Demographics details for Kaufman, TX vs Oxford, MS
Population Overview
Compare main population characteristics in Kaufman, TX vs Oxford, MS.
| Data | Kaufman | Oxford |
|---|---|---|
| Population | 172,366 | 26,437 |
| Median Age | 34.6 years | 27.7 years |
| Median Income | $84,075 | $56,784 |
| Married Families | 36.0% | 28.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 4.8 | 2.7 |
Population Comparison: Kaufman vs Oxford
- In Kaufman, the population is higher at 172,366, compared to 26,437 in Oxford.
- Residents in Kaufman have a higher median age of 34.6 years compared to 27.7 years in Oxford.
- Kaufman has a higher median income of $84,075 compared to $56,784 in Oxford.
- A higher percentage of married families is found in Kaufman at 36.0% compared to 28.0% in Oxford.
- The poverty level is higher in Oxford at 18%, compared to 10% in Kaufman.
- The unemployment rate in Kaufman is higher at 4.8%, compared to 2.7% in Oxford.
Demographics
Demographics Kaufman vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Kaufman | Oxford |
|---|---|---|
| Black | 13 | 25 |
| White | 53 | 68 |
| Asian | 1 | 3 |
| Hispanic | 22 | 2 |
| Two or More Races | 11 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kaufman vs Oxford
- In Oxford, the percentage of Black residents is higher at 25% compared to 13% in Kaufman.
- The percentage of White residents is higher in Oxford at 68% compared to 53% in Kaufman.
- In Oxford, the Asian population stands at 3%, greater than 1% in Kaufman.
- The Hispanic community is larger in Kaufman at 22% compared to 2% in Oxford.
- More residents identify as two or more races in Kaufman at 11% compared to 2% in Oxford.
- The percentage of American Indian residents is the same in both Kaufman and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kaufman | Oxford |
|---|---|---|
| Mental Health Not Good | 16.8% | 15.1% |
| Physical Health Not Good | 11.4% | 10.6% |
| Depression | 22.6% | 21.3% |
| Smoking | 16.1% | 15.2% |
| Binge Drinking | 18.2% | 14.9% |
| Obesity | 36.6% | 35.0% |
| Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: Kaufman vs Oxford
- More residents in Kaufman report poor mental health at 16.8% compared to 15.1% in Oxford.
- Depression is more prevalent in Kaufman at 22.6% compared to 21.3% in Oxford.
- Smoking is more prevalent in Kaufman at 16.1% compared to 15.2% in Oxford.
- Binge drinking is more common in Kaufman at 18.2% compared to 14.9% in Oxford.
- Obesity rates are higher in Kaufman at 36.6% compared to 35.0% in Oxford.
- Disability percentages are higher in Kaufman at 9.0% compared to 8.0% in Oxford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kaufman | Oxford |
|---|---|---|
| No Schooling | 1.4% (2,482) | 0.4% (114) |
| High School Diploma | 12.9% (22,235) | 7.0% (1,862) |
| Less than High School | 14.2% (24,496) | 5.5% (1,444) |
| Bachelor's Degree and Higher | 13.1% (22,541) | 33.0% (8,735) |
Education Levels Comparison: Kaufman vs Oxford
- A higher percentage of residents in Kaufman have no formal schooling at 1.4% compared to 0.4% in Oxford.
- A higher percentage of residents in Kaufman hold a high school diploma at 12.9% compared to 7.0% in Oxford.
- More residents in Kaufman have less than a high school education at 14.2% compared to 5.5% in Oxford.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 33.0% compared to 13.1% in Kaufman.
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.