Demographics details for Sterling heights, MI vs Sikeston, MO

Population Overview

Compare main population characteristics in Sterling heights, MI vs Sikeston, MO.

Data Sterling heights Sikeston
Population 132,567 16,073
Median Age 41.2 years 37.3 years
Median Income $75,381 $47,464
Married Families 45.0% 36.0%
Poverty Level 8% 16%
Unemployment Rate 4.7 3.4

Population Comparison: Sterling heights vs Sikeston

  • In Sterling heights, the population is higher at 132,567, compared to 16,073 in Sikeston.
  • Residents in Sterling heights have a higher median age of 41.2 years compared to 37.3 years in Sikeston.
  • Sterling heights has a higher median income of $75,381 compared to $47,464 in Sikeston.
  • A higher percentage of married families is found in Sterling heights at 45.0% compared to 36.0% in Sikeston.
  • The poverty level is higher in Sikeston at 16%, compared to 8% in Sterling heights.
  • The unemployment rate in Sterling heights is higher at 4.7%, compared to 3.4% in Sikeston.

Demographics

Demographics Sterling heights vs Sikeston provide insight into the diversity of the communities to compare.

Demographic Sterling heights Sikeston
Black 6 25
White 79 65
Asian 9 Data is updating
Hispanic 2 3
Two or More Races 4 7
American Indian Data is updating Data is updating

Demographics Comparison: Sterling heights vs Sikeston

  • In Sikeston, the percentage of Black residents is higher at 25% compared to 6% in Sterling heights.
  • Sterling heights has a higher percentage of White residents at 79% compared to 65% in Sikeston.
  • The Asian population is larger in Sterling heights at 9% compared to 0% in Sikeston.
  • Sikeston has a higher percentage of Hispanic residents at 3%, compared to 2% in Sterling heights.
  • The percentage of residents identifying as two or more races is higher in Sikeston at 7%, compared to 4% in Sterling heights.
  • The percentage of American Indian residents is the same in both Sterling heights and Sikeston at 0%.

Health Statistics

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

Health Metric Sterling heights Sikeston
Mental Health Not Good 17.8% 19.8%
Physical Health Not Good 11.4% 14.7%
Depression 25.5% 24.6%
Smoking 19.8% 23.9%
Binge Drinking 17.7% 15.8%
Obesity 36.6% 39.0%
Disability Percentage 13.0% 20.0%

Health Statistics Comparison: Sterling heights vs Sikeston

  • In Sikeston, a higher percentage report poor mental health at 19.8% compared to 17.8% in Sterling heights.
  • Depression is more prevalent in Sterling heights at 25.5% compared to 24.6% in Sikeston.
  • Sikeston has a higher smoking rate at 23.9% compared to 19.8% in Sterling heights.
  • Binge drinking is more common in Sterling heights at 17.7% compared to 15.8% in Sikeston.
  • Sikeston has higher obesity rates at 39.0% compared to 36.6% in Sterling heights.
  • There is a higher percentage of disabled individuals in Sikeston at 20.0% compared to 13.0% in Sterling heights.

Education Levels

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

Education Level Sterling heights Sikeston
No Schooling 2.4% (3,134) 0.5% (76)
High School Diploma 18.8% (24,937) 23.0% (3,696)
Less than High School 16.6% (22,008) 13.3% (2,142)
Bachelor's Degree and Higher 22.3% (29,518) 16.3% (2,619)

Education Levels Comparison: Sterling heights vs Sikeston

  • A higher percentage of residents in Sterling heights have no formal schooling at 2.4% compared to 0.5% in Sikeston.
  • In Sikeston, the rate of residents with high school diplomas is higher at 23.0% compared to 18.8% in Sterling heights.
  • More residents in Sterling heights have less than a high school education at 16.6% compared to 13.3% in Sikeston.
  • A higher percentage of residents in Sterling heights hold a bachelor's degree or higher at 22.3% 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.