Demographics details for Ortonville, MI vs Mount pleasant, SC
Population Overview
Compare main population characteristics in Ortonville, MI vs Mount pleasant, SC.
Data | Ortonville | Mount pleasant |
---|---|---|
Population | 1,331 | 94,545 |
Median Age | 42.4 years | 42.4 years |
Median Income | $92,411 | $115,167 |
Married Families | 39.0% | 47.0% |
Poverty Level | 7% | 5% |
Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Ortonville vs Mount pleasant
- The population in Mount pleasant is higher at 94,545, compared to 1,331 in Ortonville.
- The median age is the same in both Ortonville and Mount pleasant at 42.4 years.
- Mount pleasant has a higher median income of $115,167, compared to $92,411 in Ortonville.
- In Mount pleasant, the percentage of married families is higher at 47.0%, compared to 39.0% in Ortonville.
- Ortonville has a higher poverty level at 7% compared to 5% in Mount pleasant.
- The unemployment rate in Ortonville is higher at 4.2%, compared to 3.2% in Mount pleasant.
Demographics
Demographics Ortonville vs Mount pleasant provide insight into the diversity of the communities to compare.
Demographic | Ortonville | Mount pleasant |
---|---|---|
Black | Data is updating | 4 |
White | 88 | 90 |
Asian | Data is updating | 2 |
Hispanic | 6 | 2 |
Two or More Races | 6 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ortonville vs Mount pleasant
- In Mount pleasant, the percentage of Black residents is higher at 4% compared to 0% in Ortonville.
- The percentage of White residents is higher in Mount pleasant at 90% compared to 88% in Ortonville.
- In Mount pleasant, the Asian population stands at 2%, greater than 0% in Ortonville.
- The Hispanic community is larger in Ortonville at 6% compared to 2% in Mount pleasant.
- More residents identify as two or more races in Ortonville at 6% compared to 2% in Mount pleasant.
- The percentage of American Indian residents is the same in both Ortonville and Mount pleasant at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ortonville | Mount pleasant |
---|---|---|
Mental Health Not Good | 17.6% | 13.7% |
Physical Health Not Good | 11.2% | 7.6% |
Depression | 24.2% | 19.5% |
Smoking | 18.3% | 9.8% |
Binge Drinking | 18.4% | 25.5% |
Obesity | 33.3% | 26.9% |
Disability Percentage | 8.0% | 6.0% |
Health Statistics Comparison: Ortonville vs Mount pleasant
- More residents in Ortonville report poor mental health at 17.6% compared to 13.7% in Mount pleasant.
- Depression is more prevalent in Ortonville at 24.2% compared to 19.5% in Mount pleasant.
- Smoking is more prevalent in Ortonville at 18.3% compared to 9.8% in Mount pleasant.
- More residents engage in binge drinking in Mount pleasant at 25.5% compared to 18.4% in Ortonville.
- Obesity rates are higher in Ortonville at 33.3% compared to 26.9% in Mount pleasant.
- Disability percentages are higher in Ortonville at 8.0% compared to 6.0% in Mount pleasant.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ortonville | Mount pleasant |
---|---|---|
No Schooling | 1.4% (18) | 0.3% (259) |
High School Diploma | 15.2% (202) | 5.8% (5,499) |
Less than High School | 8.9% (118) | 2.7% (2,577) |
Bachelor's Degree and Higher | 16.8% (223) | 46.2% (43,679) |
Education Levels Comparison: Ortonville vs Mount pleasant
- A higher percentage of residents in Ortonville have no formal schooling at 1.4% compared to 0.3% in Mount pleasant.
- A higher percentage of residents in Ortonville hold a high school diploma at 15.2% compared to 5.8% in Mount pleasant.
- More residents in Ortonville have less than a high school education at 8.9% compared to 2.7% in Mount pleasant.
- In Mount pleasant, a larger share of residents have a bachelor's degree or higher at 46.2% compared to 16.8% in Ortonville.
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.