Demographics details for Vista, CA vs Mount pleasant, SC
Population Overview
Compare main population characteristics in Vista, CA vs Mount pleasant, SC.
| Data | Vista | Mount pleasant |
|---|---|---|
| Population | 97,766 | 94,545 |
| Median Age | 34.9 years | 42.4 years |
| Median Income | $88,715 | $115,167 |
| Married Families | 37.0% | 47.0% |
| Poverty Level | 11% | 5% |
| Unemployment Rate | 4.9 | 3.2 |
Population Comparison: Vista vs Mount pleasant
- In Vista, the population is higher at 97,766, compared to 94,545 in Mount pleasant.
- The median age in Mount pleasant is higher at 42.4 years, compared to 34.9 years in Vista.
- Mount pleasant has a higher median income of $115,167, compared to $88,715 in Vista.
- In Mount pleasant, the percentage of married families is higher at 47.0%, compared to 37.0% in Vista.
- Vista has a higher poverty level at 11% compared to 5% in Mount pleasant.
- The unemployment rate in Vista is higher at 4.9%, compared to 3.2% in Mount pleasant.
Demographics
Demographics Vista vs Mount pleasant provide insight into the diversity of the communities to compare.
| Demographic | Vista | Mount pleasant |
|---|---|---|
| Black | 3 | 4 |
| White | 18 | 90 |
| Asian | 5 | 2 |
| Hispanic | 50 | 2 |
| Two or More Races | 23 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Vista vs Mount pleasant
- In Mount pleasant, the percentage of Black residents is higher at 4% compared to 3% in Vista.
- The percentage of White residents is higher in Mount pleasant at 90% compared to 18% in Vista.
- The Asian population is larger in Vista at 5% compared to 2% in Mount pleasant.
- The Hispanic community is larger in Vista at 50% compared to 2% in Mount pleasant.
- More residents identify as two or more races in Vista at 23% compared to 2% in Mount pleasant.
- A greater percentage of American Indian residents live in Vista at 1% compared to 0% in Mount pleasant.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Vista | Mount pleasant |
|---|---|---|
| Mental Health Not Good | 16.6% | 13.7% |
| Physical Health Not Good | 11.9% | 7.6% |
| Depression | 18.1% | 19.5% |
| Smoking | 12.6% | 9.8% |
| Binge Drinking | 18.7% | 25.5% |
| Obesity | 26.2% | 26.9% |
| Disability Percentage | 7.0% | 6.0% |
Health Statistics Comparison: Vista vs Mount pleasant
- More residents in Vista report poor mental health at 16.6% compared to 13.7% in Mount pleasant.
- Higher depression rates are seen in Mount pleasant at 19.5% versus 18.1% in Vista.
- Smoking is more prevalent in Vista at 12.6% compared to 9.8% in Mount pleasant.
- More residents engage in binge drinking in Mount pleasant at 25.5% compared to 18.7% in Vista.
- Mount pleasant has higher obesity rates at 26.9% compared to 26.2% in Vista.
- Disability percentages are higher in Vista at 7.0% 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 | Vista | Mount pleasant |
|---|---|---|
| No Schooling | 2.4% (2,323) | 0.3% (259) |
| High School Diploma | 13.5% (13,211) | 5.8% (5,499) |
| Less than High School | 23.0% (22,522) | 2.7% (2,577) |
| Bachelor's Degree and Higher | 18.0% (17,605) | 46.2% (43,679) |
Education Levels Comparison: Vista vs Mount pleasant
- A higher percentage of residents in Vista have no formal schooling at 2.4% compared to 0.3% in Mount pleasant.
- A higher percentage of residents in Vista hold a high school diploma at 13.5% compared to 5.8% in Mount pleasant.
- More residents in Vista have less than a high school education at 23.0% 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 18.0% in Vista.
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.