Demographics details for Mount pleasant, IA vs Fontana, CA
Population Overview
Compare main population characteristics in Mount pleasant, IA vs Fontana, CA.
| Data | Mount pleasant | Fontana |
|---|---|---|
| Population | 9,132 | 212,475 |
| Median Age | 36.5 years | 32.6 years |
| Median Income | $58,895 | $93,230 |
| Married Families | 37.0% | 36.0% |
| Poverty Level | 9% | 13% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Mount pleasant vs Fontana
- The population in Fontana is higher at 212,475, compared to 9,132 in Mount pleasant.
- Residents in Mount pleasant have a higher median age of 36.5 years compared to 32.6 years in Fontana.
- Fontana has a higher median income of $93,230, compared to $58,895 in Mount pleasant.
- A higher percentage of married families is found in Mount pleasant at 37.0% compared to 36.0% in Fontana.
- The poverty level is higher in Fontana at 13%, compared to 9% in Mount pleasant.
- Fontana has a higher unemployment rate at 5.0% compared to 3.5% in Mount pleasant.
Demographics
Demographics Mount pleasant vs Fontana provide insight into the diversity of the communities to compare.
| Demographic | Mount pleasant | Fontana |
|---|---|---|
| Black | 5 | 8 |
| White | 76 | 2 |
| Asian | 4 | 7 |
| Hispanic | 8 | 68 |
| Two or More Races | 6 | 14 |
| American Indian | 1 | 1 |
Demographics Comparison: Mount pleasant vs Fontana
- In Fontana, the percentage of Black residents is higher at 8% compared to 5% in Mount pleasant.
- Mount pleasant has a higher percentage of White residents at 76% compared to 2% in Fontana.
- In Fontana, the Asian population stands at 7%, greater than 4% in Mount pleasant.
- Fontana has a higher percentage of Hispanic residents at 68%, compared to 8% in Mount pleasant.
- The percentage of residents identifying as two or more races is higher in Fontana at 14%, compared to 6% in Mount pleasant.
- The percentage of American Indian residents is the same in both Mount pleasant and Fontana at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pleasant | Fontana |
|---|---|---|
| Mental Health Not Good | 15.5% | 16.2% |
| Physical Health Not Good | 10.4% | 12.6% |
| Depression | 19.3% | 17.0% |
| Smoking | 18.1% | 12.4% |
| Binge Drinking | 20.6% | 15.1% |
| Obesity | 39.5% | 38.6% |
| Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Mount pleasant vs Fontana
- In Fontana, a higher percentage report poor mental health at 16.2% compared to 15.5% in Mount pleasant.
- Depression is more prevalent in Mount pleasant at 19.3% compared to 17.0% in Fontana.
- Smoking is more prevalent in Mount pleasant at 18.1% compared to 12.4% in Fontana.
- Binge drinking is more common in Mount pleasant at 20.6% compared to 15.1% in Fontana.
- Obesity rates are higher in Mount pleasant at 39.5% compared to 38.6% in Fontana.
- Disability percentages are higher in Mount pleasant at 14.0% compared to 8.0% in Fontana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount pleasant | Fontana |
|---|---|---|
| No Schooling | 2.4% (221) | 2.2% (4,748) |
| High School Diploma | 14.8% (1,354) | 16.3% (34,556) |
| Less than High School | 15.2% (1,392) | 25.3% (53,655) |
| Bachelor's Degree and Higher | 16.8% (1,533) | 12.0% (25,587) |
Education Levels Comparison: Mount pleasant vs Fontana
- A higher percentage of residents in Mount pleasant have no formal schooling at 2.4% compared to 2.2% in Fontana.
- In Fontana, the rate of residents with high school diplomas is higher at 16.3% compared to 14.8% in Mount pleasant.
- The percentage of residents with less than a high school education is higher in Fontana at 25.3%, compared to 15.2% in Mount pleasant.
- A higher percentage of residents in Mount pleasant hold a bachelor's degree or higher at 16.8% compared to 12.0% in Fontana.
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.