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News Release Information

14-408-KAN
Tuesday, March 11, 2014

Contacts Technical information: Media contact:
  • (816) 285-7000

Women’s Earnings in Colorado – 2012

In 2012, Colorado women who were full-time wage and salary workers had median weekly earnings of $750 or 78.3 percent of the $958 median weekly earnings for their male counterparts, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Stanley W. Suchman noted that the 2012 women’s to men’s earnings ratio in Colorado declined 1.3 percentage points from 2011. Nationwide, women earned $691 or 80.9 percent of the $854 median for men. (See table 1. Earnings in this report do not control for many factors that can be significant in explaining earnings differences.)

In Colorado, the ratio of women’s to men’s earnings recorded a low of 74.6 percent in 1997. The ratio rose above 80 percent in 2002 and remained there through 2007, but has dipped below that mark in four of the most recent five years. (See chart 1.)

Among the 50 states, median weekly earnings of women in full-time wage and salary positions in 2012 ranged from $566 in Montana to $868 in Connecticut. States with the highest wages for women were located along the Eastern Seaboard. In addition to Connecticut, women’s earnings in Maryland, Massachusetts, and New Jersey were also above $800 per week. (See table 1 and chart 2.)

Across the nation, median weekly earnings for men were lowest in Arkansas at $717 and highest in Connecticut at $1,127. Four of the five highest paying states for full-time male workers (Connecticut, Massachusetts, New Jersey, and Maryland) were located along the Eastern Seaboard. The sole exception was on the West Coast—Alaska. (See table 1.)  

The ratio of female-to-male earnings in 2012 varied across the nation, ranging from 65.5 percent in Wyoming to 86.8 percent in Arizona. (See table 1.) Two other states recorded ratios above 85.0 percent—California at 86.0 percent and Maryland at 85.2 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 sex 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 1045, Highlights of Women’s Earnings in 2012, issued in October 2013; copies are available on the Internet at www.bls.gov/cps/cpswom2012.pdf. Information in this release is also available to sensory impaired individuals. Voice phone: (202) 691-5200; Federal Relay Service: (800) 877-8339.


Technical Note

The estimates in this report were obtained from the Current Population Survey (CPS), which provides a wide range of information on the labor force, employment, and unemployment. This survey is conducted monthly for the Bureau of Labor Statistics by the U.S. Census Bureau, using a national sample of about 60,000 households, with coverage in all 50 states and the District of Columbia. The earnings data are collected from one-fourth of the CPS monthly sample.

Statistics based on the CPS data are subject to both sampling and nonsampling error. The differences among data for the states reflect, in part, variations in the occupation, industry, and age composition of each state’s labor force. In addition, sampling error for the state estimates is considerably larger than it is for the national data.

The principal definitions used in connection with the earnings series in this release are described below.

Usual weekly earnings. 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.)

Median weekly earnings. The median is the amount which divides a given earnings distribution into two equal groups, one having earnings above the median and the other having earnings below the median.

Wage and salary workers. Workers who receive wages, salaries, commissions, tips, payment in kind, or piece rates. The group includes employees in both the private and public sectors but, for the purposes of the earnings series, excludes all self-employed persons, regardless of whether or not their businesses are incorporated.

Full-time worker. Workers who usually work 35 hours or more per week at their sole or principal job.

Table 1. Median usual weekly earnings of full-time wage and salary workers by state and sex, 2012 annual averages
StateBoth sexesWomenMenWomen's earnings as a percent of men's
Number of workers (thousands)Median weekly earningsStandard error of medianNumber of workers (thousands)Median weekly earningsStandard error of medianNumber of workers (thousands)Median weekly earningsStandard error of median

