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News Release Information

19-1875-DAL
Monday, December 16, 2019

Contacts Technical information: Media contact:
  • (972) 850-4800

County Employment and Wages in Oklahoma – Second Quarter 2019

Employment rose in Oklahoma’s three large counties from June 2018 to June 2019, the U.S. Bureau of Labor Statistics reported today. (Large counties are those with annual average employment levels of 75,000 or more in 2018.) Assistant Commissioner for Regional Operations Stanley W. Suchman noted that employment increased 1.7 percent over the year in Cleveland County, 1.1 percent in Tulsa County, and 0.9 percent in Oklahoma County. (See table 1.)

Employment nationwide advanced 1.1 percent during the 12-month period as 279 of the 355 largest U.S. counties registered increases. Adams, CO, had the largest percentage increase in the country, up 5.3 percent over the year. Bay, FL, experienced the largest over-the-year percentage decrease in employment with a loss of 6.4 percent.

Among the three largest counties in Oklahoma, employment was highest in Oklahoma County (463,800) in June 2019. The counties of Tulsa and Cleveland had employment levels of 362,600 and 82,100, respectively. Together, the three largest Oklahoma counties accounted for 56.1 percent of total employment within the state. Nationwide, the 355 largest counties made up 73.4 percent of total U.S. employment.

All three large Oklahoma counties experienced average weekly wage gains from the second quarter of 2018 to the second quarter of 2019, with the fastest rates of increase in Cleveland and Oklahoma Counties, both up 3.0 percent. In Tulsa County, average weekly wages increased 2.4 percent. (See table 1.) Oklahoma County had the highest average weekly wage among the state’s largest counties at $1,000. Nationally, the average weekly wage increased 3.8 percent from a year ago to $1,095 in the second quarter of 2019.

Employment and wage levels (but not over-the-year changes) are also available for the 74 counties in Oklahoma with employment below 75,000. Wage levels in all of these smaller counties were below the national average in June 2019. (See table 2.)

Large county wage changes

The 3.0-percent annual average weekly wage gains in Cleveland and Oklahoma Counties tied for 220th among the nation’s 355 largest counties in the second quarter of 2019. The 2.4-percent wage gain in Tulsa County ranked 272nd. (See table 1.)

Nationally, 347 of the 355 largest counties had over-the-year wage increases. Benton, AR, had the largest percentage wage increase in the nation, up 16.3 percent. San Francisco, CA, had the second largest increase at 15.5 percent. 

Nationwide, eight large counties registered wage declines during the period. McLean, IL, had the largest percentage decrease in average weekly wages with a loss of 5.8 percent.

Large county average weekly wages

Weekly wages in the state’s three large counties were all below the national average of $1,095 in the second quarter of 2019. Average weekly wages in Oklahoma County ($1,000) and Tulsa County ($964) ranked 174th and 195th, respectively, near the middle of the national ranking. The average weekly wage in Cleveland County ($800) ranked 340th, near the bottom of the 355 largest U.S. counties. (See table 1.)

More than 70 percent of the largest U.S. counties (260) reported average weekly wages below the national average in the second quarter of 2019. At $649 a week, Horry County, SC, had the lowest average weekly wage among the 355 large counties. The next three lowest-paying large counties were in Texas: Hidalgo ($657), Cameron ($659), and Webb ($697).

Nationwide, average weekly wages were higher than the U.S. average in 93 of the 355 largest counties. Santa Clara, CA, held the top position with an average weekly wage of $2,612. San Francisco, CA, was second with an average weekly wage of $2,430, followed by San Mateo, CA ($2,373) and New York, NY ($2,109). Average wages in the highest-ranked county, Santa Clara, CA, were more than four times the average wage in the lowest-ranked county, Horry, SC ($649).

Average weekly wages in Oklahoma's smaller counties

All 74 smaller counties in Oklahoma – those with employment below 75,000 – reported average weekly wages below the national average of $1,095. Among these smaller counties, Dewey posted the highest weekly wage, $1,010, followed by Grant ($985), Beckham ($958) and Woodward ($953). Haskell County reported the lowest average wage in the state at $590 per week, followed by Greer County at $609 per week. (See table 2.)

When all 77 counties in Oklahoma were considered, 21 reported average weekly wages of less than $700, 24 registered wages from $700 to $799, 21 had wages from $800 to $899, and 11 had average weekly wages of $900 or more. (See chart 1.) The higher-paying counties were located in and around the Oklahoma City and Tulsa metropolitan areas, as well as the smaller areas of Elk City and Woodward. The lower-paying counties, those with weekly wages under $700, were concentrated in the in the southern and eastern portions of the state.

