Demographics details for Onalaska, TX vs Sioux falls, SD

Population Overview

Compare main population characteristics in Onalaska, TX vs Sioux falls, SD.

Data Onalaska Sioux falls
Population 3,205 202,078
Median Age 45.2 years 34.9 years
Median Income $56,168 $71,785
Married Families 35.0% 37.0%
Poverty Level 12% 11%
Unemployment Rate 4.5 2.0

Population Comparison: Onalaska vs Sioux falls

  • The population in Sioux falls is higher at 202,078, compared to 3,205 in Onalaska.
  • Residents in Onalaska have a higher median age of 45.2 years compared to 34.9 years in Sioux falls.
  • Sioux falls has a higher median income of $71,785, compared to $56,168 in Onalaska.
  • In Sioux falls, the percentage of married families is higher at 37.0%, compared to 35.0% in Onalaska.
  • Onalaska has a higher poverty level at 12% compared to 11% in Sioux falls.
  • The unemployment rate in Onalaska is higher at 4.5%, compared to 2.0% in Sioux falls.

Demographics

Demographics Onalaska vs Sioux falls provide insight into the diversity of the communities to compare.

Demographic Onalaska Sioux falls
Black 1 7
White 91 78
Asian Data is updating 2
Hispanic 3 5
Two or More Races 5 6
American Indian Data is updating 2

Demographics Comparison: Onalaska vs Sioux falls

  • In Sioux falls, the percentage of Black residents is higher at 7% compared to 1% in Onalaska.
  • Onalaska has a higher percentage of White residents at 91% compared to 78% in Sioux falls.
  • In Sioux falls, the Asian population stands at 2%, greater than 0% in Onalaska.
  • Sioux falls has a higher percentage of Hispanic residents at 5%, compared to 3% in Onalaska.
  • The percentage of residents identifying as two or more races is higher in Sioux falls at 6%, compared to 5% in Onalaska.
  • In Sioux falls, the percentage of American Indian residents is higher at 2%, compared to 0% in Onalaska.

Health Statistics

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

Health Metric Onalaska Sioux falls
Mental Health Not Good 19.0% 13.3%
Physical Health Not Good 12.5% 8.8%
Depression 26.0% 19.4%
Smoking 20.4% 16.0%
Binge Drinking 19.4% 21.6%
Obesity 39.9% 35.8%
Disability Percentage 24.0% 9.0%

Health Statistics Comparison: Onalaska vs Sioux falls

  • More residents in Onalaska report poor mental health at 19.0% compared to 13.3% in Sioux falls.
  • Depression is more prevalent in Onalaska at 26.0% compared to 19.4% in Sioux falls.
  • Smoking is more prevalent in Onalaska at 20.4% compared to 16.0% in Sioux falls.
  • More residents engage in binge drinking in Sioux falls at 21.6% compared to 19.4% in Onalaska.
  • Obesity rates are higher in Onalaska at 39.9% compared to 35.8% in Sioux falls.
  • Disability percentages are higher in Onalaska at 24.0% compared to 9.0% in Sioux falls.

Education Levels

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

Education Level Onalaska Sioux falls
No Schooling 0.7% (21) 0.8% (1,619)
High School Diploma 15.3% (491) 13.1% (26,548)
Less than High School 21.5% (689) 7.3% (14,743)
Bachelor's Degree and Higher 5.0% (161) 23.3% (47,034)

Education Levels Comparison: Onalaska vs Sioux falls

  • In Sioux falls, a larger percentage of residents lack formal schooling at 0.8% compared to 0.7% in Onalaska.
  • A higher percentage of residents in Onalaska hold a high school diploma at 15.3% compared to 13.1% in Sioux falls.
  • More residents in Onalaska have less than a high school education at 21.5% compared to 7.3% in Sioux falls.
  • In Sioux falls, a larger share of residents have a bachelor's degree or higher at 23.3% compared to 5.0% in Onalaska.

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.