Children And Education
Education Levels of Adults by Race/Ethnicity

Increasing





Education Levels of Adults, by Race/Ethnicity, 2018-22

What does this measure?

The number of residents with a particular level of education in a region, expressed as a percentage of all residents 25 and older, broken down by race and ethnicity.

Why is this important?

An educated population makes a more attractive workforce and is better prepared to instruct the next generation of residents. High educational attainment represents a region's investment in human capital and preparation for long-term growth. There are persistent gaps in academic achievement among students of different races, ethnicities and incomes, and this is likely reflected in levels of educational attainment.

How does our county compare?

In 2018-22, the share of Lancaster County residents who held a bachelor's degree or higher was highest among Asians (40%), followed by Whites (31%), African Americans (21%), and Hispanics (18%). At the state level, a higher share of Asians (58%), and Whites (35%) had college degrees than in Lancaster, while rates among African Americans (21%), and Hispanic residents (20%) were similar. The share of people with a Bachelor's degree in the United States was also higher than Lancaster County among all groups.

In the City of Lancaster, a higher share of Whites (37%) had college degrees compared to Lancaster County as a whole, while a smaller share of Asians (33%), African Americans (16%) and Hispanics (12%) in the city had degrees.

Since 2008-12, the share of residents without a high school degree declined among all racial and ethnic groups in Lancaster County, ranging from a 9 percentage-point drop among Hispanics to a 4-point drop among Whites and Asians. All groups had increases in their share of residents who had attended some college or earned an associate's degree except for Asians which saw a 2 percentage point decrease.

Among neighboring counties in 2018-22, while racial and ethnic disparities persisted, several counties had higher shares of all groups with at least a bachelor's degree compared to Lancaster. For example, Chester had a higher percentage of African Americans (30%) with at least a bachelor's degree; and Cumberland (32%), Chester (28%) and Dauphin (21%) had higher percentages of Hispanics with at least a bachelors degree.

Why do these disparities exist?

There are a variety of factors believed to contribute to disparities in educational attainment. School systems in the United States are highly segregated, and students of color disproportionately attend schools with high proportions of low-income students who may not have benefited from early learning opportunities at the same rate as other students. Schools also have different levels of resources ranging from qualified/experienced teachers to advanced courses to facilities and technology, and schools with large Black and Latino populations often have lower levels. In addition, teachers across all school systems tend to be disproportionately white, and teaching practices and curriculum may not be culturally relevant to students of color. Low staff expectations at racially and economically segregated schools also contribute disparities in educational attainment. The accumulation of inequities leads to lower graduation rates and college matriculation, with college affordability acting as another barrier. When Black and Latino students enter higher education institutions, they are less likely to attain a college a degree given weaker academic preparation and financial hardship.

Notes about the data

Adults are people 25 and older. 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). The survey provides data on characteristics of the population that used to be collected only during the decennial census. Data for this indicator are released annually in December.


Education Levels of Adults, by Race/Ethnicity, 2018-22
AsianBlack or African AmericanHispanic or LatinoWhite
Pennsylvania13%31%23%24%
Lancaster County16%*29%23%22%
Lancaster City7%***29%23%23%
Lancaster County School Districts
School District of Lancaster8%***31%24%23%
Donegal School District18%***12%***18%***27%
Eastern Lancaster County School District20%***41%***19%***19%
Elizabethtown Area School District8%***16%***23%***25%
Ephrata Area School District40%***42%***29%**24%
Hempfield School District13%***23%***30%**22%
Lampeter-Strasburg School District15%***57%***30%***19%
Manheim Central School District13%***51%***38%***24%
Manheim Township School District21%**35%***19%**20%
Penn Manor School District21%***21%***19%***21%
Pequea Valley School District0%***17%***23%***14%
Solanco School District0%***0%***14%***18%
Warwick School District17%***15%***27%***23%
Cocalico School District26%***29%***29%***20%
Columbia Borough School District0%***27%***12%***20%
Conestoga Valley School District17%***32%***25%*21%
Lancaster County Boroughs
Christiana borough0%***14%***0%***24%*
Columbia borough0%***27%***12%***20%
Denver township49%***0%***32%***25%*
East Petersburg borough0%***44%***47%***31%*
Elizabethtown borough0%***17%***38%***27%*
Ephrata borough71%***28%***15%***24%
Lititz borough0%***76%***10%***27%
Manheim boroughN/A***100%***91%***21%*
Marietta borough0%***24%***22%***28%
Millersville borough15%***10%***6%***20%*
Mount Joy borough19%***11%***17%***29%
Mountville boroughN/A***0%***34%***16%*
New Holland borough20%***41%***25%***31%*
Quarryville borough0%***0%***0%***27%
Strasburg boroughN/A***100%***60%***17%*
Terre Hill borough0%***N/A***0%***20%**
Adamstown borough57%***38%***0%***20%*
Akron borough0%***33%***49%***30%
Lancaster County Townships
West Donegal townshipN/A***50%***43%***26%*
West Earl township22%***0%***47%***24%*
West Hempfield township4%***21%***16%***20%
West Lampeter township15%***55%***26%***20%
Bart township0%***N/A***0%***14%**
Brecknock township0%***N/A***0%***17%*
Caernarvon township14%***45%***N/A***14%*
Clay townshipN/A***N/A***48%***21%*
Colerain townshipN/A***N/A***N/A***20%*
Conestoga township22%***0%***0%***20%*
Conoy townshipN/A***N/A***0%***22%*
Drumore townshipN/A***0%***0%***18%*
Earl township25%***0%***0%***18%*
East Cocalico township0%***43%***26%***19%
East Donegal townshipN/A***9%***4%***26%
East Drumore township0%***0%***100%***24%*
East Earl township29%***46%***0%***15%*
East Hempfield township18%***20%***35%***22%
East Lampeter township0%***26%***26%**21%
Eden township0%***N/A***0%***11%*
Elizabeth township59%***N/A***N/A***16%*
Ephrata township54%***66%***33%***24%*
Fulton townshipN/A***0%***0%***23%*
Lancaster township9%***39%**28%**22%
Leacock townshipN/A***N/A***N/A***15%*
Little Britain townshipN/A***0%***9%***15%*
Manheim township21%**35%***20%**20%
Manor township23%***33%***21%***19%
Martic township0%***0%***N/A***23%*
Mount Joy township14%***0%***17%***23%*
Paradise township0%***34%***22%***15%*
Penn township31%***23%***0%***23%
Pequea township28%***41%***59%***29%*
Providence townshipN/A***0%***22%***16%*
Rapho township0%***0%***29%***26%
Sadsbury townshipN/A***0%***18%***20%*
Salisbury townshipN/A***9%***26%***13%*
Strasburg townshipN/A***N/A***N/A***15%**
Upper Leacock township35%***68%***5%***17%*
Warwick township10%***11%***39%***23%
West Cocalico townshipN/A***41%***38%***19%*
Lebanon County16%**33%*26%22%
York County23%*30%23%26%
Berks County18%*36%22%25%
Chester County6%*26%21%20%
Cumberland County14%*30%29%24%
Dauphin County17%28%28%26%

