Technical information: (202) 691-6392 USDL 05-1432 http://www.bls.gov/mls/ For release: 10:00 A.M. EDT Media contact: 691-5902 Tuesday, July 26, 2005 MASS LAYOFFS IN JUNE 2005 In June 2005, employers took 1,175 mass layoff actions, 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 today. Each action involved at least 50 persons from a single establishment, and the number of workers involved totaled 127,887, on a seasonally adjusted basis. (See table 1.) The number of layoff events fell by 21 from May, and the number of associated initial claims decreased by 884. In the manufacturing sector, 347 mass layoff events were reported during June 2005, seasonally adjusted, resulting in 55,820 initial claims. The number of mass layoff events was somewhat lower than a month earlier, while the number of initial claims was higher. (See table 1.) From January through June 2005, the total number of events (seasonally adjusted), at 7,424, and initial claims (seasonally adjusted), at 793,017, were lower than in January-June 2004 (8,018 and 819,644, respectively). Industry Distribution (Not Seasonally Adjusted) The 10 industries reporting the highest number of mass-layoff initial claims, not seasonally adjusted, accounted for 55,800 initial claims in June, 46 percent of the total. (See table A.) The two industries with the highest number of initial claims were school and employee bus trans- portation, with 12,952, and elementary and secondary schools with 8,950. Together, these two industries accounted for 18 percent of all initial claims in June. The manufacturing sector accounted for 19 percent of all mass layoff events and 27 percent of all initial claims filed in June 2005. A year earlier, manufacturing comprised 16 percent of events and 20 percent of initial claims. Within manufacturing, the number of claimants in June 2005 was highest in transportation equipment (12,268, mostly automotive- related), followed by food processing (4,245) and electrical equipment and appliances (4,010). (See table 3.) Transportation and warehousing accounted for 11 percent of events and 13 percent of initial claims filed in June, with layoffs mostly from school and employee bus transportation. Eleven percent of all layoff events and 9 percent of initial claims filed during the month were from healthcare and so- cial assistance, mainly from child day care services. Accommodation and food services accounted for 6 percent of events and 8 percent of initial claims in June, primarily from food service contractors. Administrative and waste ser- vices accounted for 9 percent of events and 8 percent of initial claims dur- ing the month, largely from temporary help services. An additional 4 percent of events and initial claims were from the information sector, mainly from motion picture and video production. - 2 - Table A. Industries with the largest mass-layoff initial claims in June 2005p ------------------------------------------------------------------------------ | Initial| June peak Industry | claims |-------------------------- | | Year | Initial claims ------------------------------------------|--------|---------|---------------- School and employee bus transportation....| 12,952 | 2002 | 15,668 Elementary and secondary schools..........| 8,950 | 2003 | 17,360 Food service contractors..................| 7,574 | 2005 | 7,574 Child day care services...................| 6,911 | 1995 | 8,779 Automobile manufacturing..................| 6,270 | 1998 | 41,501 Temporary help services...................| 4,663 | 2000 | 13,815 Motion picture and video production.......| 2,635 | 2000 | 9,435 Other individual and family services......| 2,030 | 2004 | 2,637 Household refrigerator and home freezer | | | mfg. ....................................| 1,946 | 2002 | 1,982 Other social advocacy organizations.......