Demographics details for West mifflin, PA vs Taylorsville, CA

Population Overview

Compare main population characteristics in West mifflin, PA vs Taylorsville, CA.

Data West mifflin Taylorsville
Population 19,140 27
Median Age 45.2 years 68.3 years
Median Income $64,314 $250,001
Married Families 38.0% 100.0%
Poverty Level 9% Data is updating
Unemployment Rate 3.2 6.2

Population Comparison: West mifflin vs Taylorsville

  • In West mifflin, the population is higher at 19,140, compared to 27 in Taylorsville.
  • The median age in Taylorsville is higher at 68.3 years, compared to 45.2 years in West mifflin.
  • Taylorsville has a higher median income of $250,001, compared to $64,314 in West mifflin.
  • In Taylorsville, the percentage of married families is higher at 100.0%, compared to 38.0% in West mifflin.
  • West mifflin has a higher poverty level at 9% compared to 0% in Taylorsville.
  • Taylorsville has a higher unemployment rate at 6.2% compared to 3.2% in West mifflin.

Demographics

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

Demographic West mifflin Taylorsville
Black 11 Data is updating
White 82 100
Asian 1 Data is updating
Hispanic 2 Data is updating
Two or More Races 4 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: West mifflin vs Taylorsville

  • A higher percentage of Black residents are in West mifflin at 11% compared to 0% in Taylorsville.
  • The percentage of White residents is higher in Taylorsville at 100% compared to 82% in West mifflin.
  • The Asian population is larger in West mifflin at 1% compared to 0% in Taylorsville.
  • The Hispanic community is larger in West mifflin at 2% compared to 0% in Taylorsville.
  • More residents identify as two or more races in West mifflin at 4% compared to 0% in Taylorsville.
  • The percentage of American Indian residents is the same in both West mifflin and Taylorsville at 0%.

Health Statistics

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

Health Metric West mifflin Taylorsville
Mental Health Not Good 17.0% 18.5%
Physical Health Not Good 11.6% 12.1%
Depression 23.0% 22.3%
Smoking 20.0% 16.5%
Binge Drinking 21.2% 18.2%
Obesity 33.9% 30.4%
Disability Percentage 17.0% 56.0%

Health Statistics Comparison: West mifflin vs Taylorsville

  • In Taylorsville, a higher percentage report poor mental health at 18.5% compared to 17.0% in West mifflin.
  • Depression is more prevalent in West mifflin at 23.0% compared to 22.3% in Taylorsville.
  • Smoking is more prevalent in West mifflin at 20.0% compared to 16.5% in Taylorsville.
  • Binge drinking is more common in West mifflin at 21.2% compared to 18.2% in Taylorsville.
  • Obesity rates are higher in West mifflin at 33.9% compared to 30.4% in Taylorsville.
  • There is a higher percentage of disabled individuals in Taylorsville at 56.0% compared to 17.0% in West mifflin.

Education Levels

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

Education Level West mifflin Taylorsville
No Schooling 0.4% (75) 0.0% (Data is updating)
High School Diploma 25.5% (4,884) 0.0% (Data is updating)
Less than High School 7.2% (1,377) 0.0% (Data is updating)
Bachelor's Degree and Higher 16.7% (3,199) 0.0% (Data is updating)

Education Levels Comparison: West mifflin vs Taylorsville

  • A higher percentage of residents in West mifflin have no formal schooling at 0.4% compared to 0.0% in Taylorsville.
  • A higher percentage of residents in West mifflin hold a high school diploma at 25.5% compared to 0.0% in Taylorsville.
  • More residents in West mifflin have less than a high school education at 7.2% compared to 0.0% in Taylorsville.
  • A higher percentage of residents in West mifflin hold a bachelor's degree or higher at 16.7% compared to 0.0% in Taylorsville.

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.