Financial Stability
Veterans Living in Poverty

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Veterans Living in Poverty

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What does this measure?

The estimated proportion of veterans with incomes below the poverty line. Poverty thresholds vary by family composition and year. In 2020, the threshold for one person was $13,171.

Why is this important?

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

How is region performing?

In 2016-20, 4% of veterans, or about 2,000 individuals, had incomes below the poverty line. That was slightly lower than the rates at the statewide (excluding NYC) and national level, at 6% and 7%, respectively. Because of relatively small populations of veterans in poverty in the region, rates are not reliable at the county or local level.

Notes about the data

The multiyear figures are from the Census Bureau's American Community Survey. The bureau combined three 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.

Veterans Living in Poverty
2011-152016-20
Region6%4%
Columbia County5%**5%***
Dutchess County4%*3%**
Greene County7%*7%**
Orange County6%3%*
Putnam County5%**1%***
Sullivan County10%*5%**
Ulster County6%*6%*
NYS (excluding NYC)6%6%
U.S.7%7%
Columbia Cities
Hudson8%***30%***
Columbia Towns
Ancram4%***0%***
Austerlitz0%***0%***
Canaan0%***0%***
Chatham0%***3%***
Claverack9%***4%***
Clermont3%***5%***
Copake4%***13%***
Gallatin3%***0%***
Germantown9%***5%***
Ghent2%***0%***
Greenport9%***0%***
Hillsdale7%***6%***
Kinderhook2%***11%***
Livingston9%***3%***
New Lebanon14%***3%***
Stockport0%***0%***
Stuyvesant7%***3%***
Taghkanic0%***14%***
Columbia Villages
Chatham13%***3%***
Kinderhook3%***0%***
Philmont18%***18%***
Valatie8%***0%***
Dutchess Cities
Beacon10%***5%***
Poughkeepsie10%***5%***
Dutchess Towns
Amenia3%***19%***
Beekman5%***0%***
Clinton9%***1%***
Dover4%***0%***
East Fishkill2%***2%***
Fishkill7%***1%***
Hyde Park5%***2%***
La Grange0%***0%***
Milan2%***4%***
North East6%***0%***
Pawling4%***0%***
Pine Plains0%***4%***
Pleasant Valley2%***0%***
Poughkeepsie6%***7%***
Red Hook1%***1%***
Rhinebeck3%***3%***
Stanford1%***0%***
Union Vale0%***0%***
Wappinger2%***4%***
Washington1%***0%***
Dutchess Villages
Fishkill24%***0%***
Millbrook4%***0%***
Millerton0%***0%***
Pawling0%***0%***
Red Hook6%***0%***
Rhinebeck0%***6%***
Tivoli0%***0%***
Wappingers Falls0%***0%***
Greene Towns
Ashland7%***0%***
Athens16%***14%***
Cairo13%***4%***
Catskill4%***5%***
Coxsackie7%***21%***
Durham8%***0%***
Greenville0%***0%***
Halcott0%***0%***
Hunter0%***0%***
Jewett0%***0%***
Lexington10%***33%***
New Baltimore6%***9%***
Prattsville18%***0%***
Windham15%***3%***
Greene Villages
Athens10%***0%***
Catskill9%***0%***
Coxsackie10%***15%***
Hunter0%***0%***
Tannersville0%***0%***
Orange Cities
Middletown9%***4%***
Newburgh14%***5%***
Port Jervis8%***12%***
Orange Towns
Blooming Grove6%***1%***
Chester9%***0%***
Cornwall1%***1%***
Crawford6%***4%***
Deerpark3%***9%***
Goshen3%***1%***
Greenville0%***9%***
Hamptonburgh6%***3%***
Highlands0%***5%***
Minisink8%***0%***
Monroe4%***0%***
Montgomery9%***1%***
Mount Hope12%***7%***
New Windsor7%***2%***
Newburgh6%***2%***
Tuxedo0%***9%***
Wallkill3%***5%***
Warwick5%***2%***
Wawayanda6%***3%***
Woodbury9%***3%***
Orange Villages
Chester15%***0%***
Cornwall-on-Hudson0%***0%***
Florida3%***5%***
Goshen7%***3%***
Greenwood Lake0%***0%***
Harriman4%***0%***
Highland Falls0%***0%***
Kiryas Joel0%***0%***
Maybrook0%***0%***
Monroe8%***0%***
Montgomery3%***0%***
Otisville0%***3%***
South Blooming Grove0%***5%***
Tuxedo Park0%***0%***
Unionville14%***0%***
Walden0%***4%***
Warwick4%***0%***
Washingtonville17%***0%***
Woodbury9%***3%***
Putnam Towns
Carmel4%***2%***
Kent6%***2%***
Patterson6%***1%***
Philipstown6%***1%***
Putnam Valley8%***0%***
Southeast1%***1%***
Putnam Villages
Brewster0%***8%***
Cold Spring3%***0%***
Nelsonville21%***0%***
Sullivan Towns
Bethel4%***4%***
Callicoon0%***0%***
Cochecton8%***4%***
Delaware12%***8%***
Fallsburg9%***9%***
Forestburgh3%***5%***
Fremont16%***7%***
Highland0%***6%***
Liberty14%***8%***
Lumberland0%***0%***
Mamakating6%***3%***
Neversink5%***3%***
Rockland23%***0%***
Thompson17%***6%***
Tusten9%***8%***
Sullivan Villages
Bloomingburg9%***11%***
Jeffersonville0%***0%***
Liberty20%***0%***
Monticello29%***0%***
Woodridge24%***57%***
Wurtsboro9%***5%***
Ulster Cities
Kingston7%***13%***
Ulster Towns
Denning5%***0%***
Esopus7%***10%***
Gardiner6%***0%***
Hardenburgh0%***0%***
Hurley7%***3%***
Kingston10%***3%***
Lloyd1%***4%***
Marbletown4%***0%***
Marlborough15%***0%***
New Paltz7%***0%***
Olive7%***9%***
Plattekill2%***7%***
Rochester9%***2%***
Rosendale13%***0%***
Saugerties4%***4%***
Shandaken5%***4%***
Shawangunk5%***0%***
Ulster2%***5%***
Wawarsing9%***13%***
Woodstock4%***16%***
Ulster Villages
Ellenville4%***0%***
New Paltz8%***0%***
Saugerties3%***5%***

