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

Decreasing





Means of Transportation to Work by Race/Ethnicity, 2016-20

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 2016-20, white residents of Lancaster County report the highest levels of driving alone to work (83%), versus carpooling (11%), taking public transportation (1%) or using another form of transportation, including motorcycles, bicycles, taxis or walking (5%). In comparison, 80% of Asians and 73% of African Americans and Hispanics report driving alone to work. Each of these groups reports higher rates of alternate means of transportation compared to white residents.

In the City of Lancaster, 72% of white residents report driving along, while 10% report carpooling, 3% report taking public transportation, and 15% report other means, such as using motorcycles, bicycles, taxis or walking. By comparison, 57% of Asians, 61% of African Americans, and 64% of Hispanics report driving alone to work.

Surrounding counties report fairly similar statistics for the period. In Berks, 87% of whites, 81% of Asians, 72% of African Americans, and 68% of Hispanics report driving alone to work. In Chester, 88% of whites, 74% of Asians and African Americans, and 77% of Hispanics report driving alone to work. In Cumberland, 88% of whites, 79% of Asians, 73% of African Americans, and 80% of Hispanics report driving alone to work. In Dauphin, 87% of whites, 71% of Asians and African Americans, and 67% of Hispanics report driving alone to work. In Lebanon, 87% of whites, 63% of Asians, 56% of African Americans, and 77% of Hispanics report driving alone to work. In York, 89% of whites, 77% of Asians, 78% of African Americans, and 76% of Hispanics report driving alone to work.

