Economic Security
Seniors Living in Poverty

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Source: U.S. Census Bureau

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What does this measure?

The estimated proportion of people 65 and older with incomes below the poverty line. In 2020, the threshold for a person 65 or older was $12,413.

Why is this important?

The percentage of seniors living in poverty is a measure of the overall economic health of the older population, and it can indicate the level of need for social and government supports among this population.

How is Westchester County performing?

In 2016-20, 8% of seniors in Westchester County had incomes below the poverty line, below the statewide rate of 12% and slightly below the national rate of 9%.

Westchester's rate was slightly higher than Rockland (7%) and Nassau (5%). Rates in all three counties changed little since 2000. Populations of seniors in poverty were too small in Putnam County and most municipalities to report reliable data, with the exception of Yonkers with a senior poverty rate of 12%.

Notes about the data

The multiyear 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.

Seniors Living in Poverty
20002006-102011-152016-20
Westchester County8%7%8%8%
Nassau County6%5%5%5%
Putnam County7%9%*4%*4%*
Rockland County8%9%7%7%
New York State11%11%11%12%
Mount Vernon14%13%*13%14%*
New Rochelle10%9%*11%11%*
Peekskill8%16%***10%**12%**
Rye City5%4%***5%**7%***
White Plains7%8%*8%*8%*
Yonkers10%11%12%12%
Westchester County Towns
Bedford3%3%***4%***6%***
Cortlandt5%4%**6%*5%*
Eastchester5%4%***4%**6%**
Greenburgh5%3%*6%*6%*
Harrison8%3%***7%**6%**
Lewisboro3%3%***1%***5%***
Mamaroneck7%3%***4%**7%***
Mount Kisco14%5%***5%***7%***
Mount Pleasant3%4%**6%**7%*
New Castle4%1%***1%***3%***
North Castle3%7%***2%***2%***
North Salem0%4%***0%***1%***
Ossining9%9%**12%*9%*
Pelham3%3%***2%***2%***
Pound Ridge3%1%***1%***1%***
Rye8%10%*9%*9%*
Scarsdale2%5%***3%***2%***
Somers2%3%***4%**7%**
Yorktown4%2%***4%**5%**
Westchester County Villages
Ardsley4%2%***2%***5%***
Briarcliff Manor5%9%***5%***9%***
Bronxville3%1%***3%***11%***
Buchanan2%0%***0%***7%***
Croton-on-Hudson1%6%***3%***6%***
Dobbs Ferry7%0%***4%***1%***
Elmsford12%2%***14%***8%***
Village of Harrison8%3%***7%**6%**
Hastings-on-Hudson2%3%***8%***6%***
Irvington1%5%***6%***6%***
Larchmont5%0%***5%***0%***
Village of Mamaroneck9%5%***5%***5%***
Village of Mount Kisco14%5%***5%***7%***
Village of Ossining8%7%***10%**7%**
Village of Pelham4%1%***1%***0%***
Pelham Manor3%4%***4%***4%***
Pleasantville3%4%***4%***9%***
Port Chester13%9%**12%**13%*
Rye Brook1%13%***6%***5%***
Village of Scarsdale2%5%***3%***2%***
Sleepy Hollow8%9%***14%***10%***
Tarrytown5%6%***4%***6%***
Tuckahoe9%12%***3%***10%***

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 Seniors Living in Poverty
20002006-102011-152016-20
Westchester County9,2609,22911,24813,520
Nassau County10,7579,33110,28812,942
Putnam County635991*557*757*
Rockland County2,4113,4692,9353,314
New York State264,336281,468313,143359,842
Mount Vernon1,1491,084*1,1011,618*
New Rochelle1,0251,053*1,2531,371*
Peekskill210359***358**433**
Rye City10181***131**160***
White Plains522681*727*886*
Yonkers2,8512,9873,4783,884
Westchester County Towns
Bedford6251***99***164***
Cortlandt221226**362*330*
Eastchester271220***239**402**
Greenburgh592440*897*917*
Harrison27587***275**222**
Lewisboro2433***20***106***
Mamaroneck287104***199**316***
Mount Kisco16787***68***112***
Mount Pleasant163216**355**488*
New Castle5723***12***68***
North Castle3990***30***35***
North Salem035***0***12***
Ossining362411**570*583*
Pelham4738***42***32***
Pound Ridge1611***13***9***
Rye508551*508*602*
Scarsdale48109***70***45***
Somers72125***189**375**
Yorktown191127***252**350**
Westchester County Villages
Ardsley2418***18***44***
Briarcliff Manor4699***64***141***
Bronxville238***27***112***
Buchanan50***1***25***
Croton-on-Hudson1066***25***71***
Dobbs Ferry1130***58***20***
Elmsford6111***64***38***
Village of Harrison27587***275**222**
Hastings-on-Hudson2233***100***87***
Irvington849***61***57***
Larchmont410***33***0***
Village of Mamaroneck248125***122***128***
Village of Mount Kisco16787***68***112***
Village of Ossining199163***254**266**
Village of Pelham277***9***3***
Pelham Manor2031***33***29***
Pleasantville3336***42***87***
Port Chester433288**356**510*
Rye Brook20221***122***82***
Village of Scarsdale48109***70***45***
Sleepy Hollow7787***222***158***
Tarrytown7292***71***115***
Tuckahoe7099***33***117***

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 1
Increasing
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 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
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 -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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