| 1,869 | 2000 | 3,815 ------------------------------------------------------------------------------ p=preliminary. Government establishments accounted for 14 percent of events and 12 per- cent of initial claims filed in June, mostly from educational services as the school year ended. Over the year, the number of layoff events declined by 222 and the number of associated initial claims fell by 14,125 (not seasonally adjusted). The largest decreases in initial claims were reported in administrative and sup- port services (-5,007) and educational services, including government (-3,869). The largest over-the-year increases in initial claims were reported in trans- portation equipment manufacturing (+2,965) and in electrical equipment and appliance manufacturing (+2,788). Geographic Distribution (Not Seasonally Adjusted) Among the four census regions, the highest number of initial claims in June due to mass layoffs was in the Midwest (38,985). (See table 5.) Transportation equipment manufacturing and transit and ground passenger transportation accounted for 37 percent of all mass-layoff initial claims in that region during the month. The West had the next largest number of initial claims (33,078), followed by the South (25,679) and the Northeast (22,721). The number of initial claimants from mass layoffs decreased over the year in three of the four regions. The largest decrease occurred in the West (-13,822) followed by the South (-5,695) and the Northeast (-2,326). The Midwest had the only over-the-year increase (+7,718). Seven of the nine geographic divisions had over-the-year decreases in the number of initial claims associated with mass layoffs, with the largest in the Pacific division, -13,846. Over-the-year increases occurred in the East North Central (+9,077) and Mountain (+24) divisions. Among the states, California recorded the highest number of initial claims filed due to mass layoff events in June (24,652), mostly in educational serv- ices and in administrative and support services. Ohio was next, with 11,541 initial claims, followed by Pennsylvania (8,605) and New Jersey (7,495). These four states accounted for 43 percent of all mass layoff events and ini- tial claims for unemployment insurance. (See table 6.) - 3 - California had the largest over-the-year decrease in the number of initial claims (-14,527), followed by Oklahoma (-2,394). The largest over-the-year increases occurred in Ohio (+4,786) and Indiana (+3,207). From January to June, California reported 188,684 mass layoff initial claims, 23 percent of the national total. This was California's lowest share for a January-to-June period since 1996. Ohio had the next largest number of claims over this period (59,084), followed by New York (49,129) and Michigan (49,059). 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 lay- offs 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. 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 Tech- nical Note for more detailed definitions. ______________________________ The report on Extended Mass Layoffs in the Second Quarter of 2005 is scheduled to be released on Thursday, August 11, 2005. The report on Mass Layoffs in July 2005 is scheduled to be released on Tuesday, August 23, 2005. 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 establishments which have at least 50 initial claims filed against them during a consecutive 5-week period. These establishments then are con- tacted 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 quart- erly 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 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 establishment during a 5-week period, regardless of duration. 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 one 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, July 2001 to June 2005, seasonally adjusted Total Private nonfarm Manufacturing Date Initial Initial Initial Events claimants Events claimants Events claimants 2001 July ....................... 1,704 200,376 1,568 188,468 719 93,867 August ..................... 1,744 206,528 1,586 195,051 788 106,632 September .................. 2,409 277,214 2,235 263,192 834 108,615 October .................... 2,109 233,569 1,986 223,808 897 118,136 November ................... 2,094 218,273 1,935 207,129 944 114,556 December ................... 1,799 194,759 1,658 183,178 722 93,193 2002 January .................... 1,801 208,835 1,659 195,862 739 96,689 February ................... 1,773 204,089 1,620 192,450 701 91,285 March ...................... 1,674 187,924 1,517 175,998 610 75,367 April ...................... 1,685 186,574 1,497 169,228 591 69,481 May ........................ 1,720 191,841 1,558 178,993 611 74,809 June ....................... 1,615 170,307 1,438 156,759 551 73,064 July ....................... 1,637 179,165 1,457 164,398 568 73,230 August ..................... 1,475 160,855 1,330 149,148 562 65,564 September .................. 