Technical information: (202) 691-6392 USDL 06-1477 http://www.bls.gov/mls/ For release: 10:00 A.M. EDT Media contact: 691-5902 Wednesday, August 23, 2006 MASS LAYOFFS IN JULY 2006 In July 2006, employers took 1,125 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 114,895, on a seasonally adjusted basis. The number of layoff events increased by 28; the number of associated initial claims decreased by 4,767 from June 2006. In the manufacturing sector, 363 mass layoff events were reported during July 2006, seasonally adjusted, resulting in 47,287 initial claims. Both the number of events and initial claims in manufacturing were higher than a month earlier. (See table 1.) In July 2006, the national unemployment rate was 4.8 percent, seasonally adjusted, up from 4.6 percent in June and down from 5.0 percent in July 2005. Total nonfarm payroll employment, seasonally adjusted, increased by 113,000 over the month and by about 1.7 million over the year. Industry Distribution (Not Seasonally Adjusted) The 10 industries reporting the highest number of mass layoff initial claims, not seasonally adjusted, had 61,660 claims in July, 37 percent of the total. (See table A.) The two industries with the highest number of initial claims were automobile manufacturing with 16,796 and temporary help services with 11,057. Together, these two industries accounted for 17 per- cent of all initial claims in July. The manufacturing sector accounted for 43 percent of all mass layoff events and 58 percent of all initial claims filed in July, little changed from a year earlier. In July 2006, the number of manufacturing claimants was highest in transportation equipment manufacturing (51,048, mostly automotive-related), followed by plastics and rubber products manufactur- ing (6,842). (See table 3.) Administrative and waste services accounted for 13 percent of events and 10 percent of initial claims filed in July 2006, with layoffs mainly in temporary help services. Six percent of all layoff events and 5 per- cent of initial claims filed during the month were from transportation and warehousing, primarily in transit and ground passenger transportation. Retail trade accounted for 6 percent of events and 5 percent of initial claims in July, mostly in general merchandise stores. - 2 - Table A. Industries with the largest mass layoff initial claims in July 2006 ----------------------------------------------------------------------------- | Initial | July peak Industry | claims |------------------------ | | Year | Initial claims ------------------------------------------|---------|--------|--------------- Automobile manufacturing .................| 16,796 | 1996 | 22,644 Temporary help services ................. | 11,057 | 1998 | 24,601 All other motor vehicle parts mfg. .......| 6,573 | 2004 | 9,691 Motor vehicle metal stamping .............| 5,494 | 2005 | 8,198 Motor vehicle seating and interior | | | trim mfg. ..............................| 5,070 | 2005 | 9,238 All other plastics product mfg. ..........| 4,148 | 2004 | 8,864 Elementary and secondary schools .........| 3,892 | 2005 | 7,104 School and employee bus transportation ...| 2,945 | 1997 | 8,081 Motor vehicle power train components mfg. | 2,918 | 2003 | 8,905 Motion picture and video production ......| 2,767 | 1998 | 12,310 | | | ----------------------------------------------------------------------------- Government establishments accounted for 6 percent of events and 4 per- cent of initial claims filed over the month, largely in educational services as the school year ended. On a not seasonally adjusted basis, the number of layoff events in July 2006, at 1,511, was down by 470 from a year earlier, and the number of associated initial claims decreased by 77,359 to 166,857. These were the lowest number of events and initial claims reported for any July since 2000. This is likely due in part to a calendar effect; July 2006 contained 4 weeks for possible mass layoffs, compared with 5 weeks in each July of the prior 2 years. (See Technical Note for an explanation of how the number of weeks for data collection can vary from month to month. Also, note that adjust- ments are made for the calendar effects in the previously mentioned