ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable D-3. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division1

[In thousands]

State, area, and division

Total Mining and logging Construction

May2015

Apr.2016

May2016p

May2015

Apr.2016

May2016p

May2015

Apr.2016

May2016p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,017.8 16,401.2 16,461.7 29.4 25.2 25.5 719.0 754.2 760.7

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . 5,802.3 5,940.2 5,956.8 4.7 4.1 4.1 213.5 230.2 233.3

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,535.4 1,577.2 1,588.9 0.7 0.6 0.6 88.1 101.8 102.8

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . 4,266.9 4,363.0 4,367.9 4.0 3.5 3.5 125.4 128.4 130.5

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . 2,251.0 2,308.4 2,315.8 1.0 0.9 0.9 108.2 117.0 118.1

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,094.9 1,114.4 1,120.6 0.9 0.8 0.8 61.3 64.8 66.7

San Francisco-Redwood City-South San Francisco. . . . . . . . . 1,043.7 1,078.4 1,078.8 0.1 0.1 0.1 40.6 45.5 44.6

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.4 115.6 116.4 0.0 0.0 0.0 6.3 6.7 6.8

District of Columbia2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 770.0 779.3 781.0 – – – 14.4 14.3 14.2

Washington-Arlington-Alexandria2, 3. . . . . . . . . . . . . . . . . . . . . . . . . 3,185.4 3,231.7 3,247.3 – – – 150.7 158.6 158.3

Silver Spring-Frederick-Rockville2, 4. . . . . . . . . . . . . . . . . . . . . . . 588.5 594.0 594.6 – – – 33.2 35.8 36.1

Washington-Arlington-Alexandria2, 3. . . . . . . . . . . . . . . . . . . . . . . 2,596.9 2,637.7 2,652.7 – – – 117.5 122.8 122.2

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,093.5 8,357.4 8,354.1 5.9 5.8 5.8 425.8 447.3 455.7

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . 2,505.0 2,570.1 2,569.5 0.6 0.6 0.6 110.7 118.9 120.2

Fort Lauderdale-Pompano Beach-Deerfield Beach5. . . . . . . . . 796.4 827.7 827.0 – – – 40.5 42.7 43.4

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,123.4 1,142.1 1,143.5 0.4 0.4 0.4 39.8 46.0 46.6

West Palm Beach-Boca Raton-Delray Beach5. . . . . . . . . . . . . . 585.2 600.3 599.0 – – – 30.4 30.2 30.2

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,001.9 5,987.3 6,035.4 9.6 9.0 9.2 219.0 210.8 220.3

Chicago-Naperville-Elgin3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,611.2 4,620.9 4,672.7 1.6 1.4 1.5 168.4 166.1 173.7

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . 3,669.6 3,676.2 3,715.5 1.1 1.1 1.1 126.0 123.7 129.0

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257.7 257.7 260.7 0.2 0.1 0.2 13.2 13.4 14.4

Gary4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276.0 276.5 279.6 0.2 0.1 0.1 15.4 15.4 15.9

Lake County-Kenosha County3. . . . . . . . . . . . . . . . . . . . . . . . . . . 407.9 410.5 416.9 0.1 0.1 0.1 13.8 13.6 14.4

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,519.6 3,542.3 3,567.5 1.1 1.1 1.1 140.8 144.3 150.8

Boston-Cambridge-Nashua2, 3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,665.8 2,684.7 2,697.6 – – – 104.1 107.9 112.6

Boston-Cambridge-Newton2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,783.7 1,800.4 1,806.3 – – – 63.5 65.9 68.6

Brockton-Bridgewater-Easton2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.9 83.3 82.7 – – – 4.7 4.9 5.2

Framingham2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.1 173.5 175.0 – – – 8.7 9.1 9.7

Haverhill-Newburyport-Amesbury Town2, 3. . . . . . . . . . . . . . . . . 66.4 66.9 68.5 – – – 4.5 5.0 5.1

Lawrence-Methuen Town-Salem2, 3. . . . . . . . . . . . . . . . . . . . . . . 82.2 82.5 83.0 – – – 2.4 2.5 2.6