1,909 217,475 1,742 202,640 607 79,413 October .................... 1,716 178,860 1,524 162,411 598 71,765 November ................... 1,644 176,462 1,500 165,578 607 70,640 December ................... 1,825 193,627 1,661 179,368 638 86,714 2003 January .................... 1,383 134,258 1,193 120,033 402 49,440 February ................... 1,771 185,502 1,589 173,392 643 75,331 March ...................... 1,773 176,540 1,577 161,662 618 75,289 April ...................... 1,735 176,645 1,574 165,416 646 86,857 May ........................ 1,709 186,158 1,532 173,123 624 87,615 June ....................... 1,704 163,646 1,515 148,547 636 70,888 July ....................... 1,653 163,061 1,444 147,883 590 71,203 August ..................... 1,502 170,353 1,364 156,731 540 71,944 September .................. 1,559 145,961 1,370 132,233 471 56,274 October .................... 1,541 154,908 1,312 136,604 412 49,518 November ................... 1,400 137,651 1,241 125,115 397 46,955 December ................... 1,425 141,780 1,281 129,464 420 53,436 2004 January .................... 1,458 146,147 1,257 127,917 413 50,074 February ................... 1,237 126,421 1,091 115,302 358 36,783 March ...................... 1,348 142,480 1,211 134,118 409 63,380 April ...................... 1,422 149,049 1,239 132,180 360 43,158 May ........................ 1,178 114,247 1,016 100,499 314 37,950 June ....................... 1,375 141,300 1,215 129,466 361 47,548 July ....................... 1,363 139,374 1,200 127,011 390 49,276 August ..................... 1,392 130,483 1,208 115,035 330 36,422 September .................. 1,281 123,761 1,153 114,223 332 45,917 October .................... 1,274 125,414 1,145 116,042 350 44,908 November ................... 1,361 130,168 1,201 117,545 402 43,504 December ................... 1,211 119,649 1,064 108,157 283 34,940 2005 January .................... 1,457 150,990 1,321 140,826 379 58,908 February ................... 1,128 117,684 1,001 107,415 345 43,186 March ...................... 1,194 130,848 1,060 121,408 371 55,377 April ...................... 1,274 136,837 1,142 126,807 395 63,121 May(p) ..................... 1,196 128,771 1,060 117,036 359 53,243 June(p) .................... 1,175 127,887 1,059 118,736 347 55,820 p = preliminary. Table 2. Mass layoff events and initial claimants for unemployment insurance, July 2001 to June 2005, not seasonally adjusted Total Private nonfarm Manufacturing Date Initial Initial Initial Events claimants Events claimants Events claimants 2001 July ....................... 2,117 273,807 1,952 259,128 1,144 168,877 August ..................... 1,490 166,148 1,386 158,307 603 79,515 September .................. 1,327 160,402 1,214 151,161 485 58,544 October .................... 1,831 215,483 1,676 202,053 742 107,030 November ................... 2,721 295,956 2,373 270,268 1,122 151,969 December ................... 2,440 268,893 2,319 259,497 1,103 136,820 2002 January .................... 2,146 263,777 2,028 252,245 892 128,825 February ................... 1,382 138,808 1,253 129,849 481 58,784 March ...................... 1,460 161,316 1,335 151,305 500 59,613 April ...................... 1,506 165,814 1,378 153,216 461 50,897 May ........................ 1,723 179,799 1,571 166,801 488 52,720 June ....................... 1,584 162,189 1,266 136,424 336 42,130 July ....................... 2,042 245,294 1,819 226,892 907 135,271 August ..................... 1,248 128,103 1,151 119,874 427 48,668 September .................. 1,062 124,522 957 114,736 352 43,755 October .................... 1,497 171,100 1,270 149,327 493 64,655 November ................... 2,153 240,171 1,860 216,237 719 92,712 December ................... 2,474 264,158 2,324 252,807 984 126,826 2003 January .................... 2,315 225,430 2,130 210,918 822 90,244 February ................... 1,363 124,965 1,222 116,264 435 48,161 March ...................... 1,207 113,026 1,099 104,468 390 41,063 April ...................... 1,581 161,412 1,470 152,937 499 62,349 May ........................ 1,703 174,204 1,538 160,729 499 61,278 June ....................... 1,691 157,552 1,336 127,743 389 40,845 July ....................... 2,087 226,435 1,815 206,901 946 136,410 August ..................... 1,258 133,839 1,163 124,131 405 52,620 September .................. 