Mass Layoffs (Monthly) News Release

For release 10:00 a.m. (EDT) Friday, March 22, 2013                          USDL-13-0479

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


                       MASS LAYOFFS -- FEBRUARY 2013


Employers took 1,422 mass layoff actions in February involving 135,468 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 increased
by 94 from January, and the number of associated initial claims increased by 1,442. In
February, 295 mass layoff events were reported in the manufacturing sector resulting in
39,407 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 7.7 percent in February, down from 7.9 percent the
prior month and down from 8.3 percent a year earlier. Total nonfarm payroll employment
increased by 236,000 over the month and by 1,966,000 over the year.

Industry Distribution (Not Seasonally Adjusted)

The number of mass layoff events in February was 960, not seasonally adjusted, resulting
in 79,786 initial claims for unemployment insurance. (See table 2.) Over the year, the
number of average weekly mass layoff events for February increased by 16 to 240, and
associated average weekly initial claims increased by 1,453 to 19,947.

Nine of the 19 major industry sectors in the private economy reported over-the-year
increases in average weekly initial claims, with the largest increase occurring in
manufacturing. (See table 3.) The six-digit industry with the largest number of
private nonfarm initial claims due to mass layoffs in February was temporary help
services. (See table A.)

In February, the manufacturing sector accounted for 21 percent of mass layoff events and
28 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 increases in
average weekly initial claims. (See table 3.)


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

                 Industry                                            February peak
                                                 Initial claims   Year  Initial claims
                                                                                      
Temporary help services (1) ...............           7,564       2001      18,893
School and employee bus transportation ....           2,592       2008       4,254
Automobile manufacturing ..................            (2)        2001      13,977
Discount department stores ................           2,263       2004       2,669
Motion picture and video production .......           2,000       2011       6,260
Supermarkets and other grocery stores .....           1,869       2012       2,685
Professional employer organizations (1) ...           1,817       2009       6,452
Food service contractors ..................           1,742       2009       2,580
Highway, street, and bridge construction ..           1,691       2003       3,316
Department stores, except discount ........           1,471       2001       2,994
                                                                                      
   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 West had the largest number of initial claims due to mass
layoffs in February. Two of the 4 regions experienced over-the-year increases in average
weekly initial claims, with the largest increase occurring in the West. (See table 4.)

Among the states, California had the highest number of mass layoff initial claims in
February, followed by New York, Pennsylvania, Texas, and North Carolina. Twenty-three
states and the District of Columbia experienced over-the-year increases in average
weekly initial claims, led by California, Kansas, and Indiana. (See table 4.)

Note

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

____________
The Mass Layoffs news release for March 2013 is scheduled to be released on Tuesday,
April 23, 2013, at 10:00 a.m. (EDT).


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 |                                                                                    |
 |                         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.                                                                  |
 |                                                                                    |
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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 BLSí 
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, March 2009 to
February 2013, seasonally adjusted

                                      Total            Private nonfarm         Manufacturing   
             Date                                                                              
                                           Initial               Initial               Initial 
                                Events    claimants   Events    claimants    Events   claimants
                                                                                              
             2009                                                                             

March ......................     3,022     304,175     2,827     287,023     1,261     158,119
April ......................     2,537     246,938     2,332     231,211     1,022     114,682
May ........................     2,712     286,089     2,522     270,051     1,206     151,114
June .......................     2,470     248,680     2,261     231,529     1,063     140,105
July .......................     2,184     222,776     1,976     203,347       639      76,345
August .....................     2,358     218,380     2,119     198,877       743      75,387
September ..................     2,274     216,959     2,054     200,863       754      90,250
October ....................     1,970     196,370     1,775     178,648       567      64,681
November ...................     1,764     159,283     1,598     146,802       469      51,887
December ...................     1,720     155,738     1,549     141,699       425      44,455

             2010                                                                             

January ....................     1,699     169,561     1,522     155,298       461      53,303
February ...................     1,647     161,694     1,480     147,259       387      47,272
March ......................     1,703     153,784     1,501     138,188       373      43,022
April ......................     1,622     154,962     1,442     138,849       378      44,860
May ........................     1,585     150,959     1,345     131,482       317      31,677
June .......................     1,701     152,080     1,481     133,366       335      34,653
July .......................     1,521     137,750     1,315     121,313       303      32,064
August .....................     1,612     162,455     1,409     138,849       384      41,123
September ..................     1,526     137,074     1,303     117,582       310      33,906
October ....................     1,661     149,985     1,454     132,373       349      38,157
November ...................     1,584     153,394     1,407     138,925       353      38,097
December ...................     1,476     136,252     1,277     121,849       322      36,611

