Demographics
Population Proportions by Age and Race/Ethnicity, 2013-17





Population Proportions by Age and Race/Ethnicity, 2013-17

What does this measure?

The share of each racial or ethnic group in selected age brackets.

Why is this important?

Population measures provide insight on how communities are changing in size and composition. The racial and ethnic makeup of a community can offer insight into its levels of diversity, which also may reflect particular challenges and opportunities. The distribution of population among ages affects a community's character and the services that it requires.

How is our county performing?

In 2013-17 in Berks County, the white population was older than the Hispanic, African American and Asian populations. The percentage under 25 was higher for Hispanics (45%) and African Americans (47%) compared to 41% of whites and 42% of Asians. Conversely, 19% of whites were over age 65, compared to 4% of Hispanics, 8% of African Americans and 10% of Asians.

A larger share of Hispanics, African Americans and Asians fell in the "under 25" age bracket in Berks County than in Pennsylvania and the U.S. as a whole. The percentage of whites under 25 in Berks was similar to the state and nation.

Berks had a similar share of whites under age 25 as most of its neighboring counties (which varied from 39% to 42%). The percentage of African Americans under 25 was higher in Berks than all its neighboring counties except for Chester (47%).

Berks had a similar share of whites under age 25 (41%) as most of its neighboring counties (which varied from 39% to 42%). The percentage of African Americans under 25 was higher in Berks than all its neighboring counties except for Reading (47%).

Notes about the data

For additional detail as to how the Berks County regions are defined and which boroughs and townships are included in each, see the About Us page.

There may be additional research available on this topic. Click on Reports and Resources to learn more.

The rate is a percent of the total of each racial/ethnic group. The Census Bureau asks people to identify their race (white, African American, etc.) separate from their ethnicity (Hispanic or non-Hispanic). As a result, the totals for these categories cannot be added together, as people show up in both a racial and ethnic group.

The multiyear figures are from the Census Bureau's American Community Survey. The bureau combined 5 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.


Population Proportions by Age and Race/Ethnicity, 2013-17
AsianBlack or African AmericanHispanicWhite
United States39%44%42%41%
Pennsylvania39%44%44%41%
Berks County42%47%45%41%
Berks County Regions
Central47%**47%45%42%
Northeast72%******71%**46%**45%
South38%**41%45%40%
Southeast41%******46%****49%****40%
West36%******44%****39%**40%
Reading city49%****47%46%43%
Berks County Peers
Chester County35%46%42%42%
Lancaster County42%44%45%41%
Lebanon County42%42%46%41%
Lehigh County37%43%44%41%
Montgomery County38%42%41%40%
Schuylkill County32%**17%**39%39%

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%.




Total Population by Age and Race/Ethnicity, 2013-17
AsianBlack or African AmericanHispanicWhite
United States6,723,78317,712,94023,997,22995,396,357
Pennsylvania164,155624,596382,4574,221,205
Berks County2,4389,95336,664141,628
Berks County Regions
Central504**5,89228,91230,195
Northeast268******1,036**1,222**27,673
South1,188**1,8224,45338,727
Southeast209******690****658****20,881
West269******513****1,427**24,262
Reading city225****5,00626,04020,065
Berks County Peers
Chester County8,77613,93115,684186,567
Lancaster County4,80310,10523,987195,047
Lebanon County7531,2677,73149,012
Lehigh County4,40210,60736,208116,473
Montgomery County22,83131,24116,201264,443
Schuylkill County226**702**2,18553,253

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%.




INDICATORS TREND | BERKS COUNTY
Early Prenatal Care Increasing
Early Prenatal Care by Mother's Race/Ethnicity Increasing
Children Living in Poverty Increasing
Children Living in Poverty, by Race/Ethnicity Maintaining
Single-Parent Families Increasing
Single-Parent Families by Race/Ethnicity Decreasing
Disengaged Youth Maintaining
Live Births to Teen Mothers Decreasing
Change in Population by Age and Gender Maintaining
Change in Total Population by Race/Ethnicity Increasing
Population by Age and Race/Ethnicity Decreasing
Foreign-Born Population Increasing
Language Diversity Increasing
Unemployment Rate Decreasing
Change in Labor Force Increasing
Employment to Population ratio Increasing
Change in Jobs by Sector Not Applicable
Sector Share of Total Jobs Decreasing
Average Salary by Sector Not Applicable
Change in Average Salary by Sector Not Applicable
People Entering/Leaving County/Region for Work Increasing
Public Assistance Maintaining
Spending for Local Governments Maintaining
Spending for Counties Maintaining
Spending for School Districts Maintaining
Quality Early Childhood Centers Not Applicable
Prekindergarten Participation Increasing
Students Eligible for Free/Reduced Price Lunch Increasing
English Language Learners Increasing
Students Receiving Special Education Services Increasing
Per Student Spending Maintaining
Historically Underperforming Student Performance on Grade 3 English Decreasing
Historically Underperforming Student Performance on Grade 3 Math Increasing
Historically Underperforming Student Performance on Grade 8 English Decreasing
Historically Underperforming Student Performance on Grade 8 Math Decreasing
Student Performance on High School English Decreasing
Student Performance on High School Math Maintaining
High School Cohort Graduation Rate Increasing
Education Levels of Adults, by Race/Ethnicity Maintaining
Brain Drain/Gain Increasing
Plans of High School Graduates Decreasing
Median Household Income Maintaining
Median Household Income by Household Type Maintaining
Living Wage Maintaining
People Living in Poverty Increasing
Working Poor Maintaining
People Receiving Federal Food Assistance Increasing
People Enrolled in Medicaid Managed Care Increasing
People Without Health Insurance Decreasing
Physically Inactive Adults Not Applicable
Adults Who are Overweight or Obese Not Applicable
Students in 7-12 Overweight or Obese Increasing
Vacant Housing Units Increasing
Homeownership Rates Decreasing
Housing Affordability for Homeowners Maintaining
Housing Affordability for Homeowners by Race/Ethnicity Not Applicable
Housing Affordability for Renters Increasing
Housing Affordability for Renters, by Race/Ethnicity Not Applicable
Age of Housing Stock Decreasing
Single-Family Home Sales Increasing
Median Single-Family Home Sale Price Maintaining
Tourism Spending Maintaining
Voter Registration Rate Decreasing
Voter Participation Rate Decreasing
Average Charitable Giving Maintaining
Contributions as a Percentage of Income Maintaining
Households With Internet Access Increasing
Dams Not Applicable
Violent Crimes Maintaining
Property Crimes Decreasing
Incarceration Rates Maintaining
Drug Abuse Offenses Increasing
Drug Abuse Arrests Increasing
Protection from Domestic Abuse Maintaining
Means of Transportation to Work Maintaining
Average Travel Time to Work Increasing
Crashes Involving Alcohol Decreasing
Households Without Vehicles Decreasing