Demographics
Change in Population by Age and Gender


Change in Population by Age and Gender

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 2011-15 in Berks County, there was more growth in older age brackets among both men and women. There was a 40% increase in the population of women 50-59 and 49% between 60 and 69. Among men, the greatest increases were in the age brackets of 50-59 (42%) and 60-69 (60%). Both genders also had smaller increases in the age brackets of 20-29 (20% for women, 24% for men) and and declines in the 30-39 age brackets (-15% for women, -16% for men). The population 80 and older increased significantly more among men (39%) than women (12%), but there were twice as many 80+ plus women as men.

Within the county, the age brackets of 50-59 and 60-69 increased for both genders in all regions, but the extent varied. Other trends differed significantly. For example, the female population between 30 and 39 was stable in the South and Central regions, but declined more than 30% in the Northeast, Southeast and West regions. In the City of Reading, there were much larger decreases in the age brackets of 70-79 and 80+ than Berks County as a whole.

Pennsylvania and the U.S. were generally similar to Berks County, with some exceptions. For example, the population of women 40-49 dropped 12% statewide, but remained stable in Berks County during the same period. Among neighboring counties, Schuylkill's population declined in all age groups under 50 for both genders, as well as the 70-79 bracket. Counties varied most in the extent of population change among women 80 and older, ranging from a 7% decline in Schuylkill to a 45% 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
Females Age 0 to 19Females Age 20 to 29Females Age 30 to 39Females Age 40 to 49Females Age 50 to 59Females Age 60 to 69Females Age 70 to 79Females Age 80 or olderMales Age 0 to 19Males Age 20 to 29Males Age 30 to 39Males Age 40 to 49Males Age 50 to 59Males Age 60 to 69Males Age 70 to 79Males Age 80 or older
United States3%15%-6%-2%41%59%7%21%2%16%-5%-2%42%65%19%45%
Pennsylvania-5%13%-17%-12%33%41%-13%11%-5%17%-14%-12%36%51%-3%32%
Berks County7%20%-15%1%40%49%-7%12%5%24%-16%-4%42%60%-4%39%
Berks County Regions
Central12%20%-2%11%32%24%-29%-24%15%21%-11%5%38%42%-28%0%
Northeast-6%19%-32%-3%50%74%32%15%-5%18%-31%-8%39%68%16%103%
South18%29%2%-2%41%52%-6%22%17%31%-4%4%50%47%4%39%
Southeast6%13%-31%7%63%66%19%85%2%12%-23%-4%50%106%14%81%
West0%19%-30%-5%34%60%-2%28%-16%41%-18%-16%40%77%2%51%
Reading city12%14%-1%14%23%28%-36%-30%13%14%-15%11%36%56%-35%-6%
Berks County Peers
Chester County11%24%-17%0%53%76%14%45%8%30%-14%1%48%82%30%68%
Lancaster County4%20%-9%-8%42%62%5%32%3%21%-9%-7%44%69%13%51%
Lebanon County10%17%-11%-3%31%52%3%26%8%14%-10%-4%32%68%4%57%
Lehigh County11%26%-7%-2%40%49%-9%16%12%28%-8%-1%44%55%4%32%
Montgomery County2%13%-17%-6%39%49%-4%22%2%14%-15%-5%41%58%-2%47%
Schuylkill County-8%-4%-18%-12%22%26%-28%-7%-7%-6%-22%-3%27%41%-14%12%

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
Females Age 0 to 19Females Age 20 to 29Females Age 30 to 39Females Age 40 to 49Females Age 50 to 59Females Age 60 to 69Females Age 70 to 79Females Age 80 or olderMales Age 0 to 19Males Age 20 to 29Males Age 30 to 39Males Age 40 to 49Males Age 50 to 59Males Age 60 to 69Males Age 70 to 79Males Age 80 or older
United States40,297,91021,736,23420,514,06121,263,52622,302,38217,262,00410,033,9057,370,71942,150,35722,566,00820,525,36020,902,97021,225,05515,701,1238,283,9454,379,462
Pennsylvania1,511,781840,183752,871852,176964,101755,051462,162395,8901,580,140863,783756,932834,402928,285692,205368,535221,062
Berks County53,15026,28423,86828,74330,02922,84914,14611,63455,36126,68823,09028,02329,71621,84811,5466,990
Berks County Regions
Central18,1499,3637,9437,8316,9095,3313,1782,42519,7009,0476,9987,5936,5824,6102,3571,467
Northeast7,6975,0023,0074,5775,0034,0592,3231,4887,6894,7263,0334,4474,8103,7711,8921,256
South13,5705,8057,0177,5758,3816,2224,4414,07213,9095,6406,3687,4858,3905,7233,6702,286
Southeast6,4652,6782,7284,1124,6273,3791,8621,5327,0582,7472,9433,9984,5233,7591,510846
West7,2693,4363,1734,6485,1093,8542,3422,1177,0054,5283,7484,5005,4113,9852,1131,135
Reading city14,7087,3786,0955,5504,4343,5681,8291,43715,6107,0895,1125,6374,3163,1331,321840
Berks County Peers
Chester County66,83129,36229,08938,09440,20127,38115,49512,67369,60230,35828,70736,82638,10026,40813,5637,107
Lancaster County70,21034,82231,61132,90337,12829,77318,16016,18673,52634,65430,09933,07435,80827,78914,8189,655
Lebanon County16,8357,9437,7878,8429,8498,0835,3084,74917,6437,8688,0128,5859,5157,9124,1542,691
Lehigh County44,80322,70822,24924,41425,86219,72012,19211,12846,79722,47621,59024,04825,01817,8279,7106,214
Montgomery County97,97147,06650,22658,34862,99946,38729,08825,997102,01547,56450,12556,32059,57042,44622,00214,846
Schuylkill County15,3347,3208,0219,68010,6839,1306,2685,40316,4488,9149,38811,37211,1979,2844,9942,924

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
Occupied 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