Additional statistics and other information

QCEW data for states have been included in this release in table 3. For additional information about quarterly employment and wages data, please read the Technical Note or visit www.bls.gov/cew.

Employment and Wages Annual Averages Online features comprehensive information by detailed industry on establishments, employment, and wages for the nation and all states. The 2018 edition of this publication, which was published in September 2019, contains selected data produced by Business Employment Dynamics (BED) on job gains and losses, as well as selected data from the first quarter 2019 version of the national news release. Tables and additional content from Employment and Wages Annual Averages Online are now available at www.bls.gov/cew/publications/employment-and-wages-annual-averages/2018/home.htm.

The County Employment and Wages release for third quarter 2019 is scheduled to be released on Thursday, February 20, 2020.


Technical Note

Average weekly wage data by county are compiled under the Quarterly Census of Employment and Wages (QCEW) program, also known as the ES-202 program. The data are derived from summaries of employment and total pay of workers covered by state and federal unemployment insurance (UI) legislation and provided by State Workforce Agencies (SWAs). The average weekly wage values are calculated by dividing quarterly total wages by the average of the three monthly employment levels of those covered by UI programs. The result is then divided by 13, the number of weeks in a quarter. It is to be noted, therefore, that over-the-year wage changes for geographic areas may reflect shifts in the composition of employment by industry, occupation, and such other factors as hours of work. Thus, wages may vary among counties, metropolitan areas, or states for reasons other than changes in the average wage level. Data for all states, Metropolitan Statistical Areas (MSAs), counties, and the nation are available on the BLS Web site at www.bls.gov/cew/; however, data in QCEW press releases have been revised (see Technical Note below) and may not match the data contained on the Bureau’s Web site.

QCEW data are not designed as a time series. QCEW data are simply the sums of individual establishment records reflecting the number of establishments that exist in a county or industry at a point in time. Establishments can move in or out of a county or industry for a number of reasons–some reflecting economic events, others reflecting administrative changes.

The preliminary QCEW data presented in this release may differ from data released by the individual states as well as from the data presented on the BLS Web site. These potential differences result from the states’ continuing receipt, review and editing of UI data over time. On the other hand, differences between data in this release and the data found on the BLS Web site are the result of adjustments made to improve over-the-year comparisons. Specifically, these adjustments account for administrative (noneconomic) changes such as a correction to a previously reported location or industry classification. Adjusting for these administrative changes allows users to more accurately assess changes of an economic nature (such as a firm moving from one county to another or changing its primary economic activity) over a 12-month period. Currently, adjusted data are available only from BLS press releases.

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.


Table 1. Covered employment and wages in the United States and the 3 largest counties in Oklahoma, second quarter 2019
AreaEmploymentAverage weekly wage (1)
June 2019
(thousands)
Percent change,
June 2018-19 (2)
National ranking
by percent
change (3)
Average
weekly wage
National ranking
by level (3)
Percent change,
second quarter
2018-19 (2)
National ranking
by percent
change (3)

United States (4)

149,089.21.1--$1,095--3.8--

Oklahoma

1,618.50.5--900413.139

Cleveland, OK

82.11.7978003403.0220

Oklahoma, OK

463.80.91741,0001743.0220

Tulsa, OK

362.61.11509641952.4272

Footnotes:
(1) Average weekly wages were calculated using unrounded data.
(2) Percent changes were computed from quarterly employment and pay data adjusted for noneconomic county reclassifications.
(3) Ranking does not include data for Puerto Rico or the Virgin Islands.
(4) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.

Note: Data are preliminary. Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs.

Table 2. Covered employment and wages in the United States and all counties in Oklahoma, 2nd quarter 2019
AreaEmployment
June
2019
Average
weekly
wage (1)

United States (2)