Lowell-Billerica-Chelmsford2, 3. . . . . . . . . . . . . . . . . . . . . . . . . . . . 150.3 150.3 151.8 – – – 7.9 8.0 8.3

Lynn-Saugus-Marblehead2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.6 44.8 45.2 – – – 1.5 1.4 1.5

Nashua2, 3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.1 126.4 127.8 – – – 4.9 4.9 5.2

Peabody-Salem-Beverly2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.4 96.5 97.1 – – – 3.0 3.1 3.1

Taunton-Middleborough-Norton2. . . . . . . . . . . . . . . . . . . . . . . . . . 59.1 60.1 60.2 – – – 3.0 3.1 3.3

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,279.0 4,307.4 4,361.8 7.9 6.8 7.1 151.7 143.9 156.6

Detroit-Warren-Dearborn2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,952.4 1,960.3 1,987.7 – – – 67.2 63.4 69.4

Detroit-Dearborn-Livonia2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 739.1 744.8 751.0 – – – 20.5 19.4 21.7

Warren-Troy-Farmington Hills2. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,213.3 1,215.5 1,236.7 – – – 46.7 44.0 47.7

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,300.8 9,331.9 9,382.6 5.5 4.9 5.2 366.4 360.9 377.5

New York-Newark-Jersey City2, 3. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,377.2 9,470.4 9,521.0 – – – 373.7 381.6 390.8

Dutchess County-Putnam County2. . . . . . . . . . . . . . . . . . . . . . . . 145.0 146.1 147.2 – – – 8.0 7.6 7.9

Nassau County-Suffolk County2. . . . . . . . . . . . . . . . . . . . . . . . . . 1,320.0 1,313.8 1,324.4 – – – 75.6 73.5 76.9

Newark2, 4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,194.3 1,200.0 1,206.9 – – – 43.3 41.7 45.2

New York-Jersey City-White Plains2, 3. . . . . . . . . . . . . . . . . . . . . 6,717.9 6,810.5 6,842.5 – – – 246.8 258.8 260.8

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,878.8 5,895.8 5,916.8 35.0 26.7 26.1 240.1 229.7 236.1

Philadelphia-Camden-Wilmington2, 3. . . . . . . . . . . . . . . . . . . . . . . . 2,838.3 2,885.4 2,896.9 – – – 111.6 113.5 114.9

Camden2, 4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 523.7 529.3 537.3 – – – 21.9 22.5 23.6

Montgomery County-Bucks County-Chester County2. . . . . . . . 1,039.5 1,053.5 1,058.4 – – – 50.9 52.2 52.4

Philadelphia2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 917.4 936.8 934.2 – – – 22.3 22.5 22.8

Wilmington2, 4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357.7 365.8 367.0 – – – 16.5 16.3 16.1

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,840.4 11,985.5 12,009.8 273.0 229.3 226.6 680.3 690.6 687.6

Dallas-Fort Worth-Arlington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,389.8 3,498.3 3,515.1 – – – 198.1 201.8 200.0

Dallas-Plano-Irving2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,391.2 2,489.3 2,502.3 – – – 127.0 131.5 129.5

Fort Worth-Arlington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 998.6 1,009.0 1,012.8 – – – 71.1 70.3 70.5

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,156.6 3,227.5 3,256.4 6.3 5.5 5.7 173.2 179.5 185.1

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,886.4 1,932.6 1,953.7 1.1 1.1 1.1 105.0 108.0 111.8

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,589.8 1,628.3 1,648.6 0.8 0.8 0.8 85.3 87.3 90.6

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296.6 304.3 305.1 0.3 0.3 0.3 19.7 20.7 21.2

1 These 11 areas contain all of the 38 metropolitan divisions.2 Mining and logging is combined with construction.3 Part of the area is in one or more adjacent states.4 All of the area is in one or more adjacent states.5 - Data not available.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area delineations arebased on Office of Management and Budget Bulletin No. 13-01, dated February 28, 2013, and available at www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan NewEngland City and Town Areas (NECTAs), while areas in other states are county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principalcity. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, N.J., are totally outside the states under which theirmetropolitan areas are listed. For Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va., the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision thefollowing month.

