Demographics details for Running springs, CA vs Pleasant prairie, WI

Population Overview

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

Data Running springs Pleasant prairie
Population 4,589 21,840
Median Age 37.9 years 43.1 years
Median Income $84,060 $99,635
Married Families 45.0% 45.0%
Poverty Level 9% 4%
Unemployment Rate 3.5 3.1

Population Comparison: Running springs vs Pleasant prairie

  • The population in Pleasant prairie is higher at 21,840, compared to 4,589 in Running springs.
  • The median age in Pleasant prairie is higher at 43.1 years, compared to 37.9 years in Running springs.
  • Pleasant prairie has a higher median income of $99,635, compared to $84,060 in Running springs.
  • The percentage of married families is the same in both Running springs and Pleasant prairie at 45.0%.
  • Running springs has a higher poverty level at 9% compared to 4% in Pleasant prairie.
  • The unemployment rate in Running springs is higher at 3.5%, compared to 3.1% in Pleasant prairie.

Demographics

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

Demographic Running springs Pleasant prairie
Black Data is updating 2
White 66 80
Asian 3 2
Hispanic 19 9
Two or More Races 10 7
American Indian 2 Data is updating

Demographics Comparison: Running springs vs Pleasant prairie

  • In Pleasant prairie, the percentage of Black residents is higher at 2% compared to 0% in Running springs.
  • The percentage of White residents is higher in Pleasant prairie at 80% compared to 66% in Running springs.
  • The Asian population is larger in Running springs at 3% compared to 2% in Pleasant prairie.
  • The Hispanic community is larger in Running springs at 19% compared to 9% in Pleasant prairie.
  • More residents identify as two or more races in Running springs at 10% compared to 7% in Pleasant prairie.
  • A greater percentage of American Indian residents live in Running springs at 2% compared to 0% in Pleasant prairie.

Health Statistics

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

Health Metric Running springs Pleasant prairie
Mental Health Not Good 16.7% 13.9%
Physical Health Not Good 10.7% 9.0%
Depression 20.6% 22.8%
Smoking 12.1% 13.4%
Binge Drinking 18.1% 24.6%
Obesity 35.1% 34.6%
Disability Percentage 11.0% 11.0%

Health Statistics Comparison: Running springs vs Pleasant prairie

  • More residents in Running springs report poor mental health at 16.7% compared to 13.9% in Pleasant prairie.
  • Higher depression rates are seen in Pleasant prairie at 22.8% versus 20.6% in Running springs.
  • Pleasant prairie has a higher smoking rate at 13.4% compared to 12.1% in Running springs.
  • More residents engage in binge drinking in Pleasant prairie at 24.6% compared to 18.1% in Running springs.
  • Obesity rates are higher in Running springs at 35.1% compared to 34.6% in Pleasant prairie.
  • Disability percentages are the same in both Running springs and Pleasant prairie at 11.0%.

Education Levels

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

Education Level Running springs Pleasant prairie
No Schooling 0.0% (Data is updating) 0.6% (127)
High School Diploma 9.9% (453) 14.5% (3,170)
Less than High School 8.4% (387) 7.7% (1,688)
Bachelor's Degree and Higher 23.6% (1,082) 27.8% (6,082)

Education Levels Comparison: Running springs vs Pleasant prairie

  • In Pleasant prairie, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Running springs.
  • In Pleasant prairie, the rate of residents with high school diplomas is higher at 14.5% compared to 9.9% in Running springs.
  • More residents in Running springs have less than a high school education at 8.4% 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 23.6% in Running springs.

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.