EQUITY

Topic Measure
Effects on all
Women in the
Occupations
Analyzed
Goal A
Change Occupations to Maximize
Occupational Integration
Pre-
Move
Occupations
Post-
Move
Occupations
% Change
Goal B
Change Occupations to Maximize
Women’s Earnings
Pre-
Move
Occupations
Post-
Move
Occupations
%
Change
Average Job Zone (scale of 1-5) 2.8 2.8 0.4% 2.8 2.9 1.1%
Average Education Zone (scale
of 1-12)
3.9 3.9 -0.1% 3.9 4.0 2.1%
Average Earnings, All Workers 3 $39,836 $41,224 3.5% $39,836 $42,288 6.2%
Average Earnings, Women
Workers 3 $36,636 $37,587 2.5% $36,636 $38,544 5.0%
Average Women’s Earnings <
$25,000 3 27.6% 26.0% -5.7% 27.6% 26.1% -5.2%
Ratio of Female Earnings to
Male Earnings 3 0.840 0.840 0.0% 0.84 0.84 -0.5%
Gini Index of Earnings
Inequality
0.345 0.296 -16.6% 0.345 0.330 -4.4%
Women % of Fellow Workers 66.0% 61.6% -6.6% 66.0% 62.9% -4.6%
In a Female-dominated”
Occupation 4 39.7% 37.6% -5.1% 39.7% 36.9% -7.0%
In a “Male-dominated”
Occupation 4 5.7% 12.1% 112.6% 5.7% 9.2% 62.6%
Average Annual Employment
Growth Rate
0.65% 0.65% 0.0% 0.65% 0.68% 4.5%
In a “High Growth”
Occupation 5 10,176,829 9,333,256 -1.0% 10,176,829 10,349,321 0.2%
Occupational Prestige Score 42.5 42.8 0.5% 42.5 43.3 1.9%
Holds a Manager or Supervisor
Job Title
11.8% 11.3% -4.2% 11.8% 11.5% -2.4%
Notes: 1 Employment estimates based on average number of women working in an occupation between 2009-2013. 2 Distances
among the 473 occupations average .167 and range from .036 to .350.
3
Annual earnings for workers employed full-time full-year, based on 2013 CPS ASEC.
4
Male-dominated if more than 75% of workers are male; female-dominated if more than 75% of workers are female. 5 “High
growth” if annual projected growth rate 2014-2024 is > 1.5%
44 NARROWING THE WAGE GAP BY IMPROVING WOMEN’S ACCESS TO GOOD MIDDLE-SKILL JOBS