Demographics details for Pleasant prairie, WI vs Pulaski, VA

Population Overview

Compare main population characteristics in Pleasant prairie, WI vs Pulaski, VA.

Data Pleasant prairie Pulaski
Population 21,840 33,706
Median Age 43.1 years 47.2 years
Median Income $99,635 $59,740
Married Families 45.0% 43.0%
Poverty Level 4% 12%
Unemployment Rate 3.1 2.9

Population Comparison: Pleasant prairie vs Pulaski

  • The population in Pulaski is higher at 33,706, compared to 21,840 in Pleasant prairie.
  • The median age in Pulaski is higher at 47.2 years, compared to 43.1 years in Pleasant prairie.
  • Pleasant prairie has a higher median income of $99,635 compared to $59,740 in Pulaski.
  • A higher percentage of married families is found in Pleasant prairie at 45.0% compared to 43.0% in Pulaski.
  • The poverty level is higher in Pulaski at 12%, compared to 4% in Pleasant prairie.
  • The unemployment rate in Pleasant prairie is higher at 3.1%, compared to 2.9% in Pulaski.

Demographics

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

Demographic Pleasant prairie Pulaski
Black 2 5
White 80 90
Asian 2 1
Hispanic 9 2
Two or More Races 7 2
American Indian Data is updating Data is updating

Demographics Comparison: Pleasant prairie vs Pulaski

  • In Pulaski, the percentage of Black residents is higher at 5% compared to 2% in Pleasant prairie.
  • The percentage of White residents is higher in Pulaski at 90% compared to 80% in Pleasant prairie.
  • The Asian population is larger in Pleasant prairie at 2% compared to 1% in Pulaski.
  • The Hispanic community is larger in Pleasant prairie at 9% compared to 2% in Pulaski.
  • More residents identify as two or more races in Pleasant prairie at 7% compared to 2% in Pulaski.
  • The percentage of American Indian residents is the same in both Pleasant prairie and Pulaski at 0%.

Health Statistics

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

Health Metric Pleasant prairie Pulaski
Mental Health Not Good 13.9% 17.7%
Physical Health Not Good 9.0% 11.6%
Depression 22.8% 24.8%
Smoking 13.4% 18.5%
Binge Drinking 24.6% 18.2%
Obesity 34.6% 37.7%
Disability Percentage 11.0% 20.0%

Health Statistics Comparison: Pleasant prairie vs Pulaski

  • In Pulaski, a higher percentage report poor mental health at 17.7% compared to 13.9% in Pleasant prairie.
  • Higher depression rates are seen in Pulaski at 24.8% versus 22.8% in Pleasant prairie.
  • Pulaski has a higher smoking rate at 18.5% compared to 13.4% in Pleasant prairie.
  • Binge drinking is more common in Pleasant prairie at 24.6% compared to 18.2% in Pulaski.
  • Pulaski has higher obesity rates at 37.7% compared to 34.6% in Pleasant prairie.
  • There is a higher percentage of disabled individuals in Pulaski at 20.0% 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 Pulaski
No Schooling 0.6% (127) 1.0% (331)
High School Diploma 14.5% (3,170) 21.0% (7,088)
Less than High School 7.7% (1,688) 14.0% (4,706)
Bachelor's Degree and Higher 27.8% (6,082) 16.0% (5,382)

Education Levels Comparison: Pleasant prairie vs Pulaski

  • In Pulaski, a larger percentage of residents lack formal schooling at 1.0% compared to 0.6% in Pleasant prairie.
  • In Pulaski, the rate of residents with high school diplomas is higher at 21.0% compared to 14.5% in Pleasant prairie.
  • The percentage of residents with less than a high school education is higher in Pulaski at 14.0%, 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 16.0% in Pulaski.

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.