season- ally adjusted series.) The largest over-the-year decreases in initial claims were reported in transportation equipment manufacturing (-18,285), adminis- trative and support services (-7,487), primary metal manufacturing (-4,339), and transit and ground passenger transportation (-3,991). The largest over- the-year increases in initial claims were reported in support activities for transportation (+988) and textile mills (+535). Geographic Distribution (Not Seasonally Adjusted) Among the four census regions, the highest number of initial claims in July due to mass layoffs was in the Midwest, 86,786. Transportation equip- ment manufacturing accounted for 50 percent of all mass layoff initial claims in that region during the month. The West had the second largest number of initial claims, 32,162, followed by the South with 30,866 and the Northeast with 17,043. (See table 5.) The number of initial claimants in mass layoffs decreased over the year in all four of the regions. The largest decrease was in the Midwest (-27,372), followed by the West (-19,943), the Northeast (-15,915), and the South (-14,129). All nine geographic divisions had over-the-year decreases in the number of initial claims associated with mass layoffs, with the largest de- creases in the East North Central (-17,198) and Pacific (-16,431) divisions. Among the states, Michigan recorded the highest number of initial claims filed due to mass layoff events in July (41,722), followed by California (26,385), Ohio (10,108), Indiana (10,104), and Wisconsin (7,894). These five states accounted for 52 percent of all mass layoff events and 58 per- cent of all initial claims for unemployment insurance. (See table 6.) California had the largest over-the-year decrease in the number of ini- tial claims (-15,356). Ohio had the next largest decrease in initial claims (-15,198), followed by New York (-7,299). The largest over-the-year increase in claims occurred in Michigan (+7,161), largely due to layoffs in transpor- tation equipment manufacturing. From January to July, California reported 187,714 mass layoff initial claims, 22 percent of the national total. The states with the next largest number of claims over this period were Michigan (82,708), Pennsylvania (49,964), Ohio (47,507), and New York (47,246). - 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 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. 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 Mass Layoffs in August 2006 is scheduled to be released on Thursday, September 21, 2006. - 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 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, August 2002 to July 2006, seasonally adjusted Total Private nonfarm Manufacturing Date Initial Initial Initial Events claimants Events claimants Events claimants 2002 August ..................... 1,478 162,040 1,324 150,118 569 67,779 September .................. 1,911 218,875 1,747 203,849 617 80,528 October .................... 1,774 186,940 1,582 169,660 625 73,904 November ................... 1,652 178,402 1,507 167,335 613 71,693 December ................... 1,841 198,678 1,659 184,368 661 84,048 2003 January .................... 1,358 131,963 1,168 117,636 387 48,685 February ................... 1,825 190,928 1,647 178,363 646 78,819 March ...................... 1,782 175,671 1,595 160,170 617 72,409 April ...................... 1,722 174,608 1,564 163,607 640 83,303 May ........................ 1,719 184,003 1,542 170,961 625 86,535 June ....................... 1,716 164,299 1,524 148,542 636 68,143 July ....................... 1,642 163,179 1,442 148,299 580 74,070 August ..................... 1,517 171,861 1,367 158,049 551 74,602 September .................. 1,562 147,383 1,374 133,383 484 56,472 October .................... 1,558 156,814 1,336 138,691 427 52,009 November ................... 1,393 141,383 1,244 129,231 401 50,460 December ................... 1,426 144,456 1,265 132,324 434 50,994 2004 January .................... 1,421 142,704 1,223 124,192 395 48,519 February ................... 1,293 132,640 1,145 120,811 362 39,360 March ...................... 1,364 140,957 1,234 132,152 407 60,296 April ...................... 