Economic Security
People Living in Poverty, by Race/Ethnicity

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Source: U.S. Census Bureau

What does this measure?

The proportion of people in various racial and ethnic groups with incomes below the poverty line. Poverty thresholds vary by family composition and year. . In 2024, the threshold for a four-person family with two children was $31,812.

Why is this important?

The percentage of people in poverty in various racial and ethnic groups is a measure of the overall economic health of these groups and may reflect disparities in access to economic opportunity. It also indicates the level of need for social and government supports.

How is Westchester County performing?

Poverty rates were highest in Westchester County in 2020-24 among African American and Hispanic populations, at 15% and 14%, respectively, compared to Asian residents and White populations, at 4% and 6%, respectively. Racial and ethnic disparities in poverty in Westchester were similar to the state and nation. Although Westchester's poverty levels were lower for all groups, rates for African Americans and Hispanics were about two to three times the level as for Whites and Asians.

Poverty rates in Westchester have modestly improved over time for most groups. From 2010-14 to 2020-24, the poverty rate among Hispanics declined 5 percentage points, followed by Asians (down 4 points) and African Americans (down 3) points. The rate among whites remained steady.

Among comparison counties, Westchester had the highest poverty rate among African Americans and the second-highest rate among Hispanics, behind Rockland at 19%. In Putnam County and in most municipalities within the county, the populations of African Americans and Hispanics were generally too small for reliable estimates of the poverty rate.

Why do these disparities exist?

These large and persistent disparities in poverty rates are the result of historic and current policies and practices that disadvantaged people of color. Research has connected slavery and the inability of black Americans (even after emancipation) to fully participate in economic life to the wealth and income gaps still present today. In addition, these differences are attributed to the complex interplay of conditions including gender, occupation, family structure, education, employment status, wages, incarceration, unemployment and discrimination. African American workers across industries tend to earn lower wages than their white and Asian American peers. While education, especially the absence of a high school diploma, increases the likelihood of poverty, education credentials do not eliminate racial disparities. African Americans experience unemployment at twice the rate of whites regardless of education level. Also, the disproportionate and systemic incarceration of Black and Latinx males decreases job prospects and increases the likelihood of poverty.

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.

People Living in Poverty by Race/Ethnicity, 2020-24
AsianBlack or African AmericanHispanic or LatinoWhite
Westchester County4%15%14%6%
Nassau County6%7%9%4%
Putnam County17%***13%**9%*6%
Rockland County5%**10%*19%18%
New York State14%21%20%10%
Mount Vernon11%***16%*16%**7%*
New Rochelle5%***10%*16%*7%*
Peekskill1%***10%***13%*13%*
Rye City12%***4%***6%***2%**
White Plains6%**18%*18%**6%*
Yonkers5%**16%17%10%
Westchester County Towns
Bedford1%***33%***10%***9%**
Cortlandt3%***7%***4%***6%*
Eastchester1%***15%***5%**5%*
Greenburgh2%***10%***6%*5%*
Harrison0%***31%***10%***3%**
Lewisboro0%***0%***6%***2%***
Mamaroneck1%***27%***16%***5%***
Mount Kisco6%***10%***15%***5%***
Mount Pleasant14%***14%***11%**5%*
New Castle0%***9%***3%***3%***
North Castle0%***0%***5%***4%***
North Salem0%***98%***0%***2%***
Ossining8%***30%**7%**8%*
Pelham6%***4%***5%***2%***
Pound Ridge5%***0%***9%***5%***
Rye10%***7%***15%*6%**
Scarsdale3%***0%***4%***3%***
Somers1%***4%***2%***4%**
Yorktown0%***7%***9%**3%***
Westchester County Villages
Ardsley0%***0%***0%***8%***
Briarcliff Manor19%***50%***23%***2%***
Bronxville0%***0%***1%***5%***
Buchanan0%***0%***6%***8%***
Croton-on-Hudson0%***9%***0%***4%***
Dobbs Ferry2%***1%***8%***5%**
Elmsford0%***6%***11%***9%***
Village of Harrison0%***31%***10%***3%**
Hastings-on-Hudson24%***8%***2%***1%***
Irvington0%***48%***2%***1%***
LarchmontN/A***0%***9%***1%***
Village of Mamaroneck3%***36%***15%***9%**
Village of Mount Kisco6%***10%***15%***5%***
Village of Ossining0%***30%**7%**9%**
Village of Pelham13%***6%***3%***2%***
Pelham Manor0%***0%***11%***2%***
Pleasantville0%***48%***3%***6%***
Port Chester31%***8%***16%*8%***
Rye Brook0%***5%***7%***6%***
Village of Scarsdale3%***0%***4%***3%***
Sleepy Hollow13%***4%***13%**4%***
Tarrytown3%***11%***5%***10%**
Tuckahoe1%***16%***13%***3%***