149,089,158$1,095

Oklahoma

1,618,477900

Adair

4,404653

Alfalfa

1,491832

Atoka

3,207651

Beaver

1,643905

Beckham

9,739958

Blaine

3,419848

Bryan

19,614761

Caddo

7,222794

Canadian

36,587904

Carter

23,840814

Cherokee

15,667689

Choctaw

4,023657

Cimarron

725687

Cleveland

82,098800

Coal

1,340879

Comanche

42,085768

Cotton

1,616675

Craig

5,481723

Creek

19,540877

Custer

13,153819

Delaware

9,296650

Dewey

1,9111,010

Ellis

1,220787

Garfield

24,414830

Garvin

9,767907

Grady

12,793790

Grant

1,357985

Greer

1,002609

Harmon

665653

Harper

995728

Haskell

3,393590

Hughes

2,949662

Jackson

9,592809

Jefferson

1,082633

Johnston

2,948689

Kay

17,789797

Kingfisher

7,385948

Kiowa

1,806676

Latimer

2,396792

LeFlore

12,287755

Lincoln

6,836773

Logan

7,658700

Love

5,905642

Major

2,480817

Marshall

4,574753

Mayes

12,819857

McClain

9,376748

McCurtain

10,836707

McIntosh

4,236675

Murray

5,784686

Muskogee

30,151828

Noble

4,779895

Nowata

1,843703

Okfuskee

2,532721

Oklahoma

463,7661,000

Okmulgee

9,194762

Osage

6,704732

Ottawa

12,348673

Pawnee

3,454740

Payne

33,060811

Pittsburg

16,124893

Pontotoc

18,920806

Pottawatomie

22,184710

Pushmataha

2,311657

Roger Mills

871798

Rogers

27,655879

Seminole

7,312752

Sequoyah

9,945630

Stephens

14,646863

Texas

9,686789

Tillman

1,707699

Tulsa

362,567964

Wagoner

9,520833

Washington

19,111941

Washita

2,043811

Woods

3,349846

Woodward

8,705953

Footnotes:
(1) Average weekly wages were calculated using unrounded data.
(2) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.

Note: Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs. Data are preliminary.

Table 3. Covered employment and wages by state, second quarter 2019
StateEmploymentAverage weekly wage (1)
June 2019 (thousands)Percent change, June 2018-19Average weekly wageNational ranking by levelPercent change, second quarter 2018-19National ranking by percent change

United States (2)

149,089.21.1$1,095--3.8--

Alabama

1,993.71.1911363.428

Alaska

338.90.71,078153.626

Arizona

2,843.32.61,010233.816

Arkansas

1,222.50.6862474.64

California

17,717.41.51,32544.73

Colorado

2,765.72.21,12894.92

Connecticut

1,690.8-0.81,26663.911

Delaware

458.00.81,057173.428

District of Columbia

780.40.51,77813.816

Florida

8,722.91.8968263.911

Georgia

4,507.11.71,016223.911

Hawaii

652.2-1.2992243.722

Idaho

765.12.6820503.333

Illinois

6,074.70.31,122102.447

Indiana

3,089.80.5910383.139

Iowa

1,584.70.1902402.545

Kansas

1,403.00.6905392.842

Kentucky

1,909.70.3911363.333

Louisiana

1,920.2-0.2923352.447

Maine

639.60.4874453.722

Maryland

2,733.60.71,17883.333

Massachusetts

3,690.10.91,37724.35

Michigan

4,419.70.11,018212.447

Minnesota

2,952.60.81,101132.644

Mississippi

1,135.90.4767512.051

Missouri

2,836.70.3948302.545

Montana

483.11.0843483.333

Nebraska

991.50.1889423.527

Nevada

1,408.82.6961293.238

New Hampshire

676.10.81,090144.010

New Jersey

4,182.50.71,23673.041

New Mexico

834.01.0888444.35

New York

9,682.81.01,34733.911

North Carolina

4,527.32.0970253.911

North Dakota

431.81.31,026204.17

Ohio

5,486.70.4965273.428

Oklahoma

1,618.50.5900413.139

Oregon

1,976.51.31,036183.816

Pennsylvania

5,972.10.81,070163.816

Rhode Island

494.50.71,034193.428

South Carolina

2,144.21.3867463.722

South Dakota

441.80.4838493.816

Tennessee

3,047.81.8964283.333

Texas

12,585.62.01,102123.816

Utah

1,526.13.0936324.17

Vermont

314.00.0929342.743

Virginia

3,981.61.01,113113.722

Washington

3,500.61.81,28855.91

West Virginia

700.4-0.6889422.447

Wisconsin

2,945.30.3940314.17

Wyoming

287.61.7932333.428

Puerto Rico

867.71.5531(3)-1.8(3)

Virgin Islands

37.010.0919(3)8.8(3)

Footnotes:
(1) Average weekly wages were calculated using unrounded data.
(2) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
(3) Data not included in the national ranking.

Note: Data are preliminary. Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs.


 

Last Modified Date: Monday, December 16, 2019