Demographics details for Fair oaks, CA vs Mount pleasant, SC
Population Overview
Compare main population characteristics in Fair oaks, CA vs Mount pleasant, SC.
Data | Fair oaks | Mount pleasant |
---|---|---|
Population | 32,754 | 94,545 |
Median Age | 45.7 years | 42.4 years |
Median Income | $112,138 | $115,167 |
Married Families | 45.0% | 47.0% |
Poverty Level | 6% | 5% |
Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Fair oaks vs Mount pleasant
- The population in Mount pleasant is higher at 94,545, compared to 32,754 in Fair oaks.
- Residents in Fair oaks have a higher median age of 45.7 years compared to 42.4 years in Mount pleasant.
- Mount pleasant has a higher median income of $115,167, compared to $112,138 in Fair oaks.
- In Mount pleasant, the percentage of married families is higher at 47.0%, compared to 45.0% in Fair oaks.
- Fair oaks has a higher poverty level at 6% compared to 5% in Mount pleasant.
- The unemployment rate in Fair oaks is higher at 4.5%, compared to 3.2% in Mount pleasant.
Demographics
Demographics Fair oaks vs Mount pleasant provide insight into the diversity of the communities to compare.
Demographic | Fair oaks | Mount pleasant |
---|---|---|
Black | 2 | 4 |
White | 68 | 90 |
Asian | 5 | 2 |
Hispanic | 14 | 2 |
Two or More Races | 10 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Fair oaks vs Mount pleasant
- In Mount pleasant, the percentage of Black residents is higher at 4% compared to 2% in Fair oaks.
- The percentage of White residents is higher in Mount pleasant at 90% compared to 68% in Fair oaks.
- The Asian population is larger in Fair oaks at 5% compared to 2% in Mount pleasant.
- The Hispanic community is larger in Fair oaks at 14% compared to 2% in Mount pleasant.
- More residents identify as two or more races in Fair oaks at 10% compared to 2% in Mount pleasant.
- A greater percentage of American Indian residents live in Fair oaks at 1% compared to 0% in Mount pleasant.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fair oaks | Mount pleasant |
---|---|---|
Mental Health Not Good | 15.6% | 13.7% |
Physical Health Not Good | 9.3% | 7.6% |
Depression | 20.3% | 19.5% |
Smoking | 10.6% | 9.8% |
Binge Drinking | 17.8% | 25.5% |
Obesity | 29.9% | 26.9% |
Disability Percentage | 11.0% | 6.0% |
Health Statistics Comparison: Fair oaks vs Mount pleasant
- More residents in Fair oaks report poor mental health at 15.6% compared to 13.7% in Mount pleasant.
- Depression is more prevalent in Fair oaks at 20.3% compared to 19.5% in Mount pleasant.
- Smoking is more prevalent in Fair oaks at 10.6% compared to 9.8% in Mount pleasant.
- More residents engage in binge drinking in Mount pleasant at 25.5% compared to 17.8% in Fair oaks.
- Obesity rates are higher in Fair oaks at 29.9% compared to 26.9% in Mount pleasant.
- Disability percentages are higher in Fair oaks at 11.0% 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 | Fair oaks | Mount pleasant |
---|---|---|
No Schooling | 1.0% (312) | 0.3% (259) |
High School Diploma | 9.5% (3,112) | 5.8% (5,499) |
Less than High School | 4.9% (1,601) | 2.7% (2,577) |
Bachelor's Degree and Higher | 35.4% (11,579) | 46.2% (43,679) |
Education Levels Comparison: Fair oaks vs Mount pleasant
- A higher percentage of residents in Fair oaks have no formal schooling at 1.0% compared to 0.3% in Mount pleasant.
- A higher percentage of residents in Fair oaks hold a high school diploma at 9.5% compared to 5.8% in Mount pleasant.
- More residents in Fair oaks have less than a high school education at 4.9% 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 35.4% in Fair oaks.
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.