Community
Households without Vehicles

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Source: U.S. Census Bureau

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What does this measure?

The number of households which do not report having a vehicle kept at the home, available for use, expressed as a percentage of all households.

Why is this important?

A vehicle makes it easier for people to work and to conduct daily business such as doctor's visits and shopping. Ready access to transportation can also make it simpler to be involved in schools, religious organizations, and other forms of civic life. Vehicle access may be less critical in areas with robust public transportation.

How is Westchester County performing?

In 2018-22, over 52,100 (14%) of households in Westchester County did not have access to a vehicle. This was lower than the state rate of 29%, higher than the national rate of 8%, and higher than the counties of Rockland (10%), Nassau (7%) and Putnam (4%). Rates in Westchester, New York State, and across the country have remained fairly steady since 2008-12. Among municipalities, the rates of households without cars were highest in Mount Vernon (33%), and Yonkers and New Rochelle (both 24%).

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). Data for this indicator is expected to be released annually in December.

Households without Vehicles
2008-122013-172018-22
Westchester County14%14%14%
Nassau County7%7%7%
Putnam County4%5%4%
Rockland County10%11%10%
New York State29%29%29%
Mount Vernon27%28%33%
New Rochelle18%18%16%
Peekskill14%18%15%*
Rye City7%*8%*3%**
White Plains17%17%16%
Yonkers25%25%24%
Westchester County Towns
Bedford4%**3%***5%**
Cortlandt5%*5%*4%*
Eastchester9%10%9%*
Greenburgh8%7%7%
Harrison8%*6%**6%**
Lewisboro2%***2%***1%***
Mamaroneck10%*9%*10%**
Mount Kisco11%*14%*9%**
Mount Pleasant8%9%9%*
New Castle1%***1%***0%***
North Castle2%***1%***2%***
North Salem3%***2%***3%***
Ossining11%11%9%*
Pelham7%**10%*5%**
Pound Ridge1%***1%***4%***
Rye16%13%11%
Scarsdale2%***3%**1%***
Somers3%***2%***4%**
Yorktown8%*7%*5%*
Westchester County Villages
Ardsley8%**8%**8%***
Briarcliff Manor8%**7%**12%*
Bronxville10%*8%**13%**
Buchanan4%***4%***5%***
Croton-on-Hudson3%**3%**4%***
Dobbs Ferry9%**5%**6%***
Elmsford12%**6%***7%***
Village of Harrison8%*6%**6%**
Hastings-on-Hudson8%**9%*5%***
Irvington8%***5%***4%***
Larchmont7%***4%***7%***
Village of Mamaroneck13%*11%*13%**
Village of Mount Kisco11%*14%*9%**
Village of Ossining13%*14%10%*
Village of Pelham9%**13%*6%***
Pelham Manor4%***6%***4%***
Pleasantville3%***3%***7%***
Port Chester21%18%13%*
Rye Brook7%**8%***8%**
Village of Scarsdale2%***3%**1%***
Sleepy Hollow21%*26%*14%*
Tarrytown10%**11%**5%***
Tuckahoe13%**14%**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 Households without Vehicles
2008-122013-172018-22
Westchester County49,93449,67452,149
Nassau County32,71333,04929,807
Putnam County1,5391,7591,427
Rockland County10,25710,50610,128
New York State2,101,7842,117,3662,202,668
Mount Vernon6,9467,0399,582
New Rochelle4,9465,1814,675
Peekskill1,2611,7281,686*
Rye City364*454*193**
White Plains3,9083,6763,864
Yonkers18,66818,50219,646
Westchester County Towns
Bedford245**181***253**
Cortlandt770*797*605*
Eastchester1,2111,2281,145*
Greenburgh2,6502,2942,520
Harrison669*486**521**
Lewisboro68***83***61***
Mamaroneck1,047*935*1,137**
Mount Kisco443*563*362**
Mount Pleasant1,0781,3071,309*
New Castle52***73***17***
North Castle86***60***94***
North Salem49***36***46***
Ossining1,3941,3621,306*
Pelham279**399*202**
Pound Ridge17***29***68***
Rye2,5052,0331,808
Scarsdale85***179**60***
Somers199***162***326**
Yorktown994*887*663*
Westchester County Villages
Ardsley126**125**139***
Briarcliff Manor225**179**323*
Bronxville212*180**278**
Buchanan34***33***41***
Croton-on-Hudson101**103**118***
Dobbs Ferry337**192**239***
Elmsford195**97***125***
Village of Harrison669*486**521**
Hastings-on-Hudson227**265*152***
Irvington202***123***78***
Larchmont139***76***157***
Village of Mamaroneck960*765*904**
Village of Mount Kisco443*563*362**
Village of Ossining1,092*1,154967*
Village of Pelham204**292*129***
Pelham Manor75***107***73***
Pleasantville87***73***171***
Port Chester2,0161,6041,357*
Rye Brook237**273***261**
Village of Scarsdale85***179**60***
Sleepy Hollow720*968*552*
Tarrytown441**492**223***
Tuckahoe352**379**320**

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
Decreasing
Disengaged Youth, Ages 16 to 19 -1
Decreasing
Single-Parent Families, by Race/Ethnicity -1
Decreasing
Single Female-Headed Households -1
Decreasing
Voter Registration Rate 1
Increasing
Voter Participation Rate -1
Decreasing
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 0
Maintaining
Means of Transportation to Work, by Race/Ethnicity 1
Increasing
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
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 0
Maintaining
Female to Male Earnings Ratio 0
Maintaining
Income in Relation to Poverty Level 0
Maintaining
Unemployment Rate, by Race/Ethnicity -1
Decreasing
People Living in Poverty 0
Maintaining
People Living in Poverty, by Race/Ethnicity -1
Decreasing
Seniors Living in Poverty 1
Increasing
Seniors Living in Poverty, by Race/Ethnicity -1
Decreasing
Food Insecurity -1
Decreasing
Households Receiving SNAP, by Race/Ethnicity 1
Increasing
Public Assistance 0
Maintaining
People Receiving Supplemental Security Income 0
Maintaining
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 0
Maintaining
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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