Demographics details for Bonita, CA vs Marietta, GA
Population Overview
Compare main population characteristics in Bonita, CA vs Marietta, GA.
| Data | Bonita | Marietta |
|---|---|---|
| Population | 13,473 | 62,602 |
| Median Age | 45.2 years | 35.2 years |
| Median Income | $115,118 | $67,589 |
| Married Families | 41.0% | 31.0% |
| Poverty Level | 7% | 11% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Bonita vs Marietta
- The population in Marietta is higher at 62,602, compared to 13,473 in Bonita.
- Residents in Bonita have a higher median age of 45.2 years compared to 35.2 years in Marietta.
- Bonita has a higher median income of $115,118 compared to $67,589 in Marietta.
- A higher percentage of married families is found in Bonita at 41.0% compared to 31.0% in Marietta.
- The poverty level is higher in Marietta at 11%, compared to 7% in Bonita.
- The unemployment rate is the same in both Bonita and Marietta at 3.5%.
Demographics
Demographics Bonita vs Marietta provide insight into the diversity of the communities to compare.
| Demographic | Bonita | Marietta |
|---|---|---|
| Black | 2 | 30 |
| White | 17 | 41 |
| Asian | 11 | 2 |
| Hispanic | 49 | 18 |
| Two or More Races | 21 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bonita vs Marietta
- In Marietta, the percentage of Black residents is higher at 30% compared to 2% in Bonita.
- The percentage of White residents is higher in Marietta at 41% compared to 17% in Bonita.
- The Asian population is larger in Bonita at 11% compared to 2% in Marietta.
- The Hispanic community is larger in Bonita at 49% compared to 18% in Marietta.
- More residents identify as two or more races in Bonita at 21% compared to 8% in Marietta.
- In Marietta, the percentage of American Indian residents is higher at 1%, compared to 0% in Bonita.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bonita | Marietta |
|---|---|---|
| Mental Health Not Good | 14.3% | 15.1% |
| Physical Health Not Good | 9.4% | 11.1% |
| Depression | 16.2% | 18.1% |
| Smoking | 9.1% | 14.5% |
| Binge Drinking | 19.1% | 14.5% |
| Obesity | 23.3% | 32.3% |
| Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Bonita vs Marietta
- In Marietta, a higher percentage report poor mental health at 15.1% compared to 14.3% in Bonita.
- Higher depression rates are seen in Marietta at 18.1% versus 16.2% in Bonita.
- Marietta has a higher smoking rate at 14.5% compared to 9.1% in Bonita.
- Binge drinking is more common in Bonita at 19.1% compared to 14.5% in Marietta.
- Marietta has higher obesity rates at 32.3% compared to 23.3% in Bonita.
- Disability percentages are higher in Bonita at 10.0% compared to 9.0% in Marietta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bonita | Marietta |
|---|---|---|
| No Schooling | 1.3% (177) | 1.8% (1,148) |
| High School Diploma | 12.6% (1,704) | 10.0% (6,250) |
| Less than High School | 13.3% (1,796) | 13.1% (8,224) |
| Bachelor's Degree and Higher | 29.2% (3,934) | 29.9% (18,706) |
Education Levels Comparison: Bonita vs Marietta
- In Marietta, a larger percentage of residents lack formal schooling at 1.8% compared to 1.3% in Bonita.
- A higher percentage of residents in Bonita hold a high school diploma at 12.6% compared to 10.0% in Marietta.
- More residents in Bonita have less than a high school education at 13.3% compared to 13.1% in Marietta.
- In Marietta, a larger share of residents have a bachelor's degree or higher at 29.9% compared to 29.2% in Bonita.
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.