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, 2016-20
CarpooledDrove AlonePublic transportationTaxicab, motorcycle, bicycle, walked, or other means
Pennsylvania8%84%3%5%
Lancaster County11%83%1%5%
Lancaster City10%72%3%*15%
Lancaster County Boroughs
Christiana borough12%**85%*0%***3%***
Columbia borough8%**84%4%***4%***
Denver township10%**87%0%***3%***
East Petersburg borough7%***90%2%***0%***
Elizabethtown borough8%**80%1%***11%*
Ephrata borough12%*86%0%***2%***
Lititz borough7%**83%1%***9%**
Manheim borough10%***82%1%***7%***
Marietta borough3%***92%1%***4%***
Millersville borough6%***83%3%***8%**
Mount Joy borough11%**88%0%***1%***
Mountville borough5%***92%3%***0%***
New Holland borough11%**86%0%***3%***
Quarryville borough10%**85%0%***4%***
Terre Hill borough9%***86%*0%***5%***
Strasburg borough7%***90%0%***3%***
Adamstown borough10%***90%0%***0%***
Akron borough7%**86%0%***6%***
Lancaster County Townships
Bart township27%**50%*0%***22%**
Brecknock township11%**81%0%***7%***
Caernarvon township18%**69%0%***13%***
Clay township11%***86%0%***3%***
Colerain township14%*73%*0%***13%***
Conestoga township4%***94%0%***1%***
Conoy township12%***86%1%***1%***
Drumore township15%**76%0%***8%***
Earl township24%**62%*0%***14%**
East Cocalico township12%*83%1%***4%***
East Donegal township11%***87%0%***2%***
East Drumore township13%***83%0%***4%***
East Earl township14%***74%0%***11%***
East Hempfield township6%**91%0%***2%***
West Cocalico township15%**84%0%***1%***
West Donegal township4%***91%0%***4%***
West Earl township15%**72%0%***13%**
West Hempfield township4%***94%1%***1%***
West Lampeter township3%***96%0%***1%***
East Lampeter township10%*83%0%***6%**
Eden township40%*44%*0%***15%***
Elizabeth township5%***92%0%***3%***
Ephrata township19%***75%0%***6%**
Fulton township19%**70%*1%***10%**
Lancaster township7%**89%1%***3%***
Leacock township28%*39%*0%***32%*
Little Britain township25%***71%0%***3%***
Manheim township8%*87%1%**3%*
Manor township8%**90%0%***2%***
Martic township15%**80%0%***5%***
Mount Joy township8%**91%0%***1%***
Paradise township33%*58%*0%***9%**
Penn township11%**88%1%***1%***
Pequea township4%**89%1%***6%***
Providence township16%*82%0%***2%***
Rapho township9%***89%1%***0%***
Sadsbury township26%**63%0%***11%**
Salisbury township30%*60%1%***9%*
Strasburg township9%***89%*1%***1%***
Upper Leacock township15%*78%0%***6%**
Warwick township8%*90%0%***2%***
Lebanon County8%87%0%***4%
York County8%89%1%*2%
Berks County8%87%1%4%
Chester County6%88%2%3%
Cumberland County7%88%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, 2016-20
CarpooledDrove AlonePublic transportationTaxicab, motorcycle, bicycle, walked, or other means
Pennsylvania380,3803,883,273145,833225,688
Lancaster County24,342184,2001,82912,219
Lancaster City1,71612,584594*2,559
Lancaster County Boroughs
Christiana borough45**329*0***13***
Columbia borough318**3,269163***149***
Denver township180**1,5510***55***
East Petersburg borough155***1,89544***0***
Elizabethtown borough423**4,32146***578*
Ephrata borough715*5,3035***140***
Lititz borough286**3,48225***380**
Manheim borough237***1,86416***165***
Marietta borough27***94411***46***
Millersville borough196***2,769102***252**
Mount Joy borough409**3,24713***24***
Mountville borough57***1,15541***0***
New Holland borough241**1,8630***54***
Quarryville borough109**9175***44***
Terre Hill borough56***513*0***31***
Strasburg borough104***1,3370***44***
Adamstown borough90***8010***0***
Akron borough148**1,7320***128***
Lancaster County Townships
Bart township322**593*0***263**
Brecknock township423**3,0060***277***
Caernarvon township315**1,2460***233***
Clay township364***2,8030***93***
Colerain township197*1,009*0***176***
Conestoga township83***1,8801***29***
Conoy township220***1,5219***23***
Drumore township145**7270***81***
Earl township679**1,733*0***387**
East Cocalico township637*4,22735***219***
East Donegal township457***3,6260***77***
East Drumore township192***1,2626***58***
East Earl township438***2,26215***325***
East Hempfield township608**8,76425***214***
West Cocalico township512**2,8550***45***
West Donegal township156***3,14714***151***
West Earl township529**2,60010***452**
West Hempfield township289***6,48263***83***
West Lampeter township217***6,22420***37***
East Lampeter township655*5,21311***383**
Eden township307*333*3***117***
Elizabeth township86***1,7420***64***
Ephrata township908***3,66210***315**
Fulton township194**709*13***103**
Lancaster township347**4,69077***180***
Leacock township671*926*0***765*
Little Britain township473***1,3240***59***
Manheim township1,344*13,762211**552*
Manor township773**8,21412***165***
Martic township336**1,7760***110***
Mount Joy township441**4,9530***67***
Paradise township785*1,386*4***222**
Penn township512**4,20830***57***
Pequea township111**2,32615***165***
Providence township503*2,5860***67***
Rapho township549***5,17777***28***
Sadsbury township317**7610***136**
Salisbury township1,344*2,73068***396*
Strasburg township145***1,481*17***16***
Upper Leacock township515*2,6057***217**
Warwick township731*7,83411***150***
Lebanon County4,56347,407245***2,236
York County15,072165,940960*4,107
Berks County11,876136,9031,2386,829
Chester County12,911175,9154,3106,885
Cumberland County7,05889,081600*4,493
Dauphin County6,80881,026902*4,517

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 3 Math Not Applicable
Student Performance on Grade 8 English Not Applicable
Student Performance on Grade 8 Math Not Applicable
Student Performance in Grade 11 English Not Applicable
Student Performance in Grade 11 Math Decreasing
Per-Student Spending Maintaining
Students Receiving Special Education Services Increasing
Rate of Foster Care Admissions Decreasing
Single-Parent Families by Race/Ethnicity Not Applicable
Disengaged Youth Maintaining
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 Increasing
Water Use Decreasing
Waterways Impaired by Pollution Not Applicable
Population by Age Not Applicable
Change in Population by Age and Gender Not Applicable
Population by Race/Ethnicity Not Applicable
People with Disabilities Maintaining
Foreign-Born Population Increasing
Language Diversity 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 Increasing
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 Decreasing
Working Poor Maintaining
Median Household Income by Household Type Not Applicable
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 Decreasing
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
Fatal Drug Overdoses Increasing
Cancer Incidence Decreasing
Households With Internet Access Not Applicable
High-Tech Jobs Increasing
STEM Graduates Increasing
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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