Demographics details for Sweetwater, TX vs Bieber, CA
Population Overview
Compare main population characteristics in Sweetwater, TX vs Bieber, CA.
| Data | Sweetwater | Bieber |
|---|---|---|
| Population | 10,408 | 151 |
| Median Age | 35.7 years | 33.6 years |
| Median Income | $44,306 | $46,667 |
| Married Families | 32.0% | 34.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 5.4 | 5.1 |
Population Comparison: Sweetwater vs Bieber
- In Sweetwater, the population is higher at 10,408, compared to 151 in Bieber.
- Residents in Sweetwater have a higher median age of 35.7 years compared to 33.6 years in Bieber.
- Bieber has a higher median income of $46,667, compared to $44,306 in Sweetwater.
- In Bieber, the percentage of married families is higher at 34.0%, compared to 32.0% in Sweetwater.
- Sweetwater has a higher poverty level at 15% compared to 0% in Bieber.
- The unemployment rate in Sweetwater is higher at 5.4%, compared to 5.1% in Bieber.
Demographics
Demographics Sweetwater vs Bieber provide insight into the diversity of the communities to compare.
| Demographic | Sweetwater | Bieber |
|---|---|---|
| Black | 6 | Data is updating |
| White | 34 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 46 | 3 |
| Two or More Races | 13 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Sweetwater vs Bieber
- A higher percentage of Black residents are in Sweetwater at 6% compared to 0% in Bieber.
- The percentage of White residents is higher in Bieber at 94% compared to 34% in Sweetwater.
- Both Sweetwater and Bieber have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Sweetwater at 46% compared to 3% in Bieber.
- More residents identify as two or more races in Sweetwater at 13% compared to 3% in Bieber.
- A greater percentage of American Indian residents live in Sweetwater at 1% compared to 0% in Bieber.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sweetwater | Bieber |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.6% |
| Physical Health Not Good | 14.3% | 11.9% |
| Depression | 24.2% | 21.1% |
| Smoking | 20.3% | 14.9% |
| Binge Drinking | 17.3% | 18.1% |
| Obesity | 38.9% | 30.8% |
| Disability Percentage | 21.0% | 19.0% |
Health Statistics Comparison: Sweetwater vs Bieber
- More residents in Sweetwater report poor mental health at 19.1% compared to 17.6% in Bieber.
- Depression is more prevalent in Sweetwater at 24.2% compared to 21.1% in Bieber.
- Smoking is more prevalent in Sweetwater at 20.3% compared to 14.9% in Bieber.
- More residents engage in binge drinking in Bieber at 18.1% compared to 17.3% in Sweetwater.
- Obesity rates are higher in Sweetwater at 38.9% compared to 30.8% in Bieber.
- Disability percentages are higher in Sweetwater at 21.0% 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 | Sweetwater | Bieber |
|---|---|---|
| No Schooling | 1.9% (194) | 0.0% (Data is updating) |
| High School Diploma | 16.0% (1,666) | 13.2% (20) |
| Less than High School | 23.1% (2,408) | 5.3% (8) |
| Bachelor's Degree and Higher | 7.0% (733) | 6.0% (9) |
Education Levels Comparison: Sweetwater vs Bieber
- A higher percentage of residents in Sweetwater have no formal schooling at 1.9% compared to 0.0% in Bieber.
- A higher percentage of residents in Sweetwater hold a high school diploma at 16.0% compared to 13.2% in Bieber.
- More residents in Sweetwater have less than a high school education at 23.1% compared to 5.3% in Bieber.
- A higher percentage of residents in Sweetwater hold a bachelor's degree or higher at 7.0% 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.