Economic Security
Female to Male Earnings Ratio

Using the charts: Items in the legend below the chart can be clicked on and off to aid in analysis. The chart can also be printed or exported as an image or document using the menu at the top right of the chart. See a Guide to the Westchester Index Website for more information.





Source: U.S. Census Bureau

What does this measure?

The ratio of female to male median earnings.

Why is this important?

Differences in the earning power of females and males contribute to higher poverty rates for female-headed households and to inequity for individuals and families in our community. Income is tied to a variety of life outcomes, including health and happiness.

How is Westchester County performing?

In 2016-20, females in Westchester County earned a median income of $35,700 compared to $54,600 for males, for a female to male earnings ratio of 0.65. In other words, for every dollar earned by a male in Westchester County, a female earned 65 cents. This ratio increased 10% from 59 cents in 2000. The ratio was lower than for the state (0.70) and on par with the nation (0.66).

Westchester County had the highest earnings ratio among comparison counties followed by Rockland (0.64), Nassau (0.62), and Putnam (0.61). Municipalities with high earnings ratios include Buchanan (0.88) and Croton-on-Hudson (0.85). Municipalities with lower ratios include Bedford (0.31) and Irvington (0.36).

Why do these disparities exist?

The pay gap between females and males has many contributing factors, ranging from pay discrimination to the types of occupations and roles that females and males participate in to gaps in working when females give birth and care for children. In studies that control for occupation, experience, title and location, the pay gap narrows to as little as 5% or less. However, scholars and activists argue that cultural bias, societal assumptions and workplace design continue to contribute the pay gap, including by narrowing the viable workplace choices for females. Increased flexibility in the wake of the coronavirus pandemic may increase options and equity in some sectors, especially office-based work, though other female-dominated occupations, such as servers and health aides, may experience little change.

Notes about the data

Multiyear figures are from the Census Bureau's American Community Survey (ACS). The bureau combined five years of responses to the survey to provide estimates for smaller geographic areas and increase the precision of its estimates. The survey provides data on characteristics of the population that used to be collected only during the decennial census. However, because the information came from a survey, the samples responding to the survey were not always large enough to produce reliable results, especially in small geographic areas. CGR has noted on data tables the estimates with relatively large margins of error. Estimates with three asterisks have the largest margins, plus or minus 50% or more of the estimate. Two asterisks mean plus or minus 35%-50%, and one asterisk means plus or minus 20%-35%. For all estimates, the confidence level is 90%, meaning there is 90% probability the true value (if the whole population were surveyed) would be within the margin of error (or confidence interval). The survey provides data on characteristics of the population that used to be collected only during the decennial census.

Female to Male Earnings Ratio
20002006-102011-152016-20
Westchester County0.590.630.660.65
Nassau County0.540.560.600.62
Putnam County0.560.580.640.61
Rockland County0.580.610.650.64
New York State0.600.640.680.70
Mount Vernon0.760.860.850.77
New Rochelle0.610.610.790.70
Peekskill0.720.940.780.81
Rye City0.480.350.290.41*
White Plains0.670.630.680.69
Yonkers0.630.700.720.75
Westchester County Towns
Bedford0.320.450.40*0.31
Cortlandt0.550.630.590.78
Eastchester0.520.590.630.60
Greenburgh0.610.580.680.69
Harrison0.470.400.430.38*
Lewisboro0.450.450.53*0.65
Mamaroneck0.440.490.430.51*
Mount Kisco0.800.86*0.90*0.75*
Mount Pleasant0.550.540.630.59
New Castle0.350.42*0.380.44*
North Castle0.360.520.320.41
North Salem0.420.56**0.44*0.47**
Ossining0.730.750.650.67
Pelham0.510.650.650.57
Pound Ridge0.390.22*0.52*0.34*
Rye0.690.750.750.74
Scarsdale0.360.29*0.29*0.26*
Somers0.530.520.500.55
Yorktown0.490.500.620.60
Westchester County Villages
Ardsley0.550.530.60*0.46**
Briarcliff Manor0.270.19**0.29*0.40
Bronxville0.320.360.38*0.36
Buchanan0.550.54*0.480.88
Croton-on-Hudson0.570.700.430.85
Dobbs Ferry0.630.590.62*0.77
Elmsford0.760.790.881.08*
Village of Harrison0.470.400.430.38*
Hastings-on-Hudson0.520.560.52*0.65
Irvington0.430.47*0.420.36
Larchmont0.390.430.430.45***
Village of Mamaroneck0.620.720.570.70
Village of Mount Kisco0.800.86*0.90*0.75*
Village of Ossining0.920.880.750.79
Village of Pelham0.600.69*0.780.56
Pelham Manor0.400.620.570.68*
Pleasantville0.660.700.81*0.72
Port Chester0.720.770.750.72
Rye Brook0.520.420.420.52*
Village of Scarsdale0.360.29*0.29*0.26*
Sleepy Hollow0.580.670.740.53
Tarrytown0.580.51***0.64*0.70
Tuckahoe0.690.68*0.68*0.76

