Demographics details for Pleasant prairie, WI vs Gautier, MS

Population Overview

Compare main population characteristics in Pleasant prairie, WI vs Gautier, MS.

Data Pleasant prairie Gautier
Population 21,840 18,977
Median Age 43.1 years 40.4 years
Median Income $99,635 $57,757
Married Families 45.0% 38.0%
Poverty Level 4% 11%
Unemployment Rate 3.1 3.8

Population Comparison: Pleasant prairie vs Gautier

  • In Pleasant prairie, the population is higher at 21,840, compared to 18,977 in Gautier.
  • Residents in Pleasant prairie have a higher median age of 43.1 years compared to 40.4 years in Gautier.
  • Pleasant prairie has a higher median income of $99,635 compared to $57,757 in Gautier.
  • A higher percentage of married families is found in Pleasant prairie at 45.0% compared to 38.0% in Gautier.
  • The poverty level is higher in Gautier at 11%, compared to 4% in Pleasant prairie.
  • Gautier has a higher unemployment rate at 3.8% compared to 3.1% in Pleasant prairie.

Demographics

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

Demographic Pleasant prairie Gautier
Black 2 36
White 80 45
Asian 2 2
Hispanic 9 12
Two or More Races 7 4
American Indian Data is updating 1

Demographics Comparison: Pleasant prairie vs Gautier

  • In Gautier, the percentage of Black residents is higher at 36% compared to 2% in Pleasant prairie.
  • Pleasant prairie has a higher percentage of White residents at 80% compared to 45% in Gautier.
  • Both Pleasant prairie and Gautier have the same percentage of Asian residents at 2%.
  • Gautier has a higher percentage of Hispanic residents at 12%, compared to 9% in Pleasant prairie.
  • More residents identify as two or more races in Pleasant prairie at 7% compared to 4% in Gautier.
  • In Gautier, the percentage of American Indian residents is higher at 1%, compared to 0% in Pleasant prairie.

Health Statistics

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

Health Metric Pleasant prairie Gautier
Mental Health Not Good 13.9% 16.3%
Physical Health Not Good 9.0% 11.4%
Depression 22.8% 22.2%
Smoking 13.4% 17.6%
Binge Drinking 24.6% 15.1%
Obesity 34.6% 35.9%
Disability Percentage 11.0% 18.0%

Health Statistics Comparison: Pleasant prairie vs Gautier

  • In Gautier, a higher percentage report poor mental health at 16.3% compared to 13.9% in Pleasant prairie.
  • Depression is more prevalent in Pleasant prairie at 22.8% compared to 22.2% in Gautier.
  • Gautier has a higher smoking rate at 17.6% compared to 13.4% in Pleasant prairie.
  • Binge drinking is more common in Pleasant prairie at 24.6% compared to 15.1% in Gautier.
  • Gautier has higher obesity rates at 35.9% compared to 34.6% in Pleasant prairie.
  • There is a higher percentage of disabled individuals in Gautier at 18.0% 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 Gautier
No Schooling 0.6% (127) 1.6% (309)
High School Diploma 14.5% (3,170) 13.5% (2,553)
Less than High School 7.7% (1,688) 13.2% (2,502)
Bachelor's Degree and Higher 27.8% (6,082) 15.3% (2,898)

Education Levels Comparison: Pleasant prairie vs Gautier

  • In Gautier, a larger percentage of residents lack formal schooling at 1.6% compared to 0.6% in Pleasant prairie.
  • A higher percentage of residents in Pleasant prairie hold a high school diploma at 14.5% compared to 13.5% in Gautier.
  • The percentage of residents with less than a high school education is higher in Gautier at 13.2%, compared to 7.7% in Pleasant prairie.
  • A higher percentage of residents in Pleasant prairie hold a bachelor's degree or higher at 27.8% compared to 15.3% in Gautier.

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.