Demographics details for Oxford, MS vs Carrollton, TX
Population Overview
Compare main population characteristics in Oxford, MS vs Carrollton, TX.
Data | Oxford | Carrollton |
---|---|---|
Population | 26,437 | 133,820 |
Median Age | 27.7 years | 38.6 years |
Median Income | $56,784 | $95,380 |
Married Families | 28.0% | 44.0% |
Poverty Level | 18% | 9% |
Unemployment Rate | 2.7 | 3.7 |
Population Comparison: Oxford vs Carrollton
- The population in Carrollton is higher at 133,820, compared to 26,437 in Oxford.
- The median age in Carrollton is higher at 38.6 years, compared to 27.7 years in Oxford.
- Carrollton has a higher median income of $95,380, compared to $56,784 in Oxford.
- In Carrollton, the percentage of married families is higher at 44.0%, compared to 28.0% in Oxford.
- Oxford has a higher poverty level at 18% compared to 9% in Carrollton.
- Carrollton has a higher unemployment rate at 3.7% compared to 2.7% in Oxford.
Demographics
Demographics Oxford vs Carrollton provide insight into the diversity of the communities to compare.
Demographic | Oxford | Carrollton |
---|---|---|
Black | 25 | 10 |
White | 68 | 31 |
Asian | 3 | 15 |
Hispanic | 2 | 32 |
Two or More Races | 2 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Carrollton
- A higher percentage of Black residents are in Oxford at 25% compared to 10% in Carrollton.
- Oxford has a higher percentage of White residents at 68% compared to 31% in Carrollton.
- In Carrollton, the Asian population stands at 15%, greater than 3% in Oxford.
- Carrollton has a higher percentage of Hispanic residents at 32%, compared to 2% in Oxford.
- The percentage of residents identifying as two or more races is higher in Carrollton at 12%, compared to 2% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Carrollton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oxford | Carrollton |
---|---|---|
Mental Health Not Good | 15.1% | 15.1% |
Physical Health Not Good | 10.6% | 10.1% |
Depression | 21.3% | 20.9% |
Smoking | 15.2% | 13.5% |
Binge Drinking | 14.9% | 17.7% |
Obesity | 35.0% | 31.5% |
Disability Percentage | 8.0% | 7.0% |
Health Statistics Comparison: Oxford vs Carrollton
- Poor mental health levels are equal in both Oxford and Carrollton at 15.1%.
- Depression is more prevalent in Oxford at 21.3% compared to 20.9% in Carrollton.
- Smoking is more prevalent in Oxford at 15.2% compared to 13.5% in Carrollton.
- More residents engage in binge drinking in Carrollton at 17.7% compared to 14.9% in Oxford.
- Obesity rates are higher in Oxford at 35.0% compared to 31.5% in Carrollton.
- Disability percentages are higher in Oxford at 8.0% compared to 7.0% in Carrollton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Oxford | Carrollton |
---|---|---|
No Schooling | 0.4% (114) | 1.6% (2,169) |
High School Diploma | 7.0% (1,862) | 12.3% (16,432) |
Less than High School | 5.5% (1,444) | 13.2% (17,673) |
Bachelor's Degree and Higher | 33.0% (8,735) | 29.8% (39,921) |
Education Levels Comparison: Oxford vs Carrollton
- In Carrollton, a larger percentage of residents lack formal schooling at 1.6% compared to 0.4% in Oxford.
- In Carrollton, the rate of residents with high school diplomas is higher at 12.3% compared to 7.0% in Oxford.
- The percentage of residents with less than a high school education is higher in Carrollton at 13.2%, 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 29.8% in Carrollton.
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.