Demographics details for Mount union, PA vs Steubenville, OH

Population Overview

Compare main population characteristics in Mount union, PA vs Steubenville, OH.

Data Mount union Steubenville
Population 2,267 18,030
Median Age 34.8 years 37.0 years
Median Income $38,382 $42,725
Married Families 25.0% 29.0%
Poverty Level 12% 19%
Unemployment Rate 4.2 6.2

Population Comparison: Mount union vs Steubenville

  • The population in Steubenville is higher at 18,030, compared to 2,267 in Mount union.
  • The median age in Steubenville is higher at 37.0 years, compared to 34.8 years in Mount union.
  • Steubenville has a higher median income of $42,725, compared to $38,382 in Mount union.
  • In Steubenville, the percentage of married families is higher at 29.0%, compared to 25.0% in Mount union.
  • The poverty level is higher in Steubenville at 19%, compared to 12% in Mount union.
  • Steubenville has a higher unemployment rate at 6.2% compared to 4.2% in Mount union.

Demographics

Demographics Mount union vs Steubenville provide insight into the diversity of the communities to compare.

Demographic Mount union Steubenville
Black 8 14
White 87 74
Asian Data is updating 2
Hispanic 1 4
Two or More Races 4 6
American Indian Data is updating Data is updating

Demographics Comparison: Mount union vs Steubenville

  • In Steubenville, the percentage of Black residents is higher at 14% compared to 8% in Mount union.
  • Mount union has a higher percentage of White residents at 87% compared to 74% in Steubenville.
  • In Steubenville, the Asian population stands at 2%, greater than 0% in Mount union.
  • Steubenville has a higher percentage of Hispanic residents at 4%, compared to 1% in Mount union.
  • The percentage of residents identifying as two or more races is higher in Steubenville at 6%, compared to 4% in Mount union.
  • The percentage of American Indian residents is the same in both Mount union and Steubenville at 0%.

Health Statistics

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

Health Metric Mount union Steubenville
Mental Health Not Good 20.7% 20.9%
Physical Health Not Good 15.3% 15.0%
Depression 25.6% 25.5%
Smoking 26.4% 27.4%
Binge Drinking 16.4% 16.3%
Obesity 43.0% 45.0%
Disability Percentage 20.0% 18.0%

Health Statistics Comparison: Mount union vs Steubenville

  • In Steubenville, a higher percentage report poor mental health at 20.9% compared to 20.7% in Mount union.
  • Depression is more prevalent in Mount union at 25.6% compared to 25.5% in Steubenville.
  • Steubenville has a higher smoking rate at 27.4% compared to 26.4% in Mount union.
  • Binge drinking is more common in Mount union at 16.4% compared to 16.3% in Steubenville.
  • Steubenville has higher obesity rates at 45.0% compared to 43.0% in Mount union.
  • Disability percentages are higher in Mount union at 20.0% compared to 18.0% in Steubenville.

Education Levels

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

Education Level Mount union Steubenville
No Schooling 1.9% (43) 0.5% (93)
High School Diploma 28.5% (646) 22.6% (4,083)
Less than High School 16.3% (370) 9.9% (1,788)
Bachelor's Degree and Higher 6.3% (142) 18.9% (3,403)

Education Levels Comparison: Mount union vs Steubenville

  • A higher percentage of residents in Mount union have no formal schooling at 1.9% compared to 0.5% in Steubenville.
  • A higher percentage of residents in Mount union hold a high school diploma at 28.5% compared to 22.6% in Steubenville.
  • More residents in Mount union have less than a high school education at 16.3% compared to 9.9% in Steubenville.
  • In Steubenville, a larger share of residents have a bachelor's degree or higher at 18.9% compared to 6.3% in Mount union.

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.