1

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable D-3. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitandivision-Continued1

[In thousands]

State, area, and division

Manufacturing Trade, transportation, and utilities Information

May2015

Apr.2016

May2016p

May2015

Apr.2016

May2016p

May2015

Apr.2016

May2016p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,287.7 1,276.1 1,276.6 2,902.0 2,957.2 2,966.5 480.3 497.5 494.1

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . 518.6 510.9 509.6 1,066.1 1,083.2 1,085.3 227.2 241.4 233.6

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.7 155.3 155.3 256.4 261.3 262.4 25.7 26.0 26.2

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . 361.9 355.6 354.3 809.7 821.9 822.9 201.5 215.4 207.4

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . 124.9 127.1 126.7 360.9 368.4 370.4 83.9 86.1 85.6

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.6 87.4 87.0 195.7 200.4 201.7 22.2 22.9 22.9

San Francisco-Redwood City-South San Francisco. . . . . . . . . 35.4 35.3 35.2 147.1 149.2 149.8 59.0 60.6 60.2

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.9 4.4 4.5 18.1 18.8 18.9 2.7 2.6 2.5

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 1.2 1.2 31.5 33.4 34.1 17.2 16.9 16.8

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . 52.8 52.4 53.3 400.9 409.6 413.8 77.6 74.8 71.4

Silver Spring-Frederick-Rockville2. . . . . . . . . . . . . . . . . . . . . . . . . 16.9 17.2 17.3 77.8 78.8 78.8 14.5 14.0 11.9

Washington-Arlington-Alexandria3. . . . . . . . . . . . . . . . . . . . . . . . . 35.9 35.2 36.0 323.1 330.8 335.0 63.1 60.8 59.5

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341.6 350.7 352.5 1,669.2 1,708.8 1,708.7 136.4 134.3 133.7

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . 84.2 84.8 84.7 581.0 592.4 592.8 48.2 48.0 47.9

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . 27.8 29.0 29.0 180.1 188.0 188.8 19.0 19.2 19.2

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 38.5 38.4 288.3 290.3 290.9 18.8 18.4 18.3

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . 17.2 17.3 17.3 112.6 114.1 113.1 10.4 10.4 10.4

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 582.4 572.5 573.1 1,198.8 1,196.3 1,205.8 102.2 97.2 97.8

Chicago-Naperville-Elgin3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413.2 411.9 412.0 925.9 929.4 938.7 81.9 80.6 81.0

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . 282.9 281.0 281.0 733.5 730.9 738.9 72.7 71.6 72.0

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.0 35.0 34.9 47.2 47.3 47.1 3.5 3.4 3.4

Gary2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.6 35.9 35.9 58.8 60.0 61.1 2.0 2.0 2.0

Lake County-Kenosha County3. . . . . . . . . . . . . . . . . . . . . . . . . . . 59.7 60.0 60.2 86.4 91.2 91.6 3.7 3.6 3.6

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250.9 249.3 249.5 566.8 564.7 570.7 87.4 89.0 84.9

Boston-Cambridge-Nashua3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192.5 188.7 189.0 416.3 416.9 421.0 77.0 77.7 74.9

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.2 80.8 80.9 245.2 244.8 247.3 56.4 57.5 56.3

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.5 5.3 5.2 16.5 16.9 16.8 0.5 0.5 0.4

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.9 24.4 24.4 30.2 29.4 29.8 5.4 5.5 5.4

Haverhill-Newburyport-Amesbury Town3. . . . . . . . . . . . . . . . . . . 9.5 9.7 9.8 13.6 14.2 14.3 0.4 0.4 0.4

Lawrence-Methuen Town-Salem3. . . . . . . . . . . . . . . . . . . . . . . . . 9.8 9.6 9.6 15.7 15.9 15.8 1.7 1.6 1.6

Lowell-Billerica-Chelmsford3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.9 22.4 22.5 23.7 23.4 23.6 7.0 7.0 6.1

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.6 4.5 4.5 8.4 8.5 8.5 1.0 0.7 0.7

