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03/14/2017
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03/14/2017
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1/21/2020 3:26:32 PM
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4/13/2017 2:01:08 PM
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Meetings
Meeting Type
BCC Regular Meeting
Document Type
Agenda Packet
Meeting Date
03/14/2017
Meeting Body
Board of County Commissioners
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How Does the Pay Gap Affect <br />Women of Different Demographics? <br />The pay gap affects women from all backgrounds, at all ages, and of all levels <br />of educational achievement, although earnings and the gap vary depending <br />on a woman's individual situation. <br />Race/ethnicity <br />Among full-time workers in 2015, Hispanic, American Indian and Alaska <br />Native, African American, and Native Hawaiian and other Pacific Islander <br />women had lower median annual earnings compared with non -Hispanic <br />white and Asian American women. But African American, Hispanic, <br />American Indian and Alaska Native, and Native Hawaiian and other Pacific <br />Islander women experienced a smaller gender pay gap compared with men <br />in the same racial/ethnic group than did non -Hispanic white and Asian <br />American women (Figure 3). <br />FIGURE 3 <br />Median Annual Earnings, by Race/Ethnicity and Gender, 2015 <br />$70,000 <br />$60,000 <br />$50,000 <br />540,000 <br />$30,000 <br />$20,000 <br />$10,000 <br />0 <br />532,493 $34,426 <br />542,026 <br />538,243 <br />560,897 <br />$39,510 <br />Hispanic <br />or Latina/o <br />African <br />American <br />White <br />(non -Hispanic) <br />Asian <br />Native Hawaiian American Indian <br />and Other and Alaska Native <br />Pacific Islander <br />• Women • Men XX% Women's earnings as a percentage of men's earnings <br />Source. U.S. Census Bureau, 2015 American Community Survey 1 -Year Estimates <br />10 (2VI 23 <br />In contrast, only 14 percent of public -sector employees reported that pay <br />discussions were either discouraged or prohibited. This higher degree of <br />transparency in the public sector may be related to the greater gender pay <br />equity found in the federal government (see Washington, D.C.'s gender <br />pay gap, Figure 2). Federal workers can easily see how their salaries <br />compare with others at their grade level and geographical location because <br />the U.S. Office of Personnel Management makes public the salary and <br />wage range for each level of federal worker and additional locality pay for <br />areas where the cost of living is higher (U.S. Office of Personnel Manage- <br />ment, 2016). A 2014 report found that, among white collar federal workers, <br />women were paid 87 percent of what men were paid in 2012, compared <br />with 77 percent in the workforce as a whole in 2012 (U.S. Office of Person- <br />nel Management, 2014). <br />Employers can also use audits to monitor and address gender pay dif- <br />ferences, to great effect. Minnesota requires public -sector employers to <br />conduct a pay equity study every few years and eliminate pay disparities <br />between female -dominated and male -dominated jobs that require compa- <br />rable levels of expertise (Minnesota Management and Budget). Employers <br />use a job evaluation tool to compare jobs on dimensions such as the com- <br />plexity of issues encountered, the depth and breadth of knowledge needed, <br />the nature of interpersonal contacts required, and the physical working <br />conditions. This allows employers to identify jobs—for example, delivery <br />van drivers and clerk typists—that, despite being different, require similar <br />levels of knowledge and responsibility. An analysis is then done to compare <br />wages of predominantly female jobs with those of predominantly male jobs <br />of comparable skill levels. If the results of the study show that women are <br />consistently paid less than men for jobs requiring similar levels of knowl- <br />edge and responsibility, the employer makes the necessary salary increases. <br />The state's efforts have been hugely successful: Since the 1970s, Minnesota <br />has virtually eliminated the pay gap in public -sector jobs of comparable <br />value (Legislative Office on the Economic Status of Women, 2016). <br />.72 <br />
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