Demographics details for Mount pleasant, SC vs Springer, OK
Population Overview
Compare main population characteristics in Mount pleasant, SC vs Springer, OK.
| Data | Mount pleasant | Springer |
|---|---|---|
| Population | 94,545 | 694 |
| Median Age | 42.4 years | 30.3 years |
| Median Income | $115,167 | $51,630 |
| Married Families | 47.0% | 42.0% |
| Poverty Level | 5% | 17% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Mount pleasant vs Springer
- In Mount pleasant, the population is higher at 94,545, compared to 694 in Springer.
- Residents in Mount pleasant have a higher median age of 42.4 years compared to 30.3 years in Springer.
- Mount pleasant has a higher median income of $115,167 compared to $51,630 in Springer.
- A higher percentage of married families is found in Mount pleasant at 47.0% compared to 42.0% in Springer.
- The poverty level is higher in Springer at 17%, compared to 5% in Mount pleasant.
- Springer has a higher unemployment rate at 3.5% compared to 3.2% in Mount pleasant.
Demographics
Demographics Mount pleasant vs Springer provide insight into the diversity of the communities to compare.
| Demographic | Mount pleasant | Springer |
|---|---|---|
| Black | 4 | 5 |
| White | 90 | 54 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 7 |
| Two or More Races | 2 | 21 |
| American Indian | Data is updating | 13 |
Demographics Comparison: Mount pleasant vs Springer
- In Springer, the percentage of Black residents is higher at 5% compared to 4% in Mount pleasant.
- Mount pleasant has a higher percentage of White residents at 90% compared to 54% in Springer.
- The Asian population is larger in Mount pleasant at 2% compared to 0% in Springer.
- Springer has a higher percentage of Hispanic residents at 7%, compared to 2% in Mount pleasant.
- The percentage of residents identifying as two or more races is higher in Springer at 21%, compared to 2% in Mount pleasant.
- In Springer, the percentage of American Indian residents is higher at 13%, compared to 0% in Mount pleasant.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pleasant | Springer |
|---|---|---|
| Mental Health Not Good | 13.7% | 18.7% |
| Physical Health Not Good | 7.6% | 12.6% |
| Depression | 19.5% | 26.0% |
| Smoking | 9.8% | 20.5% |
| Binge Drinking | 25.5% | 15.6% |
| Obesity | 26.9% | 39.9% |
| Disability Percentage | 6.0% | 29.0% |
Health Statistics Comparison: Mount pleasant vs Springer
- In Springer, a higher percentage report poor mental health at 18.7% compared to 13.7% in Mount pleasant.
- Higher depression rates are seen in Springer at 26.0% versus 19.5% in Mount pleasant.
- Springer has a higher smoking rate at 20.5% compared to 9.8% in Mount pleasant.
- Binge drinking is more common in Mount pleasant at 25.5% compared to 15.6% in Springer.
- Springer has higher obesity rates at 39.9% compared to 26.9% in Mount pleasant.
- There is a higher percentage of disabled individuals in Springer at 29.0% 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 | Springer |
|---|---|---|
| No Schooling | 0.3% (259) | 0.0% (Data is updating) |
| High School Diploma | 5.8% (5,499) | 19.2% (133) |
| Less than High School | 2.7% (2,577) | 19.6% (136) |
| Bachelor's Degree and Higher | 46.2% (43,679) | 9.4% (65) |
Education Levels Comparison: Mount pleasant vs Springer
- A higher percentage of residents in Mount pleasant have no formal schooling at 0.3% compared to 0.0% in Springer.
- In Springer, the rate of residents with high school diplomas is higher at 19.2% compared to 5.8% in Mount pleasant.
- The percentage of residents with less than a high school education is higher in Springer at 19.6%, 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 9.4% in Springer.
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.