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 Veterans Living in Poverty
2011-152016-20
Region3,7752,029
Columbia County232**177***
Dutchess County707*429**
Greene County276*210**
Orange County1,181535*
Putnam County224**47***
Sullivan County526*199**
Ulster County629*432*
NYS (excluding NYC)37,45231,323
U.S.1,401,8371,182,775
Columbia Cities
Hudson19***31***
Columbia Towns
Ancram5***0***
Austerlitz0***0***
Canaan0***0***
Chatham0***4***
Claverack49***16***
Clermont4***8***
Copake7***27***
Gallatin7***0***
Germantown15***5***
Ghent10***0***
Greenport32***0***
Hillsdale6***5***
Kinderhook14***53***
Livingston26***8***
New Lebanon24***4***
Stockport0***0***
Stuyvesant14***5***
Taghkanic0***11***
Columbia Villages
Chatham10***4***
Kinderhook4***0***
Philmont16***16***
Valatie10***0***
Dutchess Cities
Beacon79***45***
Poughkeepsie125***56***
Dutchess Towns
Amenia9***55***
Beekman30***0***
Clinton29***3***
Dover18***0***
East Fishkill28***37***
Fishkill100***8***
Hyde Park70***16***
La Grange2***0***
Milan3***5***
North East11***0***
Pawling14***0***
Pine Plains0***8***
Pleasant Valley14***0***
Poughkeepsie114***140***
Red Hook8***5***
Rhinebeck14***8***
Stanford2***0***
Union Vale0***0***
Wappinger34***43***
Washington3***0***
Dutchess Villages
Fishkill28***0***
Millbrook3***0***
Millerton0***0***
Pawling0***0***
Red Hook8***0***
Rhinebeck0***8***
Tivoli0***0***
Wappingers Falls0***0***
Greene Towns
Ashland9***0***
Athens46***44***
Cairo59***21***
Catskill37***43***
Coxsackie35***46***
Durham19***0***
Greenville0***0***
Halcott0***0***
Hunter0***0***
Jewett0***0***
Lexington11***16***
New Baltimore16***36***
Prattsville9***0***
Windham35***4***
Greene Villages
Athens10***0***
Catskill24***1***
Coxsackie27***23***
Hunter0***0***
Tannersville0***0***
Orange Cities
Middletown102***50***
Newburgh111***33***
Port Jervis48***58***
Orange Towns
Blooming Grove59***6***
Chester56***0***
Cornwall13***13***
Crawford39***16***
Deerpark21***37***
Goshen22***10***
Greenville0***24***
Hamptonburgh24***9***
Highlands0***40***
Minisink23***0***
Monroe41***0***
Montgomery116***11***
Mount Hope35***27***
New Windsor132***25***
Newburgh110***43***
Tuxedo0***18***
Wallkill41***56***
Warwick110***34***
Wawayanda23***10***
Woodbury55***15***
Orange Villages
Chester35***0***
Cornwall-on-Hudson0***0***
Florida5***7***
Goshen22***9***
Greenwood Lake0***0***
Harriman5***0***
Highland Falls0***0***
Kiryas Joel0***0***
Maybrook0***0***
Monroe41***0***
Montgomery9***0***
Otisville0***2***
South Blooming Grove0***6***
Tuxedo Park0***0***
Unionville7***0***
Walden0***11***
Warwick31***0***
Washingtonville55***0***
Woodbury50***15***
Putnam Towns
Carmel61***23***
Kent47***10***
Patterson29***5***
Philipstown30***4***
Putnam Valley49***0***
Southeast8***5***
Putnam Villages
Brewster0***5***
Cold Spring3***0***
Nelsonville5***0***
Sullivan Towns
Bethel12***11***
Callicoon0***0***
Cochecton11***4***
Delaware32***18***
Fallsburg64***37***
Forestburgh3***3***
Fremont13***8***
Highland0***9***
Liberty70***26***
Lumberland0***0***
Mamakating53***20***
Neversink16***8***
Rockland108***0***
Thompson133***47***
Tusten11***8***
Sullivan Villages
Bloomingburg2***1***
Jeffersonville0***0***
Liberty44***0***
Monticello96***0***
Woodridge9***4***
Wurtsboro6***4***
Ulster Cities
Kingston70***109***
Ulster Towns
Denning2***0***
Esopus33***45***
Gardiner14***0***
Hardenburgh0***0***
Hurley39***9***
Kingston7***2***
Lloyd10***16***
Marbletown15***0***
Marlborough90***0***
New Paltz35***0***
Olive21***22***
Plattekill9***27***
Rochester43***11***
Rosendale47***0***
Saugerties51***38***
Shandaken9***13***
Shawangunk47***0***
Ulster17***33***
Wawarsing54***68***
Woodstock16***39***
Ulster Villages
Ellenville10***0***
New Paltz10***0***
Saugerties8***11***

