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Technical information: (202) 691-6392 USDL 09-0416 http://www.bls.gov/mls/ For release: 10:00 A.M. (EDT) Media contact: (202) 691-5902 Thursday, April 23, 2009 MASS LAYOFFS IN MARCH 2009 Employers took 2,933 mass layoff actions in March that resulted in the separation of 299,388 workers, seasonally adjusted, as measured by new filings for unemployment insurance benefits during the month, the Bureau of Labor Statistics of the U.S. Department of Labor reported to- day. Each action involved at least 50 persons from a single employer. The number of mass layoff events in March increased by 164 from the prior month, while the number of associated initial claims increased by 3,911. Over the year, the number of mass layoff events increased by 1,348, and the number of associated initial claims increased by 137,891. In March, the manufacturing sector experienced 1,259 mass layoff events, seasonally adjusted, resulting in 155,909 initial claims. Over the month, mass layoff events in manufacturing increased by 24, and initial claims increased by 3,291. (See table 1.) Layoff events and initial claims rose to their highest levels on record, with data available back to 1995; events in the manufacturing sector also reached its highest level. During the 16 months from December 2007 through March 2009, the total number of mass layoff events (seasonally adjusted) was 31,414, and the number of initial claims (seasonally adjusted) was 3,227,201. (December 2007 was the start of a recession as designated by the National Bureau of Economic Research.) The national unemployment rate was 8.5 percent in March 2009, sea- sonally adjusted, up from 8.1 percent the prior month and from 5.1 per- cent a year earlier. In March, total nonfarm payroll employment de- creased by 663,000 over the month and by 4,795,000 from a year earlier. Industry Distribution (Not Seasonally Adjusted) The number of mass layoff events in March was 2,191 on a not sea- sonally adjusted basis; the number of associated initial claims was 228,387. (See table 2.) Over the year, increases were recorded in both the number of mass layoff events (+1,102) and initial claims (+113,846). This year, both average weekly events and initial claim- ants reached their highest March levels in program history; data are available back to 1996. (Average weekly analysis mitigates the effect of differing lengths of months. See the Technical Note.) Thirteen of the 19 major industry sectors reported program highs in terms of average weekly initial claimants for the month of March--mining; con- struction; manufacturing; wholesale trade; retail trade; information; finance and insurance; real estate and rental and leasing; professional and technical services; management of companies and enterprises; admini- strative and waste services; arts, entertainment, and recreation; and accommodation and food services. The manufacturing sector accounted for 43 percent of all mass layoff events and 50 percent of initial claims filed in March 2009; a year earlier, manufacturing made up 31 percent of events and 38 percent of initial claims. This March, the number of manufacturing claimants was greatest in transportation equipment (26,012) and machinery (18,081). (See table 3.) The retail trade industry accounted for 8 percent of mass layoff events and 9 percent of associated initial claims during the month. Of the 10 detailed industries with the largest number of mass layoff initial claims, 6 reached their March peak. The six-digit NAICS industry with the largest number of initial claims was temporary help services (9,964). (See table A.) - 2 - Table A. Industries with the largest number of mass layoff initial claims in March 2009 March peak Industry Initial claims Year Initial claims Temporary help services (1) ................... 9,964 2002 14,338 Construction machinery manufacturing .......... 7,933 2009 7,933 Food service contractors ...................... 6,475 2007 7,636 Radio, TV, and other electronics stores ....... 5,867 2009 5,867 Motion picture and video production ........... 