Nashua3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.9 19.3 19.4 28.8 29.3 29.7 2.0 1.9 1.9

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.4 7.0 7.0 18.3 18.1 18.6 1.3 1.3 1.2

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 5.7 5.7 15.9 16.4 16.6 1.3 1.3 0.9

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 585.5 597.6 595.0 773.6 766.5 778.1 56.8 57.0 57.9

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238.5 241.0 240.8 360.6 358.0 362.6 27.3 27.4 27.6

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.7 91.0 90.1 139.8 139.4 140.1 7.3 7.4 7.4

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.8 150.0 150.7 220.8 218.6 222.5 20.0 20.0 20.2

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 454.6 450.7 451.1 1,569.1 1,559.5 1,570.5 263.8 269.6 256.4

New York-Newark-Jersey City3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367.4 368.4 371.4 1,713.8 1,711.3 1,717.8 283.5 287.3 276.1

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . 10.4 10.8 10.8 23.9 23.2 23.4 2.0 2.0 1.8

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . 71.6 71.8 71.8 274.2 265.8 267.9 20.5 19.9 18.1

Newark2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.0 75.3 76.1 242.5 245.6 245.8 23.5 22.9 19.5

New York-Jersey City-White Plains3. . . . . . . . . . . . . . . . . . . . . . . 210.4 210.5 212.7 1,173.2 1,176.7 1,180.7 237.5 242.5 236.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 569.9 563.9 567.5 1,122.0 1,127.3 1,133.1 85.0 86.8 83.0

Philadelphia-Camden-Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . 181.8 182.6 183.0 516.7 522.1 527.3 46.2 46.8 44.5

Camden2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.6 36.7 36.8 114.6 115.6 118.1 7.0 7.1 6.8

Montgomery County-Bucks County-Chester County. . . . . . . . . 90.8 91.4 91.6 204.8 206.2 207.2 20.7 21.0 20.6

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.9 34.6 34.8 133.0 135.4 136.6 14.5 14.8 13.5

Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.5 19.9 19.8 64.3 64.9 65.4 4.0 3.9 3.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 881.5 844.8 843.0 2,374.5 2,417.1 2,420.2 201.7 200.0 202.4

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.1 261.4 261.8 714.7 748.1 751.9 80.0 80.1 80.8

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166.9 167.2 167.4 476.7 502.9 506.5 68.0 68.6 69.2

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.2 94.2 94.4 238.0 245.2 245.4 12.0 11.5 11.6

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289.0 285.4 286.8 583.2 602.2 606.6 112.7 119.6 120.3

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187.3 184.4 186.4 350.1 364.6 367.7 96.1 102.9 103.3

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170.3 167.4 169.3 288.1 300.0 302.2 93.3 99.9 100.3

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.0 17.0 17.1 62.0 64.6 65.5 2.8 3.0 3.0

1 These 11 areas contain all of the 38 metropolitan divisions.2 All of the area is in one or more adjacent states.3 Part of the area is in one or more adjacent states.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area delineations arebased on Office of Management and Budget Bulletin No. 13-01, dated February 28, 2013, and available at www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan NewEngland City and Town Areas (NECTAs), while areas in other states are county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principalcity. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, N.J., are totally outside the states under which theirmetropolitan areas are listed. For Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va., the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision thefollowing month.

2

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable D-3. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitandivision-Continued1

[In thousands]

State, area, and division

Financial activities Professional and business services Education and health services

May2015

Apr.2016

May2016p

May2015

Apr.2016

May2016p

May2015

Apr.2016

May2016p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 796.4 806.3 809.7 2,465.1 2,548.1 2,559.7 2,453.1 2,543.0 2,552.4

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . 330.3 334.7 335.9 877.3 900.0 900.4 939.3 981.3 982.5

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.6 116.6 116.9 283.0 291.4 293.6 199.4 204.4 205.4

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . 213.7 218.1 219.0 594.3 608.6 606.8 739.9 776.9 777.1

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . 129.1 129.0 129.7 457.8 474.4 473.4 328.7 340.8 342.6

