Demographics details for Elsinore, UT vs Mount pleasant, SC
Population Overview
Compare main population characteristics in Elsinore, UT vs Mount pleasant, SC.
| Data | Elsinore | Mount pleasant |
|---|---|---|
| Population | 865 | 94,545 |
| Median Age | 50.4 years | 42.4 years |
| Median Income | $53,929 | $115,167 |
| Married Families | 48.0% | 47.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Elsinore vs Mount pleasant
- The population in Mount pleasant is higher at 94,545, compared to 865 in Elsinore.
- Residents in Elsinore have a higher median age of 50.4 years compared to 42.4 years in Mount pleasant.
- Mount pleasant has a higher median income of $115,167, compared to $53,929 in Elsinore.
- A higher percentage of married families is found in Elsinore at 48.0% compared to 47.0% in Mount pleasant.
- Elsinore has a higher poverty level at 9% compared to 5% in Mount pleasant.
- The unemployment rate is the same in both Elsinore and Mount pleasant at 3.2%.
Demographics
Demographics Elsinore vs Mount pleasant provide insight into the diversity of the communities to compare.
| Demographic | Elsinore | Mount pleasant |
|---|---|---|
| Black | Data is updating | 4 |
| White | 82 | 90 |
| Asian | 1 | 2 |
| Hispanic | 10 | 2 |
| Two or More Races | 5 | 2 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Elsinore vs Mount pleasant
- In Mount pleasant, the percentage of Black residents is higher at 4% compared to 0% in Elsinore.
- The percentage of White residents is higher in Mount pleasant at 90% compared to 82% in Elsinore.
- In Mount pleasant, the Asian population stands at 2%, greater than 1% in Elsinore.
- The Hispanic community is larger in Elsinore at 10% compared to 2% in Mount pleasant.
- More residents identify as two or more races in Elsinore at 5% compared to 2% in Mount pleasant.
- A greater percentage of American Indian residents live in Elsinore at 2% compared to 0% in Mount pleasant.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elsinore | Mount pleasant |
|---|---|---|
| Mental Health Not Good | 18.2% | 13.7% |
| Physical Health Not Good | 12.4% | 7.6% |
| Depression | 26.3% | 19.5% |
| Smoking | 13.5% | 9.8% |
| Binge Drinking | 13.0% | 25.5% |
| Obesity | 37.1% | 26.9% |
| Disability Percentage | 17.0% | 6.0% |
Health Statistics Comparison: Elsinore vs Mount pleasant
- More residents in Elsinore report poor mental health at 18.2% compared to 13.7% in Mount pleasant.
- Depression is more prevalent in Elsinore at 26.3% compared to 19.5% in Mount pleasant.
- Smoking is more prevalent in Elsinore at 13.5% compared to 9.8% in Mount pleasant.
- More residents engage in binge drinking in Mount pleasant at 25.5% compared to 13.0% in Elsinore.
- Obesity rates are higher in Elsinore at 37.1% compared to 26.9% in Mount pleasant.
- Disability percentages are higher in Elsinore at 17.0% 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 | Elsinore | Mount pleasant |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (259) |
| High School Diploma | 22.9% (198) | 5.8% (5,499) |
| Less than High School | 6.6% (57) | 2.7% (2,577) |
| Bachelor's Degree and Higher | 10.3% (89) | 46.2% (43,679) |
Education Levels Comparison: Elsinore vs Mount pleasant
- In Mount pleasant, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Elsinore.
- A higher percentage of residents in Elsinore hold a high school diploma at 22.9% compared to 5.8% in Mount pleasant.
- More residents in Elsinore have less than a high school education at 6.6% 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 10.3% in Elsinore.
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.