Demographics details for Long beach, CA vs White swan, WA
Population Overview
Compare main population characteristics in Long beach, CA vs White swan, WA.
| Data | Long beach | White swan |
|---|---|---|
| Population | 451,307 | 561 |
| Median Age | 36.1 years | 24.5 years |
| Median Income | $78,995 | $51,667 |
| Married Families | 32.0% | 13.0% |
| Poverty Level | 18% | 12% |
| Unemployment Rate | 6.0 | 8.2 |
Population Comparison: Long beach vs White swan
- In Long beach, the population is higher at 451,307, compared to 561 in White swan.
- Residents in Long beach have a higher median age of 36.1 years compared to 24.5 years in White swan.
- Long beach has a higher median income of $78,995 compared to $51,667 in White swan.
- A higher percentage of married families is found in Long beach at 32.0% compared to 13.0% in White swan.
- Long beach has a higher poverty level at 18% compared to 12% in White swan.
- White swan has a higher unemployment rate at 8.2% compared to 6.0% in Long beach.
Demographics
Demographics Long beach vs White swan provide insight into the diversity of the communities to compare.
| Demographic | Long beach | White swan |
|---|---|---|
| Black | 12 | Data is updating |
| White | 17 | -6 |
| Asian | 13 | Data is updating |
| Hispanic | 45 | 26 |
| Two or More Races | 12 | 10 |
| American Indian | 1 | 70 |
Demographics Comparison: Long beach vs White swan
- A higher percentage of Black residents are in Long beach at 12% compared to 0% in White swan.
- Long beach has a higher percentage of White residents at 17% compared to -6% in White swan.
- The Asian population is larger in Long beach at 13% compared to 0% in White swan.
- The Hispanic community is larger in Long beach at 45% compared to 26% in White swan.
- More residents identify as two or more races in Long beach at 12% compared to 10% in White swan.
- In White swan, the percentage of American Indian residents is higher at 70%, compared to 1% in Long beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Long beach | White swan |
|---|---|---|
| Mental Health Not Good | 16.0% | 22.0% |
| Physical Health Not Good | 11.6% | 18.1% |
| Depression | 16.2% | 24.7% |
| Smoking | 12.0% | 26.0% |
| Binge Drinking | 14.9% | 15.8% |
| Obesity | 29.3% | 43.8% |
| Disability Percentage | 11.0% | 21.0% |
Health Statistics Comparison: Long beach vs White swan
- In White swan, a higher percentage report poor mental health at 22.0% compared to 16.0% in Long beach.
- Higher depression rates are seen in White swan at 24.7% versus 16.2% in Long beach.
- White swan has a higher smoking rate at 26.0% compared to 12.0% in Long beach.
- More residents engage in binge drinking in White swan at 15.8% compared to 14.9% in Long beach.
- White swan has higher obesity rates at 43.8% compared to 29.3% in Long beach.
- There is a higher percentage of disabled individuals in White swan at 21.0% compared to 11.0% in Long beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Long beach | White swan |
|---|---|---|
| No Schooling | 4.6% (20,870) | 0.0% (Data is updating) |
| High School Diploma | 11.0% (49,640) | 16.4% (92) |
| Less than High School | 23.7% (106,838) | 24.8% (139) |
| Bachelor's Degree and Higher | 23.8% (107,451) | 0.9% (5) |
Education Levels Comparison: Long beach vs White swan
- A higher percentage of residents in Long beach have no formal schooling at 4.6% compared to 0.0% in White swan.
- In White swan, the rate of residents with high school diplomas is higher at 16.4% compared to 11.0% in Long beach.
- The percentage of residents with less than a high school education is higher in White swan at 24.8%, compared to 23.7% in Long beach.
- A higher percentage of residents in Long beach hold a bachelor's degree or higher at 23.8% compared to 0.9% in White swan.
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.