Demographics details for Osterburg, PA vs Lombard, IL

Population Overview

Compare main population characteristics in Osterburg, PA vs Lombard, IL.

Data Osterburg Lombard
Population 324 43,856
Median Age 40.0 years 37.7 years
Median Income $55,000 $95,509
Married Families 50.0% 44.0%
Poverty Level 10% 5%
Unemployment Rate 5.0 5.2

Population Comparison: Osterburg vs Lombard

  • The population in Lombard is higher at 43,856, compared to 324 in Osterburg.
  • Residents in Osterburg have a higher median age of 40.0 years compared to 37.7 years in Lombard.
  • Lombard has a higher median income of $95,509, compared to $55,000 in Osterburg.
  • A higher percentage of married families is found in Osterburg at 50.0% compared to 44.0% in Lombard.
  • Osterburg has a higher poverty level at 10% compared to 5% in Lombard.
  • Lombard has a higher unemployment rate at 5.2% compared to 5.0% in Osterburg.

Demographics

Demographics Osterburg vs Lombard provide insight into the diversity of the communities to compare.

Demographic Osterburg Lombard
Black 1 5
White 98 65
Asian Data is updating 12
Hispanic 1 11
Two or More Races Data is updating 7
American Indian Data is updating Data is updating

Demographics Comparison: Osterburg vs Lombard

  • In Lombard, the percentage of Black residents is higher at 5% compared to 1% in Osterburg.
  • Osterburg has a higher percentage of White residents at 98% compared to 65% in Lombard.
  • In Lombard, the Asian population stands at 12%, greater than 0% in Osterburg.
  • Lombard has a higher percentage of Hispanic residents at 11%, compared to 1% in Osterburg.
  • The percentage of residents identifying as two or more races is higher in Lombard at 7%, compared to 0% in Osterburg.
  • The percentage of American Indian residents is the same in both Osterburg and Lombard at 0%.

Health Statistics

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

Health Metric Osterburg Lombard
Mental Health Not Good Data is updating% 13.0%
Physical Health Not Good Data is updating% 8.5%
Depression Data is updating% 17.9%
Smoking Data is updating% 11.8%
Binge Drinking Data is updating% 16.7%
Obesity Data is updating% 30.9%
Disability Percentage Data is updating% 9.0%

Health Statistics Comparison: Osterburg vs Lombard

  • In Lombard, a higher percentage report poor mental health at 13.0% compared to 0.0% in Osterburg.
  • Higher depression rates are seen in Lombard at 17.9% versus 0.0% in Osterburg.
  • Lombard has a higher smoking rate at 11.8% compared to 0.0% in Osterburg.
  • More residents engage in binge drinking in Lombard at 16.7% compared to 0.0% in Osterburg.
  • Lombard has higher obesity rates at 30.9% compared to 0.0% in Osterburg.
  • There is a higher percentage of disabled individuals in Lombard at 9.0% compared to 0.0% in Osterburg.

Education Levels

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

Education Level Osterburg Lombard
No Schooling 0.0% (Data is updating) 0.4% (166)
High School Diploma 0.0% (Data is updating) 13.2% (5,778)
Less than High School 0.0% (Data is updating) 3.9% (1,716)
Bachelor's Degree and Higher 0.0% (Data is updating) 35.6% (15,594)

Education Levels Comparison: Osterburg vs Lombard

  • In Lombard, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Osterburg.
  • In Lombard, the rate of residents with high school diplomas is higher at 13.2% compared to 0.0% in Osterburg.
  • The percentage of residents with less than a high school education is higher in Lombard at 3.9%, compared to 0.0% in Osterburg.
  • In Lombard, a larger share of residents have a bachelor's degree or higher at 35.6% compared to 0.0% in Osterburg.

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.