Demographics details for Bixby, OK vs Port lavaca, TX
Population Overview
Compare main population characteristics in Bixby, OK vs Port lavaca, TX.
| Data | Bixby | Port lavaca |
|---|---|---|
| Population | 29,800 | 11,262 |
| Median Age | 36.8 years | 34.8 years |
| Median Income | $93,765 | $58,871 |
| Married Families | 44.0% | 42.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.3 | 4.2 |
Population Comparison: Bixby vs Port lavaca
- In Bixby, the population is higher at 29,800, compared to 11,262 in Port lavaca.
- Residents in Bixby have a higher median age of 36.8 years compared to 34.8 years in Port lavaca.
- Bixby has a higher median income of $93,765 compared to $58,871 in Port lavaca.
- A higher percentage of married families is found in Bixby at 44.0% compared to 42.0% in Port lavaca.
- The poverty level is higher in Port lavaca at 15%, compared to 5% in Bixby.
- Port lavaca has a higher unemployment rate at 4.2% compared to 3.3% in Bixby.
Demographics
Demographics Bixby vs Port lavaca provide insight into the diversity of the communities to compare.
| Demographic | Bixby | Port lavaca |
|---|---|---|
| Black | 2 | 5 |
| White | 71 | 6 |
| Asian | 4 | 7 |
| Hispanic | 7 | 64 |
| Two or More Races | 11 | 18 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Bixby vs Port lavaca
- In Port lavaca, the percentage of Black residents is higher at 5% compared to 2% in Bixby.
- Bixby has a higher percentage of White residents at 71% compared to 6% in Port lavaca.
- In Port lavaca, the Asian population stands at 7%, greater than 4% in Bixby.
- Port lavaca has a higher percentage of Hispanic residents at 64%, compared to 7% in Bixby.
- The percentage of residents identifying as two or more races is higher in Port lavaca at 18%, compared to 11% in Bixby.
- A greater percentage of American Indian residents live in Bixby at 5% compared to 0% in Port lavaca.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bixby | Port lavaca |
|---|---|---|
| Mental Health Not Good | 15.8% | 17.3% |
| Physical Health Not Good | 9.2% | 13.3% |
| Depression | 24.5% | 21.5% |
| Smoking | 12.8% | 17.5% |
| Binge Drinking | 15.7% | 16.9% |
| Obesity | 32.1% | 38.4% |
| Disability Percentage | 8.0% | 18.0% |
Health Statistics Comparison: Bixby vs Port lavaca
- In Port lavaca, a higher percentage report poor mental health at 17.3% compared to 15.8% in Bixby.
- Depression is more prevalent in Bixby at 24.5% compared to 21.5% in Port lavaca.
- Port lavaca has a higher smoking rate at 17.5% compared to 12.8% in Bixby.
- More residents engage in binge drinking in Port lavaca at 16.9% compared to 15.7% in Bixby.
- Port lavaca has higher obesity rates at 38.4% compared to 32.1% in Bixby.
- There is a higher percentage of disabled individuals in Port lavaca at 18.0% compared to 8.0% in Bixby.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bixby | Port lavaca |
|---|---|---|
| No Schooling | 0.5% (154) | 2.0% (230) |
| High School Diploma | 10.8% (3,233) | 21.3% (2,404) |
| Less than High School | 5.5% (1,652) | 24.2% (2,728) |
| Bachelor's Degree and Higher | 27.9% (8,313) | 9.7% (1,091) |
Education Levels Comparison: Bixby vs Port lavaca
- In Port lavaca, a larger percentage of residents lack formal schooling at 2.0% compared to 0.5% in Bixby.
- In Port lavaca, the rate of residents with high school diplomas is higher at 21.3% compared to 10.8% in Bixby.
- The percentage of residents with less than a high school education is higher in Port lavaca at 24.2%, compared to 5.5% in Bixby.
- A higher percentage of residents in Bixby hold a bachelor's degree or higher at 27.9% compared to 9.7% in Port lavaca.
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.