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.8 49.2 49.9 183.0 183.1 183.3 178.7 185.1 185.6

San Francisco-Redwood City-South San Francisco. . . . . . . . . 72.9 73.5 73.5 256.5 272.0 270.4 129.8 134.8 136.0

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 6.3 6.3 18.3 19.3 19.7 20.2 20.9 21.0

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.1 30.6 30.4 161.7 163.2 165.6 131.3 133.0 131.5

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . 153.7 154.8 154.1 721.8 735.1 739.2 416.0 424.4 423.3

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . 38.8 39.0 38.9 125.2 125.6 125.0 86.7 87.5 87.7

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . 114.9 115.8 115.2 596.6 609.5 614.2 329.3 336.9 335.6

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532.4 550.5 552.9 1,218.0 1,262.8 1,262.4 1,199.9 1,244.8 1,244.4

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . 173.9 181.7 182.3 402.8 414.7 414.6 368.5 375.7 374.4

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . 56.6 59.6 59.8 137.2 144.0 141.8 102.9 105.3 104.0

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.7 81.5 81.0 159.9 162.2 162.8 172.2 174.3 174.5

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . 39.6 40.6 41.5 105.7 108.5 110.0 93.4 96.1 95.9

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379.8 375.5 378.5 921.8 926.5 933.2 902.3 919.1 916.4

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292.4 290.2 292.0 809.2 809.2 821.9 705.0 715.5 713.3

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . 252.1 250.0 251.6 676.8 678.5 688.2 576.2 587.0 584.5

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.9 10.7 10.8 37.5 37.2 38.5 32.3 32.6 32.8

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.7 8.6 8.7 22.8 21.7 22.0 50.2 49.7 49.5

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . 20.7 20.9 20.9 72.1 71.8 73.2 46.3 46.2 46.5

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218.1 220.4 220.5 535.7 544.3 547.6 764.4 783.2 775.0

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.2 185.2 185.4 456.2 461.3 461.1 558.7 574.1 570.2

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.5 153.6 153.6 340.1 345.1 344.1 402.4 413.4 408.9

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.5 2.2 2.3 7.2 7.9 7.9 16.5 17.2 17.3

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 5.8 5.8 36.5 37.7 37.7 25.8 26.6 26.6

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . 2.0 2.0 2.1 5.5 5.6 5.7 10.3 10.5 10.6

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . 2.2 2.2 2.2 10.1 10.4 10.5 20.8 21.6 21.3

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.7 3.7 3.7 21.9 20.5 21.1 22.3 23.9 24.2

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.9 1.9 1.9 3.2 2.8 2.7 10.1 10.1 10.2

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.5 7.7 7.7 15.2 15.0 15.2 18.2 18.2 18.3

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.3 4.3 4.3 9.9 9.9 9.9 24.2 24.2 24.4

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . 1.8 1.8 1.8 6.6 6.4 6.3 8.1 8.4 8.4

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206.9 212.2 215.3 648.8 659.0 671.7 652.0 664.7 667.3

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.0 110.9 112.8 392.5 398.6 405.4 302.9 307.8 309.3

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.2 35.0 36.3 125.6 126.8 128.7 130.4 132.4 132.7

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.8 75.9 76.5 266.9 271.8 276.7 172.5 175.4 176.6

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 700.6 705.0 703.2 1,265.8 1,269.7 1,279.0 1,898.5 1,957.6 1,942.6

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 759.1 766.8 765.9 1,482.7 1,498.8 1,509.2 1,789.3 1,843.2 1,840.9

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . 4.8 4.8 4.8 11.6 11.5 11.6 37.3 38.9 38.6

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . 73.2 74.3 74.2 173.8 171.4 173.0 250.3 258.4 258.1

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.4 81.3 82.8 218.6 221.8 222.6 182.4 182.4 183.4

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . 601.7 606.4 604.1 1,078.7 1,094.1 1,102.0 1,319.3 1,363.5 1,360.8

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316.4 315.9 316.1 778.0 786.0 790.0 1,192.9 1,229.3 1,216.9

