Demographics details for Delmar, DE vs Ewa beach, HI
Population Overview
Compare main population characteristics in Delmar, DE vs Ewa beach, HI.
| Data | Delmar | Ewa beach |
|---|---|---|
| Population | 2,178 | 15,167 |
| Median Age | 36.5 years | 40.1 years |
| Median Income | $55,625 | $114,207 |
| Married Families | 33.0% | 39.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Delmar vs Ewa beach
- The population in Ewa beach is higher at 15,167, compared to 2,178 in Delmar.
- The median age in Ewa beach is higher at 40.1 years, compared to 36.5 years in Delmar.
- Ewa beach has a higher median income of $114,207, compared to $55,625 in Delmar.
- In Ewa beach, the percentage of married families is higher at 39.0%, compared to 33.0% in Delmar.
- The poverty level is identical in both Delmar and Ewa beach at 8%.
- The unemployment rate in Delmar is higher at 4.5%, compared to 2.5% in Ewa beach.
Demographics
Demographics Delmar vs Ewa beach provide insight into the diversity of the communities to compare.
| Demographic | Delmar | Ewa beach |
|---|---|---|
| Black | 29 | Data is updating |
| White | 56 | 7 |
| Asian | 1 | 54 |
| Hispanic | 6 | 11 |
| Two or More Races | 8 | 28 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Delmar vs Ewa beach
- A higher percentage of Black residents are in Delmar at 29% compared to 0% in Ewa beach.
- Delmar has a higher percentage of White residents at 56% compared to 7% in Ewa beach.
- In Ewa beach, the Asian population stands at 54%, greater than 1% in Delmar.
- Ewa beach has a higher percentage of Hispanic residents at 11%, compared to 6% in Delmar.
- The percentage of residents identifying as two or more races is higher in Ewa beach at 28%, compared to 8% in Delmar.
- The percentage of American Indian residents is the same in both Delmar and Ewa beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Delmar | Ewa beach |
|---|---|---|
| Mental Health Not Good | 17.0% | 13.5% |
| Physical Health Not Good | 12.6% | 8.7% |
| Depression | 20.2% | 11.9% |
| Smoking | 19.0% | 13.0% |
| Binge Drinking | 15.9% | 16.8% |
| Obesity | 37.5% | 25.0% |
| Disability Percentage | 18.0% | 10.0% |
Health Statistics Comparison: Delmar vs Ewa beach
- More residents in Delmar report poor mental health at 17.0% compared to 13.5% in Ewa beach.
- Depression is more prevalent in Delmar at 20.2% compared to 11.9% in Ewa beach.
- Smoking is more prevalent in Delmar at 19.0% compared to 13.0% in Ewa beach.
- More residents engage in binge drinking in Ewa beach at 16.8% compared to 15.9% in Delmar.
- Obesity rates are higher in Delmar at 37.5% compared to 25.0% in Ewa beach.
- Disability percentages are higher in Delmar at 18.0% compared to 10.0% in Ewa beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Delmar | Ewa beach |
|---|---|---|
| No Schooling | 0.0% (1) | 2.2% (336) |
| High School Diploma | 26.6% (580) | 23.9% (3,619) |
| Less than High School | 12.6% (275) | 9.3% (1,409) |
| Bachelor's Degree and Higher | 14.2% (309) | 14.8% (2,251) |
Education Levels Comparison: Delmar vs Ewa beach
- In Ewa beach, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Delmar.
- A higher percentage of residents in Delmar hold a high school diploma at 26.6% compared to 23.9% in Ewa beach.
- More residents in Delmar have less than a high school education at 12.6% compared to 9.3% in Ewa beach.
- In Ewa beach, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 14.2% in Delmar.
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.