Demographics details for Fairfield bay, AR vs Bieber, CA
Population Overview
Compare main population characteristics in Fairfield bay, AR vs Bieber, CA.
| Data | Fairfield bay | Bieber |
|---|---|---|
| Population | 2,152 | 151 |
| Median Age | 68.2 years | 33.6 years |
| Median Income | $58,750 | $46,667 |
| Married Families | 48.0% | 34.0% |
| Poverty Level | Data is updating | Data is updating |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Fairfield bay vs Bieber
- In Fairfield bay, the population is higher at 2,152, compared to 151 in Bieber.
- Residents in Fairfield bay have a higher median age of 68.2 years compared to 33.6 years in Bieber.
- Fairfield bay has a higher median income of $58,750 compared to $46,667 in Bieber.
- A higher percentage of married families is found in Fairfield bay at 48.0% compared to 34.0% in Bieber.
- The poverty level is identical in both Fairfield bay and Bieber at 0%.
- Bieber has a higher unemployment rate at 5.1% compared to 3.5% in Fairfield bay.
Demographics
Demographics Fairfield bay vs Bieber provide insight into the diversity of the communities to compare.
| Demographic | Fairfield bay | Bieber |
|---|---|---|
| Black | 1 | Data is updating |
| White | 86 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 7 | 3 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Fairfield bay vs Bieber
- A higher percentage of Black residents are in Fairfield bay at 1% compared to 0% in Bieber.
- The percentage of White residents is higher in Bieber at 94% compared to 86% in Fairfield bay.
- The Asian population is larger in Fairfield bay at 1% compared to 0% in Bieber.
- The Hispanic community is larger in Fairfield bay at 7% compared to 3% in Bieber.
- More residents identify as two or more races in Fairfield bay at 5% compared to 3% in Bieber.
- The percentage of American Indian residents is the same in both Fairfield bay and Bieber at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fairfield bay | Bieber |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.6% |
| Physical Health Not Good | 12.7% | 11.9% |
| Depression | 27.1% | 21.1% |
| Smoking | 20.2% | 14.9% |
| Binge Drinking | 15.7% | 18.1% |
| Obesity | 37.3% | 30.8% |
| Disability Percentage | 32.0% | 19.0% |
Health Statistics Comparison: Fairfield bay vs Bieber
- More residents in Fairfield bay report poor mental health at 19.1% compared to 17.6% in Bieber.
- Depression is more prevalent in Fairfield bay at 27.1% compared to 21.1% in Bieber.
- Smoking is more prevalent in Fairfield bay at 20.2% compared to 14.9% in Bieber.
- More residents engage in binge drinking in Bieber at 18.1% compared to 15.7% in Fairfield bay.
- Obesity rates are higher in Fairfield bay at 37.3% compared to 30.8% in Bieber.
- Disability percentages are higher in Fairfield bay at 32.0% compared to 19.0% in Bieber.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fairfield bay | Bieber |
|---|---|---|
| No Schooling | 0.2% (5) | 0.0% (Data is updating) |
| High School Diploma | 24.6% (529) | 13.2% (20) |
| Less than High School | 7.0% (151) | 5.3% (8) |
| Bachelor's Degree and Higher | 33.9% (729) | 6.0% (9) |
Education Levels Comparison: Fairfield bay vs Bieber
- A higher percentage of residents in Fairfield bay have no formal schooling at 0.2% compared to 0.0% in Bieber.
- A higher percentage of residents in Fairfield bay hold a high school diploma at 24.6% compared to 13.2% in Bieber.
- More residents in Fairfield bay have less than a high school education at 7.0% compared to 5.3% in Bieber.
- A higher percentage of residents in Fairfield bay hold a bachelor's degree or higher at 33.9% 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.