Demographics details for Oxford, AL vs Wichita falls, TX
Population Overview
Compare main population characteristics in Oxford, AL vs Wichita falls, TX.
| Data | Oxford | Wichita falls |
|---|---|---|
| Population | 22,002 | 102,664 |
| Median Age | 37.4 years | 32.8 years |
| Median Income | $66,031 | $55,584 |
| Married Families | 37.0% | 34.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 3.5 | 4.9 |
Population Comparison: Oxford vs Wichita falls
- The population in Wichita falls is higher at 102,664, compared to 22,002 in Oxford.
- Residents in Oxford have a higher median age of 37.4 years compared to 32.8 years in Wichita falls.
- Oxford has a higher median income of $66,031 compared to $55,584 in Wichita falls.
- A higher percentage of married families is found in Oxford at 37.0% compared to 34.0% in Wichita falls.
- The poverty level is higher in Wichita falls at 14%, compared to 10% in Oxford.
- Wichita falls has a higher unemployment rate at 4.9% compared to 3.5% in Oxford.
Demographics
Demographics Oxford vs Wichita falls provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Wichita falls |
|---|---|---|
| Black | 16 | 12 |
| White | 73 | 54 |
| Asian | 1 | 3 |
| Hispanic | 7 | 22 |
| Two or More Races | 3 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Oxford vs Wichita falls
- A higher percentage of Black residents are in Oxford at 16% compared to 12% in Wichita falls.
- Oxford has a higher percentage of White residents at 73% compared to 54% in Wichita falls.
- In Wichita falls, the Asian population stands at 3%, greater than 1% in Oxford.
- Wichita falls has a higher percentage of Hispanic residents at 22%, compared to 7% in Oxford.
- The percentage of residents identifying as two or more races is higher in Wichita falls at 8%, compared to 3% in Oxford.
- In Wichita falls, the percentage of American Indian residents is higher at 1%, compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Wichita falls |
|---|---|---|
| Mental Health Not Good | 18.8% | 18.3% |
| Physical Health Not Good | 13.2% | 12.5% |
| Depression | 23.8% | 24.6% |
| Smoking | 19.8% | 18.6% |
| Binge Drinking | 15.1% | 18.7% |
| Obesity | 37.4% | 37.1% |
| Disability Percentage | 19.0% | 13.0% |
Health Statistics Comparison: Oxford vs Wichita falls
- More residents in Oxford report poor mental health at 18.8% compared to 18.3% in Wichita falls.
- Higher depression rates are seen in Wichita falls at 24.6% versus 23.8% in Oxford.
- Smoking is more prevalent in Oxford at 19.8% compared to 18.6% in Wichita falls.
- More residents engage in binge drinking in Wichita falls at 18.7% compared to 15.1% in Oxford.
- Obesity rates are higher in Oxford at 37.4% compared to 37.1% in Wichita falls.
- Disability percentages are higher in Oxford at 19.0% compared to 13.0% in Wichita falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxford | Wichita falls |
|---|---|---|
| No Schooling | 1.4% (306) | 1.0% (1,035) |
| High School Diploma | 16.1% (3,534) | 15.1% (15,510) |
| Less than High School | 17.9% (3,933) | 14.6% (14,970) |
| Bachelor's Degree and Higher | 16.5% (3,625) | 15.1% (15,550) |
Education Levels Comparison: Oxford vs Wichita falls
- A higher percentage of residents in Oxford have no formal schooling at 1.4% compared to 1.0% in Wichita falls.
- A higher percentage of residents in Oxford hold a high school diploma at 16.1% compared to 15.1% in Wichita falls.
- More residents in Oxford have less than a high school education at 17.9% compared to 14.6% in Wichita falls.
- A higher percentage of residents in Oxford hold a bachelor's degree or higher at 16.5% compared to 15.1% in Wichita falls.
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.