Source: U.S. Census Bureau
Notes: Multiyear results are from rolling American Community Survey. * Margin of error between 20% & 35% of estimate; ** margin of error between 35% & 50%; *** margin of error greater than 50%.




Median Earnings for Females
20002006-102011-152016-20
Westchester County$37,383$35,701$33,621$35,686
Nassau County$34,643$33,770$33,161$37,155
Putnam County$38,840$34,509$34,594$33,040
Rockland County$36,058$32,166$29,751$32,196
New York State$26,869$26,526$26,544$29,627
Mount Vernon$33,148$33,439$29,188$31,288
New Rochelle$33,339$29,616$32,813$30,610
Peekskill$33,670$31,149$26,808$30,574
Rye City$56,244$44,359$35,512$48,925*
White Plains$37,910$36,469$33,524$36,917
Yonkers$30,113$30,357$28,893$30,511
Westchester County Towns
Bedford$33,524$37,952$33,928*$24,321
Cortlandt$40,680$39,180$35,052$41,410
Eastchester$47,746$49,036$45,748$46,912
Greenburgh$47,941$42,401$46,144$48,244
Harrison$36,728$27,131$23,333$25,086*
Lewisboro$55,071$50,278$44,643*$51,063
Mamaroneck$42,536$45,027$36,073$43,765*
Mount Kisco$38,382$34,658*$29,401*$32,829*
Mount Pleasant$36,398$34,757$33,859$36,481
New Castle$54,712$56,550*$49,508$54,707*
North Castle$42,384$44,404$35,096$44,286
North Salem$39,729$44,587**$35,640*$37,279**
Ossining$41,042$35,010$28,171$33,163
Pelham$48,105$57,268$50,628$51,301
Pound Ridge$57,622$42,193*$57,444*$44,048*
Rye$32,785$29,675$26,755$30,770
Scarsdale$55,994$57,308*$49,828*$54,684*
Somers$45,836$42,762$39,509$44,806
Yorktown$38,398$36,749$39,196$41,898
Westchester County Villages
Ardsley$52,359$39,777$49,625*$55,441**
Briarcliff Manor$40,847$24,227**$31,862*$43,085
Bronxville$49,457$62,073$53,741*$41,936
Buchanan$38,248$31,280*$33,930$33,625
Croton-on-Hudson$47,189$44,762$35,736$56,308
Dobbs Ferry$42,230$42,568$40,193*$48,545
Elmsford$41,929$39,121$33,777$36,184*
Village of Harrison$36,728$27,131$23,333$25,086*
Hastings-on-Hudson$49,361$43,365$44,243*$58,132
Irvington$47,490$52,009*$45,090$40,676
Larchmont$55,163$52,658$56,264$54,004***
Village of Mamaroneck$38,471$42,563$34,370$38,365
Village of Mount Kisco$38,382$34,658*$29,401*$32,829*
Village of Ossining$39,881$35,422$26,218$30,682
Village of Pelham$47,736$50,539*$46,004$42,077
Pelham Manor$48,562$61,753$55,763$70,519*
Pleasantville$49,743$49,885$45,542*$53,144
Port Chester$27,818$24,508$21,694$24,821
Rye Brook$47,389$39,380$35,061$41,821*
Village of Scarsdale$55,994$57,308*$49,828*$54,684*
Sleepy Hollow$28,458$28,851$23,164$26,218
Tarrytown$41,700$31,877***$40,622*$46,525
Tuckahoe$44,846$42,120*$39,523*$45,187

Source: U.S. Census Bureau
Notes: Figures in 2020 dollars. Multiyear results are from rolling American Community Survey. * Margin of error between 20% & 35% of estimate; ** margin of error between 35% & 50%; *** margin of error greater than 50%.








