Demographics details for Pleasant prairie, WI vs Asheville, NC

Population Overview

Compare main population characteristics in Pleasant prairie, WI vs Asheville, NC.

Data Pleasant prairie Asheville
Population 21,840 93,776
Median Age 43.1 years 40.5 years
Median Income $99,635 $63,810
Married Families 45.0% 32.0%
Poverty Level 4% 14%
Unemployment Rate 3.1 3.4

Population Comparison: Pleasant prairie vs Asheville

  • The population in Asheville is higher at 93,776, compared to 21,840 in Pleasant prairie.
  • Residents in Pleasant prairie have a higher median age of 43.1 years compared to 40.5 years in Asheville.
  • Pleasant prairie has a higher median income of $99,635 compared to $63,810 in Asheville.
  • A higher percentage of married families is found in Pleasant prairie at 45.0% compared to 32.0% in Asheville.
  • The poverty level is higher in Asheville at 14%, compared to 4% in Pleasant prairie.
  • Asheville has a higher unemployment rate at 3.4% compared to 3.1% in Pleasant prairie.

Demographics

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

Demographic Pleasant prairie Asheville
Black 2 10
White 80 78
Asian 2 1
Hispanic 9 6
Two or More Races 7 5
American Indian Data is updating Data is updating

Demographics Comparison: Pleasant prairie vs Asheville

  • In Asheville, the percentage of Black residents is higher at 10% compared to 2% in Pleasant prairie.
  • Pleasant prairie has a higher percentage of White residents at 80% compared to 78% in Asheville.
  • The Asian population is larger in Pleasant prairie at 2% compared to 1% in Asheville.
  • The Hispanic community is larger in Pleasant prairie at 9% compared to 6% in Asheville.
  • More residents identify as two or more races in Pleasant prairie at 7% compared to 5% in Asheville.
  • The percentage of American Indian residents is the same in both Pleasant prairie and Asheville at 0%.

Health Statistics

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

Health Metric Pleasant prairie Asheville
Mental Health Not Good 13.9% 15.6%
Physical Health Not Good 9.0% 10.0%
Depression 22.8% 24.9%
Smoking 13.4% 14.2%
Binge Drinking 24.6% 18.6%
Obesity 34.6% 31.8%
Disability Percentage 11.0% 12.0%

Health Statistics Comparison: Pleasant prairie vs Asheville

  • In Asheville, a higher percentage report poor mental health at 15.6% compared to 13.9% in Pleasant prairie.
  • Higher depression rates are seen in Asheville at 24.9% versus 22.8% in Pleasant prairie.
  • Asheville has a higher smoking rate at 14.2% compared to 13.4% in Pleasant prairie.
  • Binge drinking is more common in Pleasant prairie at 24.6% compared to 18.6% in Asheville.
  • Obesity rates are higher in Pleasant prairie at 34.6% compared to 31.8% in Asheville.
  • There is a higher percentage of disabled individuals in Asheville at 12.0% 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 Asheville
No Schooling 0.6% (127) 0.6% (558)
High School Diploma 14.5% (3,170) 12.1% (11,316)
Less than High School 7.7% (1,688) 8.6% (8,074)
Bachelor's Degree and Higher 27.8% (6,082) 38.9% (36,494)

Education Levels Comparison: Pleasant prairie vs Asheville

  • The percentage of residents with no formal schooling is the same in both Pleasant prairie and Asheville at 0.6%.
  • A higher percentage of residents in Pleasant prairie hold a high school diploma at 14.5% compared to 12.1% in Asheville.
  • The percentage of residents with less than a high school education is higher in Asheville at 8.6%, compared to 7.7% in Pleasant prairie.
  • In Asheville, a larger share of residents have a bachelor's degree or higher at 38.9% 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.