Demographics details for Oxford, MS vs Kelso, TN
Population Overview
Compare main population characteristics in Oxford, MS vs Kelso, TN.
| Data | Oxford | Kelso |
|---|---|---|
| Population | 26,437 | 185 |
| Median Age | 27.7 years | 42.0 years |
| Median Income | $56,784 | $60,000 |
| Married Families | 28.0% | 70.0% |
| Poverty Level | 18% | 13% |
| Unemployment Rate | 2.7 | 3.5 |
Population Comparison: Oxford vs Kelso
- In Oxford, the population is higher at 26,437, compared to 185 in Kelso.
- The median age in Kelso is higher at 42.0 years, compared to 27.7 years in Oxford.
- Kelso has a higher median income of $60,000, compared to $56,784 in Oxford.
- In Kelso, the percentage of married families is higher at 70.0%, compared to 28.0% in Oxford.
- Oxford has a higher poverty level at 18% compared to 13% in Kelso.
- Kelso has a higher unemployment rate at 3.5% compared to 2.7% in Oxford.
Demographics
Demographics Oxford vs Kelso provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Kelso |
|---|---|---|
| Black | 25 | Data is updating |
| White | 68 | 100 |
| Asian | 3 | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Kelso
- A higher percentage of Black residents are in Oxford at 25% compared to 0% in Kelso.
- The percentage of White residents is higher in Kelso at 100% compared to 68% in Oxford.
- The Asian population is larger in Oxford at 3% compared to 0% in Kelso.
- The Hispanic community is larger in Oxford at 2% compared to 0% in Kelso.
- More residents identify as two or more races in Oxford at 2% compared to 0% in Kelso.
- The percentage of American Indian residents is the same in both Oxford and Kelso at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Kelso |
|---|---|---|
| Mental Health Not Good | 15.1% | Data is updating% |
| Physical Health Not Good | 10.6% | Data is updating% |
| Depression | 21.3% | Data is updating% |
| Smoking | 15.2% | Data is updating% |
| Binge Drinking | 14.9% | Data is updating% |
| Obesity | 35.0% | Data is updating% |
| Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Oxford vs Kelso
- More residents in Oxford report poor mental health at 15.1% compared to 0.0% in Kelso.
- Depression is more prevalent in Oxford at 21.3% compared to 0.0% in Kelso.
- Smoking is more prevalent in Oxford at 15.2% compared to 0.0% in Kelso.
- Binge drinking is more common in Oxford at 14.9% compared to 0.0% in Kelso.
- Obesity rates are higher in Oxford at 35.0% compared to 0.0% in Kelso.
- Disability percentages are higher in Oxford at 8.0% compared to 0.0% in Kelso.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxford | Kelso |
|---|---|---|
| No Schooling | 0.4% (114) | 0.0% (Data is updating) |
| High School Diploma | 7.0% (1,862) | 0.0% (Data is updating) |
| Less than High School | 5.5% (1,444) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 33.0% (8,735) | 0.0% (Data is updating) |
Education Levels Comparison: Oxford vs Kelso
- A higher percentage of residents in Oxford have no formal schooling at 0.4% compared to 0.0% in Kelso.
- A higher percentage of residents in Oxford hold a high school diploma at 7.0% compared to 0.0% in Kelso.
- More residents in Oxford have less than a high school education at 5.5% compared to 0.0% in Kelso.
- A higher percentage of residents in Oxford hold a bachelor's degree or higher at 33.0% compared to 0.0% in Kelso.
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.