Employment up 12.6 percent over the year in Midland County, Texas, March 2018

August 24, 2018

From March 2017 to March 2018, employment increased in 314 of the 349 largest U.S. counties. Midland, Texas, had the largest percentage increase with a gain of 12.6 percent over the year, compared with the national job growth rate of 1.6 percent. Average weekly wages increased 5.7 percent over the year in Midland. Employment increased by 5.0 percent or more in Utah, Utah; Boone, Kentucky; Montgomery, Texas; and Calcasieu, Louisiana.

Over-the-year change in employment and wages in the 349 largest U.S. counties, first quarter 2018
County Percent change in
employment,
March 2017–
March 2018
Percent change in
average weekly wage,
First quarter 2017–
First quarter 2018
  Employment,  
March 2018
Average weekly wage,
First quarter 2018

United States

1.6% 3.7% 144,562,900 $1,152

Ada, ID

4.5 5.1 239,900 943

Adams, CO

4.5 2.4 209,000 1,046

Alachua, FL

1.4 7.3 132,000 940

Alameda, CA

2.4 4.2 779,800 1,516

Albany, NY

-0.2 2.7 231,200 1,102

Alexandria City, VA

-1.2 2.4 91,500 1,499

Allegheny, PA

1.2 3.1 691,300 1,238

Allen, IN

1.1 3.8 185,100 929

Anchorage, AK

-0.1 2.5 146,300 1,120

Anne Arundel, MD

0.7 3.9 268,700 1,165

Anoka, MN

0.7 3.7 122,000 985

Arapahoe, CO

1.7 3.5 328,000 1,377

Arlington, VA

1.2 3.9 175,900 1,925

Atlantic, NJ

-0.2 2.3 119,800 907

Baltimore City, MD

2.5 1.8 343,100 1,277

Baltimore, MD

0.2 3.1 375,600 1,109

Barnstable, MA

0.2 2.2 86,400 926

Bay, FL

1.0 2.0 78,300 756

Bell, TX

0.8 0.7 118,400 876

Benton, AR

1.8 2.8 119,800 1,502

Benton, WA

3.6 1.9 87,800 1,060

Bergen, NJ

1.3 2.1 439,300 1,315

Berks, PA

1.2 4.2 171,800 976

Bernalillo, NM

0.3 2.1 326,000 916

Bexar, TX

1.2 2.5 860,600 1,009

Bibb, GA

1.0 2.4 82,800 855

Boone, KY

5.9 0.1 91,100 905

Boone, MO

0.2 0.5 93,600 829

Boulder, CO

2.3 2.5 181,200 1,312

Brazoria, TX

1.7 3.5 110,900 1,206

Brazos, TX

3.3 5.5 105,800 805

Brevard, FL

3.3 2.1 213,900 940

Bristol, MA

0.0 -1.5 222,600 954

Bronx, NY

1.7 2.7 316,800 1,040

Broome, NY

0.1 4.6 85,500 869

Broward, FL

1.3 4.9 808,900 1,047

Brown, WI

1.7 3.9 156,600 997

Bucks, PA

1.2 2.5 261,800 1,002

Buncombe, NC

2.2 2.5 131,100 815

Burlington, NJ

1.4 3.2 202,500 1,138

Butler, OH

1.5 1.3 153,200 1,005

Butler, PA

0.1 0.5 84,900 967

Butte, CA

1.7 3.6 83,300 800

Cabarrus, NC

2.2 2.1 75,700 793

Caddo, LA

-0.9 2.2 111,600 833

Calcasieu, LA

5.0 4.1 101,900 969

Camden, NJ

0.4 3.7 203,900 1,045

Cameron, TX

1.5 2.3 139,300 628

Cass, ND

0.7 3.1 116,000 970

Catawba, NC