868 82,647 756 73,914 271 31,428 October .................... 1,523 158,240 1,265 137,706 438 53,741 November ................... 1,438 138,543 1,234 123,524 408 48,419 December ................... 1,929 192,633 1,793 182,750 648 77,915 2004 January .................... 2,428 239,454 2,226 220,687 848 89,551 February ................... 941 84,201 832 76,577 240 23,043 March ...................... 920 92,554 847 87,782 258 34,686 April ...................... 1,458 157,314 1,316 142,657 343 36,172 May ........................ 988 87,501 878 78,786 219 22,141 June ....................... 1,379 134,588 1,077 110,804 222 27,307 July ....................... 2,094 253,929 1,860 234,877 885 145,895 August ..................... 809 69,033 745 63,876 194 17,698 September .................. 708 68,972 637 63,102 189 25,808 October .................... 1,242 127,918 1,101 117,375 372 48,265 November ................... 1,399 130,423 1,201 115,549 412 44,243 December ................... 1,614 161,271 1,487 152,092 436 50,726 2005 January .................... 2,564 263,952 2,421 253,409 823 108,985 February ................... 810 74,644 722 68,372 230 24,931 March ...................... 806 88,937 733 83,793 246 33,030 April ...................... 1,373 158,582 1,263 148,133 395 59,129 May(p) ..................... 986 101,358 891 93,332 249 30,424 June(p) .................... 1,157 120,463 941 103,307 216 32,783 p = preliminary. Table 3. Industry distribution: Mass layoff events and initial claimants for unemployment insurance Initial claimants for Mass layoff events unemployment insurance Industry June April May June June April May June 2004 2005 2005p 2005p 2004 2005 2005p 2005p Seasonally adjusted Total ..................................... 1,375 1,274 1,196 1,175 141,300 136,837 128,771 127,887 Total, private nonfarm ......................... 1,215 1,142 1,060 1,059 129,466 126,807 117,036 118,736 Manufacturing ................................. 361 395 359 347 47,548 63,121 53,243 55,820 Not seasonally adjusted Total(1) .................................. 1,379 1,373 986 1,157 134,588 158,582 101,358 120,463 Total, private .................................. 1,156 1,324 915 990 115,626 154,339 95,006 106,219 Agriculture, forestry, fishing and hunting .... 79 61 24 49 4,822 6,206 1,674 2,912 Total, private nonfarm ......................... 1,077 1,263 891 941 110,804 148,133 93,332 103,307 Mining ........................................ ( 2 ) 3 ( 2 ) - ( 2 ) 187 ( 2 ) - Utilities ..................................... ( 2 ) 4 ( 2 ) ( 2 ) ( 2 ) 277 ( 2 ) ( 2 ) Construction .................................. 77 126 104 61 4,924 9,652 7,885 4,304 Manufacturing ................................. 222 395 249 216 27,307 59,129 30,424 32,783 Food ...................................... 38 84 52 43 2,677 9,653 5,057 4,245 Beverage and tobacco products ............. ( 2 ) 9 ( 2 ) ( 2 ) ( 2 ) 660 ( 2 ) ( 2 ) Textile mills ............................. 9 15 5 8 1,957 2,912 507 1,089 Textile product mills ..................... ( 2 ) 6 4 4 ( 2 ) 626 260 486 Apparel ................................... 7 14 14 7 641 1,346 1,007 789 Leather and allied products ............... 4 ( 2 ) - ( 2 ) 459 ( 2 ) - ( 2 ) Wood products ............................. 7 17 15 ( 2 ) 634 3,252 2,191 ( 2 ) Paper ..................................... ( 2 ) 9 9 7 ( 2 ) 769 737 633 Printing and related support activities ... 13 10 11 7 1,324 789 764 569 Petroleum and coal products ............... - - - - - - - - Chemicals ................................. 11 ( 2 ) ( 2 ) ( 2 ) 803 ( 2 ) ( 2 ) ( 2 ) Plastics and rubber products .............. 4 18 9 6 360 1,931 686 544 Nonmetallic mineral products .............. 4 13 7 ( 2 ) 304 1,252 537 ( 2 ) Primary metals ............................ 9 16 6 11 1,078 2,644 456 1,478 Fabricated metal products ................. 11 28 19 12 1,464 2,220 1,363 963 Machinery ................................. 16 16 14 18 1,362 2,028 1,129 2,365 Computer and electronic products .......... 11 21 17 13 1,418 1,959 1,678 1,074 Electrical equipment and appliances ....... 5 16 12 16 1,222 3,888 1,715 4,010 Transportation equipment .................. 51 77 40 41 9,303 20,879 10,906 12,268 Furniture and related products ............ 11 14 6 9 1,323 1,270 603 1,084 Miscellaneous manufacturing ............... 4 6 4 ( 2 ) 265 503 262 ( 2 ) Wholesale trade ............................... 