Demographics details for South milwaukee, WI vs Sikeston, MO

Population Overview

Compare main population characteristics in South milwaukee, WI vs Sikeston, MO.

Data South milwaukee Sikeston
Population 20,309 16,073
Median Age 41.6 years 37.3 years
Median Income $68,801 $47,464
Married Families 40.0% 36.0%
Poverty Level 6% 16%
Unemployment Rate 3.9 3.4

Population Comparison: South milwaukee vs Sikeston

  • In South milwaukee, the population is higher at 20,309, compared to 16,073 in Sikeston.
  • Residents in South milwaukee have a higher median age of 41.6 years compared to 37.3 years in Sikeston.
  • South milwaukee has a higher median income of $68,801 compared to $47,464 in Sikeston.
  • A higher percentage of married families is found in South milwaukee at 40.0% compared to 36.0% in Sikeston.
  • The poverty level is higher in Sikeston at 16%, compared to 6% in South milwaukee.
  • The unemployment rate in South milwaukee is higher at 3.9%, compared to 3.4% in Sikeston.

Demographics

Demographics South milwaukee vs Sikeston provide insight into the diversity of the communities to compare.

Demographic South milwaukee Sikeston
Black 2 25
White 76 65
Asian 1 Data is updating
Hispanic 12 3
Two or More Races 7 7
American Indian 2 Data is updating

Demographics Comparison: South milwaukee vs Sikeston

  • In Sikeston, the percentage of Black residents is higher at 25% compared to 2% in South milwaukee.
  • South milwaukee has a higher percentage of White residents at 76% compared to 65% in Sikeston.
  • The Asian population is larger in South milwaukee at 1% compared to 0% in Sikeston.
  • The Hispanic community is larger in South milwaukee at 12% compared to 3% in Sikeston.
  • Both South milwaukee and Sikeston have the same percentage of residents identifying as two or more races at 7%.
  • A greater percentage of American Indian residents live in South milwaukee at 2% compared to 0% in Sikeston.

Health Statistics

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

Health Metric South milwaukee Sikeston
Mental Health Not Good 16.4% 19.8%
Physical Health Not Good 10.5% 14.7%
Depression 25.2% 24.6%
Smoking 18.2% 23.9%
Binge Drinking 25.7% 15.8%
Obesity 35.3% 39.0%
Disability Percentage 15.0% 20.0%

Health Statistics Comparison: South milwaukee vs Sikeston

  • In Sikeston, a higher percentage report poor mental health at 19.8% compared to 16.4% in South milwaukee.
  • Depression is more prevalent in South milwaukee at 25.2% compared to 24.6% in Sikeston.
  • Sikeston has a higher smoking rate at 23.9% compared to 18.2% in South milwaukee.
  • Binge drinking is more common in South milwaukee at 25.7% compared to 15.8% in Sikeston.
  • Sikeston has higher obesity rates at 39.0% compared to 35.3% in South milwaukee.
  • There is a higher percentage of disabled individuals in Sikeston at 20.0% compared to 15.0% in South milwaukee.

Education Levels

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

Education Level South milwaukee Sikeston
No Schooling 0.8% (153) 0.5% (76)
High School Diploma 24.0% (4,866) 23.0% (3,696)
Less than High School 11.3% (2,285) 13.3% (2,142)
Bachelor's Degree and Higher 19.5% (3,959) 16.3% (2,619)

Education Levels Comparison: South milwaukee vs Sikeston

  • A higher percentage of residents in South milwaukee have no formal schooling at 0.8% compared to 0.5% in Sikeston.
  • A higher percentage of residents in South milwaukee hold a high school diploma at 24.0% compared to 23.0% in Sikeston.
  • The percentage of residents with less than a high school education is higher in Sikeston at 13.3%, compared to 11.3% in South milwaukee.
  • A higher percentage of residents in South milwaukee hold a bachelor's degree or higher at 19.5% compared to 16.3% in Sikeston.

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.