0.5 1.8 87,800 841

Champaign, IL

0.3 2.5 89,600 912

Charleston, SC

2.5 3.4 249,300 981

Chatham, GA

3.5 3.1 156,300 932

Chesapeake City, VA

2.0 2.2 101,100 850

Chester, PA

1.3 4.2 247,700 1,479

Chesterfield, VA

1.9 3.1 136,200 942

Chittenden, VT

1.1 3.6 100,400 1,055

Clackamas, OR

1.1 4.0 163,700 1,008

Clark, NV

2.6 5.0 982,800 970

Clark, WA

4.5 4.8 159,800 1,011

Clay, MO

1.5 1.8 102,600 951

Clayton, GA

1.8 11.3 121,300 1,320

Cleveland, OK

2.1 2.2 81,100 759

Cobb, GA

2.0 1.7 361,300 1,218

Collier, FL

1.3 5.2 152,000 929

Collin, TX

3.6 3.4 409,900 1,374

Contra Costa, CA

1.2 3.6 369,100 1,396

Cook, IL

0.7 3.7 2,565,000 1,420

Cumberland, ME

4.0 3.9 183,900 1,055

Cumberland, NC

0.9 1.4 120,100 800

Cumberland, PA

0.4 3.5 132,700 997

Cuyahoga, OH

0.9 3.0 715,600 1,150

Dakota, MN

-0.2 2.4 185,500 1,100

Dallas, TX

1.6 3.4 1,684,900 1,426

Dane, WI

0.8 4.2 332,100 1,144

Dauphin, PA

1.9 2.5 180,500 1,085

Davidson, TN

2.7 6.2 488,400 1,228

Davis, UT

2.0 4.7 127,100 867

DeKalb, GA

0.8 2.4 298,700 1,169

Delaware, OH

1.9 2.7 86,200 1,205

Delaware, PA

1.2 4.3 222,500 1,272

Denton, TX

2.3 0.3 242,100 984

Denver, CO

2.9 4.1 511,000 1,458

Deschutes, OR

4.1 3.7 81,200 868

Douglas, CO

2.3 3.9 123,100 1,337

Douglas, NE

0.3 3.0 336,500 1,034

DuPage, IL

-0.1 2.7 612,000 1,309

Durham, NC

1.9 2.9 202,000 1,428

Dutchess, NY

0.9 2.4 111,900 1,036

Duval, FL

3.3 5.0 513,400 1,100

East Baton Rouge, LA

0.4 2.4 267,800 1,024

El Paso, CO

2.2 3.2 272,400 977

El Paso, TX

0.8 2.9 304,000 744

Elkhart, IN

4.7 3.8 137,500 1,006

Erie, NY

0.6 3.0 464,600 996

Erie, PA

0.0 3.1 120,200 825

Escambia, FL

1.4 3.4 134,800 879

Essex, MA

0.5 3.1 320,600 1,180

Essex, NJ

0.6 2.6 341,800 1,506

Fairfax, VA

1.4 3.0 603,900 1,802

Fairfield, CT

-0.3 0.4 414,500 1,959

Fayette, KY

0.1 2.5 191,400 925

Forsyth, NC

1.4 -4.8 185,400 1,052

Fort Bend, TX

4.3 3.2 185,300 1,050

Franklin, OH

1.6 3.0 744,300 1,148

Frederick, MD

1.4 -0.1 101,400 984

Fresno, CA

0.8 3.7 377,100 834

Fulton, GA

3.0 0.3 868,900 1,672

Galveston, TX

0.0 7.0 109,000 1,013

Genesee, MI

0.4 1.7 132,500 889

Gloucester, NJ

2.7 2.1 110,200 893

Greene, MO

1.2 1.2 165,800 813

Greenville, SC

2.5 2.7 271,600 936

Guilford, NC

0.9 2.5 281,100 953

Gwinnett, GA

2.2 0.4 353,200 1,054

Hall, GA

2.2 1.9 87,400 879

Hamilton, IN

2.3 3.8 139,800 1,134

Hamilton, OH

0.5 0.6 510,500 1,209

Hamilton, TN

2.0 2.4 203,500 963

Hampden, MA

0.7 1.8 206,100 982

Harford, MD

1.8 -1.4 92,800 989

Harris, TX

1.3 3.5 2,287,900 1,495

