Financial Security
Median Household Income, by Race/Ethnicity

Maintaining


Median Household Income, by Race/Ethnicity, 2014-18

What does this measure?

Median household income, inflated to 2018 dollars, broken down by race/ethnicity. Half of incomes are below the median and half are above.

Why is this important?

Median household income is a gauge of overall economic health of the region and the financial resources of households. Examining income for different racial and ethnic groups is important as a measure of inequity.

How does our county compare?

In 2014-18, median incomes in Lancaster County were highest among Asian and white residents, at $70,792 and $65,683, respectively, and lowest among Hispanic and African American residents, at $40,494 and $39,940, respectively. The income disparity between white/Asian and African American/Hispanic earners was similar to the pattern of overall Pennsylvania and U.S. disparities. While Lancaster County median incomes were slightly above Pennsylvania averages for African Americans, Hispanics and whites, it was below U.S. median incomes for African Americans, Hispanics and Asians, and slightly above the U.S. median for whites.

Incomes were lower for all groups in the City of Lancaster: $40,694 for Asians, $38,738 for African Americans, $32,005 for Hispanics and $47,060 for whites.

All groups in Lancaster County saw median incomes drop between 2000 and 2014-18.

Why do these disparities exist?

These large and persistent disparities in income are the result of historic and current policies and practices that disadvantaged people of color. Research has connected slavery and the inability of black Americans even after emancipation to fully participate in economic life to the wealth and income gaps still present today. Structural racism perpetuated by policies and practices that systematically disadvantage African American and Latino communities include inequitable education, low wages, job and wage discrimination, lack of access to capital, and globalization. Even when a recovery from the current economic crisis occurs, it is not expected to make up for the pre-existing racial disparities experienced over time unless policies are enacted to address these gaps.

Notes about the data

Figures are in constant 2018 dollars. 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 expected to be released in the fourth quarter.

Median Household Income, by Race/Ethnicity, 2014-18
AsianBlack or African AmericanHispanicWhite
Pennsylvania$72,699$36,847$40,086$63,110
Lancaster County$70,792$39,940$40,494$65,683
Lancaster City$40,694$38,738$32,005$47,060
Lancaster County Boroughs
Adamstown boroughN/A***$64,018**$40,909*$76,750
Akron boroughN/A***N/A***$52,276***$59,980
Columbia borough$52,656***$29,318*$26,141**$40,571
Denver townshipN/A***N/A***$67,708***$57,371
East Petersburg boroughN/A***N/A***$92,740$80,588
Elizabethtown borough$85,804***N/A***$40,104***$59,946
Ephrata boroughN/A***$19,531***$36,259$50,747
Lititz boroughN/A***N/A***$97,630*$61,929
Manheim boroughN/A***N/A***N/A***$50,469
Marietta boroughN/A***N/A***N/A***$53,073
Millersville boroughN/A***N/A***$140,362***$51,838
Mount Joy boroughN/A***$53,108***N/A***$63,000
Mountville boroughN/A***N/A***N/A***$55,967
New Holland boroughN/A***N/A***$110,100***$57,834
Quarryville boroughN/A***N/A***N/A***$62,143
Strasburg boroughN/A***N/A***N/A***$66,731
Terre Hill boroughN/A***N/A***N/A***$72,604
Lancaster County Townships
Bart townshipN/A***N/A***N/A***$60,469
Brecknock townshipN/A***N/A***N/A***$64,873
Caernarvon townshipN/A***N/A***N/A***$72,500
Clay townshipN/A***$26,406***N/A***$65,962
Colerain townshipN/A***N/A***N/A***$72,550
Conestoga townshipN/A***N/A***N/A***$73,475
Conoy townshipN/A***N/A***N/A***$76,593
Drumore townshipN/A***N/A***N/A***$73,438
Earl townshipN/A***N/A***$33,542***$57,857
East Cocalico townshipN/A***N/A***N/A***$72,444
East Donegal townshipN/A***N/A***N/A***$74,681
East Drumore townshipN/A***N/A***N/A***$65,327
East Earl townshipN/A***N/A***N/A***$70,443
East Hempfield township$54,795*$32,917$33,309**$77,173
East Lampeter township$77,950*$45,500N/A***$58,473
Eden townshipN/A***N/A***$138,889***$65,284
Elizabeth townshipN/A***N/A***N/A***$79,738
Ephrata township$52,188***N/A***$48,560$65,413
Fulton townshipN/A***N/A***$73,750**$61,793
Lancaster townshipN/A***$57,656**$47,201$62,168
Leacock townshipN/A***N/A***N/A***$59,818
Little Britain townshipN/A***N/A***N/A***$71,044
Manheim township$94,923*$73,409***$58,558$77,369
Manor township$81,016**$32,188*$50,602$66,095
Martic townshipN/A***N/A***$17,171***$70,761
Mount Joy townshipN/A***N/A***$35,476***$69,501
Paradise townshipN/A***N/A***N/A***$61,016*
Penn townshipN/A***N/A***N/A***$68,812
Pequea townshipN/A***N/A***N/A***$78,750
Providence townshipN/A***N/A***$25,884***$59,808*
Rapho townshipN/A***N/A***$81,012***$72,256
Sadsbury townshipN/A***N/A***N/A***$79,145
Salisbury townshipN/A***N/A***$102,273***$73,133
Strasburg townshipN/A***N/A***N/A***$73,081
Upper Leacock township$101,500***$29,769***$63,182**$62,230
Warwick township$76,750N/A***$32,083***$76,326
West Cocalico townshipN/A***N/A***N/A***$66,743
West Donegal townshipN/A***N/A***N/A***$75,341
West Earl townshipN/A***N/A***$106,078*$75,179
West Hempfield township$81,500***$65,521***N/A***$75,468
West Lampeter townshipN/A***$250,001N/A***$77,221
Berks County$71,591*$43,118$33,710$64,326
Chester County$139,004$56,236$58,213$97,888
Cumberland County$93,424$37,703$48,708$69,642
Dauphin County$58,773$40,126$42,065$65,152
Lebanon County$60,500**$41,275$39,059$61,415
York County$60,361$49,283$35,035$65,359

Source: U.S. Census Bureau
Notes: Figures in 2018 dollars. 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 Maintaining
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 Decreasing
Age of Housing Stock Not Applicable
Violent Crime Rate Maintaining
Incarceration Rate Maintaining
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 Increasing
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 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 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 Decreasing
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 Maintaining
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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