Mass Layoffs (Monthly) News Release

For release 10:00 a.m. (EDT) Tuesday, April 23, 2013                       USDL-13-0728

Technical information: (202) 691-6392  *  mlsinfo@bls.gov  *  www.bls.gov/mls
Media contact:         (202) 691-5902  *  PressOffice@bls.gov


                       MASS LAYOFFS -- MARCH 2013
                                   
                                   
Employers took 1,337 mass layoff actions in March involving 127,939
workers as measured by new filings for unemployment insurance benefits
during the month, the U.S. Bureau of Labor Statistics reported today.
(Data are seasonally adjusted.) Each mass layoff involved at least 50
workers from a single employer. Mass layoff events decreased by 85
from February, and the number of associated initial claims decreased
by 7,529. In March, 311 mass layoff events were reported in the
manufacturing sector resulting in 36,696 initial claims. Monthly mass
layoff data are identified using administrative data sources without
regard to layoff duration. (See table 1 and the note at the end of
this release.)

The national unemployment rate was 7.6 percent in March, essentially
unchanged from the prior month and down from 8.2 percent a year
earlier. Total nonfarm payroll employment increased by 88,000 over the
month and by 1,910,000 over the year.

Industry Distribution (Not Seasonally Adjusted)

The number of mass layoff events in March was 1,132, not seasonally
adjusted, resulting in 114,897 initial claims for unemployment
insurance. (See table 2.) Over the year, the number of average weekly
mass layoff events for March increased by 1 to 226, while associated
average weekly initial claims decreased by 584 to 22,979.

Ten of the 19 major industry sectors in the private economy
reported over-the-year decreases in average weekly initial claims,
with the largest decrease occurring in information. (See table 3.)
The six-digit industry with the largest number of private nonfarm
initial claims due to mass layoffs in March was school and employee
bus transportation. (See table A.)

In March, the manufacturing sector accounted for 24 percent of mass
layoff events and 26 percent of associated initial claims in the
private economy. Within manufacturing, the numbers of mass layoff
claimants were highest in transportation equipment and in food. Nine
of the 21 manufacturing subsectors experienced over-the-year decreases
in average weekly initial claims. (See table 3.)


Table A. Six-digit NAICS industries with the largest number of mass layoff initial claims
in March 2013, private nonfarm, not seasonally adjusted

                 Industry                                                   March peak
                                                     Initial Claims     Year  Initial claims
                                                                      
School and employee bus transportation ....              11,169         2013      11,169
Food service contractors ..................              10,408         2013      10,408
Temporary help services (1) ...............               9,344         2002      14,338
Motion picture and video production .......               2,895         2005       7,192
Construction machinery manufacturing ......               2,019         2009       7,933
Tire manufacturing, except retreading .....               1,981         2013       1,981
Discount department stores ................               1,791         2007       3,670
Professional employer organizations (1) ...               1,700         2009       4,892
Process and logistics consulting services .                 (2)         2009       1,846
Warehouse clubs and supercenters ..........               1,459         2012       1,900
                                                                                        
   1  See the Technical Note for more information on these industries.
   2  Data do not meet BLS or state agency disclosure standards.


Geographic Distribution (Not Seasonally Adjusted)

Among the census regions, the South had the largest number of initial
claims due to mass layoffs in March, followed closely by the West.
Only the West experienced an over-the-year decrease in average weekly
initial claims. (See table 4.)

Among the states, California had the highest number of mass layoff
initial claims in March, followed by Pennsylvania, Texas, Illinois,
and New York. Twenty-four states experienced over-the-year decreases
in average weekly initial claims, led by California, North Carolina,
and Oregon. (See table 4.)

Note

The monthly data series in this release cover mass layoffs of 50 or
more workers beginning in a given month, regardless of the duration of
the layoffs. For private nonfarm establishments, information on the
length of the layoff is obtained later and issued in a quarterly
release that reports on mass layoffs lasting more than 30 days
(referred to as "extended mass layoffs"). The quarterly release
provides more information on the industry classification and location
of the establishment and on the demographics of the laid-off workers.
The monthly data series in this release are subjected to average
weekly analysis, which mitigates the effect of differing lengths of
months. See the Technical Note for more detailed definitions and for a
description of average weekly analysis.

____________
The Extended Mass Layoffs news release for the First Quarter 2013 is
scheduled to be released on Monday, May 13, 2013, at 10:00 a.m. (EDT).
The Mass Layoffs news release for April 2013 is scheduled to be
released on Wednesday, May 22, 2013, at 10:00 a.m. (EDT).



