Demographics details for Draper, UT vs Pleasant prairie, WI

Population Overview

Compare main population characteristics in Draper, UT vs Pleasant prairie, WI.

Data Draper Pleasant prairie
Population 50,731 21,840
Median Age 33.6 years 43.1 years
Median Income $126,041 $99,635
Married Families 45.0% 45.0%
Poverty Level Data is updating 4%
Unemployment Rate 4.0 3.1

Population Comparison: Draper vs Pleasant prairie

  • In Draper, the population is higher at 50,731, compared to 21,840 in Pleasant prairie.
  • The median age in Pleasant prairie is higher at 43.1 years, compared to 33.6 years in Draper.
  • Draper has a higher median income of $126,041 compared to $99,635 in Pleasant prairie.
  • The percentage of married families is the same in both Draper and Pleasant prairie at 45.0%.
  • The poverty level is higher in Pleasant prairie at 4%, compared to 0% in Draper.
  • The unemployment rate in Draper is higher at 4.0%, compared to 3.1% in Pleasant prairie.

Demographics

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

Demographic Draper Pleasant prairie
Black 2 2
White 81 80
Asian 4 2
Hispanic 7 9
Two or More Races 6 7
American Indian Data is updating Data is updating

Demographics Comparison: Draper vs Pleasant prairie

  • The percentage of Black residents is the same in both Draper and Pleasant prairie at 2%.
  • Draper has a higher percentage of White residents at 81% compared to 80% in Pleasant prairie.
  • The Asian population is larger in Draper at 4% compared to 2% in Pleasant prairie.
  • Pleasant prairie has a higher percentage of Hispanic residents at 9%, compared to 7% in Draper.
  • The percentage of residents identifying as two or more races is higher in Pleasant prairie at 7%, compared to 6% in Draper.
  • The percentage of American Indian residents is the same in both Draper and Pleasant prairie at 0%.

Health Statistics

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

Health Metric Draper Pleasant prairie
Mental Health Not Good 16.0% 13.9%
Physical Health Not Good 8.7% 9.0%
Depression 25.3% 22.8%
Smoking 7.1% 13.4%
Binge Drinking 16.7% 24.6%
Obesity 28.2% 34.6%
Disability Percentage 6.0% 11.0%

Health Statistics Comparison: Draper vs Pleasant prairie

  • More residents in Draper report poor mental health at 16.0% compared to 13.9% in Pleasant prairie.
  • Depression is more prevalent in Draper at 25.3% compared to 22.8% in Pleasant prairie.
  • Pleasant prairie has a higher smoking rate at 13.4% compared to 7.1% in Draper.
  • More residents engage in binge drinking in Pleasant prairie at 24.6% compared to 16.7% in Draper.
  • Pleasant prairie has higher obesity rates at 34.6% compared to 28.2% in Draper.
  • There is a higher percentage of disabled individuals in Pleasant prairie at 11.0% compared to 6.0% in Draper.

Education Levels

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

Education Level Draper Pleasant prairie
No Schooling 0.7% (347) 0.6% (127)
High School Diploma 7.4% (3,771) 14.5% (3,170)
Less than High School 4.1% (2,077) 7.7% (1,688)
Bachelor's Degree and Higher 30.1% (15,258) 27.8% (6,082)

Education Levels Comparison: Draper vs Pleasant prairie

  • A higher percentage of residents in Draper have no formal schooling at 0.7% compared to 0.6% in Pleasant prairie.
  • In Pleasant prairie, the rate of residents with high school diplomas is higher at 14.5% compared to 7.4% in Draper.
  • The percentage of residents with less than a high school education is higher in Pleasant prairie at 7.7%, compared to 4.1% in Draper.
  • A higher percentage of residents in Draper hold a bachelor's degree or higher at 30.1% compared to 27.8% in Pleasant prairie.

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.