Source: U.S. Census Bureau
Notes: Adults are people 25 and older. 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 Adults, by Education Level and Race/Ethnicity, 2018-22
AsianBlack or African AmericanHispanic or LatinoWhite
Pennsylvania40,354277,225132,3941,768,755
Lancaster County1,379*3,9057,84970,401
Lancaster City65***1,6693,0004,799
Lancaster County School Districts
School District of Lancaster136***2,0333,7026,815
Donegal School District15***49***134***3,899
Eastern Lancaster County School District59***101***116***3,799
Elizabethtown Area School District16***66***193***5,316
Ephrata Area School District54***125***430**5,543
Hempfield School District178***235***808**7,296
Lampeter-Strasburg School District31***302***159***3,149
Manheim Central School District28***37***87***4,588
Manheim Township School District399**187***473**5,415
Penn Manor School District245***142***418***5,387
Pequea Valley School District0***35***106***1,679
Solanco School District0***0***67***3,627
Warwick School District60***40***176***5,000
Cocalico School District34***61***178***3,083
Columbia Borough School District0***141***172***1,305
Conestoga Valley School District124***349***611*4,006
Lancaster County Boroughs
Christiana borough0***2***0***148*
Columbia borough0***141***172***1,305
Denver township18***0***96***590*
East Petersburg borough0***77***164***905*
Elizabethtown borough0***64***88***1,808*
Ephrata borough10***42***106***2,110
Lititz borough0***13***25***1,714
Manheim borough0***30***49***687*
Marietta borough0***20***15***501
Millersville borough46***34***27***577*
Mount Joy borough15***18***81***1,534
Mountville borough0***0***35***364*
New Holland borough24***46***116***1,012*
Quarryville borough0***0***0***446
Strasburg borough0***33***38***385*
Terre Hill borough0***0***0***133**
Adamstown borough16***26***0***281*
Akron borough0***14***154***796
Lancaster County Townships
West Donegal township0***2***67***1,778*
West Earl township51***0***108***1,136*
West Hempfield township17***48***160***2,121
West Lampeter township31***256***121***2,297
Bart township0***0***0***231**
Brecknock township0***0***0***788*
Caernarvon township4***5***0***415*
Clay township0***0***70***928*
Colerain township0***0***0***450*
Conestoga township13***0***0***550*
Conoy township0***0***0***540*
Drumore township0***0***0***265*
Earl township15***0***0***781*
East Cocalico township0***10***43***1,329
East Donegal township0***11***5***1,414
East Drumore township0***0***42***622*
East Earl township16***50***0***670*
East Hempfield township161***110***449***3,906
East Lampeter township0***245***484**2,027
Eden township0***0***0***130*
Elizabeth township40***0***0***430*
Ephrata township44***69***100***1,709*
Fulton township0***0***0***390*
Lancaster township71***377**687**2,088
Leacock township0***0***0***428*
Little Britain township0***0***12***402*
Manheim township399**187***488**5,430
Manor township155***91***318***2,436
Martic township0***0***0***741*
Mount Joy township16***0***71***1,640*
Paradise township0***22***66***443*
Penn township28***7***0***1,677
Pequea township31***17***73***1,077*
Providence township0***0***13***691*
Rapho township0***0***38***2,224
Sadsbury township0***0***19***346*
Salisbury township0***13***40***808*
Strasburg township0***0***0***386**
Upper Leacock township73***104***19***843*
Warwick township20***27***151***2,856
West Cocalico township0***25***39***896*
Lebanon County231**660*2,76619,072
York County983*4,9614,55073,547
Berks County741*4,51211,24657,679
Chester County1,259*4,7374,46460,354
Cumberland County1,271*2,0111,90937,341
Dauphin County1,7698,9654,18936,477

Source: U.S. Census Bureau
Notes: Adults are people 25 and older. 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 Maintaining
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 Maintaining
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 Decreasing
Children in Poverty by Race/Ethnicity Not Applicable
People Living in Poverty Decreasing
People Living in Poverty, by Race/Ethnicity Not Applicable
Veterans Living in Poverty Maintaining
Working Poor Decreasing
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 Maintaining
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 Maintaining
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
Mortality Rate, by Race/Ethnicity Increasing
Fatal Drug Overdoses Increasing
Cancer Incidence Decreasing
Households With Internet Access Increasing
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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