  ____________________________________________________________________________________
 |                                                                                    |
 |                         Mass Layoffs Data Discontinued                             |
 |                                                                                    |
 |On March 1, 2013, President Obama ordered into effect the across-the-board spending |
 |cuts (commonly referred to as sequestration) required by the Balanced Budget and    |
 |Emergency Deficit Control Act, as amended. Under the order, the Bureau of Labor     |
 |Statistics (BLS) must cut its current budget by more than $30 million, 5 percent of |
 |the current 2013 appropriation, by September 30, 2013. In order to help achieve     |
 |these savings and protect core programs, the BLS will eliminate two programs,       |
 |including Mass Layoff Statistics, and all "measuring green jobs" products. The final|
 |release of Mass Layoffs Statistics data will occur on June 21st, with publication of|
 |the May 2013 data.                                                                  |
 |____________________________________________________________________________________|




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.

   The monthly data present preliminary mass layoff activity in the 
reference month and are not revised in subsequent months except in special 
circumstances (e.g., layoffs in states affected by Hurricane Katrina).  
Counts of initial claims associated with mass layoff events reflect 
activity through the end of the reference month. Additional mass layoff 
event and initial claims activity received after data for the reference 
month have been published by BLS are not updated in the monthly mass layoff 
series and, therefore, may not match revised mass layoff data issued in 
state publications. However, any additional mass layoff information 
meeting the extended mass layoff criteria will be reflected in BLS 
quarterly publication of extended mass layoff data.

   A given month contains an aggregation of the weekly unemployment 
insurance claims filings for the Sunday through Saturday weeks in that 
month.  All weeks are included for the particular month, except if the
first day of the month falls on Saturday.  In this case, the week is 
included in the prior month's tabulations.  This means that some months
will contain 4 weeks and others, 5 weeks.  The number of weeks in a given
month may be different from year to year, and the number of weeks in a year
may vary.  Therefore, data users who intend to perform analysis of over-the-year
change in the not seasonally adjusted series should use the average weekly
mass layoff figures displayed in tables 3 and 4 of this release.  The average
weekly adjustment process produces a consistent series for each month across
all years, permitting over-the-year analysis to be performed using strictly
comparable data.

   The MLS program resumed operations in April 1995 after it had been
terminated in November 1992 due to lack of funding. Prior to April 1995,
monthly layoff statistics were not available.

   Information in this release will be made available to sensory impaired
individuals upon request. Voice phone:  (202) 691-5200; Federal Relay
Service:  (800) 877-8339.

Definitions

   Average weekly mass layoff events and initial claimants. The number of
events and initial claimants in a given month divided by the number of weeks
contained within that month.

   Employer. Employers in the MLS program include those covered by state
unemployment insurance laws. Information on employers is obtained from the
Quarterly Census of Employment and Wages (QCEW) program, which is administered
by the Bureau of Labor Statistics (BLS).

   Industry. Employers are classified according to the 2007 version of the 
North American Industry Classification System (NAICS). For temporary help
and professional 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 insurance
benefits filed against an employer during a 5-week period, regardless of
duration.

Seasonal adjustment

   Effective with the release of data for January 2005, BLS began publishing
six seasonally adjusted monthly MLS series. The six series are the numbers of
mass layoff events and mass layoff initial claims for the total, private nonfarm,
and manufacturing sectors.
   
   Seasonal adjustment is the process of estimating and removing the effect
on time series data of regularly recurring seasonal events such as changes
in the weather, holidays, and the beginning and ending of the school year.
The use of seasonal adjustment makes it easier to observe fundamental changes
in time series, particularly those associated with general economic expansions
and contractions.

   The MLS data are seasonally adjusted using the X-12-ARIMA seasonal adjustment
method on a concurrent basis. Concurrent seasonal adjustment uses all available
monthly estimates, including those for the current month, in developing seasonal
adjustment factors. Revisions to the most recent 5 years of seasonally adjusted
data will be made once a year with the issuance of December data. Before the data
are seasonally adjusted, prior adjustments are made to the original data to adjust
them for differences in the number of weeks used to calculate the monthly data.
Because weekly unemployment insurance claims are aggregated to form monthly data,
a particular month's value could be calculated with 5 weeks of data in 1 year and
4 weeks in another. The effects of these differences could seriously distort the
seasonal factors if they were ignored in the seasonal adjustment process. These 
effects are modeled in the X-12-ARIMA program and are permanently removed from 
the final seasonally adjusted series.




