Economic Security
Female to Male Earnings Ratio

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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 2018-22, females in Westchester County earned a median income of $42,000, compared to $63,300 for males, for a female to male earnings ratio of 0.66. In other words, for every dollar earned by a male in Westchester County, a female earned 66 cents. This ratio increased 1.5% from 65 cents in 2008-12. The ratio was lower than for the state (0.71) and on par with the nation (0.67).

Westchester County had the highest earnings ratio among comparison counties followed by Rockland (0.64), Nassau (0.63), and Putnam (0.60). Municipalities with high earnings ratios include Croton-on-Hudson (0.99) and Cortlandt (0.84). Municipalities with lower ratios include Bedford (0.33) and Harrison (0.39).

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
2008-122013-172018-22
Westchester County0.650.640.66
Nassau County0.590.610.63
Putnam County0.600.630.60
Rockland County0.650.670.64
New York State0.670.690.71
Mount Vernon0.820.890.81
New Rochelle0.690.750.74
Peekskill0.940.830.79
Rye City0.30*0.350.46*
White Plains0.660.680.66
Yonkers0.720.690.74
Westchester County Towns
Bedford0.56*0.360.33
Cortlandt0.610.610.84
Eastchester0.630.670.58
Greenburgh0.640.750.71
Harrison0.410.470.39
Lewisboro0.470.620.56
Mamaroneck0.500.51*0.64
Mount Kisco0.740.82*0.97*
Mount Pleasant0.620.560.58
New Castle0.37*0.41*0.45*
North Castle0.510.35*0.37*
North Salem0.52*0.43*0.62*
Ossining0.690.690.62
Pelham0.740.52*0.71*
Pound Ridge0.410.33*0.46*
Rye0.760.760.64
Scarsdale0.350.240.32*
Somers0.540.480.62
Yorktown0.500.620.65
Westchester County Villages
Ardsley0.54*0.78*0.58**
Briarcliff Manor0.24*0.370.41**
Bronxville0.420.40*0.48*
Buchanan0.560.540.71
Croton-on-Hudson0.600.550.99
Dobbs Ferry0.660.64*0.72*
Elmsford0.931.140.70*
Village of Harrison0.410.470.39
Hastings-on-Hudson0.560.580.74
Irvington0.390.460.45*
Larchmont0.43*0.48*0.35**
Village of Mamaroneck0.660.660.70*
Village of Mount Kisco0.740.82*0.97*
Village of Ossining0.810.780.68
Village of Pelham0.730.63*0.59*
Pelham Manor0.620.42**0.70
Pleasantville0.780.96*0.75*
Port Chester0.790.800.60
Rye Brook0.53*0.33*0.66*
Village of Scarsdale0.350.240.32*
Sleepy Hollow0.670.730.65*
Tarrytown0.710.880.71
Tuckahoe0.54*0.890.70

