Demographics details for Otto, NC vs Mount pleasant, SC
Population Overview
Compare main population characteristics in Otto, NC vs Mount pleasant, SC.
| Data | Otto | Mount pleasant |
|---|---|---|
| Population | 1,000 | 94,545 |
| Median Age | 45.0 years | 42.4 years |
| Median Income | $50,000 | $115,167 |
| Married Families | 300.0% | 47.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Otto vs Mount pleasant
- The population in Mount pleasant is higher at 94,545, compared to 1,000 in Otto.
- Residents in Otto have a higher median age of 45.0 years compared to 42.4 years in Mount pleasant.
- Mount pleasant has a higher median income of $115,167, compared to $50,000 in Otto.
- A higher percentage of married families is found in Otto at 300.0% compared to 47.0% in Mount pleasant.
- Otto has a higher poverty level at 12% compared to 5% in Mount pleasant.
- The unemployment rate in Otto is higher at 4.5%, compared to 3.2% in Mount pleasant.
Demographics
Demographics Otto vs Mount pleasant provide insight into the diversity of the communities to compare.
| Demographic | Otto | Mount pleasant |
|---|---|---|
| Black | 5 | 4 |
| White | 95 | 90 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 2 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Otto vs Mount pleasant
- A higher percentage of Black residents are in Otto at 5% compared to 4% in Mount pleasant.
- Otto has a higher percentage of White residents at 95% compared to 90% in Mount pleasant.
- In Mount pleasant, the Asian population stands at 2%, greater than 0% in Otto.
- Mount pleasant has a higher percentage of Hispanic residents at 2%, compared to 0% in Otto.
- The percentage of residents identifying as two or more races is higher in Mount pleasant at 2%, compared to 0% in Otto.
- The percentage of American Indian residents is the same in both Otto and Mount pleasant at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Otto | Mount pleasant |
|---|---|---|
| Mental Health Not Good | Data is updating% | 13.7% |
| Physical Health Not Good | Data is updating% | 7.6% |
| Depression | Data is updating% | 19.5% |
| Smoking | Data is updating% | 9.8% |
| Binge Drinking | Data is updating% | 25.5% |
| Obesity | Data is updating% | 26.9% |
| Disability Percentage | Data is updating% | 6.0% |
Health Statistics Comparison: Otto vs Mount pleasant
- In Mount pleasant, a higher percentage report poor mental health at 13.7% compared to 0.0% in Otto.
- Higher depression rates are seen in Mount pleasant at 19.5% versus 0.0% in Otto.
- Mount pleasant has a higher smoking rate at 9.8% compared to 0.0% in Otto.
- More residents engage in binge drinking in Mount pleasant at 25.5% compared to 0.0% in Otto.
- Mount pleasant has higher obesity rates at 26.9% compared to 0.0% in Otto.
- There is a higher percentage of disabled individuals in Mount pleasant at 6.0% compared to 0.0% in Otto.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Otto | Mount pleasant |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (259) |
| High School Diploma | 0.0% (Data is updating) | 5.8% (5,499) |
| Less than High School | 0.0% (Data is updating) | 2.7% (2,577) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 46.2% (43,679) |
Education Levels Comparison: Otto vs Mount pleasant
- In Mount pleasant, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Otto.
- In Mount pleasant, the rate of residents with high school diplomas is higher at 5.8% compared to 0.0% in Otto.
- The percentage of residents with less than a high school education is higher in Mount pleasant at 2.7%, compared to 0.0% in Otto.
- In Mount pleasant, a larger share of residents have a bachelor's degree or higher at 46.2% compared to 0.0% in Otto.
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.