Demographics details for Sterling heights, MI vs Billings, MT

Population Overview

Compare main population characteristics in Sterling heights, MI vs Billings, MT.

Data Sterling heights Billings
Population 132,567 119,960
Median Age 41.2 years 37.7 years
Median Income $75,381 $69,692
Married Families 45.0% 37.0%
Poverty Level 8% 10%
Unemployment Rate 4.7 3.5

Population Comparison: Sterling heights vs Billings

  • In Sterling heights, the population is higher at 132,567, compared to 119,960 in Billings.
  • Residents in Sterling heights have a higher median age of 41.2 years compared to 37.7 years in Billings.
  • Sterling heights has a higher median income of $75,381 compared to $69,692 in Billings.
  • A higher percentage of married families is found in Sterling heights at 45.0% compared to 37.0% in Billings.
  • The poverty level is higher in Billings at 10%, compared to 8% in Sterling heights.
  • The unemployment rate in Sterling heights is higher at 4.7%, compared to 3.5% in Billings.

Demographics

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

Demographic Sterling heights Billings
Black 6 1
White 79 82
Asian 9 1
Hispanic 2 7
Two or More Races 4 5
American Indian Data is updating 4

Demographics Comparison: Sterling heights vs Billings

  • A higher percentage of Black residents are in Sterling heights at 6% compared to 1% in Billings.
  • The percentage of White residents is higher in Billings at 82% compared to 79% in Sterling heights.
  • The Asian population is larger in Sterling heights at 9% compared to 1% in Billings.
  • Billings has a higher percentage of Hispanic residents at 7%, compared to 2% in Sterling heights.
  • The percentage of residents identifying as two or more races is higher in Billings at 5%, compared to 4% in Sterling heights.
  • In Billings, the percentage of American Indian residents is higher at 4%, compared to 0% in Sterling heights.

Health Statistics

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

Health Metric Sterling heights Billings
Mental Health Not Good 17.8% 16.6%
Physical Health Not Good 11.4% 11.1%
Depression 25.5% 27.8%
Smoking 19.8% 16.1%
Binge Drinking 17.7% 22.9%
Obesity 36.6% 32.9%
Disability Percentage 13.0% 13.0%

Health Statistics Comparison: Sterling heights vs Billings

  • More residents in Sterling heights report poor mental health at 17.8% compared to 16.6% in Billings.
  • Higher depression rates are seen in Billings at 27.8% versus 25.5% in Sterling heights.
  • Smoking is more prevalent in Sterling heights at 19.8% compared to 16.1% in Billings.
  • More residents engage in binge drinking in Billings at 22.9% compared to 17.7% in Sterling heights.
  • Obesity rates are higher in Sterling heights at 36.6% compared to 32.9% in Billings.
  • Disability percentages are the same in both Sterling heights and Billings at 13.0%.

Education Levels

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

Education Level Sterling heights Billings
No Schooling 2.4% (3,134) 0.3% (321)
High School Diploma 18.8% (24,937) 14.7% (17,691)
Less than High School 16.6% (22,008) 5.4% (6,502)
Bachelor's Degree and Higher 22.3% (29,518) 24.8% (29,705)

Education Levels Comparison: Sterling heights vs Billings

  • A higher percentage of residents in Sterling heights have no formal schooling at 2.4% compared to 0.3% in Billings.
  • A higher percentage of residents in Sterling heights hold a high school diploma at 18.8% compared to 14.7% in Billings.
  • More residents in Sterling heights have less than a high school education at 16.6% compared to 5.4% in Billings.
  • In Billings, a larger share of residents have a bachelor's degree or higher at 24.8% compared to 22.3% in Sterling heights.

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.