Financial Security
Means of Transportation to Work, by Race/Ethnicity

Decreasing





Means of Transportation to Work by Race/Ethnicity, 2017-21

What does this measure?

The type of transportation used on a daily basis by workers over the age of 16 who commute to work, expressed as a percentage of all workers who do not work at home, by race/ethnicity.

Why is this important?

Patterns of transportation usage impact environmental and transportation planning. These patterns may also reflect issues of poverty, location of employment, the availability and quality of public transit, local land use and environmental policies, or lifestyle choices of residents.

How does our county compare?

In 2017-21, white and Asian residents of Lancaster County report the highest levels of driving alone to work, 82% and 84% respectively. In comparison, 73% of African Americans, and 75% of Hispanics report driving alone to work. Both African Americans and Hispanic residents report higher rates of carpooling and public transportation compared to white and Asian residents.

In the City of Lancaster, 70% of white residents report driving along, while 11% report carpooling, 4% report taking public transportation, and 15% report other means, such as using motorcycles, bicycles, taxis or walking. By comparison, 64% of Asians, 60% of African Americans, and 67% of Hispanics report driving alone to work.

Surrounding counties report fairly similar statistics for the period, with the majority of all groups reporting that they drive alone to work and with higher percentages of African Americans and Hispanics carpooling or using public transportation than whites.

Why do these disparities exist?

Historic and current policies and systems, from racist housing policies to employment discrimination to education systems that fail to equitably serve all populations, have prevented people of color from fully participating in our economy, locking them out of economic opportunity. This can result in less ability to afford a private vehicle. In addition, people of color tend to live in urbanized areas at higher rates, where public transit systems are more available.

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. The survey provides data on characteristics of the population that used to be collected only during the decennial census. Data for this indicator are expected to be released annually in December.


Means of Transportation to Work by Race/Ethnicity, 2017-21
CarpooledDrove AlonePublic transportationTaxicab, motorcycle, bicycle, walked, or other means
Pennsylvania8%84%3%5%
Lancaster County11%82%1%6%
Lancaster City11%*70%4%*15%
Lancaster County Boroughs
Christiana borough9%***87%*0%***4%***
Columbia borough8%**83%5%***4%***
Denver township11%**84%0%***4%***
East Petersburg borough4%***95%1%***0%***
Elizabethtown borough8%**81%0%***10%*
Ephrata borough12%*85%0%***3%***
Lititz borough7%**83%0%***9%**
Manheim borough12%***81%1%***6%***
Marietta borough5%***88%1%***7%***
Millersville borough7%***83%1%***8%**
Mount Joy borough12%***84%0%***4%***
Mountville borough4%***95%1%***0%***
New Holland borough11%***87%0%***3%***
Quarryville borough7%***88%0%***4%***
Terre Hill borough9%***86%**0%***4%***
Strasburg borough9%***88%0%***3%***
Adamstown borough9%***90%0%***1%***
Akron borough6%**86%0%***8%**
Lancaster County Townships
Bart township27%**51%*0%***22%**
Brecknock township11%***81%0%***7%***
Caernarvon township23%**68%0%***9%***
Clay township13%**86%0%***1%***
Colerain township15%*75%0%***9%***
Conestoga township4%***92%0%***3%***
Conoy township12%***87%1%***1%***
Drumore township15%**73%*0%***11%***
Earl township30%**59%*0%***11%**
East Cocalico township14%*82%1%***4%***
East Donegal township12%***85%0%***3%***
East Drumore township12%***83%1%***4%***
East Earl township13%**76%1%***11%***
East Hempfield township7%**91%0%***2%***
West Cocalico township13%**86%0%***1%***
West Donegal township4%***90%0%***5%***
West Earl township14%**75%0%***11%***
West Hempfield township3%***95%1%***1%***
West Lampeter township4%***96%0%***1%***
East Lampeter township11%**84%1%***4%**
Eden township40%*45%0%***15%***
Elizabeth township4%***93%0%***3%***
Ephrata township19%***71%0%***10%**
Fulton township21%**69%*0%***10%***
Lancaster township6%**89%0%***4%***
Leacock township22%**40%*0%***38%*
Little Britain township36%***61%*0%***3%***
Manheim township10%*86%2%**3%**
Manor township8%*91%0%***2%***
Martic township15%*82%0%***3%***
Mount Joy township8%**92%0%***1%***
Paradise township30%*63%0%***6%***
Penn township10%**87%1%***2%***
Pequea township4%***88%1%***8%***
Providence township14%**83%0%***2%***
Rapho township8%***88%1%***2%***
Sadsbury township28%*63%0%***10%**
Salisbury township31%*55%2%***11%*
Strasburg township12%***86%*1%***1%***
Upper Leacock township16%**75%0%***9%*
Warwick township7%**91%0%***2%**
Lebanon County9%87%0%***4%
York County8%89%0%*2%
Berks County7%87%1%*4%
Chester County6%88%2%4%
Cumberland County6%89%1%*4%
Dauphin County7%87%1%*5%