INDICATORS TREND | WESTCHESTER
Early Prenatal Care, by Mother's Race/Ethnicity 1
Increasing
Infant Mortality Rate, by Race/Ethnicity 10 Not Applicable*
Children with Elevated Blood Lead Levels 0
Maintaining
Children Receiving Subsidized Child Care -1
Decreasing
Children Living in Poverty, by Race/Ethnicity 1
Increasing
Disengaged Youth, Ages 16 to 19 -1
Decreasing
Single-Parent Families, by Race/Ethnicity 1
Increasing
Single Female-Headed Households 0
Maintaining
Contributions as a Percentage of Income 0
Maintaining
Voter Registration Rate 1
Increasing
Voter Participation Rate 1
Increasing
Serious Crimes -1
Decreasing
Victims of Domestic Violence -1
Decreasing
Arrest Rates, by Race/Ethnicity 10 Not Applicable*
Households With Internet Access, by Race/Ethnicity 10 Not Applicable*
Households without Vehicles -1
Decreasing
Means of Transportation to Work, by Race/Ethnicity -1
Decreasing
Air Quality 1
Increasing
Population Density 0
Maintaining
Water Quality of the Long Island Sound 1
Increasing
Open Space in Westchester County 1
Increasing
Change in Total Population 1
Increasing
Change in Population, by Race/Ethnicity 1
Increasing
Change in Population, by Age -1
Decreasing
People with Disabilities 1
Increasing
Language Diversity 1
Increasing
People 65 or Older Living Alone 1
Increasing
Change in Total Jobs -1
Decreasing
Change in Jobs by Sector 10 Not Applicable*
Business Ownership, by Race/Ethnicity 10 Not Applicable*
Average Salary by Sector 10 Not Applicable*
Median Household Income, by Race/Ethnicity 0
Maintaining
Female to Male Earnings Ratio 0
Maintaining
Unemployment Rate, by Race/Ethnicity 1
Increasing
People Living in Poverty -1
Decreasing
People Living in Poverty, by Race/Ethnicity 0
Maintaining
Seniors Living in Poverty 0
Maintaining
Seniors Living in Poverty, by Race/Ethnicity 1
Increasing
Food Insecurity -1
Decreasing
Households Receiving SNAP, by Race/Ethnicity 0
Maintaining
Public Assistance 0
Maintaining
People Receiving Supplemental Security Income 1
Increasing
Homeownership Rate, by Race/Ethnicity 1
Increasing
Cost of Homeownership, by Race/Ethnicity 10 Not Applicable*
Overall Housing Cost Burden -1
Decreasing
Cost of Rent, by Race/Ethnicity 10 Not Applicable*
Rent Burdened Households -1
Decreasing
Homelessness, by Race/Ethnicity 10 Not Applicable*
Homelessness, by Sex 10 Not Applicable*
Per-Student Spending 0
Maintaining
Student Suspensions -1
Decreasing
Student Performance on Grade 3 English, by Race/Ethnicity 1
Increasing
High School Cohort Graduation Rate, by Race/Ethnicity 1
Increasing
College Admission Rate, by Race/Ethnicity 1
Increasing
College Enrollment Rate, by Race/Ethnicity -1
Decreasing
Education Levels of Adults, by Race/Ethnicity 1
Increasing
People Without Health Insurance -1
Decreasing
Mortality Rate, by Race/Ethnicity 10 Not Applicable*
Mortality Rate from Chronic Lower Respiratory Disease, by Race/Ethnicity 10 Not Applicable*
Diabetes Mortality, by Race/Ethnicity 10 Not Applicable*
Suicide Rates, by Race/Ethnicity 10 Not Applicable*


Loading...