Demographics details for Pleasant prairie, WI vs Woodstock, GA

Population Overview

Compare main population characteristics in Pleasant prairie, WI vs Woodstock, GA.

Data Pleasant prairie Woodstock
Population 21,840 37,350
Median Age 43.1 years 36.4 years
Median Income $99,635 $100,913
Married Families 45.0% 40.0%
Poverty Level 4% 5%
Unemployment Rate 3.1 3.4

Population Comparison: Pleasant prairie vs Woodstock

  • The population in Woodstock is higher at 37,350, compared to 21,840 in Pleasant prairie.
  • Residents in Pleasant prairie have a higher median age of 43.1 years compared to 36.4 years in Woodstock.
  • Woodstock has a higher median income of $100,913, compared to $99,635 in Pleasant prairie.
  • A higher percentage of married families is found in Pleasant prairie at 45.0% compared to 40.0% in Woodstock.
  • The poverty level is higher in Woodstock at 5%, compared to 4% in Pleasant prairie.
  • Woodstock has a higher unemployment rate at 3.4% compared to 3.1% in Pleasant prairie.

Demographics

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

Demographic Pleasant prairie Woodstock
Black 2 11
White 80 69
Asian 2 3
Hispanic 9 9
Two or More Races 7 8
American Indian Data is updating Data is updating

Demographics Comparison: Pleasant prairie vs Woodstock

  • In Woodstock, the percentage of Black residents is higher at 11% compared to 2% in Pleasant prairie.
  • Pleasant prairie has a higher percentage of White residents at 80% compared to 69% in Woodstock.
  • In Woodstock, the Asian population stands at 3%, greater than 2% in Pleasant prairie.
  • The percentage of Hispanic residents is the same in both Pleasant prairie and Woodstock at 9%.
  • The percentage of residents identifying as two or more races is higher in Woodstock at 8%, compared to 7% in Pleasant prairie.
  • The percentage of American Indian residents is the same in both Pleasant prairie and Woodstock at 0%.

Health Statistics

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

Health Metric Pleasant prairie Woodstock
Mental Health Not Good 13.9% 14.1%
Physical Health Not Good 9.0% 9.4%
Depression 22.8% 20.8%
Smoking 13.4% 12.1%
Binge Drinking 24.6% 16.5%
Obesity 34.6% 30.2%
Disability Percentage 11.0% 9.0%

Health Statistics Comparison: Pleasant prairie vs Woodstock

  • In Woodstock, a higher percentage report poor mental health at 14.1% compared to 13.9% in Pleasant prairie.
  • Depression is more prevalent in Pleasant prairie at 22.8% compared to 20.8% in Woodstock.
  • Smoking is more prevalent in Pleasant prairie at 13.4% compared to 12.1% in Woodstock.
  • Binge drinking is more common in Pleasant prairie at 24.6% compared to 16.5% in Woodstock.
  • Obesity rates are higher in Pleasant prairie at 34.6% compared to 30.2% in Woodstock.
  • Disability percentages are higher in Pleasant prairie at 11.0% compared to 9.0% in Woodstock.

Education Levels

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

Education Level Pleasant prairie Woodstock
No Schooling 0.6% (127) 0.3% (107)
High School Diploma 14.5% (3,170) 8.2% (3,052)
Less than High School 7.7% (1,688) 3.7% (1,375)
Bachelor's Degree and Higher 27.8% (6,082) 32.9% (12,290)

Education Levels Comparison: Pleasant prairie vs Woodstock

  • A higher percentage of residents in Pleasant prairie have no formal schooling at 0.6% compared to 0.3% in Woodstock.
  • A higher percentage of residents in Pleasant prairie hold a high school diploma at 14.5% compared to 8.2% in Woodstock.
  • More residents in Pleasant prairie have less than a high school education at 7.7% compared to 3.7% in Woodstock.
  • In Woodstock, a larger share of residents have a bachelor's degree or higher at 32.9% 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.