Demographics details for Sterling heights, MI vs Olathe, KS
Population Overview
Compare main population characteristics in Sterling heights, MI vs Olathe, KS.
Data | Sterling heights | Olathe |
---|---|---|
Population | 132,567 | 145,616 |
Median Age | 41.2 years | 36.3 years |
Median Income | $75,381 | $108,077 |
Married Families | 45.0% | 44.0% |
Poverty Level | 8% | 7% |
Unemployment Rate | 4.7 | 3.1 |
Population Comparison: Sterling heights vs Olathe
- The population in Olathe is higher at 145,616, compared to 132,567 in Sterling heights.
- Residents in Sterling heights have a higher median age of 41.2 years compared to 36.3 years in Olathe.
- Olathe has a higher median income of $108,077, compared to $75,381 in Sterling heights.
- A higher percentage of married families is found in Sterling heights at 45.0% compared to 44.0% in Olathe.
- Sterling heights has a higher poverty level at 8% compared to 7% in Olathe.
- The unemployment rate in Sterling heights is higher at 4.7%, compared to 3.1% in Olathe.
Demographics
Demographics Sterling heights vs Olathe provide insight into the diversity of the communities to compare.
Demographic | Sterling heights | Olathe |
---|---|---|
Black | 6 | 5 |
White | 79 | 73 |
Asian | 9 | 4 |
Hispanic | 2 | 11 |
Two or More Races | 4 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Sterling heights vs Olathe
- A higher percentage of Black residents are in Sterling heights at 6% compared to 5% in Olathe.
- Sterling heights has a higher percentage of White residents at 79% compared to 73% in Olathe.
- The Asian population is larger in Sterling heights at 9% compared to 4% in Olathe.
- Olathe has a higher percentage of Hispanic residents at 11%, compared to 2% in Sterling heights.
- The percentage of residents identifying as two or more races is higher in Olathe at 7%, compared to 4% in Sterling heights.
- The percentage of American Indian residents is the same in both Sterling heights and Olathe at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sterling heights | Olathe |
---|---|---|
Mental Health Not Good | 17.8% | 13.2% |
Physical Health Not Good | 11.4% | 7.9% |
Depression | 25.5% | 19.1% |
Smoking | 19.8% | 11.6% |
Binge Drinking | 17.7% | 19.7% |
Obesity | 36.6% | 30.4% |
Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Sterling heights vs Olathe
- More residents in Sterling heights report poor mental health at 17.8% compared to 13.2% in Olathe.
- Depression is more prevalent in Sterling heights at 25.5% compared to 19.1% in Olathe.
- Smoking is more prevalent in Sterling heights at 19.8% compared to 11.6% in Olathe.
- More residents engage in binge drinking in Olathe at 19.7% compared to 17.7% in Sterling heights.
- Obesity rates are higher in Sterling heights at 36.6% compared to 30.4% in Olathe.
- Disability percentages are higher in Sterling heights at 13.0% compared to 8.0% in Olathe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sterling heights | Olathe |
---|---|---|
No Schooling | 2.4% (3,134) | 0.4% (512) |
High School Diploma | 18.8% (24,937) | 9.0% (13,163) |
Less than High School | 16.6% (22,008) | 6.3% (9,124) |
Bachelor's Degree and Higher | 22.3% (29,518) | 32.3% (47,003) |
Education Levels Comparison: Sterling heights vs Olathe
- A higher percentage of residents in Sterling heights have no formal schooling at 2.4% compared to 0.4% in Olathe.
- A higher percentage of residents in Sterling heights hold a high school diploma at 18.8% compared to 9.0% in Olathe.
- More residents in Sterling heights have less than a high school education at 16.6% compared to 6.3% in Olathe.
- In Olathe, a larger share of residents have a bachelor's degree or higher at 32.3% 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.