Demographics details for Haltom city, TX vs Bieber, CA
Population Overview
Compare main population characteristics in Haltom city, TX vs Bieber, CA.
| Data | Haltom city | Bieber |
|---|---|---|
| Population | 45,525 | 151 |
| Median Age | 34.6 years | 33.6 years |
| Median Income | $57,649 | $46,667 |
| Married Families | 35.0% | 34.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 4.2 | 5.1 |
Population Comparison: Haltom city vs Bieber
- In Haltom city, the population is higher at 45,525, compared to 151 in Bieber.
- Residents in Haltom city have a higher median age of 34.6 years compared to 33.6 years in Bieber.
- Haltom city has a higher median income of $57,649 compared to $46,667 in Bieber.
- A higher percentage of married families is found in Haltom city at 35.0% compared to 34.0% in Bieber.
- Haltom city has a higher poverty level at 12% compared to 0% in Bieber.
- Bieber has a higher unemployment rate at 5.1% compared to 4.2% in Haltom city.
Demographics
Demographics Haltom city vs Bieber provide insight into the diversity of the communities to compare.
| Demographic | Haltom city | Bieber |
|---|---|---|
| Black | 6 | Data is updating |
| White | 28 | 94 |
| Asian | 10 | Data is updating |
| Hispanic | 45 | 3 |
| Two or More Races | 10 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Haltom city vs Bieber
- A higher percentage of Black residents are in Haltom city at 6% compared to 0% in Bieber.
- The percentage of White residents is higher in Bieber at 94% compared to 28% in Haltom city.
- The Asian population is larger in Haltom city at 10% compared to 0% in Bieber.
- The Hispanic community is larger in Haltom city at 45% compared to 3% in Bieber.
- More residents identify as two or more races in Haltom city at 10% compared to 3% in Bieber.
- A greater percentage of American Indian residents live in Haltom city at 1% compared to 0% in Bieber.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Haltom city | Bieber |
|---|---|---|
| Mental Health Not Good | 17.9% | 17.6% |
| Physical Health Not Good | 13.6% | 11.9% |
| Depression | 23.5% | 21.1% |
| Smoking | 19.0% | 14.9% |
| Binge Drinking | 16.1% | 18.1% |
| Obesity | 36.0% | 30.8% |
| Disability Percentage | 11.0% | 19.0% |
Health Statistics Comparison: Haltom city vs Bieber
- More residents in Haltom city report poor mental health at 17.9% compared to 17.6% in Bieber.
- Depression is more prevalent in Haltom city at 23.5% compared to 21.1% in Bieber.
- Smoking is more prevalent in Haltom city at 19.0% compared to 14.9% in Bieber.
- More residents engage in binge drinking in Bieber at 18.1% compared to 16.1% in Haltom city.
- Obesity rates are higher in Haltom city at 36.0% compared to 30.8% in Bieber.
- There is a higher percentage of disabled individuals in Bieber at 19.0% compared to 11.0% in Haltom city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Haltom city | Bieber |
|---|---|---|
| No Schooling | 1.8% (839) | 0.0% (Data is updating) |
| High School Diploma | 20.5% (9,350) | 13.2% (20) |
| Less than High School | 29.5% (13,443) | 5.3% (8) |
| Bachelor's Degree and Higher | 7.9% (3,583) | 6.0% (9) |
Education Levels Comparison: Haltom city vs Bieber
- A higher percentage of residents in Haltom city have no formal schooling at 1.8% compared to 0.0% in Bieber.
- A higher percentage of residents in Haltom city hold a high school diploma at 20.5% compared to 13.2% in Bieber.
- More residents in Haltom city have less than a high school education at 29.5% compared to 5.3% in Bieber.
- A higher percentage of residents in Haltom city hold a bachelor's degree or higher at 7.9% 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.