Demographics details for Long beach, CA vs Elizabeth, WV
Population Overview
Compare main population characteristics in Long beach, CA vs Elizabeth, WV.
| Data | Long beach | Elizabeth |
|---|---|---|
| Population | 451,307 | 711 |
| Median Age | 36.1 years | 37.1 years |
| Median Income | $78,995 | $23,750 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 18% | 17% |
| Unemployment Rate | 6.0 | 4.1 |
Population Comparison: Long beach vs Elizabeth
- In Long beach, the population is higher at 451,307, compared to 711 in Elizabeth.
- The median age in Elizabeth is higher at 37.1 years, compared to 36.1 years in Long beach.
- Long beach has a higher median income of $78,995 compared to $23,750 in Elizabeth.
- In Elizabeth, the percentage of married families is higher at 35.0%, compared to 32.0% in Long beach.
- Long beach has a higher poverty level at 18% compared to 17% in Elizabeth.
- The unemployment rate in Long beach is higher at 6.0%, compared to 4.1% in Elizabeth.
Demographics
Demographics Long beach vs Elizabeth provide insight into the diversity of the communities to compare.
| Demographic | Long beach | Elizabeth |
|---|---|---|
| Black | 12 | 1 |
| White | 17 | 99 |
| Asian | 13 | Data is updating |
| Hispanic | 45 | Data is updating |
| Two or More Races | 12 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Long beach vs Elizabeth
- A higher percentage of Black residents are in Long beach at 12% compared to 1% in Elizabeth.
- The percentage of White residents is higher in Elizabeth at 99% compared to 17% in Long beach.
- The Asian population is larger in Long beach at 13% compared to 0% in Elizabeth.
- The Hispanic community is larger in Long beach at 45% compared to 0% in Elizabeth.
- More residents identify as two or more races in Long beach at 12% compared to 0% in Elizabeth.
- A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in Elizabeth.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Long beach | Elizabeth |
|---|---|---|
| Mental Health Not Good | 16.0% | 22.4% |
| Physical Health Not Good | 11.6% | 16.1% |
| Depression | 16.2% | 31.0% |
| Smoking | 12.0% | 25.4% |
| Binge Drinking | 14.9% | 13.5% |
| Obesity | 29.3% | 42.8% |
| Disability Percentage | 11.0% | 28.0% |
Health Statistics Comparison: Long beach vs Elizabeth
- In Elizabeth, a higher percentage report poor mental health at 22.4% compared to 16.0% in Long beach.
- Higher depression rates are seen in Elizabeth at 31.0% versus 16.2% in Long beach.
- Elizabeth has a higher smoking rate at 25.4% compared to 12.0% in Long beach.
- Binge drinking is more common in Long beach at 14.9% compared to 13.5% in Elizabeth.
- Elizabeth has higher obesity rates at 42.8% compared to 29.3% in Long beach.
- There is a higher percentage of disabled individuals in Elizabeth at 28.0% 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 | Elizabeth |
|---|---|---|
| No Schooling | 4.6% (20,870) | 0.0% (Data is updating) |
| High School Diploma | 11.0% (49,640) | 19.8% (141) |
| Less than High School | 23.7% (106,838) | 35.2% (250) |
| Bachelor's Degree and Higher | 23.8% (107,451) | 9.0% (64) |
Education Levels Comparison: Long beach vs Elizabeth
- A higher percentage of residents in Long beach have no formal schooling at 4.6% compared to 0.0% in Elizabeth.
- In Elizabeth, the rate of residents with high school diplomas is higher at 19.8% compared to 11.0% in Long beach.
- The percentage of residents with less than a high school education is higher in Elizabeth at 35.2%, 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 9.0% in Elizabeth.
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.