Demographics details for Scandia, KS vs Mount pleasant, SC
Population Overview
Compare main population characteristics in Scandia, KS vs Mount pleasant, SC.
| Data | Scandia | Mount pleasant |
|---|---|---|
| Population | 338 | 94,545 |
| Median Age | 48.6 years | 42.4 years |
| Median Income | $49,219 | $115,167 |
| Married Families | 34.0% | 47.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 3.4 | 3.2 |
Population Comparison: Scandia vs Mount pleasant
- The population in Mount pleasant is higher at 94,545, compared to 338 in Scandia.
- Residents in Scandia have a higher median age of 48.6 years compared to 42.4 years in Mount pleasant.
- Mount pleasant has a higher median income of $115,167, compared to $49,219 in Scandia.
- In Mount pleasant, the percentage of married families is higher at 47.0%, compared to 34.0% in Scandia.
- Scandia has a higher poverty level at 15% compared to 5% in Mount pleasant.
- The unemployment rate in Scandia is higher at 3.4%, compared to 3.2% in Mount pleasant.
Demographics
Demographics Scandia vs Mount pleasant provide insight into the diversity of the communities to compare.
| Demographic | Scandia | Mount pleasant |
|---|---|---|
| Black | 1 | 4 |
| White | 90 | 90 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 2 |
| Two or More Races | 9 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Scandia vs Mount pleasant
- In Mount pleasant, the percentage of Black residents is higher at 4% compared to 1% in Scandia.
- The percentage of White residents is the same in both Scandia and Mount pleasant at 90%.
- In Mount pleasant, the Asian population stands at 2%, greater than 0% in Scandia.
- Mount pleasant has a higher percentage of Hispanic residents at 2%, compared to 0% in Scandia.
- More residents identify as two or more races in Scandia at 9% compared to 2% in Mount pleasant.
- The percentage of American Indian residents is the same in both Scandia and Mount pleasant at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Scandia | Mount pleasant |
|---|---|---|
| Mental Health Not Good | 15.7% | 13.7% |
| Physical Health Not Good | 9.7% | 7.6% |
| Depression | 20.9% | 19.5% |
| Smoking | 16.9% | 9.8% |
| Binge Drinking | 20.3% | 25.5% |
| Obesity | 37.5% | 26.9% |
| Disability Percentage | 21.0% | 6.0% |
Health Statistics Comparison: Scandia vs Mount pleasant
- More residents in Scandia report poor mental health at 15.7% compared to 13.7% in Mount pleasant.
- Depression is more prevalent in Scandia at 20.9% compared to 19.5% in Mount pleasant.
- Smoking is more prevalent in Scandia at 16.9% compared to 9.8% in Mount pleasant.
- More residents engage in binge drinking in Mount pleasant at 25.5% compared to 20.3% in Scandia.
- Obesity rates are higher in Scandia at 37.5% compared to 26.9% in Mount pleasant.
- Disability percentages are higher in Scandia at 21.0% 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 | Scandia | Mount pleasant |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (259) |
| High School Diploma | 14.5% (49) | 5.8% (5,499) |
| Less than High School | 10.7% (36) | 2.7% (2,577) |
| Bachelor's Degree and Higher | 18.6% (63) | 46.2% (43,679) |
Education Levels Comparison: Scandia vs Mount pleasant
- In Mount pleasant, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Scandia.
- A higher percentage of residents in Scandia hold a high school diploma at 14.5% compared to 5.8% in Mount pleasant.
- More residents in Scandia have less than a high school education at 10.7% 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 18.6% in Scandia.
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.