Demographics details for West mifflin, PA vs Wapakoneta, OH

Population Overview

Compare main population characteristics in West mifflin, PA vs Wapakoneta, OH.

Data West mifflin Wapakoneta
Population 19,140 9,776
Median Age 45.2 years 41.6 years
Median Income $64,314 $63,008
Married Families 38.0% 42.0%
Poverty Level 9% 10%
Unemployment Rate 3.2 4.5

Population Comparison: West mifflin vs Wapakoneta

  • In West mifflin, the population is higher at 19,140, compared to 9,776 in Wapakoneta.
  • Residents in West mifflin have a higher median age of 45.2 years compared to 41.6 years in Wapakoneta.
  • West mifflin has a higher median income of $64,314 compared to $63,008 in Wapakoneta.
  • In Wapakoneta, the percentage of married families is higher at 42.0%, compared to 38.0% in West mifflin.
  • The poverty level is higher in Wapakoneta at 10%, compared to 9% in West mifflin.
  • Wapakoneta has a higher unemployment rate at 4.5% compared to 3.2% in West mifflin.

Demographics

Demographics West mifflin vs Wapakoneta provide insight into the diversity of the communities to compare.

Demographic West mifflin Wapakoneta
Black 11 1
White 82 89
Asian 1 Data is updating
Hispanic 2 5
Two or More Races 4 5
American Indian Data is updating Data is updating

Demographics Comparison: West mifflin vs Wapakoneta

  • A higher percentage of Black residents are in West mifflin at 11% compared to 1% in Wapakoneta.
  • The percentage of White residents is higher in Wapakoneta at 89% compared to 82% in West mifflin.
  • The Asian population is larger in West mifflin at 1% compared to 0% in Wapakoneta.
  • Wapakoneta has a higher percentage of Hispanic residents at 5%, compared to 2% in West mifflin.
  • The percentage of residents identifying as two or more races is higher in Wapakoneta at 5%, compared to 4% in West mifflin.
  • The percentage of American Indian residents is the same in both West mifflin and Wapakoneta at 0%.

Health Statistics

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

Health Metric West mifflin Wapakoneta
Mental Health Not Good 17.0% 18.1%
Physical Health Not Good 11.6% 12.3%
Depression 23.0% 23.8%
Smoking 20.0% 21.3%
Binge Drinking 21.2% 18.8%
Obesity 33.9% 38.8%
Disability Percentage 17.0% 13.0%

Health Statistics Comparison: West mifflin vs Wapakoneta

  • In Wapakoneta, a higher percentage report poor mental health at 18.1% compared to 17.0% in West mifflin.
  • Higher depression rates are seen in Wapakoneta at 23.8% versus 23.0% in West mifflin.
  • Wapakoneta has a higher smoking rate at 21.3% compared to 20.0% in West mifflin.
  • Binge drinking is more common in West mifflin at 21.2% compared to 18.8% in Wapakoneta.
  • Wapakoneta has higher obesity rates at 38.8% compared to 33.9% in West mifflin.
  • Disability percentages are higher in West mifflin at 17.0% compared to 13.0% in Wapakoneta.

Education Levels

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

Education Level West mifflin Wapakoneta
No Schooling 0.4% (75) 0.1% (9)
High School Diploma 25.5% (4,884) 26.9% (2,625)
Less than High School 7.2% (1,377) 11.8% (1,157)
Bachelor's Degree and Higher 16.7% (3,199) 14.0% (1,364)

Education Levels Comparison: West mifflin vs Wapakoneta

  • A higher percentage of residents in West mifflin have no formal schooling at 0.4% compared to 0.1% in Wapakoneta.
  • In Wapakoneta, the rate of residents with high school diplomas is higher at 26.9% compared to 25.5% in West mifflin.
  • The percentage of residents with less than a high school education is higher in Wapakoneta at 11.8%, compared to 7.2% in West mifflin.
  • A higher percentage of residents in West mifflin hold a bachelor's degree or higher at 16.7% compared to 14.0% in Wapakoneta.

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.