1,381 141,909 1,207 126,106 341 37,686 May ........................ 1,189 111,173 1,030 98,230 314 37,405 June ....................... 1,390 141,948 1,226 129,344 360 45,398 July ....................... 1,329 137,724 1,185 126,945 371 53,248 August ..................... 1,436 131,807 1,243 116,672 342 38,192 September .................. 1,283 125,344 1,155 115,499 344 45,691 October .................... 1,302 129,237 1,181 119,653 369 47,888 November ................... 1,350 135,036 1,202 122,954 407 47,517 December ................... 1,188 120,602 1,038 109,508 293 33,123 2005 January .................... 1,465 153,676 1,330 143,295 380 58,778 February ................... 1,135 120,190 1,010 109,964 350 43,966 March ...................... 1,204 133,935 1,071 124,273 384 56,253 April ...................... 1,278 139,575 1,145 128,478 390 60,726 May ........................ 1,194 129,214 1,059 117,660 359 52,055 June ....................... 1,184 128,430 1,065 119,271 349 53,930 July ....................... 1,248 131,136 1,107 118,994 356 49,070 August ..................... 1,145 127,592 1,006 116,011 334 48,904 September .................. 2,219 283,772 1,975 237,831 438 53,399 October .................... 1,114 104,584 986 94,798 328 45,475 November ................... 1,205 120,783 1,074 109,680 359 45,069 December ................... 1,308 149,565 1,185 138,234 365 49,641 2006 January .................... 1,113 108,378 985 97,832 274 29,541 February ................... 1,073 111,468 973 103,268 321 45,073 March ...................... 1,082 118,555 984 110,275 328 49,023 April ...................... 1,148 118,504 1,023 109,150 358 48,086 May ........................ 1,074 109,858 963 101,080 293 42,006 June ....................... 1,097 119,662 974 109,041 311 37,570 July ....................... 1,125 114,895 1,009 105,829 363 47,287 Table 2. Mass layoff events and initial claimants for unemployment insurance, August 2002 to July 2006, not seasonally adjusted Total Private nonfarm Manufacturing Date Initial Initial Initial Events claimants Events claimants Events claimants 2002 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 ........................ 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 Table 3. Industry distribution: Mass layoff events and initial claimants for unemployment insurance Initial claimants for Mass layoff events unemployment insurance Industry July May June July July May June July 2005 2006 2006 2006 2005 2006 2006 2006 Seasonally adjusted Total ..................................... 1,248 1,074 1,097 1,125 131,136 109,858 119,662 114,895 Total, private nonfarm ........................ 1,107 963 974 1,009 118,994 101,080 109,041 105,829 Manufacturing ............................... 356 293 311 363 49,070 42,006 37,570 47,287 Not seasonally adjusted Total(1) .................................. 1,981 872 1,489 1,511 244,216 84,809 164,761 166,857 Total, private .................................. 1,849 813 1,286 1,414 231,250 79,738 145,567 160,148 Agriculture, forestry, fishing and hunting .. 104 19 62 79 8,873 1,075 4,880 5,806 Total, private nonfarm ........................ 1,745 794 1,224 1,335 222,377 78,663 140,687 154,342 Mining ...................................... (2) 3 4 (2) (2) 213 347 (2) Utilities ................................... (2) (2) (2) (2) (2) (2) (2) (2) Construction ................................ 80 90 75 69 6,252 6,116 6,089 4,457 Manufacturing ............................... 856 192 319 648 136,210 23,570 41,095 96,152 Food .................................... 72 39 55 60 6,874 3,335 5,008 5,607 Beverage and tobacco products ........... 7 (2) (2) (2) 377 (2) (2) (2) Textile mills ........................... 16 8 12 16 1,682 780 1,432 2,217 Textile product mills ................... 12 (2) (2) 9 1,597 (2) (2) 663 Apparel ................................. 27 6 11 19 2,666 525 1,340 2,009 Leather and allied products ............. 7 (2) (2) (2) 1,426 (2) (2) (2) Wood products ........................... 39 12 17 35 5,109 853 1,562 3,480 Paper ................................... 9 7 10 7 582 527 725 522 Printing and related support activities . 