4,919 2005 7,192 Professional employer organizations (1) ....... 4,892 2009 4,892 Motor vehicle power train components mfg. ..... 4,843 2009 4,843 Light truck and utility vehicle manufacturing . 4,446 2009 4,446 School and employee bus transportation ........ 4,070 2008 8,073 Semiconductors and related device mfg. ........ 3,476 2009 3,476 1 See the Technical Note for more information on these industries. Geographic Distribution (Not Seasonally Adjusted) Of the 4 census regions, the Midwest registered the highest number of initial claims in March due to mass layoffs (81,957), followed by the South (61,432) and the West (55,505). (See table 5.) Initial claims associated with mass layoffs increased over the year in all 4 regions, with the Midwest (+47,072) and the South (+33,335) experiencing the largest increases. In 2009, all four regions reported their highest March levels of average weekly initial claims in program history. Of the 9 geographic divisions, the East North Central (64,595) had the highest number of initial claims due to mass layoffs in March, fol- lowed by the Pacific (44,514) and the South Atlantic (27,819). (See table 5.) All divisions experienced over-the-year increases in initial claims, led by the East North Central (+36,748) and the Pacific (+18,158). This year, all divisions except the Pacific reached March program highs in terms of initial claims. California recorded the highest number of initial claims filed due to mass layoff events in March with 38,130. The states with the next highest number of mass layoff initial claims were Illinois (18,096), Texas (14,284), and Ohio (13,067). (See table 6.) Forty-three states registered over-the-year increases in initial claims associated with mass layoffs, led by California (+16,318), Illinois (+11,402), and Texas (+9,179). In 2009, 26 states reached program highs in average weekly initial claims for the month of March--Alabama, Arizona, Colorado, Connecticut, Florida, Georgia, Idaho, Illinois, Iowa, Kentucky, Maine, Massachusetts, Minnesota, Montana, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Rhode Island, South Carolina, South Dakota, Texas, Utah, and Wisconsin. - 3 - 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 re- lease 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 establish- ment and on the demographics of the laid-off workers. Because monthly figures include short-term layoffs of 30 days or less, the sum of the figures for the 3 months in a quarter will be higher than the quarterly figure for mass layoffs of more than 30 days. (See table 4.) See the Technical Note for more detailed definitions. ______________________________ The report on Extended Mass Layoffs in the First Quarter of 2009 is scheduled to be released on Tuesday, May 12. The report on Mass Layoffs in April 2009 is scheduled to be released on Friday, May 22.
- 4 - 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. 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, analysis of over-the-month and over-the-year change in not seasonally adjusted series should take this calendar effect into consideration. 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; TDD message referral phone number: 1-800-877-8339. Definitions 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 adminis- tered 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 insur- ance benefits filed against an employer during a 5-week period, regardless of duration. - 5 - Seasonal adjustment Effective with the release of data for January 2005, BLS began publish- ing 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 expan- sions and contractions. The MLS data are seasonally adjusted using the X-12-ARIMA seasonal adjust- ment method on a concurrent basis. Concurrent seasonal adjustment uses all available monthly estimates, including those for the current month, in devel- oping 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 sea- sonal factors if they were ignored in the seasonal adjustment process. These effects are modeled in the X-12-ARIMA program and are permanently removed from the final seasonally adjusted series.