Table 1. Mass layoff events and initial claimants for unemployment insurance, April 2009 to
March 2013, seasonally adjusted
                                                                                            
                                       Total           Private nonfarm         Manufacturing  
             Date                                                                             
                                           Initial               Initial               Initial 
                                Events    claimants   Events    claimants    Events   claimants
                                                                                              
             2009                                                                             
                                                                                              
April ......................     2,537     246,938     2,332     231,211     1,022     114,682
May ........................     2,712     286,089     2,522     270,051     1,206     151,114
June .......................     2,470     248,680     2,261     231,529     1,063     140,105
July .......................     2,184     222,776     1,976     203,347       639      76,345
August .....................     2,358     218,380     2,119     198,877       743      75,387
September ..................     2,274     216,959     2,054     200,863       754      90,250
October ....................     1,970     196,370     1,775     178,648       567      64,681
November ...................     1,764     159,283     1,598     146,802       469      51,887
December ...................     1,720     155,738     1,549     141,699       425      44,455
                                                                                              
             2010                                                                             
                                                                                              
January ....................     1,699     169,561     1,522     155,298       461      53,303
February ...................     1,647     161,694     1,480     147,259       387      47,272
March ......................     1,703     153,784     1,501     138,188       373      43,022
April ......................     1,622     154,962     1,442     138,849       378      44,860
May ........................     1,585     150,959     1,345     131,482       317      31,677
June .......................     1,701     152,080     1,481     133,366       335      34,653
July .......................     1,521     137,750     1,315     121,313       303      32,064
August .....................     1,612     162,455     1,409     138,849       384      41,123
September ..................     1,526     137,074     1,303     117,582       310      33,906
October ....................     1,661     149,985     1,454     132,373       349      38,157
November ...................     1,584     153,394     1,407     138,925       353      38,097
December ...................     1,476     136,252     1,277     121,849       322      36,611
                                                                                              
             2011                                                                             
                                                                                              
January ....................     1,522     150,406     1,335     132,659       327      37,431
February ...................     1,456     137,938     1,263     123,141       312      30,036
March ......................     1,307     119,691     1,156     106,721       269      31,699
April ......................     1,526     145,315     1,366     130,841       352      37,177
May ........................     1,573     144,824     1,387     129,296       399      42,238
June .......................     1,522     144,060     1,342     129,136       359      38,630
July .......................     1,566     144,543     1,347     123,815       342      35,458
August .....................     1,585     168,266     1,364     153,081       374      46,267
September ..................     1,463     150,165     1,319     136,564       346      37,505
October ....................     1,349     118,135     1,220     106,478       335      32,310
November ...................     1,312     123,078     1,177     113,239       312      33,715
December ...................     1,392     144,661     1,247     129,994       346      38,469
                                                                                              
             2012                                                                             
                                                                                              
January ....................     1,435     129,169     1,298     118,127       325      32,503
February ...................     1,275     120,199     1,134     109,458       283      28,236
March ......................     1,290     125,195     1,141     112,889       269      28,300
April ......................     1,403     138,164     1,235     122,236       294      34,929
May ........................     1,370     131,603     1,220     119,788       277      31,873
June .......................     1,320     133,080     1,178     120,857       282      31,737
July .......................     1,354     138,694     1,217     128,186       355      43,427
August .....................     1,297     130,266     1,172     120,391       322      39,389
September ..................     1,346     125,692     1,223     116,792       365      40,287
October ....................     1,400     136,153     1,249     125,026       346      42,927
November ...................     1,749     172,879     1,574     159,872       412      47,171
December ...................     1,509     137,839     1,334     125,505       330      35,211
                                                                                              
             2013                                                                             
                                                                                              
January ....................     1,328     134,026     1,197     123,088       357      43,068
February ...................     1,422     135,468     1,218     119,856       295      39,407
March ......................     1,337     127,939     1,183     115,664       311      36,696




Table 2. Mass layoff events and initial claimants for unemployment insurance, April 2009 to 
March 2013, not seasonally adjusted

                                       Total           Private nonfarm         Manufacturing  
             Date                                                                             
                                           Initial               Initial               Initial 
                                Events    claimants   Events    claimants    Events   claimants
                                                                                              
