Demographics details for Bowman, SC vs Sterling heights, MI

Population Overview

Compare main population characteristics in Bowman, SC vs Sterling heights, MI.

Data Bowman Sterling heights
Population 769 132,567
Median Age 47.2 years 41.2 years
Median Income $33,250 $75,381
Married Families 21.0% 45.0%
Poverty Level 15% 8%
Unemployment Rate 5.0 4.7

Population Comparison: Bowman vs Sterling heights

  • The population in Sterling heights is higher at 132,567, compared to 769 in Bowman.
  • Residents in Bowman have a higher median age of 47.2 years compared to 41.2 years in Sterling heights.
  • Sterling heights has a higher median income of $75,381, compared to $33,250 in Bowman.
  • In Sterling heights, the percentage of married families is higher at 45.0%, compared to 21.0% in Bowman.
  • Bowman has a higher poverty level at 15% compared to 8% in Sterling heights.
  • The unemployment rate in Bowman is higher at 5.0%, compared to 4.7% in Sterling heights.

Demographics

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

Demographic Bowman Sterling heights
Black 66 6
White 33 79
Asian Data is updating 9
Hispanic Data is updating 2
Two or More Races 1 4
American Indian Data is updating Data is updating

Demographics Comparison: Bowman vs Sterling heights

  • A higher percentage of Black residents are in Bowman at 66% compared to 6% in Sterling heights.
  • The percentage of White residents is higher in Sterling heights at 79% compared to 33% in Bowman.
  • In Sterling heights, the Asian population stands at 9%, greater than 0% in Bowman.
  • Sterling heights has a higher percentage of Hispanic residents at 2%, compared to 0% in Bowman.
  • The percentage of residents identifying as two or more races is higher in Sterling heights at 4%, compared to 1% in Bowman.
  • The percentage of American Indian residents is the same in both Bowman and Sterling heights at 0%.

Health Statistics

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

Health Metric Bowman Sterling heights
Mental Health Not Good 18.7% 17.8%
Physical Health Not Good 13.9% 11.4%
Depression 19.3% 25.5%
Smoking 21.8% 19.8%
Binge Drinking 14.3% 17.7%
Obesity 43.7% 36.6%
Disability Percentage 17.0% 13.0%

Health Statistics Comparison: Bowman vs Sterling heights

  • More residents in Bowman report poor mental health at 18.7% compared to 17.8% in Sterling heights.
  • Higher depression rates are seen in Sterling heights at 25.5% versus 19.3% in Bowman.
  • Smoking is more prevalent in Bowman at 21.8% compared to 19.8% in Sterling heights.
  • More residents engage in binge drinking in Sterling heights at 17.7% compared to 14.3% in Bowman.
  • Obesity rates are higher in Bowman at 43.7% compared to 36.6% in Sterling heights.
  • Disability percentages are higher in Bowman at 17.0% 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 Bowman Sterling heights
No Schooling 0.0% (Data is updating) 2.4% (3,134)
High School Diploma 26.4% (203) 18.8% (24,937)
Less than High School 12.6% (97) 16.6% (22,008)
Bachelor's Degree and Higher 7.3% (56) 22.3% (29,518)

Education Levels Comparison: Bowman vs Sterling heights

  • In Sterling heights, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Bowman.
  • A higher percentage of residents in Bowman hold a high school diploma at 26.4% compared to 18.8% in Sterling heights.
  • The percentage of residents with less than a high school education is higher in Sterling heights at 16.6%, compared to 12.6% in Bowman.
  • In Sterling heights, a larger share of residents have a bachelor's degree or higher at 22.3% compared to 7.3% in Bowman.

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.