United States

102,749768.02.045,462691.03.057,286854.04.080.9

Alabama

1,522724.014.0683.0620.015.0839.0812.027.076.4

Alaska

248.0888.016.0110.0757.014.0138.01,02527.073.9

Arizona

1,969732.09.0878.0670.014.01,090772.018.086.8

Arkansas

971.0651.015.0438.0603.010.0534.0717.021.084.1

California

11,570820.010.04,890754.09.06,680877.012.086.0

Colorado

1,714850.018.0725.0750.015.0989.0958.024.078.3

Connecticut

1,178988.022.0519.0868.029.0659.01,12740.077.0

Delaware

309.0807.020.0146.0737.020.0163.0888.036.083.0

District of Columbia

276.01,10237.0138.01,07243.0138.01,13138.094.8

Florida

6,299735.06.02,992676.09.03,307796.013.084.9

Georgia

3,287737.013.01,503640.017.01,784838.026.076.4

Hawaii

430.0753.014.0192.0689.016.0238.0839.035.082.1

Idaho

478.0706.013.0187.0614.011.0291.0785.015.078.2

Illinois

4,368809.011.01,958708.013.02,411895.016.079.1

Indiana

2,158716.014.0936.0632.016.01,221809.019.078.1

Iowa

1,096744.014.0491.0654.017.0605.0823.020.079.5

Kansas

988.0738.014.0428.0649.014.0560.0825.022.078.7

Kentucky

1,414663.012.0644.0596.013.0770.0733.018.081.3

Louisiana

1,449676.018.0637.0573.017.0812.0796.020.072.0

Maine

423.0741.013.0191.0654.025.0232.0823.025.079.5

Maryland

2,198921.020.01,056842.023.01,141988.027.085.2

Massachusetts

2,167935.012.0980.0840.019.01,1871,04028.080.8

Michigan

2,876783.014.01,237687.018.01,639889.020.077.3

Minnesota

1,897865.015.0816.0779.023.01,081948.024.082.2

Mississippi

922.0677.014.0413.0582.019.0509.0776.023.075.0

Missouri

2,013750.018.0913.0660.019.01,099841.030.078.5

Montana

293.0658.021.0137.0566.018.0156.0733.023.077.2

Nebraska

680.0728.014.0312.0663.017.0369.0787.021.084.2

Nevada

897.0690.011.0399.0620.010.0497.0768.019.080.7

New Hampshire

478.0883.021.0214.0772.024.0264.0975.029.079.2

New Jersey

3,142935.013.01,425818.026.01,7171,03025.079.4

New Mexico

614.0737.017.0274.0645.025.0340.0802.022.080.4

New York

6,513819.010.02,951746.09.03,562900.014.082.9

North Carolina

3,124727.010.01,392641.013.01,732792.013.080.9

North Dakota

266.0735.012.0116.0651.012.0149.0834.023.078.1

Ohio

3,662739.09.01,589664.010.02,073802.015.082.8

Oklahoma

1,299695.011.0570.0631.015.0729.0760.016.083.0

Oregon

1,144823.019.0480.0756.017.0664.0901.028.083.9

Pennsylvania

4,320774.08.01,898694.011.02,423849.013.081.7

Rhode Island

342.0796.021.0158.0733.023.0184.0886.042.082.7

South Carolina

1,462669.015.0677.0603.017.0785.0724.018.083.3

South Dakota

282.0664.010.0129.0604.09.0153.0737.016.082.0

Tennessee

2,125675.012.0922.0611.012.01,203740.015.082.6

Texas

8,904718.07.03,852633.09.05,051795.015.079.6

Utah

879.0760.014.0326.0661.018.0552.0870.025.076.0

Vermont

216.0767.016.096.0692.019.0120.0859.029.080.6

Virginia

2,974846.017.01,335756.021.01,640951.024.079.5

Washington

2,204870.021.0935.0746.020.01,269982.028.076.0

West Virginia

574.0740.014.0257.0614.014.0317.0846.028.072.6

Wisconsin

1,929783.016.0833.0696.025.01,095863.020.080.6

Wyoming

207.0808.017.081.0645.022.0126.0984.019.065.5

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.
 

 

Last Modified Date: Tuesday, March 11, 2014