Demographics details for Sterling heights, MI vs Odessa, MO
Population Overview
Compare main population characteristics in Sterling heights, MI vs Odessa, MO.
Data | Sterling heights | Odessa |
---|---|---|
Population | 132,567 | 5,606 |
Median Age | 41.2 years | 40.0 years |
Median Income | $75,381 | $86,125 |
Married Families | 45.0% | 42.0% |
Poverty Level | 8% | 6% |
Unemployment Rate | 4.7 | 3.2 |
Population Comparison: Sterling heights vs Odessa
- In Sterling heights, the population is higher at 132,567, compared to 5,606 in Odessa.
- Residents in Sterling heights have a higher median age of 41.2 years compared to 40.0 years in Odessa.
- Odessa has a higher median income of $86,125, compared to $75,381 in Sterling heights.
- A higher percentage of married families is found in Sterling heights at 45.0% compared to 42.0% in Odessa.
- Sterling heights has a higher poverty level at 8% compared to 6% in Odessa.
- The unemployment rate in Sterling heights is higher at 4.7%, compared to 3.2% in Odessa.
Demographics
Demographics Sterling heights vs Odessa provide insight into the diversity of the communities to compare.
Demographic | Sterling heights | Odessa |
---|---|---|
Black | 6 | 1 |
White | 79 | 94 |
Asian | 9 | Data is updating |
Hispanic | 2 | 2 |
Two or More Races | 4 | 2 |
American Indian | Data is updating | 1 |
Demographics Comparison: Sterling heights vs Odessa
- A higher percentage of Black residents are in Sterling heights at 6% compared to 1% in Odessa.
- The percentage of White residents is higher in Odessa at 94% compared to 79% in Sterling heights.
- The Asian population is larger in Sterling heights at 9% compared to 0% in Odessa.
- The percentage of Hispanic residents is the same in both Sterling heights and Odessa at 2%.
- More residents identify as two or more races in Sterling heights at 4% compared to 2% in Odessa.
- In Odessa, the percentage of American Indian residents is higher at 1%, compared to 0% in Sterling heights.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sterling heights | Odessa |
---|---|---|
Mental Health Not Good | 17.8% | 17.5% |
Physical Health Not Good | 11.4% | 12.4% |
Depression | 25.5% | 24.4% |
Smoking | 19.8% | 21.6% |
Binge Drinking | 17.7% | 19.9% |
Obesity | 36.6% | 40.2% |
Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Sterling heights vs Odessa
- More residents in Sterling heights report poor mental health at 17.8% compared to 17.5% in Odessa.
- Depression is more prevalent in Sterling heights at 25.5% compared to 24.4% in Odessa.
- Odessa has a higher smoking rate at 21.6% compared to 19.8% in Sterling heights.
- More residents engage in binge drinking in Odessa at 19.9% compared to 17.7% in Sterling heights.
- Odessa has higher obesity rates at 40.2% compared to 36.6% in Sterling heights.
- Disability percentages are higher in Sterling heights at 13.0% compared to 12.0% in Odessa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sterling heights | Odessa |
---|---|---|
No Schooling | 2.4% (3,134) | 0.4% (20) |
High School Diploma | 18.8% (24,937) | 27.2% (1,526) |
Less than High School | 16.6% (22,008) | 8.6% (484) |
Bachelor's Degree and Higher | 22.3% (29,518) | 15.4% (861) |
Education Levels Comparison: Sterling heights vs Odessa
- A higher percentage of residents in Sterling heights have no formal schooling at 2.4% compared to 0.4% in Odessa.
- In Odessa, the rate of residents with high school diplomas is higher at 27.2% compared to 18.8% in Sterling heights.
- More residents in Sterling heights have less than a high school education at 16.6% compared to 8.6% in Odessa.
- A higher percentage of residents in Sterling heights hold a bachelor's degree or higher at 22.3% compared to 15.4% in Odessa.
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.