Children & Youth
Children Living in Poverty, by Race/Ethnicity

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Source: U.S. Census Bureau

What does this measure?

The number of children under 18 living below the federally defined poverty line, expressed as a percentage of all children under 18 and reported by various racial and ethnic groups. Poverty thresholds vary by family composition and year. In 2020, the threshold for a four-person family with two children was $26,246.

Why is this important?

Children raised in impoverished environments are at higher risk for a wide variety of health and social problems, including poor performance in school. The challenges they face in childhood can diminish their chances for successful adult lives.

How is Westchester County performing?

In 2016-20, 6% of both white and Asian children in Westchester County were living in poverty. In contrast, 16% of Hispanic children and 17% of African American children in were living in poverty.

Rates across all racial and ethnic groups in Westchester County were below the statewide and national rates. Among similar counties, rates of poverty among Hispanic children were highest in Rockland at 23%, followed by Westchester at 16%, Nassau at 13% and Putnam at 7%. Rates of poverty among African American children were highest in Rockland (18%), followed by Westchester (17%), Nassau (9%) and Putnam (7%).

Child poverty rates in Westchester County decreased among Hispanic and African American children (down 8 points and 7 points respectively) from 2000 through 2016-20, and increased by 1 point for Asian children. The rate among white children remained unchanged.

Why do these disparities exist?

As people of color have historically been and continue to be locked out of economic opportunity in many ways, poverty crosses generations, and child poverty rates are higher. Factors include: living in a single-parent household, especially if the single parent is female; having parent(s) who are unemployed, employed and/or underemployed in low-wage jobs or incarcerated; and living in communities that have experienced disinvestment and have ineffective and/or under-resourced schools.

Notes about the data

The multi-year figures are from the Census Bureau's American Community Survey. The bureau combined five 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 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. Poverty status is not reported for people in institutions, including college dormitories and military barracks, and people in living situations without conventional housing. Data for this indicator are expected to be released in the fourth quarter.

Children Living in Poverty by Race/Ethnicity, 2016-20
AsianBlack or African AmericanHispanicWhite
Westchester County6%*17%16%6%
Nassau County4%*9%13%4%
Putnam County16%***7%***7%***5%*
Rockland County2%***18%*23%29%
New York State16%28%27%14%
Mount Vernon7%***18%*27%**23%**
New Rochelle15%***22%*16%*8%**
Peekskill0%***19%***12%***2%***
Rye City0%***0%***0%***5%***
White Plains7%***10%***25%**5%***
Yonkers13%***18%*23%12%*
Westchester County Towns
Bedford0%***39%***7%***13%***
Cortlandt0%***3%***3%***6%**
Eastchester17%***0%***0%***1%***
Greenburgh1%***14%***5%***2%***
Harrison5%***37%***12%***5%***
Lewisboro0%***N/A***0%***6%***
Mamaroneck0%***0%***9%***4%***
Mount Kisco0%***100%***4%***3%***
Mount Pleasant0%***0%***7%***3%***
New Castle7%***0%***0%***5%***
North Castle4%***0%***0%***0%***
North Salem0%***27%***17%***8%***
Ossining2%***16%***14%**11%**
Pelham0%***11%***11%***3%***
Pound RidgeN/A***0%***0%***0%***
Rye4%***28%***9%**8%***
Scarsdale0%***0%***1%***1%***
Somers0%***0%***1%***0%***
Yorktown0%***8%***13%***3%***
Westchester County Villages
Ardsley0%***0%***0%***0%***
Briarcliff Manor9%***0%***0%***0%***
Bronxville18%***0%***0%***4%***
Buchanan0%***0%***0%***4%***
Croton-on-Hudson0%***0%***0%***3%***
Dobbs Ferry0%***0%***0%***1%***
Elmsford12%***29%***10%***0%***
Village of Harrison5%***37%***12%***5%***
Hastings-on-Hudson0%***0%***17%***3%***
Irvington0%***N/A***0%***7%***
Larchmont0%***N/A***0%***4%***
Village of Mamaroneck0%***0%***9%***6%***
Village of Mount Kisco0%***100%***4%***3%***
Village of Ossining0%***20%***16%**20%**
Village of Pelham0%***17%***18%***2%***
Pelham Manor0%***0%***0%***4%***
PleasantvilleN/A***N/A***0%***8%***
Port Chester0%***54%***10%**10%***
Rye Brook14%***0%***0%***10%***
Village of Scarsdale0%***0%***1%***1%***
Sleepy HollowN/A***0%***10%***4%***
Tarrytown0%***0%***0%***0%***
Tuckahoe37%***N/A***0%***0%***

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%. The Census Bureau asks people to identify their race (white, African-American, etc.) separate from their ethnicity (Hispanic or non-Hispanic). So the totals for these categories cannot be added together, as people show up in both a racial and ethnic group.




Number of Children Living in Poverty by Race/Ethnicity, 2016-20
AsianBlack or African AmericanHispanicWhite
Westchester County669*4,84910,3626,905
Nassau County1,265*2,9738,3536,971
Putnam County55***40***280***783*
Rockland County87***1,688*4,03019,156
New York State50,610182,762262,498312,792
Mount Vernon7***1,437*941**404**
New Rochelle121***713*968*653**
Peekskill0***276***365***27***
Rye City0***0***0***190***
White Plains40***92***997**243***
Yonkers268***1,565*5,1351,912*
Westchester County Towns
Bedford0***41***90***401***
Cortlandt0***21***80***347**
Eastchester123***0***0***63***
Greenburgh11***362***211***280***
Harrison34***49***89***253***
Lewisboro0***0***0***150***
Mamaroneck0***0***101***246***
Mount Kisco0***32***61***66***
Mount Pleasant0***0***147***198***
New Castle34***0***0***161***
North Castle7***0***0***11***
North Salem0***12***11***59***
Ossining8***46***439**413**
Pelham0***54***59***68***
Pound Ridge0***0***0***0***
Rye16***110***496**535***
Scarsdale0***0***6***44***
Somers0***0***5***0***
Yorktown0***39***161***181***
Westchester County Villages
Ardsley0***0***0***0***
Briarcliff Manor8***0***0***0***
Bronxville17***0***0***54***
Buchanan0***0***0***8***
Croton-on-Hudson0***0***0***43***
Dobbs Ferry0***0***0***12***
Elmsford11***76***58***0***
Village of Harrison34***49***89***253***
Hastings-on-Hudson0***0***42***40***
Irvington0***0***0***105***
Larchmont0***0***0***53***
Village of Mamaroneck0***0***124***184***
Village of Mount Kisco0***32***61***66***
Village of Ossining0***46***430**413**
Village of Pelham0***54***59***19***
Pelham Manor0***0***0***49***
Pleasantville0***0***0***114***
Port Chester0***110***473**317***
Rye Brook16***0***0***210***
Village of Scarsdale0***0***6***44***
Sleepy Hollow0***0***113***36***
Tarrytown0***0***0***0***
Tuckahoe44***0***0***0***

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%. The Census Bureau asks people to identify their race (white, African-American, etc.) separate from their ethnicity (Hispanic or non-Hispanic). So the totals for these categories cannot be added together, as people show up in both a racial and ethnic group.








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*


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