Demographics details for Glen ellyn, IL vs Mechanicsburg, PA

Population Overview

Compare main population characteristics in Glen ellyn, IL vs Mechanicsburg, PA.

Data Glen ellyn Mechanicsburg
Population 28,364 9,634
Median Age 41.6 years 38.4 years
Median Income $128,132 $75,806
Married Families 48.0% 36.0%
Poverty Level 5% 5%
Unemployment Rate 5.6 4.5

Population Comparison: Glen ellyn vs Mechanicsburg

  • In Glen ellyn, the population is higher at 28,364, compared to 9,634 in Mechanicsburg.
  • Residents in Glen ellyn have a higher median age of 41.6 years compared to 38.4 years in Mechanicsburg.
  • Glen ellyn has a higher median income of $128,132 compared to $75,806 in Mechanicsburg.
  • A higher percentage of married families is found in Glen ellyn at 48.0% compared to 36.0% in Mechanicsburg.
  • The poverty level is identical in both Glen ellyn and Mechanicsburg at 5%.
  • The unemployment rate in Glen ellyn is higher at 5.6%, compared to 4.5% in Mechanicsburg.

Demographics

Demographics Glen ellyn vs Mechanicsburg provide insight into the diversity of the communities to compare.

Demographic Glen ellyn Mechanicsburg
Black 3 2
White 78 84
Asian 9 1
Hispanic 5 6
Two or More Races 5 7
American Indian Data is updating Data is updating

Demographics Comparison: Glen ellyn vs Mechanicsburg

  • A higher percentage of Black residents are in Glen ellyn at 3% compared to 2% in Mechanicsburg.
  • The percentage of White residents is higher in Mechanicsburg at 84% compared to 78% in Glen ellyn.
  • The Asian population is larger in Glen ellyn at 9% compared to 1% in Mechanicsburg.
  • Mechanicsburg has a higher percentage of Hispanic residents at 6%, compared to 5% in Glen ellyn.
  • The percentage of residents identifying as two or more races is higher in Mechanicsburg at 7%, compared to 5% in Glen ellyn.
  • The percentage of American Indian residents is the same in both Glen ellyn and Mechanicsburg at 0%.

Health Statistics

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

Health Metric Glen ellyn Mechanicsburg
Mental Health Not Good 11.9% 15.3%
Physical Health Not Good 7.4% 10.2%
Depression 17.3% 21.8%
Smoking 9.4% 15.7%
Binge Drinking 17.2% 17.8%
Obesity 29.2% 31.2%
Disability Percentage 9.0% 11.0%

Health Statistics Comparison: Glen ellyn vs Mechanicsburg

  • In Mechanicsburg, a higher percentage report poor mental health at 15.3% compared to 11.9% in Glen ellyn.
  • Higher depression rates are seen in Mechanicsburg at 21.8% versus 17.3% in Glen ellyn.
  • Mechanicsburg has a higher smoking rate at 15.7% compared to 9.4% in Glen ellyn.
  • More residents engage in binge drinking in Mechanicsburg at 17.8% compared to 17.2% in Glen ellyn.
  • Mechanicsburg has higher obesity rates at 31.2% compared to 29.2% in Glen ellyn.
  • There is a higher percentage of disabled individuals in Mechanicsburg at 11.0% compared to 9.0% in Glen ellyn.

Education Levels

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

Education Level Glen ellyn Mechanicsburg
No Schooling 0.3% (93) 0.1% (13)
High School Diploma 6.4% (1,815) 21.7% (2,086)
Less than High School 4.1% (1,149) 5.7% (550)
Bachelor's Degree and Higher 45.8% (12,997) 30.4% (2,931)

Education Levels Comparison: Glen ellyn vs Mechanicsburg

  • A higher percentage of residents in Glen ellyn have no formal schooling at 0.3% compared to 0.1% in Mechanicsburg.
  • In Mechanicsburg, the rate of residents with high school diplomas is higher at 21.7% compared to 6.4% in Glen ellyn.
  • The percentage of residents with less than a high school education is higher in Mechanicsburg at 5.7%, compared to 4.1% in Glen ellyn.
  • A higher percentage of residents in Glen ellyn hold a bachelor's degree or higher at 45.8% compared to 30.4% in Mechanicsburg.

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.