Demographics details for Pleasant prairie, WI vs West mifflin, PA

Population Overview

Compare main population characteristics in Pleasant prairie, WI vs West mifflin, PA.

Data Pleasant prairie West mifflin
Population 21,840 19,140
Median Age 43.1 years 45.2 years
Median Income $99,635 $64,314
Married Families 45.0% 38.0%
Poverty Level 4% 9%
Unemployment Rate 3.1 3.2

Population Comparison: Pleasant prairie vs West mifflin

  • In Pleasant prairie, the population is higher at 21,840, compared to 19,140 in West mifflin.
  • The median age in West mifflin is higher at 45.2 years, compared to 43.1 years in Pleasant prairie.
  • Pleasant prairie has a higher median income of $99,635 compared to $64,314 in West mifflin.
  • A higher percentage of married families is found in Pleasant prairie at 45.0% compared to 38.0% in West mifflin.
  • The poverty level is higher in West mifflin at 9%, compared to 4% in Pleasant prairie.
  • West mifflin has a higher unemployment rate at 3.2% compared to 3.1% in Pleasant prairie.

Demographics

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

Demographic Pleasant prairie West mifflin
Black 2 11
White 80 82
Asian 2 1
Hispanic 9 2
Two or More Races 7 4
American Indian Data is updating Data is updating

Demographics Comparison: Pleasant prairie vs West mifflin

  • In West mifflin, the percentage of Black residents is higher at 11% compared to 2% in Pleasant prairie.
  • The percentage of White residents is higher in West mifflin at 82% compared to 80% in Pleasant prairie.
  • The Asian population is larger in Pleasant prairie at 2% compared to 1% in West mifflin.
  • The Hispanic community is larger in Pleasant prairie at 9% compared to 2% in West mifflin.
  • More residents identify as two or more races in Pleasant prairie at 7% compared to 4% in West mifflin.
  • The percentage of American Indian residents is the same in both Pleasant prairie and West mifflin at 0%.

Health Statistics

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

Health Metric Pleasant prairie West mifflin
Mental Health Not Good 13.9% 17.0%
Physical Health Not Good 9.0% 11.6%
Depression 22.8% 23.0%
Smoking 13.4% 20.0%
Binge Drinking 24.6% 21.2%
Obesity 34.6% 33.9%
Disability Percentage 11.0% 17.0%

Health Statistics Comparison: Pleasant prairie vs West mifflin

  • In West mifflin, a higher percentage report poor mental health at 17.0% compared to 13.9% in Pleasant prairie.
  • Higher depression rates are seen in West mifflin at 23.0% versus 22.8% in Pleasant prairie.
  • West mifflin has a higher smoking rate at 20.0% compared to 13.4% in Pleasant prairie.
  • Binge drinking is more common in Pleasant prairie at 24.6% compared to 21.2% in West mifflin.
  • Obesity rates are higher in Pleasant prairie at 34.6% compared to 33.9% in West mifflin.
  • There is a higher percentage of disabled individuals in West mifflin at 17.0% compared to 11.0% in Pleasant prairie.

Education Levels

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

Education Level Pleasant prairie West mifflin
No Schooling 0.6% (127) 0.4% (75)
High School Diploma 14.5% (3,170) 25.5% (4,884)
Less than High School 7.7% (1,688) 7.2% (1,377)
Bachelor's Degree and Higher 27.8% (6,082) 16.7% (3,199)

Education Levels Comparison: Pleasant prairie vs West mifflin

  • A higher percentage of residents in Pleasant prairie have no formal schooling at 0.6% compared to 0.4% in West mifflin.
  • In West mifflin, the rate of residents with high school diplomas is higher at 25.5% compared to 14.5% in Pleasant prairie.
  • More residents in Pleasant prairie have less than a high school education at 7.7% compared to 7.2% in West mifflin.
  • A higher percentage of residents in Pleasant prairie hold a bachelor's degree or higher at 27.8% 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.