Demographics details for Sioux falls, SD vs Woodward, OK

Population Overview

Compare main population characteristics in Sioux falls, SD vs Woodward, OK.

Data Sioux falls Woodward
Population 202,078 11,789
Median Age 34.9 years 35.1 years
Median Income $71,785 $54,864
Married Families 37.0% 35.0%
Poverty Level 11% 9%
Unemployment Rate 2.0 3.2

Population Comparison: Sioux falls vs Woodward

  • In Sioux falls, the population is higher at 202,078, compared to 11,789 in Woodward.
  • The median age in Woodward is higher at 35.1 years, compared to 34.9 years in Sioux falls.
  • Sioux falls has a higher median income of $71,785 compared to $54,864 in Woodward.
  • A higher percentage of married families is found in Sioux falls at 37.0% compared to 35.0% in Woodward.
  • Sioux falls has a higher poverty level at 11% compared to 9% in Woodward.
  • Woodward has a higher unemployment rate at 3.2% compared to 2.0% in Sioux falls.

Demographics

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

Demographic Sioux falls Woodward
Black 7 1
White 78 76
Asian 2 Data is updating
Hispanic 5 14
Two or More Races 6 7
American Indian 2 2

Demographics Comparison: Sioux falls vs Woodward

  • A higher percentage of Black residents are in Sioux falls at 7% compared to 1% in Woodward.
  • Sioux falls has a higher percentage of White residents at 78% compared to 76% in Woodward.
  • The Asian population is larger in Sioux falls at 2% compared to 0% in Woodward.
  • Woodward has a higher percentage of Hispanic residents at 14%, compared to 5% in Sioux falls.
  • The percentage of residents identifying as two or more races is higher in Woodward at 7%, compared to 6% in Sioux falls.
  • The percentage of American Indian residents is the same in both Sioux falls and Woodward at 2%.

Health Statistics

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

Health Metric Sioux falls Woodward
Mental Health Not Good 13.3% 17.8%
Physical Health Not Good 8.8% 12.2%
Depression 19.4% 26.0%
Smoking 16.0% 18.9%
Binge Drinking 21.6% 14.9%
Obesity 35.8% 42.6%
Disability Percentage 9.0% 21.0%

Health Statistics Comparison: Sioux falls vs Woodward

  • In Woodward, a higher percentage report poor mental health at 17.8% compared to 13.3% in Sioux falls.
  • Higher depression rates are seen in Woodward at 26.0% versus 19.4% in Sioux falls.
  • Woodward has a higher smoking rate at 18.9% compared to 16.0% in Sioux falls.
  • Binge drinking is more common in Sioux falls at 21.6% compared to 14.9% in Woodward.
  • Woodward has higher obesity rates at 42.6% compared to 35.8% in Sioux falls.
  • There is a higher percentage of disabled individuals in Woodward at 21.0% 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 Sioux falls Woodward
No Schooling 0.8% (1,619) 0.6% (75)
High School Diploma 13.1% (26,548) 24.1% (2,845)
Less than High School 7.3% (14,743) 17.3% (2,039)
Bachelor's Degree and Higher 23.3% (47,034) 13.0% (1,535)

Education Levels Comparison: Sioux falls vs Woodward

  • A higher percentage of residents in Sioux falls have no formal schooling at 0.8% compared to 0.6% in Woodward.
  • In Woodward, the rate of residents with high school diplomas is higher at 24.1% compared to 13.1% in Sioux falls.
  • The percentage of residents with less than a high school education is higher in Woodward at 17.3%, compared to 7.3% in Sioux falls.
  • A higher percentage of residents in Sioux falls hold a bachelor's degree or higher at 23.3% compared to 13.0% in Woodward.

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.