Demographics details for Bieber, CA vs Waterford, CT
Population Overview
Compare main population characteristics in Bieber, CA vs Waterford, CT.
| Data | Bieber | Waterford |
|---|---|---|
| Population | 151 | 3,276 |
| Median Age | 33.6 years | 45.2 years |
| Median Income | $46,667 | $74,701 |
| Married Families | 34.0% | 34.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | 5.1 | 3.7 |
Population Comparison: Bieber vs Waterford
- The population in Waterford is higher at 3,276, compared to 151 in Bieber.
- The median age in Waterford is higher at 45.2 years, compared to 33.6 years in Bieber.
- Waterford has a higher median income of $74,701, compared to $46,667 in Bieber.
- The percentage of married families is the same in both Bieber and Waterford at 34.0%.
- The poverty level is higher in Waterford at 5%, compared to 0% in Bieber.
- The unemployment rate in Bieber is higher at 5.1%, compared to 3.7% in Waterford.
Demographics
Demographics Bieber vs Waterford provide insight into the diversity of the communities to compare.
| Demographic | Bieber | Waterford |
|---|---|---|
| Black | Data is updating | 4 |
| White | 94 | 80 |
| Asian | Data is updating | 5 |
| Hispanic | 3 | 5 |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bieber vs Waterford
- In Waterford, the percentage of Black residents is higher at 4% compared to 0% in Bieber.
- Bieber has a higher percentage of White residents at 94% compared to 80% in Waterford.
- In Waterford, the Asian population stands at 5%, greater than 0% in Bieber.
- Waterford has a higher percentage of Hispanic residents at 5%, compared to 3% in Bieber.
- The percentage of residents identifying as two or more races is higher in Waterford at 6%, compared to 3% in Bieber.
- The percentage of American Indian residents is the same in both Bieber and Waterford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bieber | Waterford |
|---|---|---|
| Mental Health Not Good | 17.6% | 16.7% |
| Physical Health Not Good | 11.9% | 10.4% |
| Depression | 21.1% | 24.0% |
| Smoking | 14.9% | 17.5% |
| Binge Drinking | 18.1% | 17.2% |
| Obesity | 30.8% | 32.3% |
| Disability Percentage | 19.0% | 17.0% |
Health Statistics Comparison: Bieber vs Waterford
- More residents in Bieber report poor mental health at 17.6% compared to 16.7% in Waterford.
- Higher depression rates are seen in Waterford at 24.0% versus 21.1% in Bieber.
- Waterford has a higher smoking rate at 17.5% compared to 14.9% in Bieber.
- Binge drinking is more common in Bieber at 18.1% compared to 17.2% in Waterford.
- Waterford has higher obesity rates at 32.3% compared to 30.8% in Bieber.
- Disability percentages are higher in Bieber at 19.0% compared to 17.0% in Waterford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bieber | Waterford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (17) |
| High School Diploma | 13.2% (20) | 22.6% (739) |
| Less than High School | 5.3% (8) | 5.9% (193) |
| Bachelor's Degree and Higher | 6.0% (9) | 17.8% (582) |
Education Levels Comparison: Bieber vs Waterford
- In Waterford, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Bieber.
- In Waterford, the rate of residents with high school diplomas is higher at 22.6% compared to 13.2% in Bieber.
- The percentage of residents with less than a high school education is higher in Waterford at 5.9%, compared to 5.3% in Bieber.
- In Waterford, a larger share of residents have a bachelor's degree or higher at 17.8% 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.