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
2008-122013-172018-22
Westchester County$38,867$37,834$41,971
Nassau County$37,980$38,071$42,729
Putnam County$39,088$38,480$37,531
Rockland County$36,543$35,012$35,881
New York State$30,043$30,756$34,088
Mount Vernon$34,060$34,447$38,308
New Rochelle$35,206$35,646$37,514
Peekskill$34,737$31,083$38,936
Rye City$41,232*$46,044$68,882*
White Plains$38,543$37,807$42,620
Yonkers$32,611$31,504$35,299
Westchester County Towns
Bedford$48,241*$32,324$34,493
Cortlandt$41,670$41,621$49,694
Eastchester$54,394$53,543$52,900
Greenburgh$51,036$55,463$56,192
Harrison$27,828$30,991$28,491
Lewisboro$51,425$59,906$57,875
Mamaroneck$48,219$44,514*$52,660
Mount Kisco$33,135$32,826*$45,409*
Mount Pleasant$40,852$35,406$42,245
New Castle$56,942*$61,084*$58,780*
North Castle$51,518$43,556*$42,061*
North Salem$46,510*$38,595*$55,875*
Ossining$34,890$33,576$35,766
Pelham$63,259$49,949*$73,352*
Pound Ridge$62,970$55,529*$61,250*
Rye$32,844$31,534$34,269
Scarsdale$66,254$57,299$76,635*
Somers$50,872$39,665$55,112
Yorktown$39,968$42,120$50,210
Westchester County Villages
Ardsley$49,016*$72,733*$70,781**
Briarcliff Manor$33,025*$46,265$47,103**
Bronxville$63,379$63,154*$58,393*
Buchanan$36,061$39,229$46,887
Croton-on-Hudson$51,060$48,717$71,334
Dobbs Ferry$51,946$50,582*$50,957*
Elmsford$50,725$37,476$38,558*
Village of Harrison$27,828$30,991$28,491
Hastings-on-Hudson$49,652$53,111$67,594
Irvington$49,192$50,534$57,583*
Larchmont$58,615*$71,449*$45,947**
Village of Mamaroneck$45,424$40,605$40,950*
Village of Mount Kisco$33,135$32,826*$45,409*
Village of Ossining$33,274$30,950$34,725
Village of Pelham$55,880$50,670*$48,047*
Pelham Manor$71,904$45,668**$92,108
Pleasantville$55,881$61,494*$68,434*
Port Chester$26,550$26,676$28,198
Rye Brook$47,430*$37,849*$59,712*
Village of Scarsdale$66,254$57,299$76,635*
Sleepy Hollow$28,666$26,317$35,924*
Tarrytown$45,091$62,144$50,865
Tuckahoe$44,961*$47,259$50,564

Source: U.S. Census Bureau
Notes: Figures in 2022 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 10 Not Applicable*
Infant Mortality Rate, by Race/Ethnicity 10 Not Applicable*
Children with Elevated Blood Lead Levels 0
Maintaining
Children Receiving Subsidized Child Care 0
Maintaining
Children Living in Poverty, by Race/Ethnicity 10 Not Applicable*
Disengaged Youth, Ages 16 to 19 -1
Decreasing
Single-Parent Families, by Race/Ethnicity 10 Not Applicable*
Single Female-Headed Households -1
Decreasing
Voter Registration Rate 1
Increasing
Voter Participation Rate -1
Decreasing
Serious Crimes -1
Decreasing
Reported 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 0
Maintaining
Means of Transportation to Work, by Race/Ethnicity 10 Not Applicable*
Air Quality 1
Increasing
Population Density 0
Maintaining
Water Quality of the Long Island Sound 10 Not Applicable*
Open Space in Westchester County 10 Not Applicable*
Change in Total Population 1
Increasing
Change in Population, by Race/Ethnicity 10 Not Applicable*
Change in Population, by Age 10 Not Applicable*
People with Disabilities 1
Increasing
Language Diversity 1
Increasing
People 65 or Older Living Alone -1
Decreasing
Foreign-Born Population 1
Increasing
Change in Total Jobs 1
Increasing
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 10 Not Applicable*
Female to Male Earnings Ratio 0
Maintaining
Income in Relation to Poverty Level 10 Not Applicable*
Unemployment Rate, by Race/Ethnicity 10 Not Applicable*
People Living in Poverty 0
Maintaining
People Living in Poverty, by Race/Ethnicity 10 Not Applicable*
Seniors Living in Poverty 1
Increasing
Seniors Living in Poverty, by Race/Ethnicity 10 Not Applicable*
Food Insecurity -1
Decreasing
Households Receiving SNAP, by Race/Ethnicity 10 Not Applicable*
Public Assistance 0
Maintaining
People Receiving Supplemental Security Income 0
Maintaining
Homeownership Rate, by Race/Ethnicity 10 Not Applicable*
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 10 Not Applicable*
High School Cohort Graduation Rate, by Race/Ethnicity 10 Not Applicable*
College Admission Rate, by Race/Ethnicity 10 Not Applicable*
College Enrollment Rate, by Race/Ethnicity 10 Not Applicable*
Education Levels of Adults, by Race/Ethnicity 10 Not Applicable*
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*


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