Demographics details for Flemington, NJ vs Ewa beach, HI
Population Overview
Compare main population characteristics in Flemington, NJ vs Ewa beach, HI.
| Data | Flemington | Ewa beach |
|---|---|---|
| Population | 4,906 | 15,167 |
| Median Age | 32.4 years | 40.1 years |
| Median Income | $85,306 | $114,207 |
| Married Families | 41.0% | 39.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Flemington vs Ewa beach
- The population in Ewa beach is higher at 15,167, compared to 4,906 in Flemington.
- The median age in Ewa beach is higher at 40.1 years, compared to 32.4 years in Flemington.
- Ewa beach has a higher median income of $114,207, compared to $85,306 in Flemington.
- A higher percentage of married families is found in Flemington at 41.0% compared to 39.0% in Ewa beach.
- The poverty level is higher in Ewa beach at 8%, compared to 5% in Flemington.
- The unemployment rate in Flemington is higher at 3.5%, compared to 2.5% in Ewa beach.
Demographics
Demographics Flemington vs Ewa beach provide insight into the diversity of the communities to compare.
| Demographic | Flemington | Ewa beach |
|---|---|---|
| Black | 6 | Data is updating |
| White | 58 | 7 |
| Asian | 5 | 54 |
| Hispanic | 25 | 11 |
| Two or More Races | 6 | 28 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Flemington vs Ewa beach
- A higher percentage of Black residents are in Flemington at 6% compared to 0% in Ewa beach.
- Flemington has a higher percentage of White residents at 58% compared to 7% in Ewa beach.
- In Ewa beach, the Asian population stands at 54%, greater than 5% in Flemington.
- The Hispanic community is larger in Flemington at 25% compared to 11% in Ewa beach.
- The percentage of residents identifying as two or more races is higher in Ewa beach at 28%, compared to 6% in Flemington.
- The percentage of American Indian residents is the same in both Flemington and Ewa beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Flemington | Ewa beach |
|---|---|---|
| Mental Health Not Good | 17.2% | 13.5% |
| Physical Health Not Good | 13.4% | 8.7% |
| Depression | 23.8% | 11.9% |
| Smoking | 18.6% | 13.0% |
| Binge Drinking | 16.8% | 16.8% |
| Obesity | 34.8% | 25.0% |
| Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Flemington vs Ewa beach
- More residents in Flemington report poor mental health at 17.2% compared to 13.5% in Ewa beach.
- Depression is more prevalent in Flemington at 23.8% compared to 11.9% in Ewa beach.
- Smoking is more prevalent in Flemington at 18.6% compared to 13.0% in Ewa beach.
- Binge drinking rates are similar in both Flemington and Ewa beach at 16.8%.
- Obesity rates are higher in Flemington at 34.8% 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 Flemington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Flemington | Ewa beach |
|---|---|---|
| No Schooling | 2.6% (128) | 2.2% (336) |
| High School Diploma | 16.8% (825) | 23.9% (3,619) |
| Less than High School | 23.5% (1,155) | 9.3% (1,409) |
| Bachelor's Degree and Higher | 22.8% (1,117) | 14.8% (2,251) |
Education Levels Comparison: Flemington vs Ewa beach
- A higher percentage of residents in Flemington have no formal schooling at 2.6% compared to 2.2% in Ewa beach.
- In Ewa beach, the rate of residents with high school diplomas is higher at 23.9% compared to 16.8% in Flemington.
- More residents in Flemington have less than a high school education at 23.5% compared to 9.3% in Ewa beach.
- A higher percentage of residents in Flemington hold a bachelor's degree or higher at 22.8% 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.