Demographics details for Earl park, IN vs Pleasant prairie, WI

Population Overview

Compare main population characteristics in Earl park, IN vs Pleasant prairie, WI.

Data Earl park Pleasant prairie
Population 362 21,840
Median Age 50.6 years 43.1 years
Median Income $62,750 $99,635
Married Families 38.0% 45.0%
Poverty Level Data is updating 4%
Unemployment Rate 3.2 3.1

Population Comparison: Earl park vs Pleasant prairie

  • The population in Pleasant prairie is higher at 21,840, compared to 362 in Earl park.
  • Residents in Earl park have a higher median age of 50.6 years compared to 43.1 years in Pleasant prairie.
  • Pleasant prairie has a higher median income of $99,635, compared to $62,750 in Earl park.
  • In Pleasant prairie, the percentage of married families is higher at 45.0%, compared to 38.0% in Earl park.
  • The poverty level is higher in Pleasant prairie at 4%, compared to 0% in Earl park.
  • The unemployment rate in Earl park is higher at 3.2%, compared to 3.1% in Pleasant prairie.

Demographics

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

Demographic Earl park Pleasant prairie
Black 1 2
White 89 80
Asian Data is updating 2
Hispanic 4 9
Two or More Races 6 7
American Indian Data is updating Data is updating

Demographics Comparison: Earl park vs Pleasant prairie

  • In Pleasant prairie, the percentage of Black residents is higher at 2% compared to 1% in Earl park.
  • Earl park has a higher percentage of White residents at 89% compared to 80% in Pleasant prairie.
  • In Pleasant prairie, the Asian population stands at 2%, greater than 0% in Earl park.
  • Pleasant prairie has a higher percentage of Hispanic residents at 9%, compared to 4% in Earl park.
  • The percentage of residents identifying as two or more races is higher in Pleasant prairie at 7%, compared to 6% in Earl park.
  • The percentage of American Indian residents is the same in both Earl park and Pleasant prairie at 0%.

Health Statistics

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

Health Metric Earl park Pleasant prairie
Mental Health Not Good 19.1% 13.9%
Physical Health Not Good 13.8% 9.0%
Depression 28.0% 22.8%
Smoking 24.6% 13.4%
Binge Drinking 16.9% 24.6%
Obesity 41.7% 34.6%
Disability Percentage 21.0% 11.0%

Health Statistics Comparison: Earl park vs Pleasant prairie

  • More residents in Earl park report poor mental health at 19.1% compared to 13.9% in Pleasant prairie.
  • Depression is more prevalent in Earl park at 28.0% compared to 22.8% in Pleasant prairie.
  • Smoking is more prevalent in Earl park at 24.6% compared to 13.4% in Pleasant prairie.
  • More residents engage in binge drinking in Pleasant prairie at 24.6% compared to 16.9% in Earl park.
  • Obesity rates are higher in Earl park at 41.7% compared to 34.6% in Pleasant prairie.
  • Disability percentages are higher in Earl park at 21.0% 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 Earl park Pleasant prairie
No Schooling 0.0% (Data is updating) 0.6% (127)
High School Diploma 21.5% (78) 14.5% (3,170)
Less than High School 11.6% (42) 7.7% (1,688)
Bachelor's Degree and Higher 8.8% (32) 27.8% (6,082)

Education Levels Comparison: Earl park vs Pleasant prairie

  • In Pleasant prairie, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Earl park.
  • A higher percentage of residents in Earl park hold a high school diploma at 21.5% compared to 14.5% in Pleasant prairie.
  • More residents in Earl park have less than a high school education at 11.6% compared to 7.7% in Pleasant prairie.
  • In Pleasant prairie, a larger share of residents have a bachelor's degree or higher at 27.8% compared to 8.8% in Earl park.

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.