23 17 13 12 2,142 1,406 1,158 1,340 Retail trade .................................. 76 109 69 58 7,410 12,287 5,519 4,656 Transportation and warehousing ................ 120 92 67 126 14,557 11,395 6,782 15,593 Information ................................... 48 38 24 41 6,748 8,630 6,479 4,687 Finance and insurance ......................... 22 32 14 23 1,502 2,107 1,048 1,637 Real estate and rental and leasing ............ 4 9 ( 2 ) 5 231 793 ( 2 ) 239 Professional and technical services ........... 27 65 35 17 3,174 7,778 4,895 1,978 Management of companies and enterprises ....... 4 6 ( 2 ) ( 2 ) 935 540 ( 2 ) ( 2 ) Administrative and waste services ............. 148 206 113 102 14,058 19,862 9,384 9,051 Educational services .......................... 11 4 6 10 692 260 460 551 Health care and social assistance ............. 149 27 61 133 12,457 1,921 5,205 11,354 Arts, entertainment, and recreation ........... 25 32 15 25 1,390 2,689 806 1,338 Accommodation and food services ............... 85 75 78 71 10,549 7,253 7,719 10,150 Other services, except public administration .. 30 21 32 35 2,278 1,838 3,290 3,079 Unclassified .................................. 2 2 1 - 181 129 42 - Government ..................................... 223 49 71 167 18,962 4,243 6,352 14,244 Federal ....................................... 9 9 12 10 1,040 696 1,235 964 State ......................................... 18 12 12 15 1,058 1,054 712 1,009 Local ......................................... 196 28 47 142 16,864 2,493 4,405 12,271 1 Data were reported by all states and the District of Columbia. 2 Data do not meet BLS or state agency disclosure standards. p = preliminary. NOTE: Dash represents zero. Table 4. Mass layoff events and initial claimants for unemployment insurance, April 2003 to June 2005, not seasonally adjusted Private nonfarm Total mass layoffs Extended mass layoffs Realization Date Mass layoffs lasting more than 30 days rates (1) Initial Initial Initial Initial Events claimants Events claimants Events claimants Events claimants 2003 April ...................... 1,581 161,412 1,470 152,937 May ........................ 1,703 174,204 1,538 160,729 June ....................... 1,691 157,552 1,336 127,743 Second Quarter ............. 4,975 493,168 4,344 441,409 1,799 348,966 41.4 79.1 July ....................... 2,087 226,435 1,815 206,901 August ..................... 1,258 133,839 1,163 124,131 September .................. 868 82,647 756 73,914 Third Quarter .............. 4,213 442,921 3,734 404,946 1,190 227,909 31.9 56.3 October .................... 1,523 158,240 1,265 137,706 November ................... 1,438 138,543 1,234 123,524 December ................... 1,929 192,633 1,793 182,750 Fourth Quarter ............. 4,890 489,416 4,292 443,980 1,690 326,328 39.4 73.5 2004 January .................... 2,428 239,454 2,226 220,687 February ................... 941 84,201 832 76,577 March ...................... 920 92,554 847 87,782 First Quarter .............. 4,289 416,209 3,905 385,046 1,339 238,392 34.3 61.9 April ...................... 1,458 157,314 1,316 142,657 May ........................ 988 87,501 878 78,786 June ....................... 1,379 134,588 1,077 110,804 Second Quarter ............. 3,825 379,403 3,271 332,247 1,358 253,787 41.5 76.4 July ....................... 2,094 253,929 1,860 234,877 August ..................... 809 69,033 745 63,876 September .................. 708 68,972 637 63,102 Third Quarter .............. 3,611 391,934 3,242 361,855 886 148,180 27.3 41.0 October .................... 1,242 127,918 1,101 117,375 November ................... 1,399 130,423 1,201 115,549 December ................... 1,614 161,271 1,487 152,092 Fourth Quarter ............. 4,255 419,612 3,789 385,016 1,427 262,006 37.7 68.1 2005 January .................... 2,564 263,952 2,421 253,409 February ................... 810 74,644 722 68,372 March ...................... 806 88,937 733 83,793 First Quarter .............. 4,180 427,533 3,876 405,574 (2)(p) 989 (2)(p) 127,950 (p)25.5 (p)31.5 April ...................... 1,373 158,582 1,263 148,133 May(p) ..................... 986 101,358 891 93,332 June(p) .................... 1,157 120,463 941 103,307 Second Quarter(p) .......... 3,516 380,403 3,095 344,772 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 June April May June June April May June 2004 2005 2005p 2005p 2004 2005 2005p 2005p United States(1).... 