Table 1. Mass layoff events and initial claimants for unemployment insurance, April 2005 to March 2009, seasonally adjusted Total Private nonfarm Manufacturing Date Initial Initial Initial Events claimants Events claimants Events claimants 2005 April ...................... 1,244 134,425 1,111 123,958 396 60,052 May ........................ 1,264 137,475 1,121 124,468 397 54,998 June ....................... 1,196 126,416 1,082 117,568 367 58,003 July ....................... 1,241 130,331 1,094 117,510 354 46,056 August ..................... 1,143 125,536 1,000 113,465 342 47,255 September .................. 2,250 296,913 2,035 252,291 420 55,974 October .................... 1,109 111,202 991 102,111 320 43,387 November ................... 1,162 113,502 1,027 102,058 325 41,493 December ................... 1,263 136,751 1,135 125,700 358 46,940 2006 January .................... 1,112 111,601 986 102,359 293 35,390 February ................... 960 104,045 872 96,317 317 41,810 March ...................... 1,078 118,270 976 109,842 320 48,026 April ...................... 1,198 123,674 1,062 113,849 366 50,747 May ........................ 1,132 116,808 1,013 106,743 312 42,958 June ....................... 1,156 124,955 1,044 115,491 356 45,280 July ....................... 1,204 123,172 1,077 113,324 381 50,109 August ..................... 1,278 136,289 1,117 125,064 376 60,524 September .................. 1,167 124,083 1,054 115,451 390 46,470 October .................... 1,195 121,439 1,081 112,777 401 53,597 November ................... 1,209 131,459 1,096 122,136 402 57,084 December ................... 1,201 133,311 1,100 124,019 369 51,113 2007 January .................... 1,261 129,190 1,116 118,890 406 55,341 February ................... 1,240 134,524 1,130 126,105 404 58,861 March ...................... 1,261 129,480 1,151 120,923 407 52,356 April ...................... 1,281 130,263 1,145 119,683 381 45,654 May ........................ 1,200 119,259 1,097 111,585 368 48,682 June ....................... 1,256 132,078 1,138 122,726 356 41,135 July ....................... 1,288 131,556 1,182 123,322 405 53,318 August ..................... 1,262 125,334 1,162 117,557 331 36,577 September .................. 1,279 125,527 1,183 118,917 440 54,006 October .................... 1,346 133,514 1,224 124,666 436 57,527 November ................... 1,352 143,419 1,233 134,445 408 56,330 December ................... 1,469 145,916 1,354 136,914 447 56,152 2008 January .................... 1,476 149,068 1,350 139,076 435 56,579 February ................... 1,669 183,038 1,532 172,013 526 67,235 March ...................... 1,585 161,497 1,471 151,550 483 65,252 April ...................... 1,344 135,352 1,215 125,074 487 63,247 May ........................ 1,701 180,558 1,563 170,538 538 75,520 June ....................... 1,717 174,748 1,561 162,071 555 79,744 July ....................... 1,535 152,499 1,390 141,239 455 57,648 August ..................... 1,887 188,951 1,735 178,479 626 80,913 September .................. 2,290 240,721 2,114 226,492 643 86,617 October .................... 2,204 230,330 2,042 216,095 687 92,256 November ................... 2,333 225,639 2,185 213,288 868 100,643 December ................... 2,275 226,117 2,100 212,559 871 105,402 2009 January .................... 2,227 237,902 2,070 225,490 738 102,577 February ................... 2,769 295,477 2,628 281,500 1,235 152,618 March ...................... 2,933 299,388 2,751 283,989 1,259 155,909