Source: U.S. Census Bureau
Notes: Data not shown where sample sizes were too small. 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 People Living in Poverty by Race/Ethnicity, 2020-24
AsianBlack or African AmericanHispanic or LatinoWhite
Westchester County2,69418,96237,03429,860
Nassau County9,33911,32922,01530,231
Putnam County378***377**1,780*4,173
Rockland County1,051**3,435*13,01037,392
New York State249,834581,589787,7121,084,057
Mount Vernon145***7,038*2,382**793*
New Rochelle215***1,519*3,766*2,470*
Peekskill7***360***1,549*1,244*
Rye City138***12***65***226**
White Plains341**1,438*3,383**1,745*
Yonkers580**5,35416,3066,862
Westchester County Towns
Bedford13***57***272***1,018**
Cortlandt35***216***314***1,708*
Eastchester53***126***177**1,205*
Greenburgh236***847***1,066*2,936*
Harrison2***188***411***516**
Lewisboro0***0***58***174***
Mamaroneck12***366***791***1,210***
Mount Kisco26***84***437***347***
Mount Pleasant308***132***988**1,459*
New Castle0***25***61***374***
North Castle0***2***90***350***
North Salem0***86***0***66***
Ossining156***702**1,062**1,442*
Pelham54***33***104***167***
Pound Ridge7***0***13***210***
Rye251***228***3,162*1,474**
Scarsdale108***0***30***324***
Somers7***14***46***670**
Yorktown0***135***501**870***
Westchester County Villages
Ardsley0***0***1***219***
Briarcliff Manor139***52***162***123***
Bronxville0***0***6***276***
Buchanan0***0***41***110***
Croton-on-Hudson0***12***0***244***
Dobbs Ferry24***1***100***375**
Elmsford0***37***318***139***
Village of Harrison2***188***411***516**
Hastings-on-Hudson55***9***12***91***
Irvington0***52***15***39***
Larchmont0***0***32***62***
Village of Mamaroneck32***346***785***1,037**
Village of Mount Kisco26***84***437***347***
Village of Ossining0***632**886**855**
Village of Pelham54***33***51***79***
Pelham Manor0***0***53***88***
Pleasantville0***14***30***365***
Port Chester219***221***2,953*810***
Rye Brook0***4***65***471***
Village of Scarsdale108***0***30***324***
Sleepy Hollow60***15***702**189***
Tarrytown21***62***127***713**
Tuckahoe14***48***135***140***

Source: U.S. Census Bureau
Notes: Data not shown where sample sizes were too small. 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.