4 10 4 5 271 860 382 418 Petroleum and coal products ............. - (2) (2) (2) - (2) (2) (2) Chemicals ............................... 18 8 4 11 2,164 464 557 1,503 Plastics and rubber products ............ 77 5 25 57 9,202 341 2,526 6,842 Nonmetallic mineral products ............ 16 5 (2) 19 2,178 526 (2) 2,070 Primary metals .......................... 53 4 11 32 7,984 448 997 3,645 Fabricated metal products ............... 67 8 17 54 7,052 508 1,506 5,549 Machinery ............................... 44 9 23 33 5,426 2,432 3,194 4,716 Computer and electronic products ........ 32 11 13 20 3,729 1,058 1,278 1,979 Electrical equipment and appliances ..... 24 6 10 19 3,409 1,449 961 1,943 Transportation equipment ................ 286 35 79 233 69,393 7,657 15,822 51,048 Furniture and related products .......... 26 8 15 7 2,917 709 2,742 490 Miscellaneous manufacturing ............. 20 5 6 7 2,172 615 552 508 Wholesale trade ............................. 33 11 9 17 2,889 847 591 1,218 Retail trade ................................ 102 77 78 85 10,765 7,570 8,353 7,540 Transportation and warehousing .............. 123 30 155 88 11,543 2,270 23,033 8,327 Information ................................. 32 33 25 37 5,599 4,360 8,398 4,274 Finance and insurance ....................... 18 24 38 26 1,416 1,864 2,900 1,695 Real estate and rental and leasing .......... 12 6 6 8 1,083 424 392 895 Professional and technical services ......... 51 35 28 40 7,387 3,019 4,107 4,530 Management of companies and enterprises ..... (2) (2) (2) 3 (2) (2) (2) 204 Administrative and waste services ........... 239 122 135 190 23,794 12,323 10,992 16,115 Educational services ........................ 16 5 16 8 1,118 384 1,057 533 Health care and social assistance ........... 56 49 152 40 4,000 4,598 12,932 3,068 Arts, entertainment, and recreation ......... 34 21 30 18 2,517 1,257 1,735 1,018 Accommodation and food services ............. 73 69 104 46 5,857 7,535 14,670 3,419 Other services, except public administration 10 23 44 8 619 2,078 3,577 442 Unclassified ............................... 4 1 2 1 354 39 102 192 Government ...................................... 132 59 203 97 12,966 5,071 19,194 6,709 Federal ..................................... 19 9 14 7 2,243 767 1,521 685 State ....................................... 20 6 17 12 1,553 308 1,758 826 Local ....................................... 93 44 172 78 9,170 3,996 15,915 5,198 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, July 2004 to July 2006, 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 2004 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 3,242 361,855 886 148,575 27.3 41.1 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 1,427 262,049 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 1,142 185,486 29.5 45.7 April ................... 1,373 158,582 1,263 148,133 May ..................... 986 101,358 891 93,332 June .................... 1,157 120,463 941 103,307 Second Quarter .......... 3,516 380,403 3,095 344,772 1,203 (r)212,673 38.9 (r)61.7 July .................... 1,981 244,216 1,745 222,377 August .................. 645 67,582 598 63,484 September ............... 1,662 213,281 1,505 179,042 Third Quarter ........... 4,288 525,079 3,848 464,903 1,136 (r)190,180 29.5 40.9 October ................. 905 91,941 757 80,694 November ................ 1,254 116,127 1,079 102,182 December ................ 2,323 254,258 2,168 242,753 Fourth Quarter .......... 4,482 462,326 4,004 425,629 1,400 (r)246,169 35.0 (r)57.8 2006 January ................. 1,245 117,946 1,123 108,701 February ................ 719 66,555 658 62,208 March ................... 921 111,838 856 106,177 First Quarter ........... 2,885 296,339 2,637 277,086 (r)963 (r)189,634 (r)36.5 (r)68.4 April ................... 1,140 121,589 1,038 112,964 May ..................... 872 84,809 794 78,663 June .................... 1,489 164,761 1,224 140,687 Second Quarter .......... 3,501 371,159 3,056 332,314 (2)(p) 1,213(2)(p) 184,534 (p)39.7 (p)55.5 July .................... 1,511 166,857 1,335 154,342 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. r = revised. 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 July May June July July May June July 2005 2006 2006 2006 2005 2006 2006 2006 United States(1) ... 