Table 2. Mass layoff events and initial claimants for unemployment insurance, April 2005 to March 2009, not seasonally adjusted Total Private nonfarm Manufacturing Date Initial Initial Initial Events claimants Events claimants Events claimants 2005 April ...................... 1,373 158,582 1,263 148,133 395 59,129 May ........................ 986 101,358 891 93,332 249 30,424 June ....................... 1,157 120,463 941 103,307 216 32,783 July ....................... 1,981 244,216 1,745 222,377 856 136,210 August ..................... 645 67,582 598 63,484 188 22,531 September .................. 1,662 213,281 1,505 179,042 318 47,497 October .................... 905 91,941 757 80,694 249 37,276 November ................... 1,254 116,127 1,079 102,182 363 41,442 December ................... 2,323 254,258 2,168 242,753 706 96,382 2006 January .................... 1,245 117,946 1,123 108,701 331 35,097 February ................... 719 66,555 658 62,208 210 24,892 March ...................... 921 111,838 856 106,177 285 44,688 April ...................... 1,140 121,589 1,038 112,964 296 39,538 May ........................ 872 84,809 794 78,663 192 23,570 June ....................... 1,489 164,761 1,224 140,687 319 41,095 July ....................... 1,511 166,857 1,335 154,342 648 96,152 August ..................... 708 72,844 656 69,054 203 28,494 September .................. 865 87,699 785 81,274 296 39,076 October .................... 964 98,804 820 88,133 311 46,737 November ................... 1,315 136,186 1,172 125,009 455 58,473 December ................... 2,249 254,503 2,126 244,783 735 105,462 2007 January .................... 1,407 134,984 1,263 124,475 456 53,615 February ................... 935 86,696 861 82,097 273 36,170 March ...................... 1,082 123,974 1,015 118,431 367 49,886 April ...................... 1,219 127,444 1,115 118,040 309 35,229 May ........................ 923 85,816 856 81,153 224 26,527 June ....................... 1,599 172,810 1,318 148,669 313 36,571 July ....................... 1,599 175,419 1,450 164,939 684 101,390 August ..................... 963 93,458 908 88,345 220 23,361 September .................. 717 67,385 667 64,026 246 29,381 October .................... 1,083 108,455 929 97,716 338 50,918 November ................... 1,799 198,220 1,593 181,184 514 75,413 December ................... 2,167 224,214 2,071 216,898 699 91,754 2008 January .................... 1,647 154,503 1,520 144,191 488 54,418 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
Table 3. Industry distribution: Mass layoff events and initial claimants for unemployment insurance Initial claimants for Mass layoff events unemployment insurance Industry March January February March March January February March 2008 2009 2009 2009 2008 2009 2009 2009 Seasonally adjusted Total ..................................... 1,585 2,227 2,769 2,933 161,497 237,902 295,477 299,388 Total, private nonfarm ........................ 1,471 2,070 2,628 2,751 151,550 225,490 281,500 283,989 Manufacturing ............................... 483 738 1,235 1,259 65,252 102,577 152,618 155,909 Not seasonally adjusted Total (1) ................................. 1,089 3,806 2,262 2,191 114,541 388,813 218,438 228,387 Total, private .................................. 1,063 3,709 2,215 2,140 111,984 380,158 213,548 223,981 Agriculture, forestry, fishing and hunting .. 24 76 42 33 1,837 4,865 2,793 2,584 Total, private nonfarm ........................ 1,039 3,633 2,173 2,107 110,147 375,293 210,755 221,397 Mining ...................................... (2) 50 35 31 (2) 4,538 3,379 3,751 Utilities ................................... (2) (2) (2) 3 (2) (2) (2) 234 Construction ................................ 119 388 199 166 7,891 27,762 14,040 11,612 Manufacturing ............................... 333 1,461 945 940 43,740 172,757 103,588 114,747 Food .................................... 58 84 57 63 7,705 8,083 5,379 6,077 Beverage and tobacco products ........... 6 6 8 9 540 511 606 1,305 Textile mills ........................... 14 35 19 29 2,745 4,322 1,833 3,108 Textile product mills ................... (2) 19 8 6 (2) 2,811 769 554 Apparel ................................. 8 33 16 9 544 3,189 1,545 883 Leather and allied products ............. - 6 (2) (2) - 504 (2) (2) Wood products ........................... 30 104 57 62 2,419 9,870 5,348 5,799 Paper ................................... 