Demographics details for Ewa beach, HI vs Bonita, CA
Population Overview
Compare main population characteristics in Ewa beach, HI vs Bonita, CA.
| Data | Ewa beach | Bonita |
|---|---|---|
| Population | 15,167 | 13,473 |
| Median Age | 40.1 years | 45.2 years |
| Median Income | $114,207 | $115,118 |
| Married Families | 39.0% | 41.0% |
| Poverty Level | 8% | 7% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Ewa beach vs Bonita
- In Ewa beach, the population is higher at 15,167, compared to 13,473 in Bonita.
- The median age in Bonita is higher at 45.2 years, compared to 40.1 years in Ewa beach.
- Bonita has a higher median income of $115,118, compared to $114,207 in Ewa beach.
- In Bonita, the percentage of married families is higher at 41.0%, compared to 39.0% in Ewa beach.
- Ewa beach has a higher poverty level at 8% compared to 7% in Bonita.
- Bonita has a higher unemployment rate at 3.5% compared to 2.5% in Ewa beach.
Demographics
Demographics Ewa beach vs Bonita provide insight into the diversity of the communities to compare.
| Demographic | Ewa beach | Bonita |
|---|---|---|
| Black | Data is updating | 2 |
| White | 7 | 17 |
| Asian | 54 | 11 |
| Hispanic | 11 | 49 |
| Two or More Races | 28 | 21 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ewa beach vs Bonita
- In Bonita, the percentage of Black residents is higher at 2% compared to 0% in Ewa beach.
- The percentage of White residents is higher in Bonita at 17% compared to 7% in Ewa beach.
- The Asian population is larger in Ewa beach at 54% compared to 11% in Bonita.
- Bonita has a higher percentage of Hispanic residents at 49%, compared to 11% in Ewa beach.
- More residents identify as two or more races in Ewa beach at 28% compared to 21% in Bonita.
- The percentage of American Indian residents is the same in both Ewa beach and Bonita at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ewa beach | Bonita |
|---|---|---|
| Mental Health Not Good | 13.5% | 14.3% |
| Physical Health Not Good | 8.7% | 9.4% |
| Depression | 11.9% | 16.2% |
| Smoking | 13.0% | 9.1% |
| Binge Drinking | 16.8% | 19.1% |
| Obesity | 25.0% | 23.3% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Ewa beach vs Bonita
- In Bonita, a higher percentage report poor mental health at 14.3% compared to 13.5% in Ewa beach.
- Higher depression rates are seen in Bonita at 16.2% versus 11.9% in Ewa beach.
- Smoking is more prevalent in Ewa beach at 13.0% compared to 9.1% in Bonita.
- More residents engage in binge drinking in Bonita at 19.1% compared to 16.8% in Ewa beach.
- Obesity rates are higher in Ewa beach at 25.0% compared to 23.3% in Bonita.
- Disability percentages are the same in both Ewa beach and Bonita at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ewa beach | Bonita |
|---|---|---|
| No Schooling | 2.2% (336) | 1.3% (177) |
| High School Diploma | 23.9% (3,619) | 12.6% (1,704) |
| Less than High School | 9.3% (1,409) | 13.3% (1,796) |
| Bachelor's Degree and Higher | 14.8% (2,251) | 29.2% (3,934) |
Education Levels Comparison: Ewa beach vs Bonita
- A higher percentage of residents in Ewa beach have no formal schooling at 2.2% compared to 1.3% in Bonita.
- A higher percentage of residents in Ewa beach hold a high school diploma at 23.9% compared to 12.6% in Bonita.
- The percentage of residents with less than a high school education is higher in Bonita at 13.3%, compared to 9.3% in Ewa beach.
- In Bonita, a larger share of residents have a bachelor's degree or higher at 29.2% compared to 14.8% in Ewa beach.
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.