Source: U.S. Census Bureau
Notes: Rate is percent of those who do not work at home. 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 Workers by Means of Transportation, by Race/Ethnicity, 2017-21
CarpooledDrove AlonePublic transportationTaxicab, motorcycle, bicycle, walked, or other means
Pennsylvania366,8453,792,264127,555220,514
Lancaster County24,364179,9871,76612,216
Lancaster City1,665*11,135635*2,421
Lancaster County Boroughs
Christiana borough34***316*0***15***
Columbia borough323**3,429200***170***
Denver township186**1,3890***71***
East Petersburg borough83***1,99516***0***
Elizabethtown borough446**4,28520***535*
Ephrata borough773*5,4146***183***
Lititz borough308**3,47719***389**
Manheim borough266***1,76616***131***
Marietta borough50***92210***71***
Millersville borough189***2,18122***220**
Mount Joy borough424***3,03517***146***
Mountville borough49***1,21612***0***
New Holland borough241***1,9860***63***
Quarryville borough76***9905***48***
Terre Hill borough44***403**0***20***
Strasburg borough121***1,2170***46***
Adamstown borough86***8200***5***
Akron borough120**1,7450***165**
Lancaster County Townships
Bart township300**565*0***245**
Brecknock township409***2,9330***259***
Caernarvon township381**1,1070***147***
Clay township401**2,6450***23***
Colerain township220*1,0946***132***
Conestoga township72***1,5711***57***
Conoy township198***1,44410***12***
Drumore township140**671*0***103***
Earl township839**1,662*0***324**
East Cocalico township669*4,03933***214***
East Donegal township500***3,6310***119***
East Drumore township191***1,2819***58***
East Earl township387**2,27015***326***
East Hempfield township635**8,81013***234***
West Cocalico township441**2,8850***20***
West Donegal township133***3,01715***179***
West Earl township484**2,61817***375***
West Hempfield township209***6,54164***64***
West Lampeter township235***6,3037***46***
East Lampeter township721**5,28042***274**
Eden township336*3750***126***
Elizabeth township78***1,6160***47***
Ephrata township922***3,3701***483**
Fulton township205**691*0***100***
Lancaster township317**4,80020***241***
Leacock township496**885*0***848*
Little Britain township620***1,051*0***44***
Manheim township1,652*14,152271**468**
Manor township735*8,80312***150***
Martic township341*1,8850***66***
Mount Joy township383**4,5970***43***
Paradise township676*1,4144***145***
Penn township488**4,06536***78***
Pequea township113***2,37615***210***
Providence township427**2,5170***73***
Rapho township472***4,92179***111***
Sadsbury township385*8670***132**
Salisbury township1,400*2,47986***512*
Strasburg township179***1,335*16***16***
Upper Leacock township486**2,2836***271*
Warwick township604**7,44710***142**
Lebanon County4,81546,733212***2,207
York County14,853163,754862*4,597
Berks County11,228132,4861,261*6,776
Chester County11,986169,1863,4846,789
Cumberland County6,45088,349514*4,466
Dauphin County6,53679,601754*4,281

