Demographics details for West mifflin, PA vs Blue springs, MO

Population Overview

Compare main population characteristics in West mifflin, PA vs Blue springs, MO.

Data West mifflin Blue springs
Population 19,140 59,518
Median Age 45.2 years 36.6 years
Median Income $64,314 $82,965
Married Families 38.0% 42.0%
Poverty Level 9% 9%
Unemployment Rate 3.2 3.7

Population Comparison: West mifflin vs Blue springs

  • The population in Blue springs is higher at 59,518, compared to 19,140 in West mifflin.
  • Residents in West mifflin have a higher median age of 45.2 years compared to 36.6 years in Blue springs.
  • Blue springs has a higher median income of $82,965, compared to $64,314 in West mifflin.
  • In Blue springs, the percentage of married families is higher at 42.0%, compared to 38.0% in West mifflin.
  • The poverty level is identical in both West mifflin and Blue springs at 9%.
  • Blue springs has a higher unemployment rate at 3.7% compared to 3.2% in West mifflin.

Demographics

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

Demographic West mifflin Blue springs
Black 11 7
White 82 79
Asian 1 1
Hispanic 2 7
Two or More Races 4 6
American Indian Data is updating Data is updating

Demographics Comparison: West mifflin vs Blue springs

  • A higher percentage of Black residents are in West mifflin at 11% compared to 7% in Blue springs.
  • West mifflin has a higher percentage of White residents at 82% compared to 79% in Blue springs.
  • Both West mifflin and Blue springs have the same percentage of Asian residents at 1%.
  • Blue springs has a higher percentage of Hispanic residents at 7%, compared to 2% in West mifflin.
  • The percentage of residents identifying as two or more races is higher in Blue springs at 6%, compared to 4% in West mifflin.
  • The percentage of American Indian residents is the same in both West mifflin and Blue springs at 0%.

Health Statistics

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

Health Metric West mifflin Blue springs
Mental Health Not Good 17.0% 17.3%
Physical Health Not Good 11.6% 10.4%
Depression 23.0% 22.8%
Smoking 20.0% 15.6%
Binge Drinking 21.2% 21.5%
Obesity 33.9% 34.7%
Disability Percentage 17.0% 10.0%

Health Statistics Comparison: West mifflin vs Blue springs

  • In Blue springs, a higher percentage report poor mental health at 17.3% compared to 17.0% in West mifflin.
  • Depression is more prevalent in West mifflin at 23.0% compared to 22.8% in Blue springs.
  • Smoking is more prevalent in West mifflin at 20.0% compared to 15.6% in Blue springs.
  • More residents engage in binge drinking in Blue springs at 21.5% compared to 21.2% in West mifflin.
  • Blue springs has higher obesity rates at 34.7% compared to 33.9% in West mifflin.
  • Disability percentages are higher in West mifflin at 17.0% compared to 10.0% in Blue springs.

Education Levels

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

Education Level West mifflin Blue springs
No Schooling 0.4% (75) 0.3% (178)
High School Diploma 25.5% (4,884) 16.5% (9,835)
Less than High School 7.2% (1,377) 4.9% (2,932)
Bachelor's Degree and Higher 16.7% (3,199) 21.8% (12,992)

Education Levels Comparison: West mifflin vs Blue springs

  • A higher percentage of residents in West mifflin have no formal schooling at 0.4% compared to 0.3% in Blue springs.
  • A higher percentage of residents in West mifflin hold a high school diploma at 25.5% compared to 16.5% in Blue springs.
  • More residents in West mifflin have less than a high school education at 7.2% compared to 4.9% in Blue springs.
  • In Blue springs, a larger share of residents have a bachelor's degree or higher at 21.8% compared to 16.7% in West mifflin.

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.