Demographics details for Mount pleasant, SC vs Austin, PA
Population Overview
Compare main population characteristics in Mount pleasant, SC vs Austin, PA.
| Data | Mount pleasant | Austin |
|---|---|---|
| Population | 94,545 | 474 |
| Median Age | 42.4 years | 43.7 years |
| Median Income | $115,167 | $42,708 |
| Married Families | 47.0% | 56.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Mount pleasant vs Austin
- In Mount pleasant, the population is higher at 94,545, compared to 474 in Austin.
- The median age in Austin is higher at 43.7 years, compared to 42.4 years in Mount pleasant.
- Mount pleasant has a higher median income of $115,167 compared to $42,708 in Austin.
- In Austin, the percentage of married families is higher at 56.0%, compared to 47.0% in Mount pleasant.
- The poverty level is higher in Austin at 12%, compared to 5% in Mount pleasant.
- Austin has a higher unemployment rate at 4.5% compared to 3.2% in Mount pleasant.
Demographics
Demographics Mount pleasant vs Austin provide insight into the diversity of the communities to compare.
| Demographic | Mount pleasant | Austin |
|---|---|---|
| Black | 4 | Data is updating |
| White | 90 | 99 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 2 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount pleasant vs Austin
- A higher percentage of Black residents are in Mount pleasant at 4% compared to 0% in Austin.
- The percentage of White residents is higher in Austin at 99% compared to 90% in Mount pleasant.
- The Asian population is larger in Mount pleasant at 2% compared to 0% in Austin.
- The Hispanic community is larger in Mount pleasant at 2% compared to 0% in Austin.
- More residents identify as two or more races in Mount pleasant at 2% compared to 1% in Austin.
- The percentage of American Indian residents is the same in both Mount pleasant and Austin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pleasant | Austin |
|---|---|---|
| Mental Health Not Good | 13.7% | 18.0% |
| Physical Health Not Good | 7.6% | 12.3% |
| Depression | 19.5% | 25.0% |
| Smoking | 9.8% | 21.1% |
| Binge Drinking | 25.5% | 19.0% |
| Obesity | 26.9% | 38.4% |
| Disability Percentage | 6.0% | 27.0% |
Health Statistics Comparison: Mount pleasant vs Austin
- In Austin, a higher percentage report poor mental health at 18.0% compared to 13.7% in Mount pleasant.
- Higher depression rates are seen in Austin at 25.0% versus 19.5% in Mount pleasant.
- Austin has a higher smoking rate at 21.1% compared to 9.8% in Mount pleasant.
- Binge drinking is more common in Mount pleasant at 25.5% compared to 19.0% in Austin.
- Austin has higher obesity rates at 38.4% compared to 26.9% in Mount pleasant.
- There is a higher percentage of disabled individuals in Austin at 27.0% 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 | Mount pleasant | Austin |
|---|---|---|
| No Schooling | 0.3% (259) | 0.8% (4) |
| High School Diploma | 5.8% (5,499) | 41.4% (196) |
| Less than High School | 2.7% (2,577) | 17.3% (82) |
| Bachelor's Degree and Higher | 46.2% (43,679) | 5.3% (25) |
Education Levels Comparison: Mount pleasant vs Austin
- In Austin, a larger percentage of residents lack formal schooling at 0.8% compared to 0.3% in Mount pleasant.
- In Austin, the rate of residents with high school diplomas is higher at 41.4% compared to 5.8% in Mount pleasant.
- The percentage of residents with less than a high school education is higher in Austin at 17.3%, compared to 2.7% in Mount pleasant.
- A higher percentage of residents in Mount pleasant hold a bachelor's degree or higher at 46.2% compared to 5.3% in Austin.
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.