             2011                                                                             

January ....................     1,522     150,406     1,335     132,659       327      37,431
February ...................     1,456     137,938     1,263     123,141       312      30,036
March ......................     1,307     119,691     1,156     106,721       269      31,699
April ......................     1,526     145,315     1,366     130,841       352      37,177
May ........................     1,573     144,824     1,387     129,296       399      42,238
June .......................     1,522     144,060     1,342     129,136       359      38,630
July .......................     1,566     144,543     1,347     123,815       342      35,458
August .....................     1,585     168,266     1,364     153,081       374      46,267
September ..................     1,463     150,165     1,319     136,564       346      37,505
October ....................     1,349     118,135     1,220     106,478       335      32,310
November ...................     1,312     123,078     1,177     113,239       312      33,715
December ...................     1,392     144,661     1,247     129,994       346      38,469

             2012                                                                             

January ....................     1,435     129,169     1,298     118,127       325      32,503
February ...................     1,275     120,199     1,134     109,458       283      28,236
March ......................     1,290     125,195     1,141     112,889       269      28,300
April ......................     1,403     138,164     1,235     122,236       294      34,929
May ........................     1,370     131,603     1,220     119,788       277      31,873
June .......................     1,320     133,080     1,178     120,857       282      31,737
July .......................     1,354     138,694     1,217     128,186       355      43,427
August .....................     1,297     130,266     1,172     120,391       322      39,389
September ..................     1,346     125,692     1,223     116,792       365      40,287
October ....................     1,400     136,153     1,249     125,026       346      42,927
November ...................     1,749     172,879     1,574     159,872       412      47,171
December ...................     1,509     137,839     1,334     125,505       330      35,211

             2013                                                                             

January ....................     1,328     134,026     1,197     123,088       357      43,068
February ...................     1,422     135,468     1,218     119,856       295      39,407




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

                                       Total           Private nonfarm         Manufacturing   
             Date                                                                              
                                           Initial               Initial               Initial 
                                Events    claimants   Events    claimants    Events   claimants
                                                                                              
             2009                                                                             

March ......................     2,191     228,387     2,107     221,397       940     114,747
April ......................     2,547     256,930     2,385     243,321       887     100,872
May ........................     2,738     289,628     2,572     274,047     1,005     123,683
June .......................     2,519     256,357     2,051     216,063       674      85,726
July .......................     3,054     336,654     2,659     296,589     1,133     154,208
August .....................     1,428     125,024     1,334     117,193       436      41,151
September ..................     1,371     123,177     1,258     115,141       448      51,126
October ....................     1,934     193,904     1,678     172,883       566      69,655
November ...................     1,870     164,496     1,679     150,751       517      55,053
December ...................     2,310     214,648     2,166     203,655       615      64,540

             2010                                                                             

January ....................     2,860     278,679     2,682     265,074       962     104,846
February ...................     1,183     102,818     1,091      96,022       282      30,728
March ......................     1,197     111,727     1,111     105,514       273      29,745
April ......................     1,840     199,690     1,697     184,654       424      55,178
May ........................     1,354     123,333     1,170     109,203       216      19,334
June .......................     1,861     171,190     1,355     125,872       212      21,083
July .......................     2,124     206,254     1,732     172,248       532      64,200
August .....................       976      92,435       897      83,021       230      23,088
September ..................       920      77,654       806      67,987       187      19,403
October ....................     1,642     148,638     1,373     127,865       351      40,861
November ...................     1,676     158,048     1,477     142,591       389      41,383
December ...................     1,931     184,130     1,763     172,881       465      52,816

             2011                                                                             

January ....................     2,558     246,463     2,372     229,765       693      75,006
February ...................     1,024      85,585       919      78,718       222      18,471
March ......................       908      85,095       844      80,014       191      20,869
April ......................     1,750     189,919     1,625     176,478       397      47,104
May ........................     1,367     119,911     1,221     108,531       270      25,199
June .......................     1,661     159,930     1,238     122,821       226      22,986
July .......................     2,176     216,774     1,759     174,078       602      71,814
August .....................       961      99,213       875      93,159       228      26,916
September ..................     1,189     117,232     1,095     107,300       296      32,058
October ....................     1,101      96,914       950      83,748       265      28,447
November ...................     1,393     127,750     1,245     117,474       349      37,799
December ...................     2,433     263,665     2,258     247,916       658      75,033

             2012                                                                             

January ....................     1,705     141,703     1,587     132,754       415      38,021
February ...................       895      73,974       820      69,076       196      16,555
March ......................     1,125     117,817     1,040     110,954       242      24,241
April ......................     1,421     146,358     1,293     132,697       256      32,518
May ........................     1,201     109,259     1,081     100,434       186      18,800
June .......................     1,890     198,537     1,485     158,334       255      28,570
July .......................     1,515     157,753     1,321     144,340       559      74,963
August .....................     1,063     104,045       992      97,694       251      31,193
September ..................       811      70,570       749      66,214       221      22,748
October ....................     1,142     109,829       968      97,390       277      37,702
November ...................     2,339     249,949     2,078     228,124       551      72,690
December ...................     1,973     187,137     1,822     177,452       477      50,686

