Demographics details for Bonita, CA vs Indian head, MD
Population Overview
Compare main population characteristics in Bonita, CA vs Indian head, MD.
| Data | Bonita | Indian head |
|---|---|---|
| Population | 13,473 | 4,025 |
| Median Age | 45.2 years | 37.5 years |
| Median Income | $115,118 | $77,948 |
| Married Families | 41.0% | 24.0% |
| Poverty Level | 7% | 9% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Bonita vs Indian head
- In Bonita, the population is higher at 13,473, compared to 4,025 in Indian head.
- Residents in Bonita have a higher median age of 45.2 years compared to 37.5 years in Indian head.
- Bonita has a higher median income of $115,118 compared to $77,948 in Indian head.
- A higher percentage of married families is found in Bonita at 41.0% compared to 24.0% in Indian head.
- The poverty level is higher in Indian head at 9%, compared to 7% in Bonita.
- The unemployment rate is the same in both Bonita and Indian head at 3.5%.
Demographics
Demographics Bonita vs Indian head provide insight into the diversity of the communities to compare.
| Demographic | Bonita | Indian head |
|---|---|---|
| Black | 2 | 62 |
| White | 17 | 26 |
| Asian | 11 | 3 |
| Hispanic | 49 | 5 |
| Two or More Races | 21 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bonita vs Indian head
- In Indian head, the percentage of Black residents is higher at 62% compared to 2% in Bonita.
- The percentage of White residents is higher in Indian head at 26% compared to 17% in Bonita.
- The Asian population is larger in Bonita at 11% compared to 3% in Indian head.
- The Hispanic community is larger in Bonita at 49% compared to 5% in Indian head.
- More residents identify as two or more races in Bonita at 21% compared to 3% in Indian head.
- In Indian head, 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 | Indian head |
|---|---|---|
| Mental Health Not Good | 14.3% | 15.9% |
| Physical Health Not Good | 9.4% | 10.9% |
| Depression | 16.2% | 17.0% |
| Smoking | 9.1% | 16.4% |
| Binge Drinking | 19.1% | 15.1% |
| Obesity | 23.3% | 44.5% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Bonita vs Indian head
- In Indian head, a higher percentage report poor mental health at 15.9% compared to 14.3% in Bonita.
- Higher depression rates are seen in Indian head at 17.0% versus 16.2% in Bonita.
- Indian head has a higher smoking rate at 16.4% compared to 9.1% in Bonita.
- Binge drinking is more common in Bonita at 19.1% compared to 15.1% in Indian head.
- Indian head has higher obesity rates at 44.5% compared to 23.3% in Bonita.
- There is a higher percentage of disabled individuals in Indian head at 14.0% compared to 10.0% in Bonita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bonita | Indian head |
|---|---|---|
| No Schooling | 1.3% (177) | 0.0% (Data is updating) |
| High School Diploma | 12.6% (1,704) | 27.9% (1,123) |
| Less than High School | 13.3% (1,796) | 4.5% (183) |
| Bachelor's Degree and Higher | 29.2% (3,934) | 10.9% (437) |
Education Levels Comparison: Bonita vs Indian head
- A higher percentage of residents in Bonita have no formal schooling at 1.3% compared to 0.0% in Indian head.
- In Indian head, the rate of residents with high school diplomas is higher at 27.9% compared to 12.6% in Bonita.
- More residents in Bonita have less than a high school education at 13.3% compared to 4.5% in Indian head.
- A higher percentage of residents in Bonita hold a bachelor's degree or higher at 29.2% compared to 10.9% in Indian head.
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.