Demographics details for Greenwood, IN vs Ewa beach, HI
Population Overview
Compare main population characteristics in Greenwood, IN vs Ewa beach, HI.
Data | Greenwood | Ewa beach |
---|---|---|
Population | 65,406 | 15,167 |
Median Age | 36.2 years | 40.1 years |
Median Income | $75,398 | $114,207 |
Married Families | 40.0% | 39.0% |
Poverty Level | 7% | 8% |
Unemployment Rate | 3.8 | 2.5 |
Population Comparison: Greenwood vs Ewa beach
- In Greenwood, the population is higher at 65,406, compared to 15,167 in Ewa beach.
- The median age in Ewa beach is higher at 40.1 years, compared to 36.2 years in Greenwood.
- Ewa beach has a higher median income of $114,207, compared to $75,398 in Greenwood.
- A higher percentage of married families is found in Greenwood at 40.0% compared to 39.0% in Ewa beach.
- The poverty level is higher in Ewa beach at 8%, compared to 7% in Greenwood.
- The unemployment rate in Greenwood is higher at 3.8%, compared to 2.5% in Ewa beach.
Demographics
Demographics Greenwood vs Ewa beach provide insight into the diversity of the communities to compare.
Demographic | Greenwood | Ewa beach |
---|---|---|
Black | 4 | Data is updating |
White | 76 | 7 |
Asian | 7 | 54 |
Hispanic | 7 | 11 |
Two or More Races | 6 | 28 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Greenwood vs Ewa beach
- A higher percentage of Black residents are in Greenwood at 4% compared to 0% in Ewa beach.
- Greenwood has a higher percentage of White residents at 76% compared to 7% in Ewa beach.
- In Ewa beach, the Asian population stands at 54%, greater than 7% in Greenwood.
- Ewa beach has a higher percentage of Hispanic residents at 11%, compared to 7% in Greenwood.
- The percentage of residents identifying as two or more races is higher in Ewa beach at 28%, compared to 6% in Greenwood.
- The percentage of American Indian residents is the same in both Greenwood and Ewa beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Greenwood | Ewa beach |
---|---|---|
Mental Health Not Good | 16.5% | 13.5% |
Physical Health Not Good | 10.4% | 8.7% |
Depression | 27.4% | 11.9% |
Smoking | 17.2% | 13.0% |
Binge Drinking | 16.9% | 16.8% |
Obesity | 40.0% | 25.0% |
Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Greenwood vs Ewa beach
- More residents in Greenwood report poor mental health at 16.5% compared to 13.5% in Ewa beach.
- Depression is more prevalent in Greenwood at 27.4% compared to 11.9% in Ewa beach.
- Smoking is more prevalent in Greenwood at 17.2% compared to 13.0% in Ewa beach.
- Binge drinking is more common in Greenwood at 16.9% compared to 16.8% in Ewa beach.
- Obesity rates are higher in Greenwood at 40.0% compared to 25.0% in Ewa beach.
- There is a higher percentage of disabled individuals in Ewa beach at 10.0% compared to 9.0% in Greenwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Greenwood | Ewa beach |
---|---|---|
No Schooling | 1.5% (1,000) | 2.2% (336) |
High School Diploma | 17.0% (11,136) | 23.9% (3,619) |
Less than High School | 10.7% (6,995) | 9.3% (1,409) |
Bachelor's Degree and Higher | 20.0% (13,060) | 14.8% (2,251) |
Education Levels Comparison: Greenwood vs Ewa beach
- In Ewa beach, a larger percentage of residents lack formal schooling at 2.2% compared to 1.5% in Greenwood.
- In Ewa beach, the rate of residents with high school diplomas is higher at 23.9% compared to 17.0% in Greenwood.
- More residents in Greenwood have less than a high school education at 10.7% compared to 9.3% in Ewa beach.
- A higher percentage of residents in Greenwood hold a bachelor's degree or higher at 20.0% 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.