Change in Population by Age and Gender, 2015-19

Change in Population by Age and Gender, 2015-19

What does this measure?

The growth or decline in the number of residents of a geographic area, broken down by gender and age.

Why is this important?

Population measures provide insight on how communities are changing in size and composition. The age distribution of a population affects a community's character and the services that it requires. For example, an area with a large concentration of youth will have different service needs now and in the future than an area with a large elderly population.

How is our county performing?

From 2000 to 2015-19 in Berks County, there was more growth in older age brackets among both men and women. There was a 14% increase in the population of women 40-59 and 30% between 60 and 84. Among men, the greatest increases were in the age brackets of 85 or older (59%) and 60-84 (44%). Both genders had much smaller increases in the age brackets of 20-39 (less than 2% for women, 4% for men).The population 85 and older increased significantly more among men than women (21%), but there were twice as many 85+ plus women as men.

Within the county, the age brackets of 40-59 and 60-84 generally increased for both genders in each region, though the female population aged 60-84 in the Central region and Reading City increased slightly by 0.3% and 3% respectively. Other trends differed significantly. For example, the female population between 20 and 39 increased 11% in the Southern and 9% in the Central regions of Berks County, but declined by 5% in Western, and 9% in the Northeast regions.

Pennsylvania and the U.S. were generally similar to Berks County, with some exceptions. For example, the population of women aged 40-59 increased 0% statewide, and 14% at the county level, which is similar to the nation's 13% increase over the same time period. Among neighboring counties, Schuylkill was the only county to see a female population decline in most of its age groups, showing increases only in the 85 or older (2%). Counties varied most in the extent of population change among women aged 60-84 ranging from a 3% decline in Schuylkill to a 66% increase in Chester.

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.

Individuals age into and out of these groups, and this indicator should not be interpreted as a measure of groups moving to or away from the region. 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.

Change in Population by Age and Gender, 2015-19
United States3%2%
Berks County4%3%
Berks County Regions
Reading city8%7%
Berks County Peers
Chester County8%7%
Lancaster County3%2%
Lebanon County13%11%
Lehigh County11%12%
Montgomery County1%-0%
Schuylkill County-11%-11%

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%.

Population by Age and Gender, 2015-19
United States40,122,94241,937,669
Berks County52,18254,372
Berks County Regions
Reading city14,49214,652
Berks County Peers
Chester County65,90768,082
Lancaster County69,67673,008
Lebanon County17,44318,080
Lehigh County44,91347,445
Montgomery County97,176100,592
Schuylkill County14,88115,863

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%.

Adults Who are Overweight or Obese Not Applicable
Students in K-6 Overweight or Obese Not Applicable
Students in 7-12 Overweight or Obese Not Applicable
Physically Inactive Adults Not Applicable
Students Eligible for Free/Reduced Price Lunch Increasing
Early Prenatal Care Increasing
Early Prenatal Care by Mother's Race/Ethnicity Not Applicable
Children Living in Poverty Increasing
Children Living in Poverty, by Race/Ethnicity Not Applicable
Single-Parent Families Increasing
Single-Parent Families by Race/Ethnicity Not Applicable
Disengaged Youth Decreasing
Live Births to Teen Mothers Decreasing
Population by Age Not Applicable
Children with Elevated Blood Lead Levels Maintaining
Change in Population by Age and Gender Not Applicable
Change in Total Population by Race/Ethnicity Not Applicable
Households by type Not Applicable
Foreign-Born Population Increasing
Seniors Living Alone Maintaining
Language Diversity Increasing
Unemployment Rate Increasing
Change in Labor Force Decreasing
Employment to Population ratio Decreasing
Change in Jobs by Sector Not Applicable
Sector Share of Total Jobs Not Applicable
Average Salary by Sector Not Applicable
Change in Average Salary by Sector Not Applicable
People Entering/Leaving County/Region for Work Not Applicable
Public Assistance Maintaining
Spending for Local Governments Maintaining
Spending for Counties Maintaining
Spending for School Districts Maintaining
Prekindergarten Participation Increasing
English Language Learners Increasing
Students Receiving Special Education Services Increasing
Per Student Spending Maintaining
High School Cohort Graduation Rate Increasing
Education Levels of Adults Not Applicable
Education Levels of Adults, by Race/Ethnicity Not Applicable
Brain Drain/Gain Maintaining
Plans of High School Graduates Not Applicable
Enrollment in Local Colleges Decreasing
Median Household Income Maintaining
Median Household Income by Household Type Not Applicable
Living Wage Not Applicable
People Living in Poverty Increasing
Working Poor Maintaining
People Receiving Federal Food Assistance Increasing
People Receiving Supplemental Security Income Increasing
Health Status Not Applicable
People Enrolled in Medicaid Managed Care Increasing
People Without Health Insurance Decreasing
Cancer Incidence Decreasing
Prevalence of Mental Illness Maintaining
Vacant Housing Units Increasing
Homeownership Rates Decreasing
Cost of Homeownership Maintaining
Cost of Homeownership, by Race/Ethnicity Not Applicable
Cost of Rent Increasing
Cost of Rent, by Race/Ethnicity Not Applicable
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 Not Applicable
Arts, Entertainment and Recreation Establishments Maintaining
Toxic Chemical Releases Decreasing
Violent Crimes Maintaining
Property Crimes Decreasing
Incarceration Rates Maintaining
Drug Abuse Offenses Increasing
Drug Abuse Arrests Increasing
Protection from Domestic Abuse Maintaining
Average Travel Time to Work Increasing
Crashes Involving Alcohol Decreasing
Households Without Vehicles Decreasing