Children & Youth
Single Female-Headed Households

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Source: U.S. Census Bureau

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What does this measure?

The percentage of households headed by females living with one or more related family members.

Why is this important?

Female-headed households are more likely to be in poverty, especially if children are present. These differences can signal gender disparities in access to income or employment.

How is Westchester County performing?

In 2020-24, 12% of households were headed by females, one percentage point less than 2010-14. This was on par with the national rate and slightly below the statewide rate of 14%. Westchester County's rate was similar to Nassau and slightly higher than Rockland at 11% and Putnam at 10%. Mount Vernon had the highest rate of single female-headed households, at 23%.

Notes about the data

The multiyear figures are from the Census Bureau's American Community Survey. The bureau combined 5 years of responses to the survey to provide estimates for smaller geographic areas and increase the precision of its estimates. 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 3 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.

Single Female-Headed Households
2010-142015-192020-24
Westchester County13%12%12%
Nassau County12%11%12%
Putnam County10%9%10%
Rockland County11%10%11%
New York State15%14%14%
Mount Vernon24%22%23%
New Rochelle13%13%11%
Peekskill15%15%*16%*
White Plains11%12%10%
Yonkers18%17%18%
Rye City6%*5%*4%***
Westchester County Towns
Bedford11%*10%*9%**
Cortlandt11%10%9%*
Eastchester10%9%8%*
Greenburgh9%11%9%
Harrison9%*8%*11%*
Lewisboro6%**7%*6%**
Mamaroneck6%*8%*9%*
Mount Kisco13%*7%**12%**
Mount Pleasant9%10%8%*
New Castle4%**9%**7%**
North Castle8%*6%*8%*
North Salem5%***5%**4%***
Ossining12%10%13%*
Pelham13%*11%*11%*
Pound Ridge6%**5%***4%***
Rye14%12%14%
Scarsdale5%*4%**4%**
Somers7%*8%*7%*
Yorktown10%*8%*8%*
Westchester County Villages
Ardsley6%***8%**8%***
Briarcliff Manor8%**5%**4%***
Bronxville5%**8%**15%***
Buchanan13%*8%**10%***
Croton-on-Hudson12%*12%*5%***
Dobbs Ferry5%**13%*9%**
Elmsford16%*14%**21%**
Village of Harrison9%*8%*11%*
Hastings-on-Hudson3%***5%**5%***
Irvington8%***9%***9%***
Larchmont3%***6%***3%***
Village of Mamaroneck9%*11%*12%*
Village of Mount Kisco13%*7%**12%**
Village of Ossining15%13%*16%*
Village of Pelham12%**14%**11%***
Pelham Manor16%*8%***12%**
Pleasantville10%**5%***8%**
Port Chester19%14%*15%
Rye Brook8%**8%**13%**
Village of Scarsdale5%*4%**4%**
Sleepy Hollow12%*19%*14%**
Tarrytown9%**10%**10%*
Tuckahoe20%*7%***9%**

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%.




Number of Single Female-Headed Households
2010-142015-192020-24
Westchester County44,58843,42546,581
Nassau County52,94349,97453,259
Putnam County3,2533,1033,518
Rockland County10,39510,21411,456
New York State1,076,0391,030,8181,060,419
Mount Vernon6,2305,7286,510
New Rochelle3,6803,8393,330
Peekskill1,3991,452*1,684*
White Plains2,5322,6332,681
Yonkers13,36212,54314,731
Rye City323*256*249***
Westchester County Towns
Bedford601*599*465**
Cortlandt1,6681,4381,399*
Eastchester1,2361,104978*
Greenburgh3,0103,6433,224
Harrison741*701*999*
Lewisboro256**323*236**
Mamaroneck689*825*1,011*
Mount Kisco536*263**512**
Mount Pleasant1,2351,4891,209*
New Castle257**511**443**
North Castle315*256*322*
North Salem88***90**72***
Ossining1,4531,3991,762*
Pelham531*459*482*
Pound Ridge119**102***67***
Rye2,2311,7882,396
Scarsdale274*226**213**
Somers537*681*565*
Yorktown1,285*1,077*1,041*
Westchester County Villages
Ardsley91***128**123***
Briarcliff Manor209**149**114***
Bronxville104**177**338***
Buchanan114*61**86***
Croton-on-Hudson346*352*151***
Dobbs Ferry203**491*368**
Elmsford245*234**331**
Village of Harrison741*701*999*
Hastings-on-Hudson79***154**152***
Irvington198***205***220***
Larchmont61***128***74***
Village of Mamaroneck697*774*901*
Village of Mount Kisco536*263**512**
Village of Ossining1,1021,120*1,471*
Village of Pelham258**321**254***
Pelham Manor273*138***228**
Pleasantville259**119***214**
Port Chester1,7231,227*1,664
Rye Brook269**259**434**
Village of Scarsdale274*226**213**
Sleepy Hollow441*710*580**
Tarrytown401**442**556*
Tuckahoe543*195***267**

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%.








INDICATORS TREND | WESTCHESTER
Early Prenatal Care, by Mother's Race/Ethnicity 10 Not Applicable*
Infant Mortality Rate, by Race/Ethnicity 10 Not Applicable*
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
Increasing
Serious Crimes -1
Decreasing
Reported Victims of Domestic Violence 0
Maintaining
Arrest Rates, by Race/Ethnicity 10 Not Applicable*
Households without Vehicles -1
Decreasing
Means of Transportation to Work, by Race/Ethnicity 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*
Income in Relation to Poverty Level 10 Not Applicable*
Female to Male Earnings Ratio 0
Maintaining
Unemployment Rate, by Race/Ethnicity 10 Not Applicable*
People Living in Poverty -1
Decreasing
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
Increasing
Households Receiving SNAP, by Race/Ethnicity 10 Not Applicable*
Public Assistance 0
Maintaining
People Receiving Supplemental Security Income -1
Decreasing
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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