Demographics details for Oxford, AL vs Clifton hill, MO
Population Overview
Compare main population characteristics in Oxford, AL vs Clifton hill, MO.
| Data | Oxford | Clifton hill |
|---|---|---|
| Population | 22,002 | 87 |
| Median Age | 37.4 years | 28.3 years |
| Median Income | $66,031 | $45,500 |
| Married Families | 37.0% | 31.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Oxford vs Clifton hill
- In Oxford, the population is higher at 22,002, compared to 87 in Clifton hill.
- Residents in Oxford have a higher median age of 37.4 years compared to 28.3 years in Clifton hill.
- Oxford has a higher median income of $66,031 compared to $45,500 in Clifton hill.
- A higher percentage of married families is found in Oxford at 37.0% compared to 31.0% in Clifton hill.
- The poverty level is identical in both Oxford and Clifton hill at 10%.
- The unemployment rate is the same in both Oxford and Clifton hill at 3.5%.
Demographics
Demographics Oxford vs Clifton hill provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Clifton hill |
|---|---|---|
| Black | 16 | Data is updating |
| White | 73 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 7 | Data is updating |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Clifton hill
- A higher percentage of Black residents are in Oxford at 16% compared to 0% in Clifton hill.
- The percentage of White residents is higher in Clifton hill at 94% compared to 73% in Oxford.
- The Asian population is larger in Oxford at 1% compared to 0% in Clifton hill.
- The Hispanic community is larger in Oxford at 7% compared to 0% in Clifton hill.
- The percentage of residents identifying as two or more races is higher in Clifton hill at 6%, compared to 3% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Clifton hill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Clifton hill |
|---|---|---|
| Mental Health Not Good | 18.8% | 17.9% |
| Physical Health Not Good | 13.2% | 14.3% |
| Depression | 23.8% | 25.9% |
| Smoking | 19.8% | 21.4% |
| Binge Drinking | 15.1% | 16.0% |
| Obesity | 37.4% | 41.6% |
| Disability Percentage | 19.0% | 6.0% |
Health Statistics Comparison: Oxford vs Clifton hill
- More residents in Oxford report poor mental health at 18.8% compared to 17.9% in Clifton hill.
- Higher depression rates are seen in Clifton hill at 25.9% versus 23.8% in Oxford.
- Clifton hill has a higher smoking rate at 21.4% compared to 19.8% in Oxford.
- More residents engage in binge drinking in Clifton hill at 16.0% compared to 15.1% in Oxford.
- Clifton hill has higher obesity rates at 41.6% compared to 37.4% in Oxford.
- Disability percentages are higher in Oxford at 19.0% compared to 6.0% in Clifton hill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxford | Clifton hill |
|---|---|---|
| No Schooling | 1.4% (306) | 0.0% (Data is updating) |
| High School Diploma | 16.1% (3,534) | 26.4% (23) |
| Less than High School | 17.9% (3,933) | 13.8% (12) |
| Bachelor's Degree and Higher | 16.5% (3,625) | 3.4% (3) |
Education Levels Comparison: Oxford vs Clifton hill
- A higher percentage of residents in Oxford have no formal schooling at 1.4% compared to 0.0% in Clifton hill.
- In Clifton hill, the rate of residents with high school diplomas is higher at 26.4% compared to 16.1% in Oxford.
- More residents in Oxford have less than a high school education at 17.9% compared to 13.8% in Clifton hill.
- A higher percentage of residents in Oxford hold a bachelor's degree or higher at 16.5% compared to 3.4% in Clifton hill.
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.