Demographics details for Oxford, MS vs Clayton, OH
Population Overview
Compare main population characteristics in Oxford, MS vs Clayton, OH.
| Data | Oxford | Clayton |
|---|---|---|
| Population | 26,437 | 13,235 |
| Median Age | 27.7 years | 46.0 years |
| Median Income | $56,784 | $89,282 |
| Married Families | 28.0% | 47.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 2.7 | 3.5 |
Population Comparison: Oxford vs Clayton
- In Oxford, the population is higher at 26,437, compared to 13,235 in Clayton.
- The median age in Clayton is higher at 46.0 years, compared to 27.7 years in Oxford.
- Clayton has a higher median income of $89,282, compared to $56,784 in Oxford.
- In Clayton, the percentage of married families is higher at 47.0%, compared to 28.0% in Oxford.
- Oxford has a higher poverty level at 18% compared to 10% in Clayton.
- Clayton has a higher unemployment rate at 3.5% compared to 2.7% in Oxford.
Demographics
Demographics Oxford vs Clayton provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Clayton |
|---|---|---|
| Black | 25 | 30 |
| White | 68 | 61 |
| Asian | 3 | 2 |
| Hispanic | 2 | 2 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Clayton
- In Clayton, the percentage of Black residents is higher at 30% compared to 25% in Oxford.
- Oxford has a higher percentage of White residents at 68% compared to 61% in Clayton.
- The Asian population is larger in Oxford at 3% compared to 2% in Clayton.
- The percentage of Hispanic residents is the same in both Oxford and Clayton at 2%.
- The percentage of residents identifying as two or more races is higher in Clayton at 5%, compared to 2% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Clayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Clayton |
|---|---|---|
| Mental Health Not Good | 15.1% | 16.8% |
| Physical Health Not Good | 10.6% | 10.3% |
| Depression | 21.3% | 24.4% |
| Smoking | 15.2% | 15.3% |
| Binge Drinking | 14.9% | 18.9% |
| Obesity | 35.0% | 37.4% |
| Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Oxford vs Clayton
- In Clayton, a higher percentage report poor mental health at 16.8% compared to 15.1% in Oxford.
- Higher depression rates are seen in Clayton at 24.4% versus 21.3% in Oxford.
- Clayton has a higher smoking rate at 15.3% compared to 15.2% in Oxford.
- More residents engage in binge drinking in Clayton at 18.9% compared to 14.9% in Oxford.
- Clayton has higher obesity rates at 37.4% compared to 35.0% in Oxford.
- There is a higher percentage of disabled individuals in Clayton at 13.0% 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 | Oxford | Clayton |
|---|---|---|
| No Schooling | 0.4% (114) | 0.2% (30) |
| High School Diploma | 7.0% (1,862) | 17.9% (2,371) |
| Less than High School | 5.5% (1,444) | 5.6% (746) |
| Bachelor's Degree and Higher | 33.0% (8,735) | 26.3% (3,484) |
Education Levels Comparison: Oxford vs Clayton
- A higher percentage of residents in Oxford have no formal schooling at 0.4% compared to 0.2% in Clayton.
- In Clayton, the rate of residents with high school diplomas is higher at 17.9% compared to 7.0% in Oxford.
- The percentage of residents with less than a high school education is higher in Clayton at 5.6%, compared to 5.5% in Oxford.
- A higher percentage of residents in Oxford hold a bachelor's degree or higher at 33.0% compared to 26.3% in Clayton.
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.