1,379 1,373 986 1,157 134,588 158,582 101,358 120,463 Northeast .................. 204 255 186 183 25,047 28,268 19,206 22,721 New England ............ 39 54 27 26 4,263 6,114 4,039 3,158 Middle Atlantic ........ 165 201 159 157 20,784 22,154 15,167 19,563 South ...................... 337 268 232 269 31,374 35,412 22,693 25,679 South Atlantic ......... 183 142 114 164 16,796 14,586 9,445 15,133 East South Central ..... 48 55 51 41 3,702 9,490 5,346 3,656 West South Central ..... 106 71 67 64 10,876 11,336 7,902 6,890 Midwest .................... 300 314 248 299 31,267 42,151 30,688 38,985 East North Central ..... 234 269 193 246 24,316 36,185 23,477 33,393 West North Central ..... 66 45 55 53 6,951 5,966 7,211 5,592 West ....................... 538 536 320 406 46,900 52,751 28,771 33,078 Mountain ............... 53 64 36 44 3,979 7,514 2,859 4,003 Pacific ................ 485 472 284 362 42,921 45,237 25,912 29,075 1 See footnote 1, table 3. p = preliminary. 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 June April May June June April May June 2004 2005 2005p 2005p 2004 2005 2005p 2005p Total(1) ............. 1,379 1,373 986 1,157 134,588 158,582 101,358 120,463 Alabama ................. 8 10 9 8 579 1,314 1,204 833 Alaska .................. 4 5 ( 2 ) 3 256 719 ( 2 ) 238 Arizona ................. 17 32 12 7 1,307 4,574 1,015 475 Arkansas ................ 6 5 6 ( 2 ) 440 309 514 ( 2 ) California .............. 438 421 252 319 39,179 39,775 22,741 24,652 Colorado ................ 5 8 6 ( 2 ) 431 753 458 ( 2 ) Connecticut ............. 10 3 10 6 1,117 234 847 734 Delaware ................ 4 - - 4 801 - - 1,674 District of Columbia .... ( 2 ) - ( 2 ) - ( 2 ) - ( 2 ) - Florida ................. 93 62 53 93 6,466 5,192 3,192 6,661 Georgia ................. 26 27 22 19 2,873 3,444 1,998 1,924 Hawaii .................. 3 ( 2 ) 3 3 205 ( 2 ) 241 210 Idaho ................... 4 5 4 4 291 503 223 301 Illinois ................ 52 55 39 56 5,869 6,502 3,940 5,273 Indiana ................. 26 33 23 34 2,564 4,251 2,327 5,771 Iowa .................... 13 11 6 7 1,417 1,466 485 847 Kansas .................. 11 4 9 6 1,042 315 764 822 Kentucky ................ 16 28 18 11 1,210 6,696 1,601 962 Louisiana ............... 31 16 10 21 2,686 1,437 998 1,965 Maine ................... ( 2 ) 7 3 ( 2 ) ( 2 ) 665 234 ( 2 ) Maryland ................ 6 8 ( 2 ) 4 480 748 ( 2 ) 478 Massachusetts ........... 16 16 10 7 1,573 1,339 2,676 592 Michigan ................ 55 49 49 55 5,277 5,355 9,725 6,580 Minnesota ............... 20 14 9 14 2,258 2,273 1,314 1,314 Mississippi ............. 8 3 5 7 427 201 562 391 Missouri ................ 21 10 21 16 2,138 1,349 3,858 1,719 Montana ................. 3 3 3 6 171 299 358 378 Nebraska ................ ( 2 ) 3 6 7 ( 2 ) 272 397 556 Nevada .................. 14 6 3 12 1,152 567 191 1,713 New Hampshire ........... 4 4 3 3 391 379 227 661 New Jersey .............. 50 44 30 39 9,167 4,232 2,650 7,495 New Mexico .............. 5 4 4 8 268 319 348 623 New York ................ 36 65 80 37 4,031 8,072 8,875 3,463 North Carolina .......... 13 25 9 13 1,014 2,588 1,094 1,127 North Dakota ............ - - ( 2 ) ( 2 ) - - ( 2 ) ( 2 ) Ohio .................... 61 80 42 62 6,755 15,288 3,349 11,541 Oklahoma ................ 10 5 ( 2 ) 4 2,690 2,174 ( 2 ) 296 Oregon .................. 21 22 12 20 1,772 2,349 1,502 2,253 Pennsylvania ............ 79 92 49 81 7,586 9,850 3,642 8,605 Rhode Island ............ 6 12 ( 2 ) 7 992 2,191 ( 2 ) 948 South Carolina .......... 19 11 16 17 3,438 1,659 1,566 1,564 South Dakota ............ - 3 ( 2 ) ( 2 ) - 291 ( 2 ) ( 2 ) Tennessee ............... 16 14 19 15 1,486 1,279 1,979 1,470 Texas ................... 59 45 49 37 5,060 7,416 6,229 3,329 Utah .................... 5 5 4 5 359 428 266 338 Vermont ................. ( 2 ) 12 - ( 2 ) ( 2 ) 1,306 - ( 2 ) Virginia ................ 17 7 11 11 1,318 716 1,365 1,495 Washington .............. 19 22 16 17 1,509 2,221 1,365 1,722 West Virginia ........... 3 ( 2 ) - 3 277 ( 2 ) - 210 Wisconsin ............... 40 52 40 39 3,851 4,789 4,136 4,228 Wyoming ................. - ( 2 ) - - - ( 2 ) - - Puerto Rico ............. 10 19 15 12 896 2,342 1,308 2,023 1 See footnote 1, table 3. 2 Data do not meet BLS or state agency disclosure standards. p = preliminary. NOTE: Dash represents zero.