Demographics details for Sioux falls, SD vs Marseilles, IL

Population Overview

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

Data Sioux falls Marseilles
Population 202,078 5,094
Median Age 34.9 years 39.0 years
Median Income $71,785 $60,000
Married Families 37.0% 54.0%
Poverty Level 11% 10%
Unemployment Rate 2.0 5.0

Population Comparison: Sioux falls vs Marseilles

  • In Sioux falls, the population is higher at 202,078, compared to 5,094 in Marseilles.
  • The median age in Marseilles is higher at 39.0 years, compared to 34.9 years in Sioux falls.
  • Sioux falls has a higher median income of $71,785 compared to $60,000 in Marseilles.
  • In Marseilles, the percentage of married families is higher at 54.0%, compared to 37.0% in Sioux falls.
  • Sioux falls has a higher poverty level at 11% compared to 10% in Marseilles.
  • Marseilles has a higher unemployment rate at 5.0% compared to 2.0% in Sioux falls.

Demographics

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

Demographic Sioux falls Marseilles
Black 7 1
White 78 95
Asian 2 1
Hispanic 5 3
Two or More Races 6 Data is updating
American Indian 2 Data is updating

Demographics Comparison: Sioux falls vs Marseilles

  • A higher percentage of Black residents are in Sioux falls at 7% compared to 1% in Marseilles.
  • The percentage of White residents is higher in Marseilles at 95% compared to 78% in Sioux falls.
  • The Asian population is larger in Sioux falls at 2% compared to 1% in Marseilles.
  • The Hispanic community is larger in Sioux falls at 5% compared to 3% in Marseilles.
  • More residents identify as two or more races in Sioux falls at 6% compared to 0% in Marseilles.
  • A greater percentage of American Indian residents live in Sioux falls at 2% compared to 0% in Marseilles.

Health Statistics

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

Health Metric Sioux falls Marseilles
Mental Health Not Good 13.3% Data is updating%
Physical Health Not Good 8.8% Data is updating%
Depression 19.4% Data is updating%
Smoking 16.0% Data is updating%
Binge Drinking 21.6% Data is updating%
Obesity 35.8% Data is updating%
Disability Percentage 9.0% Data is updating%

Health Statistics Comparison: Sioux falls vs Marseilles

  • More residents in Sioux falls report poor mental health at 13.3% compared to 0.0% in Marseilles.
  • Depression is more prevalent in Sioux falls at 19.4% compared to 0.0% in Marseilles.
  • Smoking is more prevalent in Sioux falls at 16.0% compared to 0.0% in Marseilles.
  • Binge drinking is more common in Sioux falls at 21.6% compared to 0.0% in Marseilles.
  • Obesity rates are higher in Sioux falls at 35.8% compared to 0.0% in Marseilles.
  • Disability percentages are higher in Sioux falls at 9.0% compared to 0.0% in Marseilles.

Education Levels

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

Education Level Sioux falls Marseilles
No Schooling 0.8% (1,619) 0.0% (Data is updating)
High School Diploma 13.1% (26,548) 0.0% (Data is updating)
Less than High School 7.3% (14,743) 0.0% (Data is updating)
Bachelor's Degree and Higher 23.3% (47,034) 0.0% (Data is updating)

Education Levels Comparison: Sioux falls vs Marseilles

  • A higher percentage of residents in Sioux falls have no formal schooling at 0.8% compared to 0.0% in Marseilles.
  • A higher percentage of residents in Sioux falls hold a high school diploma at 13.1% compared to 0.0% in Marseilles.
  • More residents in Sioux falls have less than a high school education at 7.3% compared to 0.0% in Marseilles.
  • A higher percentage of residents in Sioux falls hold a bachelor's degree or higher at 23.3% compared to 0.0% in Marseilles.

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.