For release 10:00 a.m. (EST) Tuesday, February 26, 2013 USDL-13-0286 

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

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

MASS LAYOFFS — JANUARY 2013 

Employers took 1,328 mass layoff actions in January involving 134,026 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 181 from December, and the number of associated 

initial claims decreased by 3,813. In January, 357 mass layoff events were reported in the manufacturing 

sector resulting in 43,068 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.) 

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‐02 Jan‐03 Jan‐04 Jan‐05 Jan‐06 Jan‐07 Jan‐08 Jan‐09 Jan‐10 Jan‐11 Jan‐12 Jan‐13

Initial Claims Unemployment Rate

Total masslayoff initial claims Manufacturing mass layoff initial claims Unemployment rate

Chart 1. Masslayoff initial claims and unemployment rate, seasonally adjusted, January 2002‐January 2013   

 

The national unemployment rate was 7.9 percent in January, essentially unchanged from the prior month 

and down from 8.3 percent a year earlier. Total nonfarm payroll employment increased by 157,000 over 

the month and by 2,016,000 over the year. 

Industry Distribution (Not Seasonally Adjusted) 

The number of mass layoff events in January was 1,528, not seasonally adjusted, resulting in 144,517 

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

mass layoff events for January decreased by 44 to 382, while associated average weekly initial claims 

increased by 703 to 36,129. Eight of the 19 major industry sectors in the private economy reported overthe-year increases in average weekly initial claims, with the largest increase occurring in manufacturing. 

(See table 3.) The six-digit industry with the largest number of private nonfarm initial claims due to 

mass layoffs in January was temporary help services. (See table A.) 

In January, the manufacturing sector accounted for 31 percent of mass layoff events and 37 percent of 
- 2 - 

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

in January 2013, private nonfarm, not seasonally adjusted

Temporary help services 1

 ........................................ 14,937 1998 26,224 

Highway, street, and bridge construction ................... 3,772 2000 9,680 

Discount department stores ...................................... 3,440 2010 8,065 

Professional employer organizations 1

 ....................... 3,274 2009 11,345 

Motion picture and video production ........................ 3,242 1998 12,038 

School and employee bus transportation ................... 2,520 2010 15,131 

Food service contractors .......................................... 2,316 2011 3,439 

Payroll services ........................................................ 2,266 2002 8,686 

Poultry processing .................................................... 2,046 2013 2,046 

Warehouse clubs and supercenters ........................... 2,009 2011 3,508 

1

 See the Technical Note for more information on these industries.

Industry Initial claims

January peak

Year Initial claims

associated initial claims in the private economy. Within manufacturing, the numbers of mass layoff 

claimants were highest in transportation equipment and in food. Eleven of the 21 manufacturing 

subsectors experienced over-the-year increases in average weekly initial claims. (See table 3.) 

Geographic Distribution (Not Seasonally Adjusted) 

Among the census regions, the South had the largest number of initial claims due to mass layoffs in 

January. Three of the 4 regions experienced over-the-year increases in average weekly initial claims, 

with the largest increase occurring in the South. (See table 4.) 

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

by North Carolina, Alabama, and New York. Twenty-five states 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 new release for February 2013 is scheduled to be released on Friday, March 22, 

2013, 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. 

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 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 2009 to January 2013,

seasonally adjusted

2009

February ........................................................ 3,079 334,171 2,921 318,194 1,274 152,592 

March ............................................................. 3,022 304,175 2,827 287,023 1,261 158,119 

April ............................................................... 2,537 246,938 2,332 231,211 1,022 114,682 

May ................................................................ 2,712 286,089 2,522 270,051 1,206 151,114 

June ............................................................... 2,470 248,680 2,261 231,529 1,063 140,105 

July ................................................................ 2,184 222,776 1,976 203,347 639 76,345 

August ........................................................... 2,358 218,380 2,119 198,877 743 75,387 

September ..................................................... 2,274 216,959 2,054 200,863 754 90,250 

October .......................................................... 1,970 196,370 1,775 178,648 567 64,681 

November ...................................................... 1,764 159,283 1,598 146,802 469 51,887 

December ...................................................... 1,720 155,738 1,549 141,699 425 44,455 

2010

January .......................................................... 1,699 169,561 1,522 155,298 461 53,303 

February ........................................................ 1,647 161,694 1,480 147,259 387 47,272 

March ............................................................. 1,703 153,784 1,501 138,188 373 43,022 