Harrison, MS

0.1 2.9 85,200 754

Hartford, CT

0.2 3.7 504,600 1,467

Hennepin, MN

1.0 1.7 919,200 1,497

Henrico, VA

1.3 1.5 189,900 1,113

Hidalgo, TX

1.9 2.7 261,300 657

Hillsborough, FL

1.6 4.0 686,900 1,105

Hillsborough, NH

0.4 8.6 201,900 1,242

Hinds, MS

-0.8 1.9 120,600 903

Honolulu, HI

-0.2 1.8 474,800 1,015

Horry, SC

2.8 0.5 126,600 631

Howard, MD

-0.2 2.6 168,300 1,348

Hudson, NJ

0.7 7.7 262,300 1,753

Ingham, MI

0.2 4.7 151,100 1,034

Jackson, MO

-0.3 1.7 366,200 1,087

Jackson, OR

3.3 2.3 88,500 791

Jefferson, AL

1.7 3.3 347,100 1,134

Jefferson, CO

2.2 2.6 235,400 1,155

Jefferson, KY

0.6 2.0 464,400 1,118

Jefferson, LA

-0.8 1.0 188,300 935

Jefferson, TX

-1.1 4.5 122,200 1,172

Johnson, IA

0.5 2.4 84,000 976

Johnson, KS

1.8 1.8 344,000 1,131

Kalamazoo, MI

0.8 1.7 119,100 1,046

Kanawha, WV

-1.4 1.7 98,200 934

Kane, IL

0.6 2.6 211,600 953

Kent, MI

2.2 2.3 403,400 950

Kent, RI

0.9 2.2 74,200 978

Kern, CA

0.6 2.9 303,000 914

King, WA

3.0 10.1 1,375,100 1,761

Kings, NY

4.7 2.0 756,700 920

Kitsap, WA

3.0 3.7 88,500 960

Knox, TN

0.9 4.4 237,300 982

Lackawanna, PA

1.2 4.1 97,200 808

Lafayette, LA

0.0 2.2 129,300 889

Lake, FL

1.8 4.2 98,600 712

Lake, IL

2.0 4.6 328,800 1,686

Lake, IN

0.7 2.1 185,900 920

Lake, OH

0.7 2.1 93,800 888

Lancaster, NE

1.3 3.7 169,500 877

Lancaster, PA

2.1 2.2 238,300 902

Lane, OR

1.2 3.4 155,400 827

Larimer, CO

3.1 4.4 158,400 1,026

Lee, FL

3.0 2.9 267,900 858

Lehigh, PA

2.0 0.7 188,900 1,073

Leon, FL

2.3 3.3 150,800 865

Lexington, SC

3.4 -2.2 118,800 803

Linn, IA

0.7 1.9 129,300 1,039

Lorain, OH

1.1 2.8 96,400 848

Los Angeles, CA

1.6 2.3 4,424,400 1,252

Loudoun, VA

2.6 3.1 165,400 1,289

Lubbock, TX

0.9 4.3 139,000 830

Lucas, OH

0.2 5.7 207,300 998

Luzerne, PA

1.3 1.6 143,600 837

Macomb, MI

2.2 2.6 329,100 1,141

Madison, AL

2.5 2.6 198,300 1,152

Madison, IL

2.6 1.3 100,600 837

Mahoning, OH

0.5 2.5 96,100 747

Manatee, FL

1.5 4.3 125,600 821

Maricopa, AZ

3.2 3.3 1,983,600 1,084

Marin, CA

1.2 7.1 114,700 1,415

Marion, FL

1.4 4.0 103,000 723

Marion, IN

0.5 5.0 591,900 1,218

Marion, OR

2.0 2.8 152,700 867

Maui + Kalawao, HI

0.8 4.4 78,100 882

McHenry, IL

0.7 2.0 95,700 861

McLean, IL

-0.3 -2.5 82,700 1,114

McLennan, TX

0.2 4.8 111,800 895

Mecklenburg, NC

2.0 3.5 688,200 1,518

Merced, CA

2.1 -1.1 78,100 796

Mercer, NJ

1.3 2.4 247,400 1,531

Merrimack, NH

1.1 4.2 77,200 1,002

Miami-Dade, FL

1.4 4.5 1,147,000 1,101

Middlesex, MA

1.7 4.2 908,800 1,795

Middlesex, NJ

1.0 2.9 424,100 1,363

Midland, TX