9 38 34 27 827 3,977 3,129 2,749 Printing and related support activities . 9 38 21 23 736 4,187 1,758 2,124 Petroleum and coal products ............. (2) 8 (2) (2) (2) 515 (2) (2) Chemicals ............................... 3 26 20 21 140 1,883 1,806 1,746 Plastics and rubber products ............ 27 110 48 60 2,201 11,156 4,878 6,151 Nonmetallic mineral products ............ 15 56 40 46 1,224 4,441 2,788 4,095 Primary metals .......................... 10 98 59 71 873 9,660 6,523 8,681 Fabricated metal products ............... 20 151 99 88 1,878 13,746 8,735 8,186 Machinery ............................... 15 121 106 110 2,447 14,120 14,921 18,081 Computer and electronic products ........ 10 76 78 68 917 6,747 7,439 8,130 Electrical equipment and appliances ..... 9 53 35 47 2,692 5,807 5,399 6,476 Transportation equipment ................ 72 316 171 155 14,318 57,173 22,440 26,012 Furniture and related products .......... 11 48 44 24 842 6,928 6,333 3,020 Miscellaneous manufacturing ............. 4 35 20 19 301 3,127 1,607 1,354 Wholesale trade ............................. 22 86 62 59 1,624 7,612 4,243 4,696 Retail trade ................................ 94 329 193 178 9,788 33,622 17,538 19,491 Transportation and warehousing .............. 92 236 80 91 10,629 25,081 7,864 8,809 Information ................................. 35 69 72 75 4,316 9,405 8,476 8,559 Finance and insurance ....................... 46 88 74 57 3,692 7,683 5,685 4,469 Real estate and rental and leasing .......... 5 26 17 16 552 1,870 1,083 980 Professional and technical services ......... 24 87 82 81 3,225 7,032 7,895 7,191 Management of companies and enterprises ..... (2) (2) 14 10 (2) (2) 990 923 Administrative and waste services ........... 130 473 235 227 10,076 46,646 23,566 18,762 Educational services ........................ 6 14 (2) 8 1,191 1,952 (2) 467 Health care and social assistance ........... 20 41 33 24 1,347 4,279 2,032 1,820 Arts, entertainment, and recreation ......... 8 49 10 17 492 4,421 655 1,259 Accommodation and food services ............. 90 197 95 115 10,328 17,360 8,080 13,090 Other services, except public administration 10 25 18 9 906 2,155 1,083 537 Unclassified ................................ - 1 - - - 49 - - Government ...................................... 26 97 47 51 2,557 8,655 4,890 4,406 Federal ..................................... 7 13 7 5 569 1,302 533 470 State ....................................... 7 25 17 11 618 2,155 1,804 1,066 Local ....................................... 12 59 23 35 1,370 5,198 2,553 2,870 1 Data were reported by all states and the District of Columbia. 2 Data do not meet BLS or state agency disclosure standards. NOTE: Dash represents zero.
Table 4. Mass layoff events and initial claimants for unemployment insurance, January 2007 to March 2009, not seasonally adjusted Private nonfarm Total mass layoffs Extended mass layoffs Date Mass layoffs lasting more than 30 days Realization rates (1) Initial Initial Initial Initial Events claimants Events claimants Events claimants Events claimants 2007 January .................... 1,407 134,984 1,263 124,475 February ................... 935 86,696 861 82,097 March ...................... 1,082 123,974 1,015 118,431 First Quarter .............. 3,424 345,654 3,139 325,003 1,110 199,250 35.4 61.3 April ...................... 1,219 127,444 1,115 118,040 May ........................ 923 85,816 856 81,153 June ....................... 1,599 172,810 1,318 148,669 Second Quarter ............. 3,741 386,070 3,289 347,862 1,421 259,234 43.2 74.5 July ....................... 1,599 175,419 1,450 164,939 August ..................... 963 93,458 908 88,345 September .................. 717 67,385 667 64,026 Third Quarter .............. 3,279 336,262 3,025 317,310 1,018 173,077 33.7 54.5 October .................... 1,083 108,455 929 97,716 November ................... 1,799 198,220 1,593 181,184 December ................... 2,167 224,214 2,071 216,898 Fourth Quarter ............. 