             2013                                                                             

January ....................     1,528     144,517     1,424     135,970       455      50,793
February ...................       960      79,786       846      72,391       192      21,630




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 
                                                       February   February  February   February    February   February  February   February
                                                         2012       2013      2012       2013        2012       2013      2012       2013

      Total (2) ..................................        895        960     73,974     79,786        224        240     18,494     19,947

Total, private ...................................        865        928     71,884     77,091        216        232     17,971     19,273
    Agriculture, forestry, fishing and hunting ...         45         82      2,808      4,700         11         21        702      1,175

  Total, private nonfarm .........................        820        846     69,076     72,391        205        212     17,269     18,098
    Mining .......................................          7          4        510        311          2          1        128         78
    Utilities ....................................          -        (3)          -        (3)          -        (3)          -        (3)
    Construction .................................         81        103      5,395      8,221         20         26      1,349      2,055
        Construction of buildings ................         12         17        760      1,099          3          4        190        275
        Heavy and civil engineering construction .         19         37      1,319      3,645          5          9        330        911
        Specialty trade contractors ..............         50         49      3,316      3,477         13         12        829        869
    Manufacturing ................................        196        192     16,555     21,630         49         48      4,139      5,408
        Food .....................................         45         41      4,208      3,879         11         10      1,052        970
        Beverage and tobacco products ............          4        (3)        199        (3)          1        (3)         50        (3)
        Textile mills ............................          7          7        638        499          2          2        160        125
        Textile product mills ....................          4          6        512        470          1          2        128        118
        Apparel ..................................          4          4        379        240          1          1         95         60
        Leather and allied products ..............          -          3          -        227          -          1          -         57
        Wood products ............................         13         11      1,292      1,075          3          3        323        269
        Paper ....................................          6          3        397        220          2          1         99         55
        Printing and related support activities ..          9          5        634        615          2          1        159        154
        Petroleum and coal products ..............        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)

        Chemicals ................................        (3)          4        (3)        272        (3)          1        (3)         68
        Plastics and rubber products .............          9          7        547      1,575          2          2        137        394
        Nonmetallic mineral products .............          7          7        505        591          2          2        126        148
        Primary metals ...........................          6         10        428      1,221          2          3        107        305
        Fabricated metal products ................         10         14        699        947          3          4        175        237
        Machinery ................................          9         15        994      1,347          2          4        249        337
        Computer and electronic products .........         15         12      1,008        684          4          3        252        171
        Electrical equipment and appliances ......          7          6        590      1,396          2          2        148        349
        Transportation equipment .................         20         23      1,725      5,175          5          6        431      1,294
        Furniture and related products ...........         13          7      1,095        532          3          2        274        133
        Miscellaneous manufacturing ..............          4          3        467        388          1          1        117         97

    Wholesale trade ..............................         17         12      1,594        854          4          3        399        214
    Retail trade (4) .............................        135        128     12,716     10,111         34         32      3,179      2,528
        Building material and garden supply stores          7         10        494        804          2          3        124        201
        Food and beverage stores .................         26         24      2,735      1,915          7          6        684        479
        Clothing and clothing accessories stores .         19         23      1,390      1,392          5          6        348        348
        General merchandise stores ...............         57         47      6,096      4,496         14         12      1,524      1,124
    Transportation and warehousing (4) ...........         32         34      3,506      3,833          8          9        877        958
        Truck transportation .....................          3          6        154        339          1          2         39         85
        Transit and ground passenger
          transportation .........................         17         19      2,561      2,939          4          5        640        735
        Support activities for transportation ....          3          4        184        263          1          1         46         66
    Information ..................................         42         37      4,456      3,247         11          9      1,114        812
    Finance and insurance ........................         22         20      1,891      1,400          6          5        473        350
    Real estate and rental and leasing ...........          5          6        305        427          1          2         76        107
    Professional and technical services ..........         25         45      1,931      2,907          6         11        483        727
    Management of companies and enterprises ......          5        (3)        344        (3)          1        (3)         86        (3)
    Administrative and waste services ............        155        164     11,920     11,875         39         41      2,980      2,969
    Educational services .........................          6          8        341        442          2          2         85        111
    Health care and social assistance ............         26         26      1,686      1,601          7          7        422        400
    Arts, entertainment, and recreation ..........         19         12      1,442        808          5          3        361        202
    Accommodation and food services ..............         37         45      3,814      4,046          9         11        954      1,012
        Accommodation ............................          8         16        493      1,270          2          4        123        318
        Food services and drinking places ........         29         29      3,321      2,776          7          7        830        694
    Other services, except public administration .          7          5        526        296          2          1        132         74
    Unclassified .................................          3          2        144        133          1          1         36         33

