Demographics details for Washington, LA vs Long beach, CA
Population Overview
Compare main population characteristics in Washington, LA vs Long beach, CA.
| Data | Washington | Long beach |
|---|---|---|
| Population | 726 | 451,307 |
| Median Age | 26.6 years | 36.1 years |
| Median Income | $36,719 | $78,995 |
| Married Families | 23.0% | 32.0% |
| Poverty Level | 15% | 18% |
| Unemployment Rate | 5.2 | 6.0 |
Population Comparison: Washington vs Long beach
- The population in Long beach is higher at 451,307, compared to 726 in Washington.
- The median age in Long beach is higher at 36.1 years, compared to 26.6 years in Washington.
- Long beach has a higher median income of $78,995, compared to $36,719 in Washington.
- In Long beach, the percentage of married families is higher at 32.0%, compared to 23.0% in Washington.
- The poverty level is higher in Long beach at 18%, compared to 15% in Washington.
- Long beach has a higher unemployment rate at 6.0% compared to 5.2% in Washington.
Demographics
Demographics Washington vs Long beach provide insight into the diversity of the communities to compare.
| Demographic | Washington | Long beach |
|---|---|---|
| Black | 65 | 12 |
| White | 20 | 17 |
| Asian | Data is updating | 13 |
| Hispanic | 3 | 45 |
| Two or More Races | 12 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Washington vs Long beach
- A higher percentage of Black residents are in Washington at 65% compared to 12% in Long beach.
- Washington has a higher percentage of White residents at 20% compared to 17% in Long beach.
- In Long beach, the Asian population stands at 13%, greater than 0% in Washington.
- Long beach has a higher percentage of Hispanic residents at 45%, compared to 3% in Washington.
- Both Washington and Long beach have the same percentage of residents identifying as two or more races at 12%.
- In Long beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Long beach |
|---|---|---|
| Mental Health Not Good | 21.1% | 16.0% |
| Physical Health Not Good | 15.3% | 11.6% |
| Depression | 25.5% | 16.2% |
| Smoking | 26.0% | 12.0% |
| Binge Drinking | 15.1% | 14.9% |
| Obesity | 41.5% | 29.3% |
| Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Washington vs Long beach
- More residents in Washington report poor mental health at 21.1% compared to 16.0% in Long beach.
- Depression is more prevalent in Washington at 25.5% compared to 16.2% in Long beach.
- Smoking is more prevalent in Washington at 26.0% compared to 12.0% in Long beach.
- Binge drinking is more common in Washington at 15.1% compared to 14.9% in Long beach.
- Obesity rates are higher in Washington at 41.5% compared to 29.3% in Long beach.
- There is a higher percentage of disabled individuals in Long beach at 11.0% compared to 9.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Long beach |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 4.6% (20,870) |
| High School Diploma | 20.2% (147) | 11.0% (49,640) |
| Less than High School | 27.7% (201) | 23.7% (106,838) |
| Bachelor's Degree and Higher | 7.3% (53) | 23.8% (107,451) |
Education Levels Comparison: Washington vs Long beach
- In Long beach, a larger percentage of residents lack formal schooling at 4.6% compared to 0.0% in Washington.
- A higher percentage of residents in Washington hold a high school diploma at 20.2% compared to 11.0% in Long beach.
- More residents in Washington have less than a high school education at 27.7% compared to 23.7% in Long beach.
- In Long beach, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 7.3% in Washington.
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.