Demographics details for Milton, TN vs Oxford, MS
Population Overview
Compare main population characteristics in Milton, TN vs Oxford, MS.
| Data | Milton | Oxford |
|---|---|---|
| Population | 161 | 26,437 |
| Median Age | 37.0 years | 27.7 years |
| Median Income | $50,000 | $56,784 |
| Married Families | 57.0% | 28.0% |
| Poverty Level | 5% | 18% |
| Unemployment Rate | 4.2 | 2.7 |
Population Comparison: Milton vs Oxford
- The population in Oxford is higher at 26,437, compared to 161 in Milton.
- Residents in Milton have a higher median age of 37.0 years compared to 27.7 years in Oxford.
- Oxford has a higher median income of $56,784, compared to $50,000 in Milton.
- A higher percentage of married families is found in Milton at 57.0% compared to 28.0% in Oxford.
- The poverty level is higher in Oxford at 18%, compared to 5% in Milton.
- The unemployment rate in Milton is higher at 4.2%, compared to 2.7% in Oxford.
Demographics
Demographics Milton vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Milton | Oxford |
|---|---|---|
| Black | 5 | 25 |
| White | 85 | 68 |
| Asian | 2 | 3 |
| Hispanic | 5 | 2 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Milton vs Oxford
- In Oxford, the percentage of Black residents is higher at 25% compared to 5% in Milton.
- Milton has a higher percentage of White residents at 85% compared to 68% in Oxford.
- In Oxford, the Asian population stands at 3%, greater than 2% in Milton.
- The Hispanic community is larger in Milton at 5% compared to 2% in Oxford.
- More residents identify as two or more races in Milton at 3% compared to 2% in Oxford.
- The percentage of American Indian residents is the same in both Milton and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milton | Oxford |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.1% |
| Physical Health Not Good | Data is updating% | 10.6% |
| Depression | Data is updating% | 21.3% |
| Smoking | Data is updating% | 15.2% |
| Binge Drinking | Data is updating% | 14.9% |
| Obesity | Data is updating% | 35.0% |
| Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Milton vs Oxford
- In Oxford, a higher percentage report poor mental health at 15.1% compared to 0.0% in Milton.
- Higher depression rates are seen in Oxford at 21.3% versus 0.0% in Milton.
- Oxford has a higher smoking rate at 15.2% compared to 0.0% in Milton.
- More residents engage in binge drinking in Oxford at 14.9% compared to 0.0% in Milton.
- Oxford has higher obesity rates at 35.0% compared to 0.0% in Milton.
- There is a higher percentage of disabled individuals in Oxford at 8.0% compared to 0.0% in Milton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milton | Oxford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (114) |
| High School Diploma | 0.0% (Data is updating) | 7.0% (1,862) |
| Less than High School | 0.0% (Data is updating) | 5.5% (1,444) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 33.0% (8,735) |
Education Levels Comparison: Milton vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Milton.
- In Oxford, the rate of residents with high school diplomas is higher at 7.0% compared to 0.0% in Milton.
- The percentage of residents with less than a high school education is higher in Oxford at 5.5%, compared to 0.0% in Milton.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 33.0% compared to 0.0% in Milton.
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.