5,049 530,889 4,593 495,798 1,814 347,151 39.5 70.0 2008 January .................... 1,647 154,503 1,520 144,191 February ................... 1,269 119,508 1,178 113,587 March ...................... 1,089 114,541 1,039 110,147 First Quarter .............. 4,005 388,552 3,737 367,925 1,340 259,084 35.9 70.4 April ...................... 1,272 130,810 1,172 121,625 May ........................ 1,552 159,471 1,438 150,462 June ....................... 1,622 166,742 1,315 140,916 Second Quarter ............. 4,446 457,023 3,925 413,003 1,756 339,184 44.7 82.1 July ....................... 1,891 200,382 1,687 186,018 August ..................... 1,427 139,999 1,343 133,146 September .................. 1,292 129,586 1,202 122,505 Third Quarter .............. 4,610 469,967 4,232 441,669 1,582 300,337 37.4 68.0 October .................... 2,125 221,784 1,917 205,553 November ................... 2,574 241,589 2,389 226,657 December ................... 3,377 351,305 3,232 340,220 Fourth Quarter ............. 8,076 814,678 7,538 772,430 (2)(p)3,140 (2)(p)463,715 (p)41.7 (p)60.0 2009 January .................... 3,806 388,813 3,633 375,293 February ................... 2,262 218,438 2,173 210,755 March ...................... 2,191 228,387 2,107 221,397 First Quarter .............. 8,259 835,638 7,913 807,445 1 The event realization rate is the percentage of all private nonfarm mass layoff events lasting more than 30 days. The initial claimant realization rate is the percentage of all private nonfarm mass layoff initial claimants associated with layoffs lasting more than 30 days. 2 These quarterly numbers are provisional and will be revised as more data on these layoffs become available. Experience suggests that the number of extended mass layoff events is generally revised upwards by less than 10 percent and the number of initial claimants associated with such events increases by 25-40 percent. p = preliminary.
Table 5. Mass layoff events and initial claimants for unemployment insurance by census region and division, not seasonally adjusted Initial claimants for Mass layoff events unemployment insurance Census region and division March January February March March January February March 2008 2009 2009 2009 2008 2009 2009 2009 United States (1) ... 1,089 3,806 2,262 2,191 114,541 388,813 218,438 228,387 Northeast ................... 180 787 348 317 21,202 77,142 32,131 29,493 New England ............. 14 97 78 68 1,014 8,414 7,744 7,021 Middle Atlantic ......... 166 690 270 249 20,188 68,728 24,387 22,472 South ....................... 245 1,052 624 589 28,097 115,630 55,542 61,432 South Atlantic .......... 139 574 295 276 14,166 58,892 23,842 27,819 East South Central ...... 53 279 172 158 6,680 32,215 17,840 15,629 West South Central ...... 53 199 157 155 7,251 24,523 13,860 17,984 Midwest ..................... 287 1,024 561 607 34,885 114,195 64,973 81,957 East North Central ...... 224 821 434 466 27,847 93,852 52,690 64,595 West North Central ...... 63 203 127 141 7,038 20,343 12,283 17,362 West ........................ 377 943 729 678 30,357 81,846 65,792 55,505 Mountain ................ 43 149 128 109 4,001 12,657 11,381 10,991 Pacific ................. 334 794 601 569 26,356 69,189 54,411 44,514 1 See footnote 1, table 3. NOTE: The States (including the District of Columbia) that comprise the census divisions are: New England: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont; Middle Atlantic: New Jersey, New York, and Pennsylvania; South Atlantic: Delaware, District of Columbia, Florida, Georgia, Maryland, North Carolina, South Carolina, Virginia, and West Virginia; East South Central: Alabama, Kentucky, Mississippi, and Tennessee; West South Central: Arkansas, Louisiana, Oklahoma, and Texas; East North Central: Illinois, Indiana, Michigan, Ohio, and Wisconsin; West North Central: Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota; Mountain: Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, and Wyoming; and Pacific: Alaska, California, Hawaii, Oregon, and Washington.