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 | STATE
Children Living in Poverty Increasing
Children Living in Poverty, by Race/Ethnicity Not Applicable
Single-Parent Families Increasing
Single-Parent Families, by Race/Ethnicity Not Applicable
Rate of Child Abuse and Neglect Decreasing
Rate of Foster Care Admissions Decreasing
Teen Pregnancy Decreasing
Live Births to Teen Mothers Decreasing
Juvenile Delinquency Intakes Decreasing
Bullying at School Decreasing
Average Charitable Giving Increasing
Voter Registration Rate Increasing
Voter Participation Rate Increasing
Total Population Increasing
Population by Age Not Applicable
Population by Race/Ethnicity Not Applicable
Household Types Not Applicable
Change in Total Jobs Decreasing
Foreign-Born Population Increasing
Employment by Sector Not Applicable
Spending for County Government Increasing
Tourism Revenue Decreasing
Preschoolers Receiving Special Education Services Increasing
Prekindergarten Participation Increasing
Students Receiving Special Education Services Decreasing
Per-Student Spending Increasing
Student Performance on Grade 4 English, by Student Group Not Applicable
Student Performance on Grade 4 English, by Race/Ethnicity Not Applicable
Student Performance on Grade 4 Math, by Student Group Not Applicable
Student Performance on Grade 4 Math, by Race/Ethnicity Not Applicable
High School Cohort Graduation Rate Increasing
High School Cohort Dropout Rate Decreasing
High School GED Rate Maintaining
Plans of High School Graduates Not Applicable
Education Levels of Adults Not Applicable
Education Levels of Adults, by Race/Ethnicity Not Applicable
Median Household Income Maintaining
Median Household Income, by Race/Ethnicity Not Applicable
People Living in Poverty Increasing
People Living in Poverty, by Race/Ethnicity Not Applicable
Seniors Living in Poverty Maintaining
Children Receiving Subsidized Child Care Maintaining
Veterans Living in Poverty Decreasing
Economically Disadvantaged Students Increasing
Earned Income Tax Credit Participation Decreasing
Living Wage Rate by Household Type Not Applicable
Income in Relation to Poverty Level Not Applicable
People Without Health Insurance Decreasing
Early Prenatal Care, by Mother's Race/Ethnicity Not Applicable
Domestic Violence Decreasing
Deaths from Drug Overdoses Increasing
Babies with Low Birth Weights Maintaining
People Living wth HIV Increasing
Mental Health Clinic Visits Decreasing
Homeownership Rates Maintaining
Homeless Persons Decreasing
Housing Affordability for Homeowners Maintaining
Housing Affordability for Renters Not Applicable
Violent Crimes Decreasing


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