................ 32 25 3,272 2,576 6 6 654 644 

 State government education .................................. 13 9 911 602 3 2 182 151 

 Local ............................................................................ 65 33 5,561 2,268 13 8 1,112 567 

 Local government education .................................. 23 12 2,132 788 5 3 426 197 

 1

 Average weekly analysis mitigates the effect of differing 2 Data were reported by all states and the District of Columbia.

 lengths of months. There were 5 weeks in January 2011 3

 Data do not meet BLS or state agency disclosure standards.

 and 4 weeks in January 2012. Average weekly events 4

 Includes other industries not shown.

 and initial claimants may not sum to subtotals and totals NOTE: Dash represents zero.

 due to rounding.

Industry

Mass layoff totals Average weekly mass layoffs1

Events Initial claimants Events Initial claimants
Table 4. Region and state distribution: Mass layoff events and initial claimants for unemployment insurance,

not seasonally adjusted

January January January January January January January January

2011 2012 2011 2012 2011 2012 2011 2012

 Total 2 ................................................ 2,558 1,705 246,463 141,703 512 426 49,293 35,426

Northeast .............................................. 591 386 58,802 34,860 118 97 11,760 8,715

 Connecticut ...................................... 11 8 1,048 547 2 2 210 137

 Maine ............................................... 11 8 900 658 2 2 180 165

 Massachusetts ................................. 34 18 3,225 1,821 7 5 645 455

 New Hampshire ................................ 9 7 722 504 2 2 144 126

 New Jersey ...................................... 109 51 9,853 4,273 22 13 1,971 1,068

 New York .......................................... 207 166 24,950 17,607 41 42 4,990 4,402

 Pennsylvania .................................... 194 120 16,952 8,912 39 30 3,390 2,228

 Rhode Island .................................... 8 5 555 318 2 1 111 80

 Vermont ............................................ 8 3 597 220 2 1 119 55

South .................................................... 687 496 66,552 43,925 137 124 13,310 10,981

 Alabama ........................................... 70 55 7,730 6,489 14 14 1,546 1,622

 Arkansas .......................................... 6 19 768 1,389 1 5 154 347

 Delaware .......................................... 5 ( 3 ) 411 ( 3 ) 1 ( 3 ) 82 ( 3 ) District of Columbia .......................... ( 3 ) 4 ( 3 ) 263 ( 3 ) 1 ( 3 ) 66

 Florida .............................................. 128 87 9,464 6,044 26 22 1,893 1,511

 Georgia ............................................ 84 41 8,952 4,097 17 10 1,790 1,024

 Kentucky .......................................... 47 33 5,472 2,847 9 8 1,094 712

 Louisiana .......................................... 29 8 2,309 518 6 2 462 130

 Maryland .......................................... 25 10 1,888 624 5 3 378 156

 Mississippi ........................................ 13 13 1,163 737 3 3 233 184

 North Carolina .................................. 100 84 9,865 7,468 20 21 1,973 1,867

 Oklahoma ......................................... 11 6 1,048 443 2 2 210 111

 South Carolina ................................. 41 32 5,124 3,475 8 8 1,025 869

 Tennessee ....................................... 26 24 2,143 1,820 5 6 429 455

 Texas ............................................... 54 51 5,039 3,981 11 13 1,008 995

 Virginia ............................................. 42 25 4,497 3,362 8 6 899 841

 West Virginia .................................... ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 )

Midwest ................................................ 613 386 63,468 31,060 123 97 12,694 7,765

 Illinois ............................................... 86 55 7,516 4,823 17 14 1,503 1,206

 Indiana ............................................. 43 40 6,487 3,594 9 10 1,297 899

 Iowa .................................................. 39 17 4,007 1,271 8 4 801 318

 Kansas ............................................. 23 8 5,440 815 5 2 1,088 204

 Michigan ........................................... 127 53 10,398 3,962 25 13 2,080 991

 Minnesota ......................................... 19 20 1,988 1,591 4 5 398 398

 Missouri ............................................ 55 42 4,713 2,860 11 11 943 715

 Nebraska .......................................... 9 ( 3 ) 1,086 ( 3 ) 2 ( 3 ) 217 ( 3 ) North Dakota .................................... ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) Ohio .................................................. 93 67 9,241 5,630 19 17 1,848 1,408

 South Dakota ................................... ( 3 ) - ( 3 ) - ( 3 ) - ( 3 ) -

 Wisconsin ......................................... 115 78 12,148 6,014 23 20 2,430 1,504

West ..................................................... 667 437 57,641 31,858 133 109 11,528 7,965

 Alaska .............................................. ( 3 ) 8 ( 3 ) 731 ( 3 ) 2 ( 3 ) 183

 Arizona ............................................. 13 ( 3 ) 1,075 ( 3 ) 3 ( 3 ) 215 ( 3 ) California .......................................... 530 342 44,274 23,787 106 86 8,855 5,947

 Colorado ........................................... 11 5 1,126 556 2 1 225 139

 Hawaii .............................................. 6 4 388 316 1 1 78 79

 Idaho ................................................ 8 6 698 445 2 2 140 111

 Montana ........................................... 6 5 560 503 1 1 112 126

 Nevada ............................................. 12 14 1,299 1,323 2 4 260 331

 New Mexico ...................................... 7 5 467 299 1 1 93 75

 Oregon ............................................. 36 19 4,390 1,699 7 5 878 425

 Utah .................................................. 7 7 720 514 1 2 144 129

 Washington ...................................... 25 18 2,151 1,446 5 5 430 362

 Wyoming .......................................... ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 )

 Puerto Rico ...................................... 25 15 2,854 1,205 5 4 571 301

1

 See footnote 1, table 3. 3 Data do not meet BLS or state agency disclosure standards.

2

 See footnote 2, table 3. NOTE: Dash represents zero.

Census region and state

Mass layoff totals Average weekly mass layoffs1

Events Initial Claimants Events Initial Claimants