Demographics details for Mount pleasant, SC vs Columbus, MS
Population Overview
Compare main population characteristics in Mount pleasant, SC vs Columbus, MS.
| Data | Mount pleasant | Columbus |
|---|---|---|
| Population | 94,545 | 23,273 |
| Median Age | 42.4 years | 38.5 years |
| Median Income | $115,167 | $38,954 |
| Married Families | 47.0% | 25.0% |
| Poverty Level | 5% | 19% |
| Unemployment Rate | 3.2 | 3.8 |
Population Comparison: Mount pleasant vs Columbus
- In Mount pleasant, the population is higher at 94,545, compared to 23,273 in Columbus.
- Residents in Mount pleasant have a higher median age of 42.4 years compared to 38.5 years in Columbus.
- Mount pleasant has a higher median income of $115,167 compared to $38,954 in Columbus.
- A higher percentage of married families is found in Mount pleasant at 47.0% compared to 25.0% in Columbus.
- The poverty level is higher in Columbus at 19%, compared to 5% in Mount pleasant.
- Columbus has a higher unemployment rate at 3.8% compared to 3.2% in Mount pleasant.
Demographics
Demographics Mount pleasant vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Mount pleasant | Columbus |
|---|---|---|
| Black | 4 | 66 |
| White | 90 | 28 |
| Asian | 2 | 2 |
| Hispanic | 2 | 2 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount pleasant vs Columbus
- In Columbus, the percentage of Black residents is higher at 66% compared to 4% in Mount pleasant.
- Mount pleasant has a higher percentage of White residents at 90% compared to 28% in Columbus.
- Both Mount pleasant and Columbus have the same percentage of Asian residents at 2%.
- The percentage of Hispanic residents is the same in both Mount pleasant and Columbus at 2%.
- Both Mount pleasant and Columbus have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Mount pleasant and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pleasant | Columbus |
|---|---|---|
| Mental Health Not Good | 13.7% | 17.4% |
| Physical Health Not Good | 7.6% | 13.6% |
| Depression | 19.5% | 20.0% |
| Smoking | 9.8% | 21.0% |
| Binge Drinking | 25.5% | 11.8% |
| Obesity | 26.9% | 44.8% |
| Disability Percentage | 6.0% | 12.0% |
Health Statistics Comparison: Mount pleasant vs Columbus
- In Columbus, a higher percentage report poor mental health at 17.4% compared to 13.7% in Mount pleasant.
- Higher depression rates are seen in Columbus at 20.0% versus 19.5% in Mount pleasant.
- Columbus has a higher smoking rate at 21.0% compared to 9.8% in Mount pleasant.
- Binge drinking is more common in Mount pleasant at 25.5% compared to 11.8% in Columbus.
- Columbus has higher obesity rates at 44.8% compared to 26.9% in Mount pleasant.
- There is a higher percentage of disabled individuals in Columbus at 12.0% 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 | Columbus |
|---|---|---|
| No Schooling | 0.3% (259) | 1.1% (260) |
| High School Diploma | 5.8% (5,499) | 18.4% (4,272) |
| Less than High School | 2.7% (2,577) | 11.0% (2,559) |
| Bachelor's Degree and Higher | 46.2% (43,679) | 17.1% (3,971) |
Education Levels Comparison: Mount pleasant vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.1% compared to 0.3% in Mount pleasant.
- In Columbus, the rate of residents with high school diplomas is higher at 18.4% compared to 5.8% in Mount pleasant.
- The percentage of residents with less than a high school education is higher in Columbus at 11.0%, 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 17.1% in Columbus.
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.