Demographics details for Mount pleasant, SC vs Irvine, CA
Population Overview
Compare main population characteristics in Mount pleasant, SC vs Irvine, CA.
| Data | Mount pleasant | Irvine |
|---|---|---|
| Population | 94,545 | 313,685 |
| Median Age | 42.4 years | 33.8 years |
| Median Income | $115,167 | $122,948 |
| Married Families | 47.0% | 39.0% |
| Poverty Level | 5% | 6% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Mount pleasant vs Irvine
- The population in Irvine is higher at 313,685, compared to 94,545 in Mount pleasant.
- Residents in Mount pleasant have a higher median age of 42.4 years compared to 33.8 years in Irvine.
- Irvine has a higher median income of $122,948, compared to $115,167 in Mount pleasant.
- A higher percentage of married families is found in Mount pleasant at 47.0% compared to 39.0% in Irvine.
- The poverty level is higher in Irvine at 6%, compared to 5% in Mount pleasant.
- Irvine has a higher unemployment rate at 4.2% compared to 3.2% in Mount pleasant.
Demographics
Demographics Mount pleasant vs Irvine provide insight into the diversity of the communities to compare.
| Demographic | Mount pleasant | Irvine |
|---|---|---|
| Black | 4 | 2 |
| White | 90 | 34 |
| Asian | 2 | 43 |
| Hispanic | 2 | 11 |
| Two or More Races | 2 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount pleasant vs Irvine
- A higher percentage of Black residents are in Mount pleasant at 4% compared to 2% in Irvine.
- Mount pleasant has a higher percentage of White residents at 90% compared to 34% in Irvine.
- In Irvine, the Asian population stands at 43%, greater than 2% in Mount pleasant.
- Irvine has a higher percentage of Hispanic residents at 11%, compared to 2% in Mount pleasant.
- The percentage of residents identifying as two or more races is higher in Irvine at 10%, compared to 2% in Mount pleasant.
- The percentage of American Indian residents is the same in both Mount pleasant and Irvine at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pleasant | Irvine |
|---|---|---|
| Mental Health Not Good | 13.7% | 12.7% |
| Physical Health Not Good | 7.6% | 7.7% |
| Depression | 19.5% | 15.4% |
| Smoking | 9.8% | 7.5% |
| Binge Drinking | 25.5% | 14.9% |
| Obesity | 26.9% | 21.0% |
| Disability Percentage | 6.0% | 5.0% |
Health Statistics Comparison: Mount pleasant vs Irvine
- More residents in Mount pleasant report poor mental health at 13.7% compared to 12.7% in Irvine.
- Depression is more prevalent in Mount pleasant at 19.5% compared to 15.4% in Irvine.
- Smoking is more prevalent in Mount pleasant at 9.8% compared to 7.5% in Irvine.
- Binge drinking is more common in Mount pleasant at 25.5% compared to 14.9% in Irvine.
- Obesity rates are higher in Mount pleasant at 26.9% compared to 21.0% in Irvine.
- Disability percentages are higher in Mount pleasant at 6.0% compared to 5.0% in Irvine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount pleasant | Irvine |
|---|---|---|
| No Schooling | 0.3% (259) | 0.8% (2,579) |
| High School Diploma | 5.8% (5,499) | 3.8% (12,010) |
| Less than High School | 2.7% (2,577) | 3.4% (10,664) |
| Bachelor's Degree and Higher | 46.2% (43,679) | 44.3% (138,926) |
Education Levels Comparison: Mount pleasant vs Irvine
- In Irvine, a larger percentage of residents lack formal schooling at 0.8% compared to 0.3% in Mount pleasant.
- A higher percentage of residents in Mount pleasant hold a high school diploma at 5.8% compared to 3.8% in Irvine.
- The percentage of residents with less than a high school education is higher in Irvine at 3.4%, 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 44.3% in Irvine.
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.