1,981 872 1,489 1,511 244,216 84,809 164,761 166,857 Northeast .................. 319 134 296 218 32,958 12,744 37,376 17,043 New England ............ 45 30 48 23 4,353 3,083 5,809 1,618 Middle Atlantic ........ 274 04 248 195 28,605 9,661 31,567 15,425 South ...................... 415 204 344 313 44,995 18,518 36,740 30,866 South Atlantic ......... 193 100 190 178 18,350 8,321 20,426 15,176 East South Central ..... 136 51 80 82 17,428 5,259 8,564 8,541 West South Central ..... 86 53 74 53 9,217 4,938 7,750 7,149 Midwest .................... 695 220 378 569 114,158 26,538 44,200 86,786 East North Central ..... 581 157 292 487 94,359 17,516 36,225 77,161 West North Central ..... 114 63 86 82 19,799 9,022 7,975 9,625 West ....................... 552 314 471 411 52,105 27,009 46,445 32,162 Mountain ............... 56 28 55 32 5,836 2,637 5,396 2,324 Pacific ................ 496 286 416 379 46,269 24,372 41,049 29,838 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 July May June July July May June July 2005 2006 2006 2006 2005 2006 2006 2006 Total(1) ............. 1,981 872 1,489 1,511 244,216 84,809 164,761 166,857 Alabama ................. 58 13 15 12 6,449 1,347 1,636 1,510 Alaska .................. (2) (2) 4 3 (2) (2) 375 217 Arizona ................. 22 5 12 14 2,288 625 1,262 1,101 Arkansas ................ 8 (2) 4 4 698 (2) 819 414 California .............. 445 259 361 341 41,741 22,138 35,270 26,385 Colorado ................ 5 5 4 5 434 443 355 375 Connecticut ............. 7 6 14 5 553 461 1,735 297 Delaware ................ - - 5 (2) - - 1,671 (2) District of Columbia .... (2) (2) - - (2) (2) - - Florida ................. 86 48 92 81 6,526 3,165 7,581 5,371 Georgia ................. 46 17 40 39 4,374 1,734 4,456 4,104 Hawaii .................. 3 4 6 3 246 359 408 183 Idaho ................... 7 4 5 3 981 255 393 262 Illinois ................ 57 43 61 46 6,808 6,641 9,144 7,333 Indiana ................. 82 22 40 66 15,176 1,815 6,786 10,104 Iowa .................... 23 12 12 22 5,154 3,239 813 2,846 Kansas .................. 8 9 10 8 720 685 880 1,757 Kentucky ................ 62 17 26 53 9,576 2,065 3,246 5,767 Louisiana ............... 20 12 22 12 1,916 973 2,361 2,629 Maine ................... 4 4 4 (2) 303 314 287 ( 2 ) Maryland ................ 8 5 16 13 811 414 1,455 1,421 Massachusetts ........... 24 13 10 7 2,333 1,692 795 441 Michigan ................ 248 40 88 228 34,561 4,028 9,298 41,722 Minnesota ............... 27 11 21 11 4,573 2,678 1,971 922 Mississippi ............. 5 7 13 6 374 495 1,023 364 Missouri ................ 49 25 33 32 8,285 1,957 3,017 2,979 Montana ................. (2) 3 7 (2) (2) 182 559 (2) Nebraska ................ 6 4 6 5 991 324 615 685 Nevada .................. 13 (2) 14 7 1,084 (2) 1,597 439 New Hampshire ........... 5 (2) 4 (2) 497 (2) 625 (2) New Jersey .............. 37 16 85 42 3,325 1,591 13,182 3,662 New Mexico .............. 5 4 10 (2) 287 570 891 (2) New York ................ 107 40 44 62 12,136 4,570 4,453 4,837 North Carolina .......... 19 12 14 11 2,121 1,355 1,332 1,233 North Dakota ............ (2) (2) (2) 4 (2) (2) (2) 436 Ohio .................... 115 30 59 79 25,306 3,102 5,903 10,108 Oklahoma ................ 7 (2) 4 8 1,303 (2) 288 1,290 Oregon .................. 26 16 26 20 2,399 1,242 3,275 2,186 Pennsylvania ............ 130 48 119 91 13,144 3,500 13,932 6,926 Rhode Island ............ 3 (2) 11 4 419 (2) 1,825 272 South Carolina .......... 11 10 11 13 1,627 988 1,190 1,143 South Dakota ............ - (2) (2) - - (2) (2) - Tennessee ............... 11 14 26 11 1,029 1,352 2,659 900 Texas ................... 51 37 44 29 5,300 3,688 4,282 2,816 Utah .................... (2) 5 (2) - (2) 447 (2) - Vermont ................. (2) 4 5 3 (2) 404 542 235 Virginia ................ 20 7 9 18 2,589 593 2,480 1,666 Washington .............. 21 6 19 12 1,809 570 1,721 867 West Virginia ........... (2) - (2) (2) (2) - (2) (2) Wisconsin ............... 79 22 44 68 12,508 1,930 5,094 7,894 Wyoming ................. - - - - - - - - Puerto Rico ............. 12 60 19 10 1,270 14,229 2,071 860 1 See footnote 1, table 3. 2 Data do not meet BLS or state agency disclosure standards. NOTE: Dash represents zero.