People Living in Poverty by Race/Ethnicity, 2010-14
AsianBlack or African AmericanHispanic or LatinoWhite
Westchester County8%17%19%6%
Nassau County6%10%14%4%
Putnam County6%***11%***15%*5%
Rockland County5%**10%18%15%
New York State18%23%26%11%
Mount Vernon18%***17%22%*13%*
New Rochelle7%***13%*17%*8%
Peekskill6%***25%**18%**10%*
Rye City2%***14%***18%***3%**
White Plains3%***24%**15%*7%*
Yonkers14%*21%25%12%
Westchester County Towns
Bedford5%***18%***16%**5%**
Cortlandt2%***10%***9%**4%*
Eastchester4%***11%***12%***3%*
Greenburgh4%***8%**7%**4%
Harrison3%***17%***21%**6%*
Lewisboro3%***1%***1%***3%***
Mamaroneck6%***23%***12%***5%*
Mount Kisco13%***31%***21%*5%**
Mount Pleasant5%***35%***19%**5%*
New Castle2%***17%***4%***3%***
North Castle0%***13%***19%***2%***
North Salem0%***5%***15%***3%***
Ossining19%***11%***24%*8%*
Pelham5%***2%***9%***2%***
Pound Ridge23%***0%***0%***4%***
Rye11%***14%**19%*5%*
Scarsdale3%***27%***3%***2%***
Somers0%***2%***4%***2%*
Yorktown1%***13%***3%***1%*
Westchester County Villages
Ardsley0%***0%***3%***2%***
Briarcliff Manor3%***14%***6%***5%***
Bronxville19%***10%***0%***2%***
Buchanan75%***14%***8%***1%***
Croton-on-Hudson0%***2%***3%***4%***
Dobbs Ferry0%***34%***6%***3%***
Elmsford0%***14%***22%***7%***
Village of Harrison3%***17%***21%**6%*
Hastings-on-Hudson5%***3%***6%***4%**
Irvington2%***0%***0%***4%***
Larchmont4%***6%***0%***4%***
Village of Mamaroneck8%***22%***12%***6%**
Village of Mount Kisco13%***31%***21%*5%**
Village of Ossining37%***12%***26%*10%**
Village of Pelham6%***2%***11%***2%***
Pelham Manor0%***3%***0%***2%***
Pleasantville0%***18%***0%***2%***
Port Chester20%***14%**19%*8%**
Rye Brook8%***9%***24%***3%***
Village of Scarsdale3%***27%***3%***2%***
Sleepy Hollow1%***25%***26%**11%***
Tarrytown1%***3%***4%***5%***
Tuckahoe0%***6%***32%***7%***

Source: U.S. Census Bureau
Notes: Data not shown where sample sizes were too small. 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 People Living in Poverty by Race/Ethnicity, 2010-14
AsianBlack or African AmericanHispanic or LatinoWhite
Westchester County4,06422,36640,54238,087
Nassau County6,12815,31028,27141,520
Putnam County130***201***1,835*4,255
Rockland County907**3,7369,39032,677
New York State274,891692,260901,3471,401,545
Mount Vernon246***7,3162,232*2,092*
New Rochelle226***1,870*3,520*4,206
Peekskill52***1,436**1,554**949*
Rye City20***21***171***369**
White Plains111***1,570**2,870*2,369*
Yonkers1,885*6,87017,22812,958
Westchester County Towns
Bedford27***116***385**698**
Cortlandt32***285***560**1,183*
Eastchester83***170***275***785*
Greenburgh300***933**825**2,410
Harrison47***83***812**1,184*
Lewisboro10***3***4***302***
Mamaroneck92***230***423***1,160*
Mount Kisco58***174***954*317**
Mount Pleasant108***343***1,375**1,629*
New Castle23***39***37***437***
North Castle0***36***178***237***
North Salem0***3***57***155***
Ossining422***322***3,144*1,709*
Pelham28***24***95***222***
Pound Ridge75***0***0***190***
Rye135***317**3,652*1,516*
Scarsdale77***56***22***225***
Somers1***2***41***405*
Yorktown6***147***128***380*
Westchester County Villages
Ardsley2***0***15***79***
Briarcliff Manor28***14***19***272***
Bronxville62***1***1***96***
Buchanan30***15***28***17***
Croton-on-Hudson1***11***31***261***
Dobbs Ferry0***122***61***254***
Elmsford0***136***314***152***
Village of Harrison47***83***812**1,184*
Hastings-on-Hudson10***5***30***298**
Irvington9***0***0***237***
Larchmont7***7***1***202***
Village of Mamaroneck85***224***410***819**
Village of Mount Kisco58***174***954*317**
Village of Ossining394***298***3,065*1,083**
Village of Pelham28***17***94***118***
Pelham Manor0***7***1***104***
Pleasantville0***23***0***152***
Port Chester94***277**3,427*1,084**
Rye Brook41***18***225***223***
Village of Scarsdale77***56***22***225***
Sleepy Hollow4***131***1,209**679***
Tarrytown5***20***88***446***
Tuckahoe0***67***263***302***

Source: U.S. Census Bureau
Notes: Data not shown where sample sizes were too small. 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 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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