             2009                                                                             
                                                                                              
April ......................     2,547     256,930     2,385     243,321       887     100,872
May ........................     2,738     289,628     2,572     274,047     1,005     123,683
June .......................     2,519     256,357     2,051     216,063       674      85,726
July .......................     3,054     336,654     2,659     296,589     1,133     154,208
August .....................     1,428     125,024     1,334     117,193       436      41,151
September ..................     1,371     123,177     1,258     115,141       448      51,126
October ....................     1,934     193,904     1,678     172,883       566      69,655
November ...................     1,870     164,496     1,679     150,751       517      55,053
December ...................     2,310     214,648     2,166     203,655       615      64,540
                                                                                              
             2010                                                                             
                                                                                              
January ....................     2,860     278,679     2,682     265,074       962     104,846
February ...................     1,183     102,818     1,091      96,022       282      30,728
March ......................     1,197     111,727     1,111     105,514       273      29,745
April ......................     1,840     199,690     1,697     184,654       424      55,178
May ........................     1,354     123,333     1,170     109,203       216      19,334
June .......................     1,861     171,190     1,355     125,872       212      21,083
July .......................     2,124     206,254     1,732     172,248       532      64,200
August .....................       976      92,435       897      83,021       230      23,088
September ..................       920      77,654       806      67,987       187      19,403
October ....................     1,642     148,638     1,373     127,865       351      40,861
November ...................     1,676     158,048     1,477     142,591       389      41,383
December ...................     1,931     184,130     1,763     172,881       465      52,816
                                                                                              
             2011                                                                             
                                                                                              
January ....................     2,558     246,463     2,372     229,765       693      75,006
February ...................     1,024      85,585       919      78,718       222      18,471
March ......................       908      85,095       844      80,014       191      20,869
April ......................     1,750     189,919     1,625     176,478       397      47,104
May ........................     1,367     119,911     1,221     108,531       270      25,199
June .......................     1,661     159,930     1,238     122,821       226      22,986
July .......................     2,176     216,774     1,759     174,078       602      71,814
August .....................       961      99,213       875      93,159       228      26,916
September ..................     1,189     117,232     1,095     107,300       296      32,058
October ....................     1,101      96,914       950      83,748       265      28,447
November ...................     1,393     127,750     1,245     117,474       349      37,799
December ...................     2,433     263,665     2,258     247,916       658      75,033
                                                                                              
             2012                                                                             
                                                                                              
January ....................     1,705     141,703     1,587     132,754       415      38,021
February ...................       895      73,974       820      69,076       196      16,555
March ......................     1,125     117,817     1,040     110,954       242      24,241
April ......................     1,421     146,358     1,293     132,697       256      32,518
May ........................     1,201     109,259     1,081     100,434       186      18,800
June .......................     1,890     198,537     1,485     158,334       255      28,570
July .......................     1,515     157,753     1,321     144,340       559      74,963
August .....................     1,063     104,045       992      97,694       251      31,193
September ..................       811      70,570       749      66,214       221      22,748
October ....................     1,142     109,829       968      97,390       277      37,702
November ...................     2,339     249,949     2,078     228,124       551      72,690
December ...................     1,973     187,137     1,822     177,452       477      50,686
                                                                                              
             2013                                                                             
                                                                                              
January ....................     1,528     144,517     1,424     135,970       455      50,793
February ...................       960      79,786       846      72,391       192      21,630
March ......................     1,132     114,897     1,048     108,200       268      28,923




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

                      Industry                                   Mass layoff totals                    Average weekly mass layoffs (1)
                      
                                                             Events          Initial claimants           Events         Initial claimants 
                                                        March      March      March      March      March      March     March      March
                                                         2012       2013       2012       2013       2012       2013      2012       2013

      Total (2) ..................................      1,125      1,132    117,817    114,897        225        226     23,563     22,979
      
Total, private ...................................      1,083      1,097    113,790    111,521        217        219     22,758     22,304
    Agriculture, forestry, fishing and hunting ...         43         49      2,836      3,321          9         10        567        664

  Total, private nonfarm .........................      1,040      1,048    110,954    108,200        208        210     22,191     21,640
    Mining .......................................          8         10        823        845          2          2        165        169
    Utilities ....................................        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)
    Construction .................................        121        126      9,148      9,526         24         25      1,830      1,905
        Construction of buildings ................         17         28      1,432      2,330          3          6        286        466
        Heavy and civil engineering construction .         42         39      3,118      3,054          8          8        624        611
        Specialty trade contractors ..............         62         59      4,598      4,142         12         12        920        828
    Manufacturing ................................        242        268     24,241     28,923         48         54      4,848      5,785
        Food .....................................         69         57      7,701      5,218         14         11      1,540      1,044
        Beverage and tobacco products ............          5          7        326      1,330          1          1         65        266
        Textile mills ............................          6          4        786        572          1          1        157        114
        Textile product mills ....................          4        (3)        335        (3)          1        (3)         67        (3)
        Apparel ..................................          9          5        651        828          2          1        130        166
        Leather and allied products ..............        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)
        Wood products ............................         14         14      1,154      1,079          3          3        231        216
        Paper ....................................          8          6        578        322          2          1        116         64
        Printing and related support activities ..          4          6        341        384          1          1         68         77
        Petroleum and coal products ..............        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)

