Demographics details for Trexlertown, PA vs Petersburg, NE

Population Overview

Compare main population characteristics in Trexlertown, PA vs Petersburg, NE.

Data Trexlertown Petersburg
Population 1,885 329
Median Age 34.6 years 40.1 years
Median Income $93,472 $65,500
Married Families 50.0% 62.0%
Poverty Level 4% Data is updating
Unemployment Rate 3.5 2.5

Population Comparison: Trexlertown vs Petersburg

  • In Trexlertown, the population is higher at 1,885, compared to 329 in Petersburg.
  • The median age in Petersburg is higher at 40.1 years, compared to 34.6 years in Trexlertown.
  • Trexlertown has a higher median income of $93,472 compared to $65,500 in Petersburg.
  • In Petersburg, the percentage of married families is higher at 62.0%, compared to 50.0% in Trexlertown.
  • Trexlertown has a higher poverty level at 4% compared to 0% in Petersburg.
  • The unemployment rate in Trexlertown is higher at 3.5%, compared to 2.5% in Petersburg.

Demographics

Demographics Trexlertown vs Petersburg provide insight into the diversity of the communities to compare.

Demographic Trexlertown Petersburg
Black 18 Data is updating
White 65 85
Asian 11 Data is updating
Hispanic 5 9
Two or More Races 1 6
American Indian Data is updating Data is updating

Demographics Comparison: Trexlertown vs Petersburg

  • A higher percentage of Black residents are in Trexlertown at 18% compared to 0% in Petersburg.
  • The percentage of White residents is higher in Petersburg at 85% compared to 65% in Trexlertown.
  • The Asian population is larger in Trexlertown at 11% compared to 0% in Petersburg.
  • Petersburg has a higher percentage of Hispanic residents at 9%, compared to 5% in Trexlertown.
  • The percentage of residents identifying as two or more races is higher in Petersburg at 6%, compared to 1% in Trexlertown.
  • The percentage of American Indian residents is the same in both Trexlertown and Petersburg at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Trexlertown Petersburg
Mental Health Not Good 13.5% 14.2%
Physical Health Not Good 8.2% 9.8%
Depression 19.9% 17.9%
Smoking 12.3% 17.8%
Binge Drinking 19.4% 21.8%
Obesity 28.2% 43.1%
Disability Percentage 3.0% 11.0%

Health Statistics Comparison: Trexlertown vs Petersburg

  • In Petersburg, a higher percentage report poor mental health at 14.2% compared to 13.5% in Trexlertown.
  • Depression is more prevalent in Trexlertown at 19.9% compared to 17.9% in Petersburg.
  • Petersburg has a higher smoking rate at 17.8% compared to 12.3% in Trexlertown.
  • More residents engage in binge drinking in Petersburg at 21.8% compared to 19.4% in Trexlertown.
  • Petersburg has higher obesity rates at 43.1% compared to 28.2% in Trexlertown.
  • There is a higher percentage of disabled individuals in Petersburg at 11.0% compared to 3.0% in Trexlertown.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Trexlertown Petersburg
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 18.4% (347) 24.0% (79)
Less than High School 4.0% (76) 4.9% (16)
Bachelor's Degree and Higher 41.2% (776) 18.2% (60)

Education Levels Comparison: Trexlertown vs Petersburg

  • The percentage of residents with no formal schooling is the same in both Trexlertown and Petersburg at 0.0%.
  • In Petersburg, the rate of residents with high school diplomas is higher at 24.0% compared to 18.4% in Trexlertown.
  • The percentage of residents with less than a high school education is higher in Petersburg at 4.9%, compared to 4.0% in Trexlertown.
  • A higher percentage of residents in Trexlertown hold a bachelor's degree or higher at 41.2% compared to 18.2% in Petersburg.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.