Demographics details for Long beach, CA vs Webster, FL
Population Overview
Compare main population characteristics in Long beach, CA vs Webster, FL.
| Data | Long beach | Webster |
|---|---|---|
| Population | 451,307 | 878 |
| Median Age | 36.1 years | 42.4 years |
| Median Income | $78,995 | $53,125 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 18% | 12% |
| Unemployment Rate | 6.0 | 3.5 |
Population Comparison: Long beach vs Webster
- In Long beach, the population is higher at 451,307, compared to 878 in Webster.
- The median age in Webster is higher at 42.4 years, compared to 36.1 years in Long beach.
- Long beach has a higher median income of $78,995 compared to $53,125 in Webster.
- In Webster, 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 12% in Webster.
- The unemployment rate in Long beach is higher at 6.0%, compared to 3.5% in Webster.
Demographics
Demographics Long beach vs Webster provide insight into the diversity of the communities to compare.
| Demographic | Long beach | Webster |
|---|---|---|
| Black | 12 | 15 |
| White | 17 | 75 |
| Asian | 13 | Data is updating |
| Hispanic | 45 | 62 |
| Two or More Races | 12 | 31 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Long beach vs Webster
- In Webster, the percentage of Black residents is higher at 15% compared to 12% in Long beach.
- The percentage of White residents is higher in Webster at 75% compared to 17% in Long beach.
- The Asian population is larger in Long beach at 13% compared to 0% in Webster.
- Webster has a higher percentage of Hispanic residents at 62%, compared to 45% in Long beach.
- The percentage of residents identifying as two or more races is higher in Webster at 31%, compared to 12% in Long beach.
- A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in Webster.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Long beach | Webster |
|---|---|---|
| Mental Health Not Good | 16.0% | 18.9% |
| Physical Health Not Good | 11.6% | 15.6% |
| Depression | 16.2% | 20.6% |
| Smoking | 12.0% | 26.9% |
| Binge Drinking | 14.9% | 14.7% |
| Obesity | 29.3% | 42.4% |
| Disability Percentage | 11.0% | 19.0% |
Health Statistics Comparison: Long beach vs Webster
- In Webster, a higher percentage report poor mental health at 18.9% compared to 16.0% in Long beach.
- Higher depression rates are seen in Webster at 20.6% versus 16.2% in Long beach.
- Webster has a higher smoking rate at 26.9% compared to 12.0% in Long beach.
- Binge drinking is more common in Long beach at 14.9% compared to 14.7% in Webster.
- Webster has higher obesity rates at 42.4% compared to 29.3% in Long beach.
- There is a higher percentage of disabled individuals in Webster at 19.0% 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 | Webster |
|---|---|---|
| No Schooling | 4.6% (20,870) | 5.8% (51) |
| High School Diploma | 11.0% (49,640) | 32.9% (289) |
| Less than High School | 23.7% (106,838) | 36.4% (320) |
| Bachelor's Degree and Higher | 23.8% (107,451) | 9.3% (82) |
Education Levels Comparison: Long beach vs Webster
- In Webster, a larger percentage of residents lack formal schooling at 5.8% compared to 4.6% in Long beach.
- In Webster, the rate of residents with high school diplomas is higher at 32.9% compared to 11.0% in Long beach.
- The percentage of residents with less than a high school education is higher in Webster at 36.4%, 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 9.3% in Webster.
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.