Financial Security
Homeownership Rate, by Race/Ethnicity

Decreasing


Homeownership Rate, by Race/Ethnicity, 2019-23

What does this measure?

The number of owner-occupied units (not rented) as a percent of all occupied units (not vacant) for various racial and ethnic groups.

Why is this important?

Historically, members of some racial and ethnic groups have suffered discrimination in buying homes and accessing home mortgages. A home is a vital financial asset for a family and an investment in both the local neighborhood and surrounding community.

How does our county compare?

In 2019-23, homeownership rates in Lancaster County were highest among white residents, at 74%, and Asian residents at 67%, compared to Hispanic residents at 44%, and African American residents at 39%. This racial/ethnic disparity follows a similar pattern to state and national rates, but is more pronounced in Lancaster, with ownership by African Americans and Hispanics about 5 and 7 percentage points, respectively, below national levels.

Since 2009-13, rates of homeownership declined by 8 percentage points for Asians, while rates for African Americans and Hispanics have increased by 8 and 11 points, respectively. Rates among Whites have held relatively steady.

In the City of Lancaster, homeownership levels among Hispanics (42%) is similar to the county rate while homeownership is lower among Whites (54%) compared to the county.

Lancaster's home ownership rates among Hispanic and African Americans are in the middle of comparison counties. Lancaster's Hispanic rate of homeownership is below Chester, Cumberland and York, similar to Berks, and higher than Lebanon and Dauphin. Home ownership among African Americans in Lancaster County is lower than in Berks, Chester and York counties, on par with Dauphin, and above Cumberland and Lebanon.

Why do these disparities exist?

A variety of research has shown how disparities in homeownership are connected to racial inequities within systems beyond housing, including financial services, labor market and intergenerational wealth. Historic practices including redlining, exclusionary mortgage practices and restrictive covenants barring property from being owned by members of specific groups directly locked people out of homeownership. These had intergenerational effects when people of color were unable to benefit from wealth transfers of home equity as white homebuyers can. Since Black and Latino households generally have lower wages and wealth accumulation, they have less resources for down payments and higher debt to income ratios. With lower credit scores than other racial/ethnic groups, communities of color may be less likely to qualify for mortgages as underwriting standards increase. Many in the Black and Latino community may lack information about the home buying process and choose to stay renters. Discrimination during the home buying process also influences whether people of color buy a house. Researchers have found that during the search process, people of color were shown fewer houses and provided less information than whites.

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. 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.

Homeownership Rate, by Race/Ethnicity, 2019-23
AsianBlack or African AmericanHispanic or LatinoWhite
Pennsylvania62%44%47%75%
Lancaster County67%39%44%74%
Lancaster City48%**34%*42%54%
Lancaster County School Districts
School District of Lancaster53%*39%*45%60%
Cocalico School District100%***50%***96%***84%
Columbia Borough School DistrictN/A***48%***17%***62%
Conestoga Valley School District62%**30%**41%**71%
Donegal School District100%***44%***30%***70%
Eastern Lancaster County School District64%***35%***50%***76%
Elizabethtown Area School District76%***40%***60%***68%
Ephrata Area School District100%***0%***29%***67%
Hempfield School District61%*43%***46%**83%
Lampeter-Strasburg School District19%***77%***37%***73%
Manheim Central School District73%***100%***91%***79%
Manheim Township School District80%*31%***48%*72%
Penn Manor School District81%**53%***51%**78%
Pequea Valley School DistrictN/A***10%***39%***73%
Solanco School District84%***25%***52%***80%
Warwick School District72%***47%***44%***76%
Lancaster County Boroughs
Adamstown boroughN/A***24%***0%***85%
Akron borough100%***0%***48%***61%
Christiana boroughN/A***0%***0%***62%*
Columbia boroughN/A***48%***17%***62%
Denver township100%***100%***95%***69%
East Petersburg borough100%***N/A***100%***89%
Elizabethtown borough45%***49%***35%***56%
Ephrata borough100%***0%***24%***58%
Lititz borough100%***43%***48%***66%
Manheim borough0%***N/A***100%***78%
Marietta borough100%***24%***26%***62%
Millersville borough0%***0%***42%***58%*
Mount Joy boroughN/A***41%***22%***64%
Mountville boroughN/A***100%***100%***82%
New Holland borough39%***56%***41%***74%
Quarryville borough100%***0%***24%***61%
Strasburg boroughN/A***N/A***N/A***77%
Terre Hill boroughN/A***N/A***75%***57%*
Lancaster County Townships
Bart township0%***N/A***N/A***67%
Brecknock townshipN/A***N/A***N/A***81%
Caernarvon township100%***N/A***100%***85%
Clay townshipN/A***N/A***24%***79%
Colerain townshipN/A***N/A***N/A***82%
Conestoga township100%***100%***0%***95%
Conoy townshipN/A***N/A***100%***91%
Drumore townshipN/A***N/A***100%***71%
Earl township100%***100%***100%***66%
East Cocalico township100%***0%***100%***84%
East Donegal township100%***51%***45%***80%
East Drumore township100%***0%***0%***73%
East Earl township100%***0%***34%***78%
East Hempfield township53%**35%***39%***78%
East Lampeter township79%***38%**43%**71%
Eden township100%***N/A***N/A***84%
Elizabeth townshipN/A***N/A***N/A***86%
Ephrata township100%***0%***37%***75%
Fulton townshipN/A***0%***0%***81%*
Lancaster township60%***58%***61%*74%
Leacock townshipN/A***0%***N/A***63%
Little Britain townshipN/A***N/A***45%***93%
Manheim township80%*31%***48%*72%
Manor township97%***55%***54%**79%
Martic township0%***N/A***N/A***96%
Mount Joy township80%***40%***58%***75%
Paradise townshipN/A***18%***59%***74%
Penn township100%***100%***100%***77%
Pequea township100%***100%***54%***70%
Providence townshipN/A***100%***100%***90%
Rapho township100%***100%***63%***82%
Sadsbury townshipN/A***100%***29%***71%
Salisbury townshipN/A***0%***17%***77%
Strasburg townshipN/A***N/A***N/A***90%
Upper Leacock township29%***0%***20%***61%
Warwick township61%***49%***43%***79%
West Cocalico township100%***100%***100%***93%
West Donegal township100%***N/A***100%***65%
West Earl township100%***100%***79%***83%
West Hempfield township81%***46%***34%***90%
West Lampeter township19%***77%***37%***67%
Berks County66%46%43%78%
Chester County68%45%52%79%
Cumberland County62%27%*48%74%
Dauphin County62%38%32%72%
Lebanon County83%26%*42%75%
York County67%45%46%80%