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
Prekindergarten Participation Increasing
Student Performance on Grade 3 English Not Applicable
Student Performance on Grade 8 Math Not Applicable
High School Cohort Graduation Rate Increasing
Per-Student Spending Maintaining
Students Receiving Special Education Services Increasing
Rate of Foster Care Admissions Maintaining
Disengaged Youth Maintaining
Single-Parent Families by Race/Ethnicity Not Applicable
Plans of High School Graduates Not Applicable
Enrollment in Local Colleges Decreasing
College Graduation Rates Decreasing
Brain Drain/Gain Increasing
Education Levels of Adults by Race/Ethnicity Not Applicable
Average Charitable Giving Maintaining
Voter Registration Rate Not Applicable
Voter Participation Rate Increasing
Age of Housing Stock Not Applicable
Violent Crime Rate Maintaining
Incarceration Rate Decreasing
Incarceration Rate by Race/Ethnicity Not Applicable
Population Density Increasing
Air Quality Decreasing
Water Use Decreasing
Waterways Impaired by Pollution Not Applicable
Change in Population Increasing
Change in Population by Age and Gender Not Applicable
Population by Age Not Applicable
Population by Race/Ethnicity Not Applicable
People with Disabilities Decreasing
Foreign-Born Population Increasing
Language Diversity Increasing
Change in Total Jobs Increasing
Change in Employment by Sector Not Applicable
Sector Share of Total Jobs Not Applicable
Workers by Occupation Not Applicable
Change in Labor Force Decreasing
People Entering/Leaving County/Region for Work Not Applicable
Average Salary by Sector Not Applicable
Change in Average Salary Since 2000 Increasing
Female to Male Earnings Ratio Maintaining
Employer Size Not Applicable
Change in Number of Businesses by Sector Increasing
Change in Total Agricultural Sales Increasing
Spending for Local Government Maintaining
Spending for School Districts Maintaining
Children Living in Poverty Maintaining
Children in Poverty by Race/Ethnicity Not Applicable
People Living in Poverty Increasing
People Living in Poverty, by Race/Ethnicity Not Applicable
Veterans Living in Poverty Maintaining
Working Poor Maintaining
Median Household Income by Household Type Not Applicable
Median Household Income Maintaining
Median Household Income, by Race/Ethnicity Not Applicable
Living Wage Not Applicable
Unemployment Rate by Race/Ethnicity Not Applicable
Households Receiving SNAP by Race/Ethnicity Not Applicable
Household Receiving Temporary Assistance Increasing
Students Eligible for Free/Reduced Price Lunch Increasing
Median Home Value Maintaining
Occupied Housing Units Maintaining
Homeownership Rate, by Race/Ethnicity Not Applicable
Cost of Homeownership by Race/Ethnicity Not Applicable
Median Rent Maintaining
Cost of Renting Increasing
Households Without Vehicles Decreasing
Means of Transportation to Work, by Race/Ethnicity Not Applicable
People Without Health Insurance Increasing
Early Prenatal Care by Mother's Race/Ethnicity Not Applicable
Health Status Decreasing
Prevalence of Mental Illness Maintaining
Adults Who are Overweight or Obese Not Applicable
Mortality Rates Decreasing
Mortality Rate, by Race/Ethnicity Increasing
Fatal Drug Overdoses Increasing
Cancer Incidence Decreasing
Households With Internet Access Not Applicable
High-Tech Jobs Increasing
STEM Graduates Maintaining
Science and Engineering Research and Development Maintaining
Single-Parent Families by Race/Ethnicity Not Applicable
Education Levels of Adults by Race/Ethnicity Not Applicable
Incarceration Rate by Race/Ethnicity Not Applicable
Population by Race/Ethnicity Not Applicable
Children in Poverty by Race/Ethnicity Not Applicable
People Living in Poverty, by Race/Ethnicity Not Applicable
Median Household Income, by Race/Ethnicity Not Applicable
Unemployment Rate by Race/Ethnicity Not Applicable
Households Receiving SNAP by Race/Ethnicity Not Applicable
Homeownership Rate, by Race/Ethnicity Not Applicable
Cost of Homeownership by Race/Ethnicity Not Applicable
Early Prenatal Care by Mother's Race/Ethnicity Not Applicable


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