Demographics details for Trenton, NC vs Oxford, AL
Population Overview
Compare main population characteristics in Trenton, NC vs Oxford, AL.
| Data | Trenton | Oxford |
|---|---|---|
| Population | 238 | 22,002 |
| Median Age | 44.5 years | 37.4 years |
| Median Income | $45,417 | $66,031 |
| Married Families | 25.0% | 37.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Trenton vs Oxford
- The population in Oxford is higher at 22,002, compared to 238 in Trenton.
- Residents in Trenton have a higher median age of 44.5 years compared to 37.4 years in Oxford.
- Oxford has a higher median income of $66,031, compared to $45,417 in Trenton.
- In Oxford, the percentage of married families is higher at 37.0%, compared to 25.0% in Trenton.
- Trenton has a higher poverty level at 12% compared to 10% in Oxford.
- The unemployment rate in Trenton is higher at 4.5%, compared to 3.5% in Oxford.
Demographics
Demographics Trenton vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Trenton | Oxford |
|---|---|---|
| Black | 21 | 16 |
| White | 73 | 73 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 7 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Trenton vs Oxford
- A higher percentage of Black residents are in Trenton at 21% compared to 16% in Oxford.
- The percentage of White residents is the same in both Trenton and Oxford at 73%.
- In Oxford, the Asian population stands at 1%, greater than 0% in Trenton.
- Oxford has a higher percentage of Hispanic residents at 7%, compared to 3% in Trenton.
- Both Trenton and Oxford have the same percentage of residents identifying as two or more races at 3%.
- The percentage of American Indian residents is the same in both Trenton and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Trenton | Oxford |
|---|---|---|
| Mental Health Not Good | 19.3% | 18.8% |
| Physical Health Not Good | 15.5% | 13.2% |
| Depression | 23.7% | 23.8% |
| Smoking | 24.8% | 19.8% |
| Binge Drinking | 15.0% | 15.1% |
| Obesity | 43.8% | 37.4% |
| Disability Percentage | 14.0% | 19.0% |
Health Statistics Comparison: Trenton vs Oxford
- More residents in Trenton report poor mental health at 19.3% compared to 18.8% in Oxford.
- Higher depression rates are seen in Oxford at 23.8% versus 23.7% in Trenton.
- Smoking is more prevalent in Trenton at 24.8% compared to 19.8% in Oxford.
- More residents engage in binge drinking in Oxford at 15.1% compared to 15.0% in Trenton.
- Obesity rates are higher in Trenton at 43.8% compared to 37.4% in Oxford.
- There is a higher percentage of disabled individuals in Oxford at 19.0% compared to 14.0% in Trenton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Trenton | Oxford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (306) |
| High School Diploma | 14.3% (34) | 16.1% (3,534) |
| Less than High School | 22.7% (54) | 17.9% (3,933) |
| Bachelor's Degree and Higher | 14.7% (35) | 16.5% (3,625) |
Education Levels Comparison: Trenton vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Trenton.
- In Oxford, the rate of residents with high school diplomas is higher at 16.1% compared to 14.3% in Trenton.
- More residents in Trenton have less than a high school education at 22.7% compared to 17.9% in Oxford.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 16.5% compared to 14.7% in Trenton.
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.