Demographics details for Ewa beach, HI vs Pendergrass, GA
Population Overview
Compare main population characteristics in Ewa beach, HI vs Pendergrass, GA.
| Data | Ewa beach | Pendergrass |
|---|---|---|
| Population | 15,167 | 1,758 |
| Median Age | 40.1 years | 31.8 years |
| Median Income | $114,207 | $73,947 |
| Married Families | 39.0% | 36.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 2.5 | 2.5 |
Population Comparison: Ewa beach vs Pendergrass
- In Ewa beach, the population is higher at 15,167, compared to 1,758 in Pendergrass.
- Residents in Ewa beach have a higher median age of 40.1 years compared to 31.8 years in Pendergrass.
- Ewa beach has a higher median income of $114,207 compared to $73,947 in Pendergrass.
- A higher percentage of married families is found in Ewa beach at 39.0% compared to 36.0% in Pendergrass.
- The poverty level is higher in Pendergrass at 12%, compared to 8% in Ewa beach.
- The unemployment rate is the same in both Ewa beach and Pendergrass at 2.5%.
Demographics
Demographics Ewa beach vs Pendergrass provide insight into the diversity of the communities to compare.
| Demographic | Ewa beach | Pendergrass |
|---|---|---|
| Black | Data is updating | 15 |
| White | 7 | 55 |
| Asian | 54 | 3 |
| Hispanic | 11 | 19 |
| Two or More Races | 28 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ewa beach vs Pendergrass
- In Pendergrass, the percentage of Black residents is higher at 15% compared to 0% in Ewa beach.
- The percentage of White residents is higher in Pendergrass at 55% compared to 7% in Ewa beach.
- The Asian population is larger in Ewa beach at 54% compared to 3% in Pendergrass.
- Pendergrass has a higher percentage of Hispanic residents at 19%, compared to 11% in Ewa beach.
- More residents identify as two or more races in Ewa beach at 28% compared to 8% in Pendergrass.
- The percentage of American Indian residents is the same in both Ewa beach and Pendergrass at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ewa beach | Pendergrass |
|---|---|---|
| Mental Health Not Good | 13.5% | 17.3% |
| Physical Health Not Good | 8.7% | 12.4% |
| Depression | 11.9% | 23.8% |
| Smoking | 13.0% | 18.6% |
| Binge Drinking | 16.8% | 17.1% |
| Obesity | 25.0% | 32.0% |
| Disability Percentage | 10.0% | 4.0% |
Health Statistics Comparison: Ewa beach vs Pendergrass
- In Pendergrass, a higher percentage report poor mental health at 17.3% compared to 13.5% in Ewa beach.
- Higher depression rates are seen in Pendergrass at 23.8% versus 11.9% in Ewa beach.
- Pendergrass has a higher smoking rate at 18.6% compared to 13.0% in Ewa beach.
- More residents engage in binge drinking in Pendergrass at 17.1% compared to 16.8% in Ewa beach.
- Pendergrass has higher obesity rates at 32.0% compared to 25.0% in Ewa beach.
- Disability percentages are higher in Ewa beach at 10.0% compared to 4.0% in Pendergrass.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ewa beach | Pendergrass |
|---|---|---|
| No Schooling | 2.2% (336) | 1.9% (33) |
| High School Diploma | 23.9% (3,619) | 13.6% (239) |
| Less than High School | 9.3% (1,409) | 18.0% (317) |
| Bachelor's Degree and Higher | 14.8% (2,251) | 11.4% (201) |
Education Levels Comparison: Ewa beach vs Pendergrass
- A higher percentage of residents in Ewa beach have no formal schooling at 2.2% compared to 1.9% in Pendergrass.
- A higher percentage of residents in Ewa beach hold a high school diploma at 23.9% compared to 13.6% in Pendergrass.
- The percentage of residents with less than a high school education is higher in Pendergrass at 18.0%, compared to 9.3% in Ewa beach.
- A higher percentage of residents in Ewa beach hold a bachelor's degree or higher at 14.8% compared to 11.4% in Pendergrass.
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.