12.6 5.7 99,600 1,510

Milwaukee, WI

0.5 3.8 485,500 1,096

Minnehaha, SD

1.1 2.7 125,300 948

Mobile, AL

-0.2 3.2 169,700 901

Monmouth, NJ

1.4 4.8 255,600 1,120

Monroe, NY

0.8 3.2 384,000 1,002

Monterey, CA

3.4 3.0 178,400 926

Montgomery, AL

-0.9 0.7 130,900 870

Montgomery, MD

0.2 5.9 469,100 1,586

Montgomery, OH

1.2 2.4 253,600 920

Montgomery, PA

1.0 3.5 490,000 1,497

Montgomery, TX

5.6 5.5 185,000 1,150

Morris, NJ

1.2 1.5 289,700 1,808

Multnomah, OR

1.7 5.2 507,200 1,170

Muscogee, GA

1.2 8.7 94,900 963

Napa, CA

1.1 5.4 77,100 1,059

Nassau, NY

1.5 2.7 628,700 1,195

New Castle, DE

0.8 1.2 286,600 1,386

New Hanover, NC

1.5 2.2 113,100 874

New Haven, CT

0.3 2.3 362,000 1,100

New London, CT

-0.2 3.3 122,300 1,167

New York, NY

1.0 2.9 2,446,500 3,087

Newport News City, VA

4.1 -2.4 100,700 1,037

Norfolk City, VA

0.7 2.9 142,700 1,052

Norfolk, MA

0.8 1.3 349,800 1,288

Northampton, PA

0.4 1.7 113,400 932

Nueces, TX

-0.3 1.8 163,300 920

Oakland, MI

1.3 3.1 727,900 1,277

Ocean, NJ

3.2 1.7 164,000 862

Okaloosa, FL

2.1 1.3 85,100 855

Oklahoma, OK

2.1 4.0 452,000 1,064

Olmsted, MN

1.7 3.5 98,000 1,270

Oneida, NY

0.3 3.2 105,000 843

Onondaga, NY

0.8 3.0 241,600 1,002

Orange, CA

2.1 3.2 1,617,500 1,258

Orange, FL

3.5 4.1 846,800 982

Orange, NY

2.4 1.2 144,000 899

Orleans, LA

0.7 4.0 194,800 1,059

Osceola, FL

4.0 1.9 94,500 713

Ottawa, MI

1.6 4.8 124,700 935

Outagamie, WI

0.6 3.2 106,600 930

Palm Beach, FL

1.6 3.1 613,100 1,086

Pasco, FL

2.9 2.4 120,100 733

Passaic, NJ

0.4 2.2 165,100 1,043

Peoria, IL

2.8 23.8 105,400 1,440

Philadelphia, PA

1.5 3.4 677,200 1,322

Pierce, WA

2.4 3.7 306,900 979

Pima, AZ

0.9 4.1 368,400 921

Pinellas, FL

2.4 4.1 435,900 947

Pitt, NC

2.8 2.8 77,400 853

Placer, CA

3.4 2.0 166,000 1,081

Plymouth, MA

1.3 4.2 189,600 1,003

Polk, FL

1.2 1.4 219,600 824

Polk, IA

1.1 1.7 296,600 1,163

Potter, TX

0.3 3.8 77,700 847

Prince George's, MD

0.5 2.2 316,200 1,112

Prince William, VA

2.5 4.0 128,400 936

Providence, RI

0.8 3.1 284,000 1,145

Pulaski, AR

0.2 3.3 249,400 977

Queens, NY

1.9 1.8 693,700 1,071

Ramsey, MN

0.4 -1.0 328,100 1,346

Richland, SC

0.1 1.9 221,600 945

Richmond City, VA

0.7 4.4 155,100 1,308

Richmond, GA

1.9 -0.1 106,300 867

Richmond, NY

1.4 2.8 120,700 971

Riverside, CA

3.1 2.8 732,600 890

Rockingham, NH

0.8 3.8 145,900 1,085

Rockland, NY

2.4 2.2 124,100 1,064

Rutherford, TN

3.5 0.3 129,300 906

Sacramento, CA

2.3 2.4 655,700 1,174

Saginaw, MI

-1.3 5.3 82,100 901

Salt Lake, UT

2.5 4.1 692,100 1,081

