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News Release Information

15-23-DAL
Wednesday, January 14, 2015

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Technical information:
Media contact:
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Women’s Earnings in Texas – 2013

In 2013, Texas women who were full-time wage and salary workers had median weekly earnings of $629 or 78.6 percent of the $800 median weekly earnings of their male counterparts, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Stanley W. Suchman noted that the 2013 Texas women’s to men’s earnings ratio fell from 2012, down 1.0 percentage points. Nationwide, women earned $706 per week or 82.1 percent of the $860 median for men. (See table 1. Earnings in this report do not control for many factors that can be significant in explaining earnings differences.)

Although fluctuating during the period, the Texas ratio of women’s to men’s earnings generally trended upward from 1997 to 2010 when it reached a series high of 85.6 percent. However, the earnings ratio declined in each of the last three years, falling a total of 7.0 percentage points between 2010 and 2013, where it stands at its lowest level since 2001. (See chart 1. State data began in 1997.)

Among the 50 states, median weekly earnings of women in full-time wage and salary positions in 2013 ranged from $591 in Louisiana and Oklahoma to $900 in Massachusetts. States with the highest wages for women were located along the Eastern Seaboard. In addition to Massachusetts, women’s earnings in Connecticut, Maryland, and Virginia were above $800 per week. In the District of Columbia, women earned a median weekly wage of $1,100. (See table 1 and chart 2.)

Median weekly earnings for men were lowest in Arkansas at $705 and highest in Massachusetts at $1,109. Three other states (Connecticut, Alaska, and Maryland) had weekly wages above $1,000 for full-time male workers. In the District of Columbia, men earned a median weekly wage of $1,212. 

Vermont had the highest female-to-male earnings ratio among the states, 91.3 percent, and Wyoming had the lowest, 68.6 percent. The District of Columbia had a ratio of 90.8 percent. (See chart 3.) The differences among the states reflect, in part, variation in the occupations and industries found in each state and in the age composition of each state’s labor force. In addition, comparisons by gender are on a broad level and do not control for factors such as educational attainment which can be significant in explaining earnings differences.

For more information on the median weekly earnings of women and men, see Bureau of Labor Statistics Report 1051, Highlights of Women’s Earnings in 2013, available at www.bls.gov/opub/reports/cps/highlights-of-womens-earnings-in-2013.pdf


Technical Note

The estimates in this release were obtained from the Current Population Survey (CPS), which provides information on the labor force, employment, and unemployment. This survey is conducted monthly for the Bureau of Labor Statistics (BLS) by the U.S. Census Bureau, using a scientifically selected national sample of about 60,000 eligible households, representing all 50 states and the District of Columbia. The earnings data are collected from one-fourth of the CPS monthly sample and are limited to wage and salary workers. All self-employed workers, both incorporated and unincorporated, are excluded from the data presented in this report.

Statistics based on the CPS data are subject to both sampling and nonsampling error. The differences among data for the states reflect, in part, variation in the occupations and industries found in each state and diversity in the age composition of each state’s labor force. In general, the sampling error for the state estimates is considerably larger than it is for the national data; thus, comparisons of state estimates should be made with caution.

The principal concepts and definitions used in connection with the earnings data in this release are described briefly below.

Usual weekly earnings. The data represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders). Respondents are asked to identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice monthly, monthly, annually, or other) and how much they usually earn in the reported time period. Earnings reported on a basis other than weekly are converted to a weekly equivalent. The term “usual” is determined by each respondent’s own understanding of the term.

Median of usual weekly earnings. The earnings estimates shown in this release are medians. The median is the midpoint in a given earnings distribution, with half of workers having earnings above the median and the other half having earnings below the median. 

Wage and salary workers. These are workers age 16 and older who receive wages, salaries, commissions, tips, payments in kind, or piece rates on their sole or principal job. This group includes employees in both the public and private sectors. All self-employed workers are excluded whether or not their businesses are incorporated.

Full-time worker. People who usually work 35 hours or more per week at their sole or principal job are defined as working full time for the purpose of these estimates.

Information in this release will be available to sensory impaired individuals upon request: 202-691-5200; Federal Relay Service: 1-800-877-8339.

Table 1. Median usual weekly earnings of full-time wage and salary workers by state and sex, 2013 annual averages
StateBoth sexesWomenMenWomen’s
earnings as
percentage
of men’s
Number of
workers
(in thou-
sands)
Median
weekly
earnings
Standard
error of
median
Number of
workers
(in thou-
sands)
Median
weekly
earnings
Standard
error of
median
Number of
workers
(in thou-
sands)
Median
weekly
earnings
Standard
error of
median

United States

104,262$776$246,268$706$357,994$860$382.1

Alabama

1,55773313715633248438202677.2

Alaska

25588817112760151431,0273574.0

Arizona

1,97076413869702181,1018482682.8

Arkansas

91266014400607155127051986.1

California

11,76782195,007772106,7608641289.4

Colorado

1,77587518765762151,0099782977.9

Connecticut

1,20499519539894286651,1064480.8

Delaware

30879019142728201668844782.4

District of Columbia

2711,152221381,100551331,2126190.8

Florida

6,34774063,032679103,3158161483.2

Georgia

3,373742111,533677171,8408302381.6

Hawaii

44978318204727182458632884.2

Idaho

46970714180649192907411487.6

Illinois

4,293816131,945727132,3488911581.6

Indiana

2,14973312936650151,2128302878.3

Iowa

1,12475713509671186158612277.9

Kansas

98374313430653225548262679.1

Kentucky

1,37268215618610147547491581.4

Louisiana

1,42269212627591137948083273.1

Maine

42875114202684262268022685.3

Maryland

2,244942201,067870281,1771,0122886.0

Massachusetts

2,2611,001191,002900201,2581,1092881.2

Michigan

2,996811141,290720151,7068831781.5

Minnesota

1,94587817850790201,0969562782.6

Mississippi

86866018411593174577392380.2

Missouri

2,07574314948665171,1278523178.1

Montana

31368710141594161737782276.3

Nebraska

69773813311668173868011783.4

Nevada

95170211421649145297451687.1

New Hampshire

48988419215788322749562382.4

New Jersey

3,108905181,400789161,7089932079.5

New Mexico

57374620243646153308272278.1

New York

6,715839113,06175883,6549101283.3

North Carolina

3,164705121,428635121,7357681582.7

North Dakota

27379114118692121559032276.6

Ohio

3,69874491,662680112,0368221582.7

Oklahoma

1,29567712565591127307561878.2

Oregon

1,14378121494705156498732780.8

Pennsylvania

4,425782101,957701122,4688791479.7

Rhode Island

35685624165756191919542879.2

South Carolina

1,54570315719622148267851379.2

South Dakota

28967912132602131577541779.8

Tennessee

2,03368720886629161,1477451784.4

Texas

9,18472173,90462995,2808001478.6

Utah

97075411366642166048642274.3

Vermont

2167771599745191178162691.3

Virginia

2,988897181,357808211,6319712683.2

Washington

2,27888218945764241,3339633179.3

West Virginia

57274015253633253198472574.7

Wisconsin

1,95978415871697201,0888511981.9

Wyoming

2118472083671221289782068.6

Note: In general, the sampling error for the state estimates is considerably larger than it is for the national estimates; thus, comparisons of state estimates should be made with caution. Data shown are based on workers’ state of residence; workers’ reported earnings, however, may or may not be from a job located in the same state.
Source: U.S. Bureau of Labor Statistics.



 

Last Modified Date: Wednesday, January 14, 2015