Demographics details for Ewa beach, HI vs Marietta, GA
Population Overview
Compare main population characteristics in Ewa beach, HI vs Marietta, GA.
| Data | Ewa beach | Marietta |
|---|---|---|
| Population | 15,167 | 62,602 |
| Median Age | 40.1 years | 35.2 years |
| Median Income | $114,207 | $67,589 |
| Married Families | 39.0% | 31.0% |
| Poverty Level | 8% | 11% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Ewa beach vs Marietta
- The population in Marietta is higher at 62,602, compared to 15,167 in Ewa beach.
- Residents in Ewa beach have a higher median age of 40.1 years compared to 35.2 years in Marietta.
- Ewa beach has a higher median income of $114,207 compared to $67,589 in Marietta.
- A higher percentage of married families is found in Ewa beach at 39.0% compared to 31.0% in Marietta.
- The poverty level is higher in Marietta at 11%, compared to 8% in Ewa beach.
- Marietta has a higher unemployment rate at 3.5% compared to 2.5% in Ewa beach.
Demographics
Demographics Ewa beach vs Marietta provide insight into the diversity of the communities to compare.
| Demographic | Ewa beach | Marietta |
|---|---|---|
| Black | Data is updating | 30 |
| White | 7 | 41 |
| Asian | 54 | 2 |
| Hispanic | 11 | 18 |
| Two or More Races | 28 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Ewa beach vs Marietta
- In Marietta, the percentage of Black residents is higher at 30% compared to 0% in Ewa beach.
- The percentage of White residents is higher in Marietta at 41% compared to 7% in Ewa beach.
- The Asian population is larger in Ewa beach at 54% compared to 2% in Marietta.
- Marietta has a higher percentage of Hispanic residents at 18%, compared to 11% in Ewa beach.
- More residents identify as two or more races in Ewa beach at 28% compared to 8% in Marietta.
- In Marietta, the percentage of American Indian residents is higher at 1%, compared to 0% in Ewa beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ewa beach | Marietta |
|---|---|---|
| Mental Health Not Good | 13.5% | 15.1% |
| Physical Health Not Good | 8.7% | 11.1% |
| Depression | 11.9% | 18.1% |
| Smoking | 13.0% | 14.5% |
| Binge Drinking | 16.8% | 14.5% |
| Obesity | 25.0% | 32.3% |
| Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Ewa beach vs Marietta
- In Marietta, a higher percentage report poor mental health at 15.1% compared to 13.5% in Ewa beach.
- Higher depression rates are seen in Marietta at 18.1% versus 11.9% in Ewa beach.
- Marietta has a higher smoking rate at 14.5% compared to 13.0% in Ewa beach.
- Binge drinking is more common in Ewa beach at 16.8% compared to 14.5% in Marietta.
- Marietta has higher obesity rates at 32.3% compared to 25.0% in Ewa beach.
- Disability percentages are higher in Ewa beach 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 | Ewa beach | Marietta |
|---|---|---|
| No Schooling | 2.2% (336) | 1.8% (1,148) |
| High School Diploma | 23.9% (3,619) | 10.0% (6,250) |
| Less than High School | 9.3% (1,409) | 13.1% (8,224) |
| Bachelor's Degree and Higher | 14.8% (2,251) | 29.9% (18,706) |
Education Levels Comparison: Ewa beach vs Marietta
- A higher percentage of residents in Ewa beach have no formal schooling at 2.2% compared to 1.8% in Marietta.
- A higher percentage of residents in Ewa beach hold a high school diploma at 23.9% compared to 10.0% in Marietta.
- The percentage of residents with less than a high school education is higher in Marietta at 13.1%, compared to 9.3% in Ewa beach.
- In Marietta, a larger share of residents have a bachelor's degree or higher at 29.9% 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.