April ............................................................... 1,622 154,962 1,442 138,849 378 44,860 

May ................................................................ 1,585 150,959 1,345 131,482 317 31,677 

June ............................................................... 1,701 152,080 1,481 133,366 335 34,653 

July ................................................................ 1,521 137,750 1,315 121,313 303 32,064 

August ........................................................... 1,612 162,455 1,409 138,849 384 41,123 

September ..................................................... 1,526 137,074 1,303 117,582 310 33,906 

October .......................................................... 1,661 149,985 1,454 132,373 349 38,157 

November ...................................................... 1,584 153,394 1,407 138,925 353 38,097 

December ...................................................... 1,476 136,252 1,277 121,849 322 36,611 

2011

January .......................................................... 1,522 150,406 1,335 132,659 327 37,431 

February ........................................................ 1,456 137,938 1,263 123,141 312 30,036 

March ............................................................. 1,307 119,691 1,156 106,721 269 31,699 

April ............................................................... 1,526 145,315 1,366 130,841 352 37,177 

May ................................................................ 1,573 144,824 1,387 129,296 399 42,238 

June ............................................................... 1,522 144,060 1,342 129,136 359 38,630 

July ................................................................ 1,566 144,543 1,347 123,815 342 35,458 

August ........................................................... 1,585 168,266 1,364 153,081 374 46,267 

September ..................................................... 1,463 150,165 1,319 136,564 346 37,505 

October .......................................................... 1,349 118,135 1,220 106,478 335 32,310 

November ...................................................... 1,312 123,078 1,177 113,239 312 33,715 

December ...................................................... 1,392 144,661 1,247 129,994 346 38,469 

2012

January .......................................................... 1,435 129,169 1,298 118,127 325 32,503 

February ........................................................ 1,275 120,199 1,134 109,458 283 28,236 

March ............................................................. 1,290 125,195 1,141 112,889 269 28,300 

April ............................................................... 1,403 138,164 1,235 122,236 294 34,929 

May ................................................................ 1,370 131,603 1,220 119,788 277 31,873 

June ............................................................... 1,320 133,080 1,178 120,857 282 31,737 

July ................................................................ 1,354 138,694 1,217 128,186 355 43,427 

August ........................................................... 1,297 130,266 1,172 120,391 322 39,389 

September ..................................................... 1,346 125,692 1,223 116,792 365 40,287 

October .......................................................... 1,400 136,153 1,249 125,026 346 42,927 

November ...................................................... 1,749 172,879 1,574 159,872 412 47,171 

December ...................................................... 1,509 137,839 1,334 125,505 330 35,211 

2013

January .......................................................... 1,328 134,026 1,197 123,088 357 43,068 

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 2009 to January 2013,

not seasonally adjusted

2009

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 

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 

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

2012 2013 2012 2013 2012 2013 2012 2013

 Total 2

 ....................................................................... 1,705 1,528 141,703 144,517 426 382 35,426 36,129 

Total, private ................................................................... 1,634 1,466 135,663 139,018 409 367 33,916 34,755 

 Agriculture, forestry, fishing and hunting .................... 47 42 2,909 3,048 12 11 727 762 

 Total, private nonfarm ................................................... 1,587 1,424 132,754 135,970 397 356 33,189 33,993 

 Mining ......................................................................... 16 11 1,019 811 4 3 255 203 

 Utilities ........................................................................ 4 ( 3 ) 350 ( 3 ) 1 ( 3 ) 88 ( 3 )

 Construction ............................................................... 194 188 13,743 13,212 49 47 3,436 3,303 

 Construction of buildings ........................................ 33 21 2,429 1,513 8 5 607 378 

 Heavy and civil engineering construction ............... 69 88 4,786 6,544 17 22 1,197 1,636 

 Specialty trade contractors ..................................... 92 79 6,528 5,155 23 20 1,632 1,289 

 Manufacturing ............................................................. 415 455 38,021 50,793 104 114 9,505 12,698 

 Food ....................................................................... 56 58 4,964 6,530 14 15 1,241 1,633 

 Beverage and tobacco products ............................. ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 )

 Textile mills ............................................................. 20 35 2,274 4,550 5 9 569 1,138 

 Textile product mills ................................................ 5 5 444 403 1 1 111 101 

 Apparel ................................................................... 17 16 1,899 2,149 4 4 475 537 

 Leather and allied products .................................... ( 3 ) 4 ( 3 ) 485 ( 3 ) 1 ( 3 ) 121 

