Demographics details for Mount pleasant, SC vs Victoria, TX
Population Overview
Compare main population characteristics in Mount pleasant, SC vs Victoria, TX.
| Data | Mount pleasant | Victoria |
|---|---|---|
| Population | 94,545 | 65,372 |
| Median Age | 42.4 years | 34.7 years |
| Median Income | $115,167 | $64,832 |
| Married Families | 47.0% | 36.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 3.2 | 4.8 |
Population Comparison: Mount pleasant vs Victoria
- In Mount pleasant, the population is higher at 94,545, compared to 65,372 in Victoria.
- Residents in Mount pleasant have a higher median age of 42.4 years compared to 34.7 years in Victoria.
- Mount pleasant has a higher median income of $115,167 compared to $64,832 in Victoria.
- A higher percentage of married families is found in Mount pleasant at 47.0% compared to 36.0% in Victoria.
- The poverty level is higher in Victoria at 13%, compared to 5% in Mount pleasant.
- Victoria has a higher unemployment rate at 4.8% compared to 3.2% in Mount pleasant.
Demographics
Demographics Mount pleasant vs Victoria provide insight into the diversity of the communities to compare.
| Demographic | Mount pleasant | Victoria |
|---|---|---|
| Black | 4 | 7 |
| White | 90 | 14 |
| Asian | 2 | 2 |
| Hispanic | 2 | 56 |
| Two or More Races | 2 | 21 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount pleasant vs Victoria
- In Victoria, the percentage of Black residents is higher at 7% compared to 4% in Mount pleasant.
- Mount pleasant has a higher percentage of White residents at 90% compared to 14% in Victoria.
- Both Mount pleasant and Victoria have the same percentage of Asian residents at 2%.
- Victoria has a higher percentage of Hispanic residents at 56%, compared to 2% in Mount pleasant.
- The percentage of residents identifying as two or more races is higher in Victoria at 21%, compared to 2% in Mount pleasant.
- The percentage of American Indian residents is the same in both Mount pleasant and Victoria at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pleasant | Victoria |
|---|---|---|
| Mental Health Not Good | 13.7% | 18.0% |
| Physical Health Not Good | 7.6% | 13.1% |
| Depression | 19.5% | 23.2% |
| Smoking | 9.8% | 17.6% |
| Binge Drinking | 25.5% | 17.0% |
| Obesity | 26.9% | 41.7% |
| Disability Percentage | 6.0% | 15.0% |
Health Statistics Comparison: Mount pleasant vs Victoria
- In Victoria, a higher percentage report poor mental health at 18.0% compared to 13.7% in Mount pleasant.
- Higher depression rates are seen in Victoria at 23.2% versus 19.5% in Mount pleasant.
- Victoria has a higher smoking rate at 17.6% compared to 9.8% in Mount pleasant.
- Binge drinking is more common in Mount pleasant at 25.5% compared to 17.0% in Victoria.
- Victoria has higher obesity rates at 41.7% compared to 26.9% in Mount pleasant.
- There is a higher percentage of disabled individuals in Victoria at 15.0% 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 | Victoria |
|---|---|---|
| No Schooling | 0.3% (259) | 1.4% (904) |
| High School Diploma | 5.8% (5,499) | 16.1% (10,544) |
| Less than High School | 2.7% (2,577) | 21.7% (14,173) |
| Bachelor's Degree and Higher | 46.2% (43,679) | 12.4% (8,078) |
Education Levels Comparison: Mount pleasant vs Victoria
- In Victoria, a larger percentage of residents lack formal schooling at 1.4% compared to 0.3% in Mount pleasant.
- In Victoria, the rate of residents with high school diplomas is higher at 16.1% compared to 5.8% in Mount pleasant.
- The percentage of residents with less than a high school education is higher in Victoria at 21.7%, 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 12.4% in Victoria.
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.