Demographics details for Oxford, NC vs Paramount, CA
Population Overview
Compare main population characteristics in Oxford, NC vs Paramount, CA.
| Data | Oxford | Paramount |
|---|---|---|
| Population | 8,771 | 51,653 |
| Median Age | 43.1 years | 31.9 years |
| Median Income | $42,016 | $67,197 |
| Married Families | 29.0% | 32.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 4.1 | 6.4 |
Population Comparison: Oxford vs Paramount
- The population in Paramount is higher at 51,653, compared to 8,771 in Oxford.
- Residents in Oxford have a higher median age of 43.1 years compared to 31.9 years in Paramount.
- Paramount has a higher median income of $67,197, compared to $42,016 in Oxford.
- In Paramount, the percentage of married families is higher at 32.0%, compared to 29.0% in Oxford.
- The poverty level is higher in Paramount at 15%, compared to 12% in Oxford.
- Paramount has a higher unemployment rate at 6.4% compared to 4.1% in Oxford.
Demographics
Demographics Oxford vs Paramount provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Paramount |
|---|---|---|
| Black | 55 | 9 |
| White | 31 | -20 |
| Asian | 1 | 4 |
| Hispanic | 6 | 84 |
| Two or More Races | 7 | 21 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Oxford vs Paramount
- A higher percentage of Black residents are in Oxford at 55% compared to 9% in Paramount.
- Oxford has a higher percentage of White residents at 31% compared to -20% in Paramount.
- In Paramount, the Asian population stands at 4%, greater than 1% in Oxford.
- Paramount has a higher percentage of Hispanic residents at 84%, compared to 6% in Oxford.
- The percentage of residents identifying as two or more races is higher in Paramount at 21%, compared to 7% in Oxford.
- In Paramount, the percentage of American Indian residents is higher at 2%, compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Paramount |
|---|---|---|
| Mental Health Not Good | 17.7% | 17.0% |
| Physical Health Not Good | 13.3% | 14.4% |
| Depression | 22.8% | 16.2% |
| Smoking | 20.8% | 13.3% |
| Binge Drinking | 14.8% | 14.2% |
| Obesity | 45.0% | 34.2% |
| Disability Percentage | 15.0% | 8.0% |
Health Statistics Comparison: Oxford vs Paramount
- More residents in Oxford report poor mental health at 17.7% compared to 17.0% in Paramount.
- Depression is more prevalent in Oxford at 22.8% compared to 16.2% in Paramount.
- Smoking is more prevalent in Oxford at 20.8% compared to 13.3% in Paramount.
- Binge drinking is more common in Oxford at 14.8% compared to 14.2% in Paramount.
- Obesity rates are higher in Oxford at 45.0% compared to 34.2% in Paramount.
- Disability percentages are higher in Oxford at 15.0% compared to 8.0% in Paramount.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxford | Paramount |
|---|---|---|
| No Schooling | 2.9% (256) | 5.0% (2,572) |
| High School Diploma | 15.8% (1,386) | 16.3% (8,418) |
| Less than High School | 11.2% (980) | 42.4% (21,924) |
| Bachelor's Degree and Higher | 16.6% (1,457) | 8.3% (4,297) |
Education Levels Comparison: Oxford vs Paramount
- In Paramount, a larger percentage of residents lack formal schooling at 5.0% compared to 2.9% in Oxford.
- In Paramount, the rate of residents with high school diplomas is higher at 16.3% compared to 15.8% in Oxford.
- The percentage of residents with less than a high school education is higher in Paramount at 42.4%, compared to 11.2% in Oxford.
- A higher percentage of residents in Oxford hold a bachelor's degree or higher at 16.6% compared to 8.3% in Paramount.
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.