Demographics details for Oxford, MS vs Antioch, IL
Population Overview
Compare main population characteristics in Oxford, MS vs Antioch, IL.
Data | Oxford | Antioch |
---|---|---|
Population | 26,437 | 14,773 |
Median Age | 27.7 years | 39.5 years |
Median Income | $56,784 | $112,546 |
Married Families | 28.0% | 41.0% |
Poverty Level | 18% | 5% |
Unemployment Rate | 2.7 | 4.2 |
Population Comparison: Oxford vs Antioch
- In Oxford, the population is higher at 26,437, compared to 14,773 in Antioch.
- The median age in Antioch is higher at 39.5 years, compared to 27.7 years in Oxford.
- Antioch has a higher median income of $112,546, compared to $56,784 in Oxford.
- In Antioch, the percentage of married families is higher at 41.0%, compared to 28.0% in Oxford.
- Oxford has a higher poverty level at 18% compared to 5% in Antioch.
- Antioch has a higher unemployment rate at 4.2% compared to 2.7% in Oxford.
Demographics
Demographics Oxford vs Antioch provide insight into the diversity of the communities to compare.
Demographic | Oxford | Antioch |
---|---|---|
Black | 25 | 5 |
White | 68 | 77 |
Asian | 3 | 4 |
Hispanic | 2 | 8 |
Two or More Races | 2 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Antioch
- A higher percentage of Black residents are in Oxford at 25% compared to 5% in Antioch.
- The percentage of White residents is higher in Antioch at 77% compared to 68% in Oxford.
- In Antioch, the Asian population stands at 4%, greater than 3% in Oxford.
- Antioch has a higher percentage of Hispanic residents at 8%, compared to 2% in Oxford.
- The percentage of residents identifying as two or more races is higher in Antioch at 6%, compared to 2% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Antioch at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oxford | Antioch |
---|---|---|
Mental Health Not Good | 15.1% | 14.8% |
Physical Health Not Good | 10.6% | 9.1% |
Depression | 21.3% | 19.6% |
Smoking | 15.2% | 13.4% |
Binge Drinking | 14.9% | 19.0% |
Obesity | 35.0% | 31.4% |
Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Oxford vs Antioch
- More residents in Oxford report poor mental health at 15.1% compared to 14.8% in Antioch.
- Depression is more prevalent in Oxford at 21.3% compared to 19.6% in Antioch.
- Smoking is more prevalent in Oxford at 15.2% compared to 13.4% in Antioch.
- More residents engage in binge drinking in Antioch at 19.0% compared to 14.9% in Oxford.
- Obesity rates are higher in Oxford at 35.0% compared to 31.4% in Antioch.
- There is a higher percentage of disabled individuals in Antioch 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 | Antioch |
---|---|---|
No Schooling | 0.4% (114) | 1.2% (175) |
High School Diploma | 7.0% (1,862) | 10.7% (1,584) |
Less than High School | 5.5% (1,444) | 7.1% (1,052) |
Bachelor's Degree and Higher | 33.0% (8,735) | 25.7% (3,791) |
Education Levels Comparison: Oxford vs Antioch
- In Antioch, a larger percentage of residents lack formal schooling at 1.2% compared to 0.4% in Oxford.
- In Antioch, the rate of residents with high school diplomas is higher at 10.7% compared to 7.0% in Oxford.
- The percentage of residents with less than a high school education is higher in Antioch at 7.1%, 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 25.7% in Antioch.
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.