Demographics details for Sioux falls, SD vs Spring valley, IL

Population Overview

Compare main population characteristics in Sioux falls, SD vs Spring valley, IL.

Data Sioux falls Spring valley
Population 202,078 5,461
Median Age 34.9 years 43.4 years
Median Income $71,785 $60,861
Married Families 37.0% 40.0%
Poverty Level 11% 14%
Unemployment Rate 2.0 5.1

Population Comparison: Sioux falls vs Spring valley

  • In Sioux falls, the population is higher at 202,078, compared to 5,461 in Spring valley.
  • The median age in Spring valley is higher at 43.4 years, compared to 34.9 years in Sioux falls.
  • Sioux falls has a higher median income of $71,785 compared to $60,861 in Spring valley.
  • In Spring valley, the percentage of married families is higher at 40.0%, compared to 37.0% in Sioux falls.
  • The poverty level is higher in Spring valley at 14%, compared to 11% in Sioux falls.
  • Spring valley has a higher unemployment rate at 5.1% compared to 2.0% in Sioux falls.

Demographics

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

Demographic Sioux falls Spring valley
Black 7 2
White 78 72
Asian 2 Data is updating
Hispanic 5 23
Two or More Races 6 3
American Indian 2 Data is updating

Demographics Comparison: Sioux falls vs Spring valley

  • A higher percentage of Black residents are in Sioux falls at 7% compared to 2% in Spring valley.
  • Sioux falls has a higher percentage of White residents at 78% compared to 72% in Spring valley.
  • The Asian population is larger in Sioux falls at 2% compared to 0% in Spring valley.
  • Spring valley has a higher percentage of Hispanic residents at 23%, compared to 5% in Sioux falls.
  • More residents identify as two or more races in Sioux falls at 6% compared to 3% in Spring valley.
  • A greater percentage of American Indian residents live in Sioux falls at 2% compared to 0% in Spring valley.

Health Statistics

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

Health Metric Sioux falls Spring valley
Mental Health Not Good 13.3% 16.6%
Physical Health Not Good 8.8% 11.5%
Depression 19.4% 22.1%
Smoking 16.0% 17.9%
Binge Drinking 21.6% 17.7%
Obesity 35.8% 37.6%
Disability Percentage 9.0% 17.0%

Health Statistics Comparison: Sioux falls vs Spring valley

  • In Spring valley, a higher percentage report poor mental health at 16.6% compared to 13.3% in Sioux falls.
  • Higher depression rates are seen in Spring valley at 22.1% versus 19.4% in Sioux falls.
  • Spring valley has a higher smoking rate at 17.9% compared to 16.0% in Sioux falls.
  • Binge drinking is more common in Sioux falls at 21.6% compared to 17.7% in Spring valley.
  • Spring valley has higher obesity rates at 37.6% compared to 35.8% in Sioux falls.
  • There is a higher percentage of disabled individuals in Spring valley at 17.0% 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 Spring valley
No Schooling 0.8% (1,619) 1.6% (85)
High School Diploma 13.1% (26,548) 20.0% (1,092)
Less than High School 7.3% (14,743) 17.8% (970)
Bachelor's Degree and Higher 23.3% (47,034) 12.3% (669)

Education Levels Comparison: Sioux falls vs Spring valley

  • In Spring valley, a larger percentage of residents lack formal schooling at 1.6% compared to 0.8% in Sioux falls.
  • In Spring valley, the rate of residents with high school diplomas is higher at 20.0% compared to 13.1% in Sioux falls.
  • The percentage of residents with less than a high school education is higher in Spring valley at 17.8%, 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 12.3% in Spring valley.

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.