 Wood products ....................................................... 35 26 2,704 2,517 9 7 676 629 

 Paper ...................................................................... 8 5 833 314 2 1 208 79 

 Printing and related support activities ..................... 16 5 1,347 483 4 1 337 121 

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

 Chemicals ............................................................... 13 10 1,064 849 3 3 266 212 

 Plastics and rubber products .................................. 24 20 1,931 1,761 6 5 483 440 

 Nonmetallic mineral products ................................. 36 19 2,569 1,317 9 5 642 329 

 Primary metals ........................................................ 15 26 1,649 2,274 4 7 412 569 

 Fabricated metal products ...................................... 23 29 1,643 2,522 6 7 411 631 

 Machinery ............................................................... 22 34 1,938 5,404 6 9 485 1,351 

 Computer and electronic products .......................... 15 15 876 1,287 4 4 219 322 

 Electrical equipment and appliances ...................... 11 18 1,797 2,099 3 5 449 525 

 Transportation equipment ....................................... 47 86 5,969 11,930 12 22 1,492 2,983 

 Furniture and related products ............................... 30 32 2,371 3,047 8 8 593 762 

 Miscellaneous manufacturing ................................. 13 7 1,113 488 3 2 278 122 

 Wholesale trade .......................................................... 29 28 2,262 2,334 7 7 566 584 

 Retail trade 4

 ............................................................... 181 136 16,612 13,622 45 34 4,153 3,406 

 Building material and garden supply stores ............ 16 8 1,501 1,011 4 2 375 253 

 Food and beverage stores ...................................... 31 25 2,575 1,882 8 6 644 471 

 Clothing and clothing accessories stores ............... 16 14 1,041 945 4 4 260 236 

 General merchandise stores .................................. 77 52 8,406 7,502 19 13 2,102 1,876 

 Transportation and warehousing 4

 ............................. 137 87 13,404 6,419 34 22 3,351 1,605 

 Truck transportation ................................................ 27 22 1,773 1,268 7 6 443 317 

 Transit and ground passenger transportation ......... 75 35 8,592 2,667 19 9 2,148 667 

 Support activities for transportation ........................ 5 7 324 603 1 2 81 151 

 Information .................................................................. 33 36 2,925 5,477 8 9 731 1,369 

 Finance and insurance ............................................... 30 25 2,076 2,226 8 6 519 557 

 Real estate and rental and leasing ............................. 4 3 207 178 1 1 52 45 

 Professional and technical services ........................... 45 41 3,084 5,684 11 10 771 1,421 

 Management of companies and enterprises .............. 6 7 432 976 2 2 108 244 

 Administrative and waste services ............................. 276 237 21,596 22,170 69 59 5,399 5,543 

 Educational services ................................................... 17 10 1,770 609 4 3 443 152 

 Health care and social assistance .............................. 36 23 2,053 1,461 9 6 513 365 

 Arts, entertainment, and recreation ............................ 33 32 3,107 2,455 8 8 777 614 

 Accommodation and food services ............................. 114 86 8,725 6,391 29 22 2,181 1,598 

 Accommodation ...................................................... 42 29 3,371 2,345 11 7 843 586 

 Food services and drinking places ......................... 72 57 5,354 4,046 18 14 1,339 1,012 

 Other services, except public administration .............. 12 12 1,019 805 3 3 255 201 

 Unclassified ................................................................ 5 ( 3 ) 349 ( 3 ) 1 ( 3 ) 87 ( 3 )

Government .................................................................... 71 62 6,040 5,499 18 16 1,510 1,375 

 Federal ....................................................................... 13 9 1,196 933 3 2 299 233 

 State ........................................................................... 25 19 2,576 1,435 6 5 644 359 

 State government education .................................. 9 8 602 443 2 2 151 111 

 Local ........................................................................... 33 34 2,268 3,131 8 9 567 783 

 Local government education ................................. 12 12 788 1,350 3 3 197 338 

 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 4 weeks in January 2012 3

 Data do not meet BLS or state agency disclosure standards.

 and 4 weeks in January 2013. 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

2012 2013 2012 2013 2012 2013 2012 2013

 Total 2 ................................................ 1,705 1,528 141,703 144,517 426 382 35,426 36,129

Northeast ............................................. 386 272 34,860 21,049 97 68 8,715 5,262

