Demographics details for Ewa beach, HI vs Livingston, TX
Population Overview
Compare main population characteristics in Ewa beach, HI vs Livingston, TX.
| Data | Ewa beach | Livingston |
|---|---|---|
| Population | 15,167 | 5,784 |
| Median Age | 40.1 years | 36.9 years |
| Median Income | $114,207 | $47,952 |
| Married Families | 39.0% | 28.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Ewa beach vs Livingston
- In Ewa beach, the population is higher at 15,167, compared to 5,784 in Livingston.
- Residents in Ewa beach have a higher median age of 40.1 years compared to 36.9 years in Livingston.
- Ewa beach has a higher median income of $114,207 compared to $47,952 in Livingston.
- A higher percentage of married families is found in Ewa beach at 39.0% compared to 28.0% in Livingston.
- The poverty level is higher in Livingston at 12%, compared to 8% in Ewa beach.
- Livingston has a higher unemployment rate at 3.5% compared to 2.5% in Ewa beach.
Demographics
Demographics Ewa beach vs Livingston provide insight into the diversity of the communities to compare.
| Demographic | Ewa beach | Livingston |
|---|---|---|
| Black | Data is updating | 18 |
| White | 7 | 38 |
| Asian | 54 | 2 |
| Hispanic | 11 | 29 |
| Two or More Races | 28 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ewa beach vs Livingston
- In Livingston, the percentage of Black residents is higher at 18% compared to 0% in Ewa beach.
- The percentage of White residents is higher in Livingston at 38% compared to 7% in Ewa beach.
- The Asian population is larger in Ewa beach at 54% compared to 2% in Livingston.
- Livingston has a higher percentage of Hispanic residents at 29%, compared to 11% in Ewa beach.
- More residents identify as two or more races in Ewa beach at 28% compared to 13% in Livingston.
- The percentage of American Indian residents is the same in both Ewa beach and Livingston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ewa beach | Livingston |
|---|---|---|
| Mental Health Not Good | 13.5% | 18.7% |
| Physical Health Not Good | 8.7% | 13.1% |
| Depression | 11.9% | 24.1% |
| Smoking | 13.0% | 19.9% |
| Binge Drinking | 16.8% | 17.9% |
| Obesity | 25.0% | 42.1% |
| Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Ewa beach vs Livingston
- In Livingston, a higher percentage report poor mental health at 18.7% compared to 13.5% in Ewa beach.
- Higher depression rates are seen in Livingston at 24.1% versus 11.9% in Ewa beach.
- Livingston has a higher smoking rate at 19.9% compared to 13.0% in Ewa beach.
- More residents engage in binge drinking in Livingston at 17.9% compared to 16.8% in Ewa beach.
- Livingston has higher obesity rates at 42.1% compared to 25.0% in Ewa beach.
- There is a higher percentage of disabled individuals in Livingston at 19.0% 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 | Ewa beach | Livingston |
|---|---|---|
| No Schooling | 2.2% (336) | 2.1% (123) |
| High School Diploma | 23.9% (3,619) | 20.7% (1,198) |
| Less than High School | 9.3% (1,409) | 22.3% (1,289) |
| Bachelor's Degree and Higher | 14.8% (2,251) | 9.0% (518) |
Education Levels Comparison: Ewa beach vs Livingston
- A higher percentage of residents in Ewa beach have no formal schooling at 2.2% compared to 2.1% in Livingston.
- A higher percentage of residents in Ewa beach hold a high school diploma at 23.9% compared to 20.7% in Livingston.
- The percentage of residents with less than a high school education is higher in Livingston at 22.3%, 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 9.0% in Livingston.
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.