Demographics details for San luis, AZ vs Mount pleasant, SC
Population Overview
Compare main population characteristics in San luis, AZ vs Mount pleasant, SC.
Data | San luis | Mount pleasant |
---|---|---|
Population | 35,770 | 94,545 |
Median Age | 31.6 years | 42.4 years |
Median Income | $46,747 | $115,167 |
Married Families | 35.0% | 47.0% |
Poverty Level | 18% | 5% |
Unemployment Rate | 24.3 | 3.2 |
Population Comparison: San luis vs Mount pleasant
- The population in Mount pleasant is higher at 94,545, compared to 35,770 in San luis.
- The median age in Mount pleasant is higher at 42.4 years, compared to 31.6 years in San luis.
- Mount pleasant has a higher median income of $115,167, compared to $46,747 in San luis.
- In Mount pleasant, the percentage of married families is higher at 47.0%, compared to 35.0% in San luis.
- San luis has a higher poverty level at 18% compared to 5% in Mount pleasant.
- The unemployment rate in San luis is higher at 24.3%, compared to 3.2% in Mount pleasant.
Demographics
Demographics San luis vs Mount pleasant provide insight into the diversity of the communities to compare.
Demographic | San luis | Mount pleasant |
---|---|---|
Black | 1 | 4 |
White | -39 | 90 |
Asian | Data is updating | 2 |
Hispanic | 93 | 2 |
Two or More Races | 44 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: San luis vs Mount pleasant
- In Mount pleasant, the percentage of Black residents is higher at 4% compared to 1% in San luis.
- The percentage of White residents is higher in Mount pleasant at 90% compared to -39% in San luis.
- In Mount pleasant, the Asian population stands at 2%, greater than 0% in San luis.
- The Hispanic community is larger in San luis at 93% compared to 2% in Mount pleasant.
- More residents identify as two or more races in San luis at 44% compared to 2% in Mount pleasant.
- A greater percentage of American Indian residents live in San luis at 1% compared to 0% in Mount pleasant.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | San luis | Mount pleasant |
---|---|---|
Mental Health Not Good | 18.6% | 13.7% |
Physical Health Not Good | 18.0% | 7.6% |
Depression | 19.0% | 19.5% |
Smoking | 18.7% | 9.8% |
Binge Drinking | 14.6% | 25.5% |
Obesity | 45.5% | 26.9% |
Disability Percentage | 6.0% | 6.0% |
Health Statistics Comparison: San luis vs Mount pleasant
- More residents in San luis report poor mental health at 18.6% compared to 13.7% in Mount pleasant.
- Higher depression rates are seen in Mount pleasant at 19.5% versus 19.0% in San luis.
- Smoking is more prevalent in San luis at 18.7% compared to 9.8% in Mount pleasant.
- More residents engage in binge drinking in Mount pleasant at 25.5% compared to 14.6% in San luis.
- Obesity rates are higher in San luis at 45.5% compared to 26.9% in Mount pleasant.
- Disability percentages are the same in both San luis and Mount pleasant at 6.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | San luis | Mount pleasant |
---|---|---|
No Schooling | 3.3% (1,167) | 0.3% (259) |
High School Diploma | 9.6% (3,430) | 5.8% (5,499) |
Less than High School | 54.3% (19,437) | 2.7% (2,577) |
Bachelor's Degree and Higher | 5.1% (1,836) | 46.2% (43,679) |
Education Levels Comparison: San luis vs Mount pleasant
- A higher percentage of residents in San luis have no formal schooling at 3.3% compared to 0.3% in Mount pleasant.
- A higher percentage of residents in San luis hold a high school diploma at 9.6% compared to 5.8% in Mount pleasant.
- More residents in San luis have less than a high school education at 54.3% 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 5.1% in San luis.
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.