San Bernardino, CA

3.1 3.0 744,500 902

San Diego, CA

2.1 3.9 1,452,700 1,218

San Francisco, CA

2.9 10.0 730,500 2,485

San Joaquin, CA

2.0 3.3 248,200 879

San Luis Obispo, CA

0.8 4.3 117,600 919

San Mateo, CA

1.7 6.9 399,300 2,606

Sangamon, IL

-0.2 4.4 128,900 1,069

Santa Barbara, CA

1.7 0.2 195,800 1,019

Santa Clara, CA

2.2 9.1 1,085,400 2,651

Santa Cruz, CA

1.0 3.9 101,200 992

Sarasota, FL

1.8 7.7 173,000 924

Saratoga, NY

2.9 3.3 86,700 992

Scott, IA

-0.2 2.5 89,400 876

Sedgwick, KS

0.3 2.4 247,800 967

Seminole, FL

3.6 4.3 193,800 940

Shawnee, KS

-0.5 2.3 96,300 903

Shelby, AL

1.2 4.0 84,800 1,101

Shelby, TN

1.1 1.6 492,500 1,074

Smith, TX

1.0 3.8 102,400 856

Snohomish, WA

0.7 8.6 284,600 1,278

Solano, CA

2.0 6.0 139,500 1,194

Somerset, NJ

0.7 2.5 184,700 2,078

Sonoma, CA

1.6 5.2 206,900 1,030

Spartanburg, SC

3.7 4.6 141,100 927

Spokane, WA

2.5 3.3 220,800 934

St Charles, MO

0.7 5.2 146,500 959

St Clair, IL

-0.7 0.9 93,000 809

St Joseph, IN

-0.1 3.8 122,300 857

St Louis City, MO

1.4 3.9 227,800 1,249

St Louis, MN

0.2 4.7 96,400 870

St Louis, MO

0.7 4.9 600,900 1,202

St Tammany, LA

1.1 2.9 87,300 901

Stanislaus, CA

2.4 2.7 186,900 905

Stark, OH

1.5 4.6 158,700 816

Stearns, MN

-0.1 1.6 85,300 932

Suffolk, MA

1.8 12.1 669,000 2,268

Suffolk, NY

-0.1 1.2 645,100 1,143

Summit, OH

0.4 1.0 262,800 981

Sussex, DE

3.6 3.8 77,000 788

Tarrant, TX

2.1 4.4 887,600 1,108

Thurston, WA

3.0 4.7 115,700 981

Tippecanoe, IN

1.2 6.6 83,900 964

Travis, TX

2.7 4.0 738,600 1,307

Tulare, CA

-0.7 2.8 154,900 771

Tulsa, OK

1.5 2.5 355,000 1,010

Tuscaloosa, AL

1.4 5.1 93,600 878

Union, NJ

2.1 0.4 225,300 1,400

Utah, UT

6.0 9.7 239,900 930

Vanderburgh, IN

1.9 2.3 108,400 888

Ventura, CA

0.7 -0.9 326,000 1,100

Virginia Beach City, VA

-0.2 3.4 175,600 823

Volusia, FL

1.2 2.6 174,400 762

Wake, NC

3.0 3.7 552,200 1,151

Warren, OH

1.0 3.5 91,700 1,035

Washington, AR

2.9 -3.1 107,700 852

Washington, DC

1.2 1.9 770,200 1,917

Washington, MN

2.1 2.6 84,600 954

Washington, OR

2.5 4.7 293,600 1,419

Washington, PA

1.6 3.3 86,000 1,228

Washoe, NV

2.3 5.2 218,200 956

Washtenaw, MI

1.6 2.3 213,500 1,132

Waukesha, WI

0.4 6.5 239,900 1,142

Wayne, MI

0.7 3.8 716,500 1,268

Webb, TX

1.1 2.4 100,900 690

Weber, UT

3.5 3.1 106,100 808

Weld, CO

4.7 6.0 108,200 1,040

Westchester, NY

0.9 3.3 424,600 1,526

Westmoreland, PA

0.5 4.5 131,900 880

Whatcom, WA

2.3 4.8 90,300 923

Will, IL

1.0 2.5 239,100 911

Williamson, TN

4.2 2.1 132,700 1,280

Williamson, TX