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.




Number of Homeowners by Race/Ethnicity, 2019-23
AsianBlack or African AmericanHispanic or LatinoWhite
Pennsylvania101,256235,952150,7843,106,804
Lancaster County2,7192,7758,300133,613
Lancaster City226**925*3,2686,510
Lancaster County School Districts
School District of Lancaster438*1,304*3,99610,246
Cocalico School District55***41***234***7,071
Columbia Borough School District0***158***151***2,251
Conestoga Valley School District232**287**633**7,218
Donegal School District22***129***134***5,582
Eastern Lancaster County School District70***79***83***8,061
Elizabethtown Area School District98***57***251***8,166
Ephrata Area School District56***0***274***8,871
Hempfield School District430*193***731**15,402
Lampeter-Strasburg School District27***130***107***6,455
Manheim Central School District67***25***100***8,564
Manheim Township School District638*123***585*11,147
Penn Manor School District407**165***641**11,675
Pequea Valley School District0***9***60***4,682
Solanco School District26***15***117***8,365
Warwick School District153***55***181***8,987
Lancaster County Boroughs
Adamstown borough0***5***0***628
Akron borough33***0***41***936
Christiana borough0***0***0***183*
Columbia borough0***158***151***2,251
Denver township12***10***94***927
East Petersburg borough30***0***153***1,592
Elizabethtown borough13***57***66***2,438
Ephrata borough15***0***139***3,066
Lititz borough62***15***58***2,469
Manheim borough0***0***50***1,370
Marietta borough6***15***10***653
Millersville borough0***0***72***1,140*
Mount Joy borough0***55***58***1,986
Mountville borough0***26***59***1,031
New Holland borough26***63***43***1,349
Quarryville borough13***0***8***613
Strasburg borough0***0***0***941
Terre Hill borough0***0***6***203*
Lancaster County Townships
Bart township0***0***0***574
Brecknock township0***0***0***2,035
Caernarvon township12***0***7***1,106
Clay township0***0***13***1,991
Colerain township0***0***0***966
Conestoga township32***12***0***1,409
Conoy township0***0***80***1,229
Drumore township0***0***10***608
Earl township19***16***16***1,533
East Cocalico township36***0***62***3,196
East Donegal township16***42***66***2,272
East Drumore township12***0***0***942
East Earl township13***0***11***1,835
East Hempfield township285**84***368***7,578
East Lampeter township58***281**491**3,476
Eden township1***0***0***540
Elizabeth township0***0***0***1,191
Ephrata township8***0***81***2,878
Fulton township0***0***0***698*
Lancaster township212***379***728*3,931
Leacock township0***0***0***979
Little Britain township0***0***44***1,283
Manheim township638*123***585*11,147
Manor township341***115***528**5,857
Martic township0***0***0***1,704
Mount Joy township61***17***60***2,938
Paradise township0***9***48***1,188
Penn township29***8***33***3,220
Pequea township34***38***41***1,539
Providence township0***15***55***2,141
Rapho township38***17***17***3,974
Sadsbury township0***5***22***687
Salisbury township0***0***12***2,515
Strasburg township0***0***0***1,177
Upper Leacock township50***0***52***1,567
Warwick township91***40***123***5,327
West Cocalico township7***26***78***2,333
West Donegal township24***0***45***2,232
West Earl township124***6***90***2,175
West Hempfield township115***83***151***5,201
West Lampeter township27***130***107***4,168
Berks County1,3332,68112,95598,582
Chester County7,8624,4936,448131,686
Cumberland County2,864860*1,75868,810
Dauphin County3,1797,3943,20161,290
Lebanon County490321*2,52836,423
York County1,5074,2465,438124,556

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 Increasing
Foreign-Born Population Increasing
Language Diversity Maintaining
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 Increasing
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 Maintaining
Students Eligible for Free/Reduced Price Lunch Increasing
Median Home Value Maintaining
Occupied Housing Units Increasing
Homeownership Rate, by Race/Ethnicity Not Applicable
Cost of Homeownership by Race/Ethnicity Not Applicable
Median Rent Maintaining
Cost of Renting Decreasing
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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