Demographics details for Webster, FL vs Bieber, CA
Population Overview
Compare main population characteristics in Webster, FL vs Bieber, CA.
| Data | Webster | Bieber |
|---|---|---|
| Population | 878 | 151 |
| Median Age | 42.4 years | 33.6 years |
| Median Income | $53,125 | $46,667 |
| Married Families | 35.0% | 34.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Webster vs Bieber
- In Webster, the population is higher at 878, compared to 151 in Bieber.
- Residents in Webster have a higher median age of 42.4 years compared to 33.6 years in Bieber.
- Webster has a higher median income of $53,125 compared to $46,667 in Bieber.
- A higher percentage of married families is found in Webster at 35.0% compared to 34.0% in Bieber.
- Webster has a higher poverty level at 12% compared to 0% in Bieber.
- Bieber has a higher unemployment rate at 5.1% compared to 3.5% in Webster.
Demographics
Demographics Webster vs Bieber provide insight into the diversity of the communities to compare.
| Demographic | Webster | Bieber |
|---|---|---|
| Black | 15 | Data is updating |
| White | 75 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 62 | 3 |
| Two or More Races | 31 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Webster vs Bieber
- A higher percentage of Black residents are in Webster at 15% compared to 0% in Bieber.
- The percentage of White residents is higher in Bieber at 94% compared to 75% in Webster.
- Both Webster and Bieber have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Webster at 62% compared to 3% in Bieber.
- More residents identify as two or more races in Webster at 31% compared to 3% in Bieber.
- The percentage of American Indian residents is the same in both Webster and Bieber at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webster | Bieber |
|---|---|---|
| Mental Health Not Good | 18.9% | 17.6% |
| Physical Health Not Good | 15.6% | 11.9% |
| Depression | 20.6% | 21.1% |
| Smoking | 26.9% | 14.9% |
| Binge Drinking | 14.7% | 18.1% |
| Obesity | 42.4% | 30.8% |
| Disability Percentage | 19.0% | 19.0% |
Health Statistics Comparison: Webster vs Bieber
- More residents in Webster report poor mental health at 18.9% compared to 17.6% in Bieber.
- Higher depression rates are seen in Bieber at 21.1% versus 20.6% in Webster.
- Smoking is more prevalent in Webster at 26.9% compared to 14.9% in Bieber.
- More residents engage in binge drinking in Bieber at 18.1% compared to 14.7% in Webster.
- Obesity rates are higher in Webster at 42.4% compared to 30.8% in Bieber.
- Disability percentages are the same in both Webster and Bieber at 19.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Webster | Bieber |
|---|---|---|
| No Schooling | 5.8% (51) | 0.0% (Data is updating) |
| High School Diploma | 32.9% (289) | 13.2% (20) |
| Less than High School | 36.4% (320) | 5.3% (8) |
| Bachelor's Degree and Higher | 9.3% (82) | 6.0% (9) |
Education Levels Comparison: Webster vs Bieber
- A higher percentage of residents in Webster have no formal schooling at 5.8% compared to 0.0% in Bieber.
- A higher percentage of residents in Webster hold a high school diploma at 32.9% compared to 13.2% in Bieber.
- More residents in Webster have less than a high school education at 36.4% compared to 5.3% in Bieber.
- A higher percentage of residents in Webster hold a bachelor's degree or higher at 9.3% compared to 6.0% in Bieber.
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.