        Chemicals ................................          4          4        242        261          1          1         48         52
        Plastics and rubber products .............          9         13        614      2,882          2          3        123        576
        Nonmetallic mineral products .............         11         11        844        713          2          2        169        143
        Primary metals ...........................          3         10        223        907          1          2         45        181
        Fabricated metal products ................         18         23      1,084      1,873          4          5        217        375
        Machinery ................................         12         16        845      3,268          2          3        169        654
        Computer and electronic products .........         14         12      1,432      1,002          3          2        286        200
        Electrical equipment and appliances ......         13         18      2,417      2,130          3          4        483        426
        Transportation equipment .................         25         39      3,362      4,240          5          8        672        848
        Furniture and related products ...........          6          8        613        771          1          2        123        154
        Miscellaneous manufacturing ..............          5          9        396        729          1          2         79        146

    Wholesale trade ..............................         20         12      1,639      1,098          4          2        328        220
    Retail trade (4) .............................        100         84     10,375      8,204         20         17      2,075      1,641
        Building material and garden supply stores          8          7        953        630          2          1        191        126
        Food and beverage stores .................         20         17      1,826      1,117          4          3        365        223
        Clothing and clothing accessories stores .          9          3        604        184          2          1        121         37
        General merchandise stores ...............         39         33      5,146      4,268          8          7      1,029        854
    Transportation and warehousing (4) ...........         72         90      9,013     12,753         14         18      1,803      2,551
        Truck transportation .....................          6        (3)        358        (3)          1        (3)         72        (3)
        Transit and ground passenger 
          transportation .........................         47         69      7,045     11,251          9         14      1,409      2,250
        Support activities for transportation ....          4          7        302        501          1          1         60        100
    Information ..................................         49         32      9,195      4,261         10          6      1,839        852
    Finance and insurance ........................         30         18      2,168      1,810          6          4        434        362
    Real estate and rental and leasing ...........          6          8        359        674          1          2         72        135
    Professional and technical services ..........         42         36      6,331      4,167          8          7      1,266        833
    Management of companies and enterprises ......          5          5        517        471          1          1        103         94
    Administrative and waste services ............        165        179     16,911     15,271         33         36      3,382      3,054
    Educational services .........................          9        (3)        552        (3)          2        (3)        110        (3)
    Health care and social assistance ............         33         31      2,752      2,395          7          6        550        479
    Arts, entertainment, and recreation ..........         16         15      1,110      1,716          3          3        222        343
    Accommodation and food services ..............        112        117     15,122     14,725         22         23      3,024      2,945
        Accommodation ............................         23         21      2,121      1,690          5          4        424        338
        Food services and drinking places ........         89         96     13,001     13,035         18         19      2,600      2,607
    Other services, except public administration .          6         11        405        772          1          2         81        154
    Unclassified .................................        (3)          -        (3)          -        (3)          -        (3)          -

Government .......................................         42         35      4,027      3,376          8          7        805        675
    Federal ......................................          4          3        271        317          1          1         54         63
    State ........................................         17         12      1,460      1,559          3          2        292        312
         State government education ..............          5          5        427        958          1          1         85        192
    Local ........................................         21         20      2,296      1,500          4          4        459        300
         Local government education ..............          4          3        823        161          1          1        165         32

   1 Average weekly analysis mitigates the effect of differing lengths of months. There were 5 weeks in March 2012 and 5 weeks in March 
2013. Average weekly events and initial claimants may not sum to subtotals and totals due to rounding.
   2 Data were reported by all states and the District of Columbia.
   3 Data do not meet BLS or state agency disclosure standards.
   4 Includes other industries not shown.
   NOTE: Dash represents zero.
   