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . 207.9 209.1 210.2 451.3 466.5 471.9 603.9 622.6 617.3

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.8 28.9 29.1 78.5 80.2 82.8 91.4 92.2 93.4

Montgomery County-Bucks County-Chester County. . . . . . . . . 78.0 77.6 77.8 198.8 205.1 206.0 178.5 182.7 181.7

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.3 59.7 60.0 122.2 124.9 126.7 272.9 285.1 279.3

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.8 42.9 43.3 51.8 56.3 56.4 61.1 62.6 62.9

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 716.9 729.6 735.3 1,583.6 1,607.6 1,606.3 1,578.5 1,635.9 1,637.6

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 274.5 287.2 289.9 556.5 573.0 578.8 416.5 431.3 431.7

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218.8 229.7 231.9 446.2 460.4 465.5 288.7 300.6 300.7

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.7 57.5 58.0 110.3 112.6 113.3 127.8 130.7 131.0

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.1 150.3 152.3 385.5 401.6 404.2 460.1 468.3 470.8

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.3 98.8 100.0 265.5 272.6 274.4 256.6 260.2 261.6

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.4 84.3 85.2 238.8 245.0 246.9 204.6 207.5 209.7

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.9 14.5 14.8 26.7 27.6 27.5 52.0 52.7 51.9

1 These 11 areas contain all of the 38 metropolitan divisions.2 Part of the area is in one or more adjacent states.3 All of the area is in one or more adjacent states.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area delineations arebased on Office of Management and Budget Bulletin No. 13-01, dated February 28, 2013, and available at www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan NewEngland City and Town Areas (NECTAs), while areas in other states are county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principalcity. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, N.J., are totally outside the states under which theirmetropolitan areas are listed. For Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va., the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision thefollowing month.

3

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable D-3. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division1

[In thousands]

State, area, and division

Leisure and hospitality Other services Government

May2015

Apr.2016

May2016p

May2015

Apr.2016

May2016p

May2015

Apr.2016

May2016p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,838.5 1,888.5 1,899.3 548.5 553.0 556.6 2,497.8 2,552.1 2,560.6

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . 693.1 711.2 721.0 201.2 202.6 203.4 731.0 740.6 747.7

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203.9 209.3 210.8 49.5 49.0 49.1 155.4 161.5 165.8

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . 489.2 501.9 510.2 151.7 153.6 154.3 575.6 579.1 581.9

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . 259.9 265.0 267.6 84.1 84.1 84.4 312.5 315.6 316.4

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.6 110.0 111.3 38.3 38.6 38.8 171.8 172.1 172.6

San Francisco-Redwood City-South San Francisco. . . . . . . . . 136.6 139.4 140.5 40.5 40.2 40.3 125.2 127.8 128.2

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.7 15.6 15.8 5.3 5.3 5.3 15.5 15.7 15.6

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.0 76.4 76.4 71.1 70.5 70.3 236.6 239.8 240.5

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . 315.6 319.8 326.4 197.9 199.5 200.1 698.4 702.7 707.4

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . 54.6 54.7 56.6 32.1 32.1 32.2 108.7 109.3 110.1

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . 261.0 265.1 269.8 165.8 167.4 167.9 589.7 593.4 597.3

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,139.4 1,195.7 1,188.4 331.6 339.7 340.2 1,093.3 1,117.0 1,109.4

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . 308.3 320.8 319.8 120.9 124.1 123.9 305.9 308.4 308.3

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . 91.9 97.3 98.4 37.5 38.8 38.6 102.8 103.7 103.9

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134.3 137.0 137.2 52.3 53.1 53.2 140.5 140.4 140.2

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . 82.1 86.5 84.2 31.1 32.2 32.1 62.6 64.3 64.2

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 590.4 587.0 605.3 253.4 252.5 255.3 842.2 840.9 840.5

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461.3 462.6 477.5 194.4 194.2 196.1 557.9 559.8 565.0

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . 363.6 366.0 377.5 158.9 158.6 160.1 425.8 427.8 431.6

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.6 25.3 25.8 9.2 9.3 9.4 43.1 43.4 43.4

