Demographics details for Brownsville, TX vs Oxford, AL
Population Overview
Compare main population characteristics in Brownsville, TX vs Oxford, AL.
| Data | Brownsville | Oxford |
|---|---|---|
| Population | 189,382 | 22,002 |
| Median Age | 30.7 years | 37.4 years |
| Median Income | $46,735 | $66,031 |
| Married Families | 35.0% | 37.0% |
| Poverty Level | 23% | 10% |
| Unemployment Rate | 6.4 | 3.5 |
Population Comparison: Brownsville vs Oxford
- In Brownsville, the population is higher at 189,382, compared to 22,002 in Oxford.
- The median age in Oxford is higher at 37.4 years, compared to 30.7 years in Brownsville.
- Oxford has a higher median income of $66,031, compared to $46,735 in Brownsville.
- In Oxford, the percentage of married families is higher at 37.0%, compared to 35.0% in Brownsville.
- Brownsville has a higher poverty level at 23% compared to 10% in Oxford.
- The unemployment rate in Brownsville is higher at 6.4%, compared to 3.5% in Oxford.
Demographics
Demographics Brownsville vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Brownsville | Oxford |
|---|---|---|
| Black | Data is updating | 16 |
| White | -26 | 73 |
| Asian | 1 | 1 |
| Hispanic | 93 | 7 |
| Two or More Races | 32 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Brownsville vs Oxford
- In Oxford, the percentage of Black residents is higher at 16% compared to 0% in Brownsville.
- The percentage of White residents is higher in Oxford at 73% compared to -26% in Brownsville.
- Both Brownsville and Oxford have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Brownsville at 93% compared to 7% in Oxford.
- More residents identify as two or more races in Brownsville at 32% compared to 3% in Oxford.
- The percentage of American Indian residents is the same in both Brownsville and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Brownsville | Oxford |
|---|---|---|
| Mental Health Not Good | 17.9% | 18.8% |
| Physical Health Not Good | 15.8% | 13.2% |
| Depression | 19.8% | 23.8% |
| Smoking | 16.7% | 19.8% |
| Binge Drinking | 15.7% | 15.1% |
| Obesity | 45.3% | 37.4% |
| Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Brownsville vs Oxford
- In Oxford, a higher percentage report poor mental health at 18.8% compared to 17.9% in Brownsville.
- Higher depression rates are seen in Oxford at 23.8% versus 19.8% in Brownsville.
- Oxford has a higher smoking rate at 19.8% compared to 16.7% in Brownsville.
- Binge drinking is more common in Brownsville at 15.7% compared to 15.1% in Oxford.
- Obesity rates are higher in Brownsville at 45.3% compared to 37.4% in Oxford.
- There is a higher percentage of disabled individuals in Oxford at 19.0% compared to 10.0% in Brownsville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Brownsville | Oxford |
|---|---|---|
| No Schooling | 2.8% (5,275) | 1.4% (306) |
| High School Diploma | 11.6% (21,963) | 16.1% (3,534) |
| Less than High School | 35.5% (67,319) | 17.9% (3,933) |
| Bachelor's Degree and Higher | 12.0% (22,792) | 16.5% (3,625) |
Education Levels Comparison: Brownsville vs Oxford
- A higher percentage of residents in Brownsville have no formal schooling at 2.8% compared to 1.4% in Oxford.
- In Oxford, the rate of residents with high school diplomas is higher at 16.1% compared to 11.6% in Brownsville.
- More residents in Brownsville have less than a high school education at 35.5% compared to 17.9% in Oxford.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 16.5% compared to 12.0% in Brownsville.
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.