Table 6. State distribution: Mass layoff events and initial claimants for unemployment insurance, not seasonally adjusted Initial claimants for Mass layoff events unemployment insurance State March January February March March January February March 2008 2009 2009 2009 2008 2009 2009 2009 Total (1) ............ 1,089 3,806 2,262 2,191 114,541 388,813 218,438 228,387 Alabama ................. 11 100 33 45 927 10,588 4,690 4,985 Alaska .................. (2) 10 7 (2) (2) 788 557 (2) Arizona ................. 9 24 23 22 808 1,941 2,185 2,483 Arkansas ................ 5 13 6 10 867 1,462 1,156 806 California .............. 296 651 515 498 21,812 54,153 45,557 38,130 Colorado ................ 6 24 15 13 533 1,814 1,237 1,578 Connecticut ............. (2) 14 12 11 (2) 1,349 824 928 Delaware ................ 4 5 4 4 298 1,052 484 509 District of Columbia .... - (2) (2) (2) - (2) (2) (2) Florida ................. 63 235 155 107 5,145 19,301 9,779 8,594 Georgia ................. 20 137 45 46 3,302 16,654 3,830 4,152 Hawaii .................. 4 14 15 5 304 998 1,211 376 Idaho ................... 12 21 10 16 1,187 1,746 591 1,664 Illinois ................ 51 130 115 109 6,694 13,443 19,469 18,096 Indiana ................. 27 117 59 68 3,870 10,734 6,776 10,781 Iowa .................... 11 64 33 38 1,051 7,353 4,374 6,140 Kansas .................. 8 21 18 19 1,069 2,447 1,582 2,259 Kentucky ................ 26 80 78 72 4,555 12,492 8,794 7,861 Louisiana ............... 6 29 19 16 411 3,396 1,498 1,411 Maine ................... - 18 4 9 - 1,618 348 835 Maryland ................ (2) 31 11 8 (2) 2,535 800 531 Massachusetts ........... 5 33 32 25 433 2,782 2,873 2,422 Michigan ................ 41 229 79 87 3,980 26,453 7,392 11,121 Minnesota ............... 9 41 24 30 617 3,289 1,777 3,665 Mississippi ............. 7 25 8 12 493 2,353 458 745 Missouri ................ 28 62 38 42 3,799 5,239 3,538 3,430 Montana ................. (2) 14 11 7 (2) 1,491 753 667 Nebraska ................ 6 5 7 (2) 412 1,070 500 (2) Nevada .................. 7 33 43 27 522 2,805 3,881 2,351 New Hampshire ........... 3 7 9 9 167 465 1,020 1,213 New Jersey .............. 34 90 47 39 4,007 7,179 3,777 3,217 New Mexico .............. 5 13 13 9 685 822 1,868 858 New York ................ 29 279 82 70 3,436 31,893 8,927 6,974 North Carolina .......... 16 41 34 44 1,367 4,149 3,833 6,277 North Dakota ............ - (2) 3 4 - (2) 207 1,259 Ohio .................... 52 199 91 93 6,236 27,971 9,065 13,067 Oklahoma ................ 6 21 19 17 868 2,772 1,437 1,483 Oregon .................. 21 76 43 42 3,275 9,005 5,321 4,118 Pennsylvania ............ 103 321 141 140 12,745 29,656 11,683 12,281 Rhode Island ............ 4 17 9 9 303 1,526 1,291 889 South Carolina .......... 17 102 33 48 1,659 10,703 3,471 6,157 South Dakota ............ (2) 6 4 5 (2) 530 305 323 Tennessee ............... 9 74 53 29 705 6,782 3,898 2,038 Texas ................... 36 136 113 112 5,105 16,893 9,769 14,284 Utah .................... (2) 19 11 14 (2) 1,978 753 1,313 Vermont ................. (2) 8 12 5 (2) 674 1,388 734 Virginia ................ 14 15 8 14 1,808 3,313 786 1,229 Washington .............. 12 43 21 23 913 4,245 1,765 1,833 West Virginia ........... 3 7 3 4 428 1,127 681 301 Wisconsin ............... 53 146 90 109 7,067 15,251 9,988 11,530 Wyoming ................. - (2) (2) (2) - (2) (2) (2) Puerto Rico ............. 4 29 28 22 344 2,992 2,282 2,035 1 See footnote 1, table 3. 2 Data do not meet BLS or state agency disclosure standards. NOTE: Dash represents zero.