Demographics
Change in Population by Age and Gender, 2012-16


Change in Population by Age and Gender, 2012-16

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 2012-16 in Berks County, there was more growth in older age brackets among both men and women. There was a 16% increase in the population of women 40-59 and 21% between 60 and 84. Among men, the greatest increases were in the age brackets of 60-84 (32%) and 85 or older (63%). Both genders had much smaller increases in the age brackets of 20-39 (less than 1% for women, 2% for men).The population 85 and older increased significantly more among men than women (18%), but there were twice as many 85+ plus women as men.

Within the county, the age brackets of 40-59 and 60-84 increased for both genders in all regions, though the female population aged 60-84 in Reading City decreased by 9%. Other trends differed significantly. For example, the female population between 20 and 39 increased 32% in the Central region of Berks County, but declined by 16% in the Southeast region. In the City of Reading, there were large decreases in the 85 or older age bracket for both genders, while the county's overall population of the same cohort increased significantly; the most dramatic rise was the 250% increase of the female population in the Southeast of the same age group.

Pennsylvania and the U.S. were generally similar to Berks County, with some exceptions. For example, the population of women aged 40-59 increased 6% statewide, and 16% at the county level, but for the nation as a whole this group increased 127% in 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 40-59 age group (5%) and 85 or older (9%).Counties varied most in the extent of population change among women aged 60-84 ranging from a 6% decline in Schuylkill to a 49% 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. Data for this indicator are released annually in July.

Change in Population by Age and Gender, 2012-16
FemaleMale
United States3%2%
Pennsylvania-1%-6%
Berks County11%4%
Berks County Regions
Central18%15%
Northeast-5%-7%
South18%13%
Southeast11%-2%
West9%-11%
Reading city18%11%
Berks County Peers
Chester County16%8%
Lancaster County8%3%
Lebanon County17%9%
Lehigh County15%12%
Montgomery County7%1%
Schuylkill County-5%-8%

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, 2012-16
FemaleMale
United States40,237,67542,058,730
Pennsylvania1,498,6851,568,264
Berks County52,64554,967
Berks County Regions
Central18,10119,667
Northeast7,4467,560
South13,13913,497
Southeast6,3816,833
West7,5787,410
Reading city14,60015,435
Berks County Peers
Chester County66,47469,176
Lancaster County70,01573,354
Lebanon County17,12417,804
Lehigh County44,68646,844
Montgomery County97,683101,420
Schuylkill County15,10216,245

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%.




Change in Population by Age and Gender, 2000
FemaleMale
United StatesN/AN/A
PennsylvaniaN/AN/A
Berks CountyN/AN/A
Berks County Regions
CentralN/AN/A
NortheastN/AN/A
SouthN/AN/A
SoutheastN/AN/A
WestN/AN/A
Reading cityN/AN/A
Berks County Peers
Chester CountyN/AN/A
Lancaster CountyN/AN/A
Lebanon CountyN/AN/A
Lehigh CountyN/AN/A
Montgomery CountyN/AN/A
Schuylkill CountyN/AN/A

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, 2000
FemaleMale
United States39,051,76641,132,521
Pennsylvania1,521,1641,671,094
Berks County47,54652,970
Berks County Regions
Central15,33117,120
Northeast7,8738,135
South11,17611,929
Southeast5,7746,938
West6,9328,329
Reading city12,41813,845
Berks County Peers
Chester County57,47664,153
Lancaster County64,57271,461
Lebanon County14,57516,298
Lehigh County38,74441,878
Montgomery County91,439100,378
Schuylkill County15,97217,638

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 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 Maintaining
Live Births to Teen Mothers Decreasing
Change in Population by Age and Gender Not Applicable
Change in Total Population by Race/Ethnicity Not Applicable
Population by Age and Race/Ethnicity Not Applicable
Foreign-Born Population Increasing
Language Diversity Increasing
Unemployment Rate Increasing
Change in Labor Force Increasing
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 Region for Work Not Applicable
Public Assistance Increasing
Local Government Spending Increasing
County Government Spending Decreasing
School District Spending Increasing
Quality Early Childhood Centers Increasing
Prekindergarten Participation Increasing
Students Eligible for Free/Reduced Price Lunch Increasing
English Language Learners Increasing
Students Receiving Special Education Services Increasing
Per Student Spending 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 on High School Reading Increasing
Student Performance on High School Math Increasing
High School Cohort Graduation Rate Increasing
Plans of High School Graduates Not Applicable
Education Levels of Adults by Race/Ethnicity Not Applicable
Brain Drain/Gain Increasing
Median Household Income Decreasing
Median Household Income by Household Type Not Applicable
Living Wage by Household Type Not Applicable
People Living in Poverty Increasing
Working Poor Maintaining
People Receiving Federal Food Assistance Increasing
Health Status Decreasing
Managed Medicaid Enrollment Increasing
People Without Health Insurance Decreasing
Physically Inactive Adults Maintaining
Adults Who Are Overweight or Obese Not Applicable
Children Who Are Overweight or Obese Not Applicable
Youth Who Are Overweight or Obese Not Applicable
Vacant Housing Units Not Applicable
Homeownership Rates Decreasing
Housing Affordability for Homeowners Decreasing
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 Not Applicable
Single-Family Home Sales Maintaining
Median Single-Family Home Sale Price Increasing
Tourism Spending Decreasing
Voter Registration Rate Increasing
Voter Participation Rate Increasing
Average Charitable Giving Increasing
Charitable Contributions as a Percentage of Income Increasing
Households With Internet Access Increasing
Dams Not Applicable
Violent Crimes Decreasing
Property Crimes Decreasing
Incarceration Rates Decreasing
Drug Abuse Offenses Increasing
Drug Abuse Arrests Increasing
Protection from Domestic Abuse Maintaining
Means of Transportation to Work Not Applicable
Average Travel Time to Work Increasing
Households Without Vehicles Decreasing
Crashes Involving Alcohol Decreasing