Demographics details for West mifflin, PA vs Waynesfield, OH

Population Overview

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

Data West mifflin Waynesfield
Population 19,140 736
Median Age 45.2 years 35.4 years
Median Income $64,314 $63,750
Married Families 38.0% 36.0%
Poverty Level 9% Data is updating
Unemployment Rate 3.2 4.5

Population Comparison: West mifflin vs Waynesfield

  • In West mifflin, the population is higher at 19,140, compared to 736 in Waynesfield.
  • Residents in West mifflin have a higher median age of 45.2 years compared to 35.4 years in Waynesfield.
  • West mifflin has a higher median income of $64,314 compared to $63,750 in Waynesfield.
  • A higher percentage of married families is found in West mifflin at 38.0% compared to 36.0% in Waynesfield.
  • West mifflin has a higher poverty level at 9% compared to 0% in Waynesfield.
  • Waynesfield has a higher unemployment rate at 4.5% compared to 3.2% in West mifflin.

Demographics

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

Demographic West mifflin Waynesfield
Black 11 1
White 82 91
Asian 1 Data is updating
Hispanic 2 3
Two or More Races 4 5
American Indian Data is updating Data is updating

Demographics Comparison: West mifflin vs Waynesfield

  • A higher percentage of Black residents are in West mifflin at 11% compared to 1% in Waynesfield.
  • The percentage of White residents is higher in Waynesfield at 91% compared to 82% in West mifflin.
  • The Asian population is larger in West mifflin at 1% compared to 0% in Waynesfield.
  • Waynesfield has a higher percentage of Hispanic residents at 3%, compared to 2% in West mifflin.
  • The percentage of residents identifying as two or more races is higher in Waynesfield at 5%, compared to 4% in West mifflin.
  • The percentage of American Indian residents is the same in both West mifflin and Waynesfield at 0%.

Health Statistics

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

Health Metric West mifflin Waynesfield
Mental Health Not Good 17.0% 17.3%
Physical Health Not Good 11.6% 11.4%
Depression 23.0% 23.2%
Smoking 20.0% 19.6%
Binge Drinking 21.2% 19.3%
Obesity 33.9% 37.4%
Disability Percentage 17.0% 7.0%

Health Statistics Comparison: West mifflin vs Waynesfield

  • In Waynesfield, a higher percentage report poor mental health at 17.3% compared to 17.0% in West mifflin.
  • Higher depression rates are seen in Waynesfield at 23.2% versus 23.0% in West mifflin.
  • Smoking is more prevalent in West mifflin at 20.0% compared to 19.6% in Waynesfield.
  • Binge drinking is more common in West mifflin at 21.2% compared to 19.3% in Waynesfield.
  • Waynesfield has higher obesity rates at 37.4% compared to 33.9% in West mifflin.
  • Disability percentages are higher in West mifflin at 17.0% compared to 7.0% in Waynesfield.

Education Levels

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

Education Level West mifflin Waynesfield
No Schooling 0.4% (75) 1.8% (13)
High School Diploma 25.5% (4,884) 24.3% (179)
Less than High School 7.2% (1,377) 9.8% (72)
Bachelor's Degree and Higher 16.7% (3,199) 10.2% (75)

Education Levels Comparison: West mifflin vs Waynesfield

  • In Waynesfield, a larger percentage of residents lack formal schooling at 1.8% compared to 0.4% in West mifflin.
  • A higher percentage of residents in West mifflin hold a high school diploma at 25.5% compared to 24.3% in Waynesfield.
  • The percentage of residents with less than a high school education is higher in Waynesfield at 9.8%, 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 10.2% in Waynesfield.

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.