Demographics details for Griffin, GA vs Ewa beach, HI
Population Overview
Compare main population characteristics in Griffin, GA vs Ewa beach, HI.
Data | Griffin | Ewa beach |
---|---|---|
Population | 23,693 | 15,167 |
Median Age | 33.2 years | 40.1 years |
Median Income | $42,047 | $114,207 |
Married Families | 26.0% | 39.0% |
Poverty Level | 15% | 8% |
Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Griffin vs Ewa beach
- In Griffin, the population is higher at 23,693, compared to 15,167 in Ewa beach.
- The median age in Ewa beach is higher at 40.1 years, compared to 33.2 years in Griffin.
- Ewa beach has a higher median income of $114,207, compared to $42,047 in Griffin.
- In Ewa beach, the percentage of married families is higher at 39.0%, compared to 26.0% in Griffin.
- Griffin has a higher poverty level at 15% compared to 8% in Ewa beach.
- The unemployment rate in Griffin is higher at 4.5%, compared to 2.5% in Ewa beach.
Demographics
Demographics Griffin vs Ewa beach provide insight into the diversity of the communities to compare.
Demographic | Griffin | Ewa beach |
---|---|---|
Black | 52 | Data is updating |
White | 36 | 7 |
Asian | 1 | 54 |
Hispanic | 5 | 11 |
Two or More Races | 5 | 28 |
American Indian | 1 | Data is updating |
Demographics Comparison: Griffin vs Ewa beach
- A higher percentage of Black residents are in Griffin at 52% compared to 0% in Ewa beach.
- Griffin has a higher percentage of White residents at 36% compared to 7% in Ewa beach.
- In Ewa beach, the Asian population stands at 54%, greater than 1% in Griffin.
- Ewa beach has a higher percentage of Hispanic residents at 11%, compared to 5% in Griffin.
- The percentage of residents identifying as two or more races is higher in Ewa beach at 28%, compared to 5% in Griffin.
- A greater percentage of American Indian residents live in Griffin at 1% compared to 0% in Ewa beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Griffin | Ewa beach |
---|---|---|
Mental Health Not Good | 18.8% | 13.5% |
Physical Health Not Good | 14.6% | 8.7% |
Depression | 19.7% | 11.9% |
Smoking | 22.4% | 13.0% |
Binge Drinking | 13.4% | 16.8% |
Obesity | 38.8% | 25.0% |
Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Griffin vs Ewa beach
- More residents in Griffin report poor mental health at 18.8% compared to 13.5% in Ewa beach.
- Depression is more prevalent in Griffin at 19.7% compared to 11.9% in Ewa beach.
- Smoking is more prevalent in Griffin at 22.4% compared to 13.0% in Ewa beach.
- More residents engage in binge drinking in Ewa beach at 16.8% compared to 13.4% in Griffin.
- Obesity rates are higher in Griffin at 38.8% compared to 25.0% in Ewa beach.
- Disability percentages are higher in Griffin at 13.0% 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 | Griffin | Ewa beach |
---|---|---|
No Schooling | 2.2% (517) | 2.2% (336) |
High School Diploma | 22.6% (5,347) | 23.9% (3,619) |
Less than High School | 16.3% (3,859) | 9.3% (1,409) |
Bachelor's Degree and Higher | 11.9% (2,819) | 14.8% (2,251) |
Education Levels Comparison: Griffin vs Ewa beach
- The percentage of residents with no formal schooling is the same in both Griffin and Ewa beach at 2.2%.
- In Ewa beach, the rate of residents with high school diplomas is higher at 23.9% compared to 22.6% in Griffin.
- More residents in Griffin have less than a high school education at 16.3% 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 11.9% in Griffin.
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.