Government .......................................         30         32      2,090      2,695          8          8        523        674
    Federal ......................................          5          7        337        561          1          2         84        140
    State ........................................         10         13        715      1,178          3          3        179        295
         State government education ..............          7          6        531        395          2          2        133         99
    Local ........................................         15         12      1,038        956          4          3        260        239
         Local government education ..............          6          4        377        311          2          1         94         78

   1 Average weekly analysis mitigates the effect of differing lengths of months. There were 4 weeks in February 2012 and 4 weeks in
February 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
                                 February   February  February   February    February   February  February   February
                                   2012       2013      2012       2013        2012       2013      2012       2013

   Total (2) ...............        895        960     73,974     79,786        224        240     18,494     19,947
Northeast ..................        203        159     18,074     15,631         51         40      4,519      3,908
    Connecticut ............          5         15        505      1,656          1          4        126        414
    Maine ..................        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)
    Massachusetts ..........          5         10        358        840          1          3         90        210
    New Hampshire ..........          3        (3)        209        (3)          1        (3)         52        (3)
    New Jersey .............         26         24      2,246      2,020          7          6        562        505
    New York ...............         91         52      8,124      4,652         23         13      2,031      1,163
    Pennsylvania ...........         61         45      4,448      4,261         15         11      1,112      1,065
    Rhode Island ...........          7          7      1,883      1,838          2          2        471        460
    Vermont ................        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)

South ......................        242        237     19,704     19,264         61         59      4,926      4,816
    Alabama ................          7          9        541        776          2          2        135        194
    Arkansas ...............         11          9      1,163        679          3          2        291        170
    Delaware ...............        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)
    District of Columbia ...        (3)        (3)        (3)        (3)        (3)        (3)        (3)        (3)
    Florida ................         65         55      3,742      3,090         16         14        936        773
    Georgia ................         20         17      2,195      1,212          5          4        549        303
    Kentucky ...............         18         15      1,338      2,267          5          4        335        567
    Louisiana ..............         13          6      1,294        492          3          2        324        123
    Maryland (4) ...........         10          7        825        492          3          2        206        123
    Mississippi ............          6          5        353        269          2          1         88         67
    North Carolina .........         27         34      2,604      3,282          7          9        651        821
    Oklahoma ...............          5        (3)        315        (3)          1        (3)         79        (3)
    South Carolina .........          8         10        700        964          2          3        175        241
    Tennessee ..............          4         10        584        744          1          3        146        186
    Texas ..................         33         40      2,714      3,298          8         10        679        825
    Virginia ...............         10         14      1,027      1,243          3          4        257        311
    West Virginia ..........          -        (3)          -        (3)          -        (3)          -        (3)

Midwest ....................        152        146     13,591     15,411         38         37      3,398      3,853
    Illinois ...............         40         24      3,291      1,834         10          6        823        459
    Indiana ................          4         12        314      2,115          1          3         79        529
    Iowa ...................         11          7      1,246        734          3          2        312        184
    Kansas .................          4          8        447      2,956          1          2        112        739
    Michigan ...............         28         16      2,639      1,315          7          4        660        329
    Minnesota ..............          3        (3)        237        (3)          1        (3)         59        (3)
    Missouri ...............          7         15        449        840          2          4        112        210
    Nebraska ...............          8          6        610        448          2          2        153        112
    North Dakota ...........          -        (3)          -        (3)          -        (3)          -        (3)
    Ohio ...................         25         25      2,381      2,211          6          6        595        553
    South Dakota ...........          -        (3)          -        (3)          -        (3)          -        (3)
    Wisconsin ..............         22         26      1,977      2,344          6          7        494        586

West .......................        298        418     22,605     29,480         75        105      5,651      7,370
    Alaska .................        (3)          4        (3)        361        (3)          1        (3)         90
    Arizona ................         13          5      1,023        527          3          1        256        132
    California .............        225        360     16,919     24,357         56         90      4,230      6,089
    Colorado ...............          6        (3)        478        (3)          2        (3)        120        (3)
    Hawaii .................        (3)          4        (3)        356        (3)          1        (3)         89
    Idaho ..................          6          3        399        201          2          1        100         50
    Montana ................          -          -          -          -          -          -          -          -
    Nevada .................          5          8        427        701          1          2        107        175
    New Mexico .............          5        (3)        348        (3)          1        (3)         87        (3)
    Oregon .................         19         13      1,497      1,203          5          3        374        301
    Utah ...................          3        (3)        228        (3)          1        (3)         57        (3)
    Washington .............         13         17      1,084      1,470          3          4        271        368
    Wyoming ................          -          -          -          -          -          -          -          -
    
    Puerto Rico ............         13          8      1,131        810          3          2        283        203
                                                                                                                    
   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: March 22, 2013