 Connecticut ...................................... 8 11 547 771 2 3 137 193

 Maine ............................................... 8 10 658 899 2 3 165 225

 Massachusetts ................................. 18 7 1,821 587 5 2 455 147

 New Hampshire ............................... 7 - 504 - 2 - 126 -

 New Jersey ...................................... 51 36 4,273 2,933 13 9 1,068 733

 New York ......................................... 166 97 17,607 8,000 42 24 4,402 2,000

 Pennsylvania ................................... 120 105 8,912 7,265 30 26 2,228 1,816

 Rhode Island .................................... 5 ( 3 ) 318 ( 3 ) 1 ( 3 ) 80 ( 3 ) Vermont ........................................... 3 ( 3 ) 220 ( 3 ) 1 ( 3 ) 55 ( 3 )

South ................................................... 496 515 43,925 52,634 124 129 10,981 13,159

 Alabama ........................................... 55 82 6,489 8,434 14 21 1,622 2,109

 Arkansas .......................................... 19 15 1,389 1,963 5 4 347 491

 Delaware .......................................... ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) District of Columbia .......................... 4 3 263 259 1 1 66 65

 Florida .............................................. 87 56 6,044 3,784 22 14 1,511 946

 Georgia ............................................ 41 63 4,097 6,616 10 16 1,024 1,654

 Kentucky .......................................... 33 24 2,847 1,738 8 6 712 435

 Louisiana ......................................... 8 9 518 545 2 2 130 136

 Maryland 4

 ........................................ 10 21 624 1,539 3 5 156 385

 Mississippi ....................................... 13 9 737 434 3 2 184 109

 North Carolina .................................. 84 100 7,468 11,999 21 25 1,867 3,000

 Oklahoma ........................................ 6 3 443 241 2 1 111 60

 South Carolina ................................. 32 47 3,475 6,739 8 12 869 1,685

 Tennessee ....................................... 24 14 1,820 934 6 4 455 234

 Texas ............................................... 51 35 3,981 3,611 13 9 995 903

 Virginia ............................................. 25 31 3,362 3,583 6 8 841 896

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

Midwest ................................................ 386 339 31,060 31,994 97 85 7,765 7,999

 Illinois ............................................... 55 53 4,823 6,251 14 13 1,206 1,563

 Indiana ............................................. 40 22 3,594 2,138 10 6 899 535

 Iowa ................................................. 17 22 1,271 2,045 4 6 318 511

 Kansas ............................................. 8 7 815 622 2 2 204 156

 Michigan .......................................... 53 54 3,962 3,727 13 14 991 932

 Minnesota ........................................ 20 13 1,591 1,039 5 3 398 260

 Missouri ........................................... 42 41 2,860 4,037 11 10 715 1,009

 Nebraska ......................................... ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) North Dakota .................................... ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) ( 3 ) Ohio ................................................. 67 62 5,630 6,460 17 16 1,408 1,615

 South Dakota ................................... --------

 Wisconsin ........................................ 78 57 6,014 4,994 20 14 1,504 1,249

West ..................................................... 437 402 31,858 38,840 109 101 7,965 9,710

 Alaska .............................................. 8 ( 3 ) 731 ( 3 ) 2 ( 3 ) 183 ( 3 ) Arizona ............................................. ( 3 ) 5 ( 3 ) 585 ( 3 ) 1 ( 3 ) 146

 California .......................................... 342 303 23,787 29,088 86 76 5,947 7,272

 Colorado .......................................... 5 11 556 1,787 1 3 139 447

 Hawaii .............................................. 4 6 316 453 1 2 79 113

 Idaho ................................................ 6 9 445 670 2 2 111 168

 Montana ........................................... 5 7 503 543 1 2 126 136

 Nevada ............................................ 14 11 1,323 950 4 3 331 238

 New Mexico ..................................... 5 - 299 - 1 - 75 -

 Oregon ............................................. 19 23 1,699 2,880 5 6 425 720

 Utah ................................................. 7 7 514 526 2 2 129 132

 Washington ...................................... 18 17 1,446 1,167 5 4 362 292

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

 Puerto Rico ...................................... 15 15 1,205 1,383 4 4 301 346

1

 See footnote 1, table 3. 4 Data starting in June 2012 may not be comparable to prior data 2

 See footnote 2, table 3. due to a change in MLS unemployment insurance procedures.

3

 Data do not meet BLS or state agency disclosure standards. NOTE: Dash represents zero.

Census region and state

Mass layoff totals Average weekly mass layoffs1

Events Initial claimants Events Initial claimants