Demographics details for Banning, CA vs Haltom city, TX
Population Overview
Compare main population characteristics in Banning, CA vs Haltom city, TX.
| Data | Banning | Haltom city |
|---|---|---|
| Population | 30,683 | 45,525 |
| Median Age | 42.8 years | 34.6 years |
| Median Income | $54,083 | $57,649 |
| Married Families | 35.0% | 35.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 6.5 | 4.2 |
Population Comparison: Banning vs Haltom city
- The population in Haltom city is higher at 45,525, compared to 30,683 in Banning.
- Residents in Banning have a higher median age of 42.8 years compared to 34.6 years in Haltom city.
- Haltom city has a higher median income of $57,649, compared to $54,083 in Banning.
- The percentage of married families is the same in both Banning and Haltom city at 35.0%.
- Banning has a higher poverty level at 14% compared to 12% in Haltom city.
- The unemployment rate in Banning is higher at 6.5%, compared to 4.2% in Haltom city.
Demographics
Demographics Banning vs Haltom city provide insight into the diversity of the communities to compare.
| Demographic | Banning | Haltom city |
|---|---|---|
| Black | 7 | 6 |
| White | 21 | 28 |
| Asian | 5 | 10 |
| Hispanic | 48 | 45 |
| Two or More Races | 17 | 10 |
| American Indian | 2 | 1 |
Demographics Comparison: Banning vs Haltom city
- A higher percentage of Black residents are in Banning at 7% compared to 6% in Haltom city.
- The percentage of White residents is higher in Haltom city at 28% compared to 21% in Banning.
- In Haltom city, the Asian population stands at 10%, greater than 5% in Banning.
- The Hispanic community is larger in Banning at 48% compared to 45% in Haltom city.
- More residents identify as two or more races in Banning at 17% compared to 10% in Haltom city.
- A greater percentage of American Indian residents live in Banning at 2% compared to 1% in Haltom city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Banning | Haltom city |
|---|---|---|
| Mental Health Not Good | 18.1% | 17.9% |
| Physical Health Not Good | 13.9% | 13.6% |
| Depression | 18.5% | 23.5% |
| Smoking | 17.2% | 19.0% |
| Binge Drinking | 15.2% | 16.1% |
| Obesity | 39.1% | 36.0% |
| Disability Percentage | 20.0% | 11.0% |
Health Statistics Comparison: Banning vs Haltom city
- More residents in Banning report poor mental health at 18.1% compared to 17.9% in Haltom city.
- Higher depression rates are seen in Haltom city at 23.5% versus 18.5% in Banning.
- Haltom city has a higher smoking rate at 19.0% compared to 17.2% in Banning.
- More residents engage in binge drinking in Haltom city at 16.1% compared to 15.2% in Banning.
- Obesity rates are higher in Banning at 39.1% compared to 36.0% in Haltom city.
- Disability percentages are higher in Banning at 20.0% 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 | Banning | Haltom city |
|---|---|---|
| No Schooling | 2.4% (749) | 1.8% (839) |
| High School Diploma | 18.4% (5,655) | 20.5% (9,350) |
| Less than High School | 21.9% (6,720) | 29.5% (13,443) |
| Bachelor's Degree and Higher | 11.4% (3,495) | 7.9% (3,583) |
Education Levels Comparison: Banning vs Haltom city
- A higher percentage of residents in Banning have no formal schooling at 2.4% compared to 1.8% in Haltom city.
- In Haltom city, the rate of residents with high school diplomas is higher at 20.5% compared to 18.4% in Banning.
- The percentage of residents with less than a high school education is higher in Haltom city at 29.5%, compared to 21.9% in Banning.
- A higher percentage of residents in Banning hold a bachelor's degree or higher at 11.4% compared to 7.9% in Haltom city.
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.