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.9 33.2 33.9 13.5 13.4 13.5 35.9 36.5 37.0

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 38.1 40.3 12.8 12.9 13.1 53.1 52.1 53.0

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.0 340.6 362.9 134.6 136.5 137.3 461.8 468.9 467.2

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262.8 252.0 263.5 101.1 103.6 104.1 316.9 317.3 315.8

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.3 172.0 179.0 67.1 69.3 69.5 199.0 198.0 198.1

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 6.5 6.7 4.3 4.2 4.3 16.5 17.7 16.6

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.5 12.4 13.1 5.3 5.2 5.2 18.0 17.4 17.3

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . 8.6 7.8 8.5 2.5 2.6 2.6 9.5 9.1 9.4

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . 7.9 7.4 7.9 3.0 3.0 3.0 8.6 8.3 8.5

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.0 13.1 14.1 4.6 4.7 4.7 23.3 23.6 23.5

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.5 5.3 5.6 2.7 2.9 2.9 6.7 6.7 6.7

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.6 11.3 11.5 5.4 5.4 5.5 13.6 13.4 13.4

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.9 10.6 11.3 4.0 4.0 4.1 13.1 14.0 13.2

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 5.6 5.8 2.2 2.3 2.3 8.6 9.1 9.1

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 426.1 412.9 434.5 168.3 170.1 170.8 601.4 616.7 607.5

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.7 192.5 199.7 76.0 76.8 77.2 186.7 183.9 182.9

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.0 79.3 80.8 29.3 28.9 29.1 85.3 85.2 84.1

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.7 113.2 118.9 46.7 47.9 48.1 101.4 98.7 98.8

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 916.5 888.0 923.5 404.5 411.1 411.2 1,455.5 1,454.9 1,462.4

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 887.7 870.6 907.0 413.3 422.0 420.6 1,306.7 1,320.4 1,321.3

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . 14.4 13.8 15.0 6.9 7.2 7.2 25.7 26.3 26.1

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . 124.1 120.3 125.1 58.6 59.0 59.0 198.1 199.4 200.3

Newark2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.3 92.9 97.3 55.5 56.3 56.7 177.8 179.8 177.5

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . 652.9 643.6 669.6 292.3 299.5 297.7 905.1 914.9 917.4

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 564.9 549.6 572.8 257.2 257.3 257.0 717.4 723.3 718.2

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . 259.3 258.3 264.3 118.4 119.2 119.9 341.2 344.7 343.6

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.6 45.5 46.5 18.6 18.7 18.9 80.7 81.9 81.3

Montgomery County-Bucks County-Chester County. . . . . . . . . 86.7 86.4 89.4 46.8 46.5 47.3 83.5 84.4 84.4

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.3 91.5 93.1 38.7 39.6 39.3 128.3 128.7 128.1

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.7 34.9 35.3 14.3 14.4 14.4 48.7 49.7 49.8

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,257.9 1,298.5 1,313.1 417.1 424.5 426.9 1,875.4 1,907.6 1,910.8

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353.2 371.0 373.6 119.2 120.3 120.1 414.0 424.1 426.5

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239.1 256.3 257.7 80.8 83.3 83.8 279.0 288.8 290.1

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.1 114.7 115.9 38.4 37.0 36.3 135.0 135.3 136.4

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.4 315.5 321.0 116.0 118.8 120.5 572.1 580.8 583.1

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.4 190.1 194.9 70.5 71.1 73.2 273.5 278.8 279.3

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.9 158.5 163.6 56.8 57.3 59.3 215.5 220.3 220.7

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.5 31.6 31.3 13.7 13.8 13.9 58.0 58.5 58.6

1 These 11 areas contain all of the 38 metropolitan divisions.2 Part of the area is in one or more adjacent states.3 All of the area is in one or more adjacent states.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area delineations arebased on Office of Management and Budget Bulletin No. 13-01, dated February 28, 2013, and available at www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan NewEngland City and Town Areas (NECTAs), while areas in other states are county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principalcity. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, N.J., are totally outside the states under which theirmetropolitan areas are listed. For Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va., the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision thefollowing month.

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