3.8 3.4 169,700 1,171

Winnebago, IL

0.4 2.3 125,500 942

Winnebago, WI

0.8 -0.7 93,200 1,006

Worcester, MA

0.7 1.3 345,400 1,094

Wyandotte, KS

1.1 2.1 88,200 1,025

Yakima, WA

4.0 4.6 111,900 758

Yellowstone, MT

-0.1 1.4 80,200 912

Yolo, CA

1.9 2.9 101,900 1,189

York, PA

0.9 3.3 178,000 936

York, SC

3.0 3.4 94,300 935

Kanawha, West Virginia, had the largest over-the-year percentage decrease in employment among the largest counties in the United States, with a loss of 1.4 percent. Average weekly wages increased 1.7 percent in Kanawha. Employment decreased by 1.1 percent or more in Saginaw, Michigan; Alexandria City, Virginia; and Jefferson, Texas.

The U.S. average weekly wage increased 3.7 percent over the year, growing to $1,152 in the first quarter of 2018. Peoria, Illinois, had the largest over-the-year percentage increase in average weekly wages, with a gain of 23.8 percent. Employment in Peoria increased 2.8 percent. Average weekly wages increased 10.0 percent or more in Suffolk, Massachusetts; Clayton, Georgia; King, Washington; and San Francisco, California.

Forsyth, North Carolina, had the largest over-the-year percentage decrease in average weekly wages with a loss of 4.8 percent. Washington, Arkansas; McLean, Illinois; Newport News City, Virginia; and Lexington, South Carolina had decreases in average weekly wages of 2.2 percent or more.

All of the 10 largest counties had over-the-year percentage increases in employment in March 2018. Maricopa, Arizona, had the largest gain, 3.2 percent. Cook, Illinois, had the smallest percentage increase in employment among the 10 largest counties, 0.7 percent.

Average weekly wages increased over the year in all of the 10 largest U.S. counties. King, Washington, experienced the largest percentage gain in average weekly wages, 10.1 percent. Los Angeles, California, had the smallest percentage gain in average weekly wages among the 10 largest counties, 2.3 percent.

These data are from the Quarterly Census of Employment and Wages program and are preliminary. To learn more, see "County Employment and Wages: First Quarter 2018." The 349 large counties are defined as those having average employment of at least 75,000 in 2017.

SUGGESTED CITATION

Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Employment up 12.6 percent over the year in Midland County, Texas, March 2018 on the Internet at https://www.bls.gov/opub/ted/2018/employment-up-12-point-6-percent-over-the-year-in-midland-county-texas-march-2018.htm (visited September 26, 2018).

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