   
   

Table 4. Region and state distribution: Mass layoff events and initial claimants for unemployment insurance,
not seasonally adjusted

     Census region and state               Mass layoff totals                    Average weekly mass layoffs (1)    
     
                                       Events          Initial claimants           Events         Initial claimants
                                  March      March      March      March      March      March     March      March
                                   2012       2013       2012       2013       2012       2013      2012       2013

   Total (2) ...............      1,125      1,132    117,817    114,897        225        226     23,563     22,979
Northeast ..................        198        229     18,520     23,264         40         46      3,704      4,653
    Connecticut ............        (3)          -        (3)          -        (3)          -        (3)          -
    Maine ..................          5          7        415        515          1          1         83        103
    Massachusetts ..........         11          7      1,073        516          2          1        215        103
    New Hampshire ..........          3        (3)        339        (3)          1        (3)         68        (3)
    New Jersey .............         21         41      2,065      4,031          4          8        413        806
    New York ...............         54         55      5,226      6,562         11         11      1,045      1,312
    Pennsylvania ...........         92        111      8,034     10,053         18         22      1,607      2,011
    Rhode Island ...........        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)
    Vermont ................          8          4      1,123        739          2          1        225        148

South ......................        289        290     31,925     32,616         58         58      6,385      6,523
    Alabama ................         18         12      2,130      2,111          4          2        426        422
    Arkansas ...............         16         22      1,835      2,610          3          4        367        522
    Delaware ...............        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)
    District of Columbia ...          -          -          -          -          -          -          -          -
    Florida ................         55         58      4,836      4,547         11         12        967        909
    Georgia ................          8          8      1,069        999          2          2        214        200
    Kentucky ...............         26         29      2,601      3,237          5          6        520        647
    Louisiana ..............          7          5        423        260          1          1         85         52
    Maryland (4) ...........          3         14        182      1,368          1          3         36        274
    Mississippi ............         12         15      1,314      1,237          2          3        263        247
    North Carolina .........         60         35      6,060      3,905         12          7      1,212        781
    Oklahoma ...............          3          3        697        725          1          1        139        145
    South Carolina .........          7         11        498      1,039          1          2        100        208
    Tennessee ..............          8         11        854        820          2          2        171        164
    Texas ..................         50         51      7,962      8,535         10         10      1,592      1,707
    Virginia ...............         13         13      1,206      1,042          3          3        241        208
    West Virginia ..........        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)

Midwest ....................        219        230     24,470     26,698         44         46      4,894      5,340
    Illinois ...............         36         49      4,610      6,864          7         10        922      1,373
    Indiana ................         18         16      1,830      1,982          4          3        366        396
    Iowa ...................          9         11      1,278      1,399          2          2        256        280
    Kansas .................         11         11      1,588        878          2          2        318        176
    Michigan ...............         25         25      3,749      3,110          5          5        750        622
    Minnesota ..............         10         15        844      1,072          2          3        169        214
    Missouri ...............         20         19      1,614      2,674          4          4        323        535
    Nebraska ...............        (3)          8        (3)        816        (3)          2        (3)        163
    North Dakota ...........        (3)          3        (3)        412        (3)          1        (3)         82
    Ohio ...................         48         36      4,638      3,942         10          7        928        788
    South Dakota ...........          -          -          -          -          -          -          -          -
    Wisconsin ..............         37         37      3,777      3,549          7          7        755        710

West .......................        419        383     42,902     32,319         84         77      8,580      6,464
    Alaska .................          3          7        178        634          1          1         36        127
    Arizona ................         15         11      1,286        752          3          2        257        150
    California .............        319        289     33,461     23,802         64         58      6,692      4,760
    Colorado ...............          9        (3)      1,165        (3)          2        (3)        233        (3)
    Hawaii .................        (3)          -        (3)          -        (3)          -        (3)          -
    Idaho ..................          7          8        694        881          1          2        139        176
    Montana ................        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)
    Nevada .................          9         12        879      1,302          2          2        176        260
    New Mexico .............          8          5        765        458          2          1        153         92
    Oregon .................         20         13      2,153      1,204          4          3        431        241
    Utah ...................          5          7        385        582          1          1         77        116
    Washington .............         19         25      1,546      2,256          4          5        309        451
    Wyoming ................        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)

    Puerto Rico ............         15         15      1,899      2,172          3          3        380        434
                                                                                                                    
   1 See footnote 1, table 3.
   2 See footnote 2, table 3.
   3 Data do not meet BLS or state agency disclosure standards. 
   4 Data starting in June 2012 may not be comparable to prior data due to a change in MLS unemployment insurance 
procedures.
   NOTE: Dash represents zero.
   
   
   

Last Modified Date: April 23, 2013