Demographics details for Oxford, AL vs Baton rouge, LA
Population Overview
Compare main population characteristics in Oxford, AL vs Baton rouge, LA.
| Data | Oxford | Baton rouge |
|---|---|---|
| Population | 22,002 | 221,453 |
| Median Age | 37.4 years | 31.9 years |
| Median Income | $66,031 | $50,155 |
| Married Families | 37.0% | 25.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 3.5 | 4.7 |
Population Comparison: Oxford vs Baton rouge
- The population in Baton rouge is higher at 221,453, compared to 22,002 in Oxford.
- Residents in Oxford have a higher median age of 37.4 years compared to 31.9 years in Baton rouge.
- Oxford has a higher median income of $66,031 compared to $50,155 in Baton rouge.
- A higher percentage of married families is found in Oxford at 37.0% compared to 25.0% in Baton rouge.
- The poverty level is higher in Baton rouge at 20%, compared to 10% in Oxford.
- Baton rouge has a higher unemployment rate at 4.7% compared to 3.5% in Oxford.
Demographics
Demographics Oxford vs Baton rouge provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Baton rouge |
|---|---|---|
| Black | 16 | 53 |
| White | 73 | 35 |
| Asian | 1 | 4 |
| Hispanic | 7 | 4 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Baton rouge
- In Baton rouge, the percentage of Black residents is higher at 53% compared to 16% in Oxford.
- Oxford has a higher percentage of White residents at 73% compared to 35% in Baton rouge.
- In Baton rouge, the Asian population stands at 4%, greater than 1% in Oxford.
- The Hispanic community is larger in Oxford at 7% compared to 4% in Baton rouge.
- The percentage of residents identifying as two or more races is higher in Baton rouge at 4%, compared to 3% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Baton rouge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Baton rouge |
|---|---|---|
| Mental Health Not Good | 18.8% | 19.5% |
| Physical Health Not Good | 13.2% | 13.5% |
| Depression | 23.8% | 25.3% |
| Smoking | 19.8% | 21.8% |
| Binge Drinking | 15.1% | 15.9% |
| Obesity | 37.4% | 39.3% |
| Disability Percentage | 19.0% | 17.0% |
Health Statistics Comparison: Oxford vs Baton rouge
- In Baton rouge, a higher percentage report poor mental health at 19.5% compared to 18.8% in Oxford.
- Higher depression rates are seen in Baton rouge at 25.3% versus 23.8% in Oxford.
- Baton rouge has a higher smoking rate at 21.8% compared to 19.8% in Oxford.
- More residents engage in binge drinking in Baton rouge at 15.9% compared to 15.1% in Oxford.
- Baton rouge has higher obesity rates at 39.3% compared to 37.4% in Oxford.
- Disability percentages are higher in Oxford at 19.0% compared to 17.0% in Baton rouge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxford | Baton rouge |
|---|---|---|
| No Schooling | 1.4% (306) | 1.0% (2,299) |
| High School Diploma | 16.1% (3,534) | 13.9% (30,876) |
| Less than High School | 17.9% (3,933) | 9.0% (19,945) |
| Bachelor's Degree and Higher | 16.5% (3,625) | 22.4% (49,640) |
Education Levels Comparison: Oxford vs Baton rouge
- A higher percentage of residents in Oxford have no formal schooling at 1.4% compared to 1.0% in Baton rouge.
- A higher percentage of residents in Oxford hold a high school diploma at 16.1% compared to 13.9% in Baton rouge.
- More residents in Oxford have less than a high school education at 17.9% compared to 9.0% in Baton rouge.
- In Baton rouge, a larger share of residents have a bachelor's degree or higher at 22.4% compared to 16.5% in Oxford.
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.