Demographics details for Oxford, AL vs Morris chapel, TN
Population Overview
Compare main population characteristics in Oxford, AL vs Morris chapel, TN.
Data | Oxford | Morris chapel |
---|---|---|
Population | 22,002 | 178 |
Median Age | 37.4 years | 37.0 years |
Median Income | $66,031 | $50,000 |
Married Families | 37.0% | 50.0% |
Poverty Level | 10% | 13% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Oxford vs Morris chapel
- In Oxford, the population is higher at 22,002, compared to 178 in Morris chapel.
- Residents in Oxford have a higher median age of 37.4 years compared to 37.0 years in Morris chapel.
- Oxford has a higher median income of $66,031 compared to $50,000 in Morris chapel.
- In Morris chapel, the percentage of married families is higher at 50.0%, compared to 37.0% in Oxford.
- The poverty level is higher in Morris chapel at 13%, compared to 10% in Oxford.
- Morris chapel has a higher unemployment rate at 4.5% compared to 3.5% in Oxford.
Demographics
Demographics Oxford vs Morris chapel provide insight into the diversity of the communities to compare.
Demographic | Oxford | Morris chapel |
---|---|---|
Black | 16 | 2 |
White | 73 | 96 |
Asian | 1 | Data is updating |
Hispanic | 7 | 2 |
Two or More Races | 3 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Morris chapel
- A higher percentage of Black residents are in Oxford at 16% compared to 2% in Morris chapel.
- The percentage of White residents is higher in Morris chapel at 96% compared to 73% in Oxford.
- The Asian population is larger in Oxford at 1% compared to 0% in Morris chapel.
- The Hispanic community is larger in Oxford at 7% compared to 2% in Morris chapel.
- More residents identify as two or more races in Oxford at 3% compared to 0% in Morris chapel.
- The percentage of American Indian residents is the same in both Oxford and Morris chapel at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oxford | Morris chapel |
---|---|---|
Mental Health Not Good | 18.8% | Data is updating% |
Physical Health Not Good | 13.2% | Data is updating% |
Depression | 23.8% | Data is updating% |
Smoking | 19.8% | Data is updating% |
Binge Drinking | 15.1% | Data is updating% |
Obesity | 37.4% | Data is updating% |
Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Oxford vs Morris chapel
- More residents in Oxford report poor mental health at 18.8% compared to 0.0% in Morris chapel.
- Depression is more prevalent in Oxford at 23.8% compared to 0.0% in Morris chapel.
- Smoking is more prevalent in Oxford at 19.8% compared to 0.0% in Morris chapel.
- Binge drinking is more common in Oxford at 15.1% compared to 0.0% in Morris chapel.
- Obesity rates are higher in Oxford at 37.4% compared to 0.0% in Morris chapel.
- Disability percentages are higher in Oxford at 19.0% compared to 0.0% in Morris chapel.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Oxford | Morris chapel |
---|---|---|
No Schooling | 1.4% (306) | 0.0% (Data is updating) |
High School Diploma | 16.1% (3,534) | 0.0% (Data is updating) |
Less than High School | 17.9% (3,933) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 16.5% (3,625) | 0.0% (Data is updating) |
Education Levels Comparison: Oxford vs Morris chapel
- A higher percentage of residents in Oxford have no formal schooling at 1.4% compared to 0.0% in Morris chapel.
- A higher percentage of residents in Oxford hold a high school diploma at 16.1% compared to 0.0% in Morris chapel.
- More residents in Oxford have less than a high school education at 17.9% compared to 0.0% in Morris chapel.
- A higher percentage of residents in Oxford hold a bachelor's degree or higher at 16.5% compared to 0.0% in Morris chapel.
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.