Demographics details for Taylorsville, UT vs White swan, WA

Population Overview

Compare main population characteristics in Taylorsville, UT vs White swan, WA.

Data Taylorsville White swan
Population 57,879 561
Median Age 33.7 years 24.5 years
Median Income $81,417 $51,667
Married Families 40.0% 13.0%
Poverty Level 9% 12%
Unemployment Rate 3.6 8.2

Population Comparison: Taylorsville vs White swan

  • In Taylorsville, the population is higher at 57,879, compared to 561 in White swan.
  • Residents in Taylorsville have a higher median age of 33.7 years compared to 24.5 years in White swan.
  • Taylorsville has a higher median income of $81,417 compared to $51,667 in White swan.
  • A higher percentage of married families is found in Taylorsville at 40.0% compared to 13.0% in White swan.
  • The poverty level is higher in White swan at 12%, compared to 9% in Taylorsville.
  • White swan has a higher unemployment rate at 8.2% compared to 3.6% in Taylorsville.

Demographics

Demographics Taylorsville vs White swan provide insight into the diversity of the communities to compare.

Demographic Taylorsville White swan
Black 1 Data is updating
White 57 -6
Asian 7 Data is updating
Hispanic 25 26
Two or More Races 9 10
American Indian 1 70

Demographics Comparison: Taylorsville vs White swan

  • A higher percentage of Black residents are in Taylorsville at 1% compared to 0% in White swan.
  • Taylorsville has a higher percentage of White residents at 57% compared to -6% in White swan.
  • The Asian population is larger in Taylorsville at 7% compared to 0% in White swan.
  • White swan has a higher percentage of Hispanic residents at 26%, compared to 25% in Taylorsville.
  • The percentage of residents identifying as two or more races is higher in White swan at 10%, compared to 9% in Taylorsville.
  • In White swan, the percentage of American Indian residents is higher at 70%, compared to 1% in Taylorsville.

Health Statistics

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

Health Metric Taylorsville White swan
Mental Health Not Good 18.8% 22.0%
Physical Health Not Good 11.4% 18.1%
Depression 27.2% 24.7%
Smoking 10.0% 26.0%
Binge Drinking 15.2% 15.8%
Obesity 32.0% 43.8%
Disability Percentage 12.0% 21.0%

Health Statistics Comparison: Taylorsville vs White swan

  • In White swan, a higher percentage report poor mental health at 22.0% compared to 18.8% in Taylorsville.
  • Depression is more prevalent in Taylorsville at 27.2% compared to 24.7% in White swan.
  • White swan has a higher smoking rate at 26.0% compared to 10.0% in Taylorsville.
  • More residents engage in binge drinking in White swan at 15.8% compared to 15.2% in Taylorsville.
  • White swan has higher obesity rates at 43.8% compared to 32.0% in Taylorsville.
  • There is a higher percentage of disabled individuals in White swan at 21.0% compared to 12.0% in Taylorsville.

Education Levels

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

Education Level Taylorsville White swan
No Schooling 1.2% (721) 0.0% (Data is updating)
High School Diploma 16.9% (9,799) 16.4% (92)
Less than High School 15.2% (8,775) 24.8% (139)
Bachelor's Degree and Higher 15.7% (9,066) 0.9% (5)

Education Levels Comparison: Taylorsville vs White swan

  • A higher percentage of residents in Taylorsville have no formal schooling at 1.2% compared to 0.0% in White swan.
  • A higher percentage of residents in Taylorsville hold a high school diploma at 16.9% compared to 16.4% in White swan.
  • The percentage of residents with less than a high school education is higher in White swan at 24.8%, compared to 15.2% in Taylorsville.
  • A higher percentage of residents in Taylorsville hold a bachelor's degree or higher at 15.7% compared to 0.9% in White swan.

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.