Demographics details for Pleasant prairie, WI vs Downey, CA

Population Overview

Compare main population characteristics in Pleasant prairie, WI vs Downey, CA.

Data Pleasant prairie Downey
Population 21,840 109,934
Median Age 43.1 years 36.5 years
Median Income $99,635 $84,236
Married Families 45.0% 36.0%
Poverty Level 4% 12%
Unemployment Rate 3.1 5.6

Population Comparison: Pleasant prairie vs Downey

  • The population in Downey is higher at 109,934, compared to 21,840 in Pleasant prairie.
  • Residents in Pleasant prairie have a higher median age of 43.1 years compared to 36.5 years in Downey.
  • Pleasant prairie has a higher median income of $99,635 compared to $84,236 in Downey.
  • A higher percentage of married families is found in Pleasant prairie at 45.0% compared to 36.0% in Downey.
  • The poverty level is higher in Downey at 12%, compared to 4% in Pleasant prairie.
  • Downey has a higher unemployment rate at 5.6% compared to 3.1% in Pleasant prairie.

Demographics

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

Demographic Pleasant prairie Downey
Black 2 4
White 80 -7
Asian 2 7
Hispanic 9 76
Two or More Races 7 19
American Indian Data is updating 1

Demographics Comparison: Pleasant prairie vs Downey

  • In Downey, the percentage of Black residents is higher at 4% compared to 2% in Pleasant prairie.
  • Pleasant prairie has a higher percentage of White residents at 80% compared to -7% in Downey.
  • In Downey, the Asian population stands at 7%, greater than 2% in Pleasant prairie.
  • Downey has a higher percentage of Hispanic residents at 76%, compared to 9% in Pleasant prairie.
  • The percentage of residents identifying as two or more races is higher in Downey at 19%, compared to 7% in Pleasant prairie.
  • In Downey, 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 Downey
Mental Health Not Good 13.9% 14.8%
Physical Health Not Good 9.0% 11.2%
Depression 22.8% 15.3%
Smoking 13.4% 9.9%
Binge Drinking 24.6% 15.6%
Obesity 34.6% 29.4%
Disability Percentage 11.0% 10.0%

Health Statistics Comparison: Pleasant prairie vs Downey

  • In Downey, a higher percentage report poor mental health at 14.8% compared to 13.9% in Pleasant prairie.
  • Depression is more prevalent in Pleasant prairie at 22.8% compared to 15.3% in Downey.
  • Smoking is more prevalent in Pleasant prairie at 13.4% compared to 9.9% in Downey.
  • Binge drinking is more common in Pleasant prairie at 24.6% compared to 15.6% in Downey.
  • Obesity rates are higher in Pleasant prairie at 34.6% compared to 29.4% in Downey.
  • Disability percentages are higher in Pleasant prairie at 11.0% compared to 10.0% in Downey.

Education Levels

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

Education Level Pleasant prairie Downey
No Schooling 0.6% (127) 3.2% (3,558)
High School Diploma 14.5% (3,170) 15.9% (17,437)
Less than High School 7.7% (1,688) 26.9% (29,528)
Bachelor's Degree and Higher 27.8% (6,082) 17.6% (19,359)

Education Levels Comparison: Pleasant prairie vs Downey

  • In Downey, a larger percentage of residents lack formal schooling at 3.2% compared to 0.6% in Pleasant prairie.
  • In Downey, the rate of residents with high school diplomas is higher at 15.9% compared to 14.5% in Pleasant prairie.
  • The percentage of residents with less than a high school education is higher in Downey at 26.9%, 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 17.6% in Downey.

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.