Demographics details for Oxford, MS vs Old bridge, NJ
Population Overview
Compare main population characteristics in Oxford, MS vs Old bridge, NJ.
| Data | Oxford | Old bridge |
|---|---|---|
| Population | 26,437 | 28,094 |
| Median Age | 27.7 years | 43.2 years |
| Median Income | $56,784 | $104,712 |
| Married Families | 28.0% | 48.0% |
| Poverty Level | 18% | 5% |
| Unemployment Rate | 2.7 | 4.1 |
Population Comparison: Oxford vs Old bridge
- The population in Old bridge is higher at 28,094, compared to 26,437 in Oxford.
- The median age in Old bridge is higher at 43.2 years, compared to 27.7 years in Oxford.
- Old bridge has a higher median income of $104,712, compared to $56,784 in Oxford.
- In Old bridge, the percentage of married families is higher at 48.0%, compared to 28.0% in Oxford.
- Oxford has a higher poverty level at 18% compared to 5% in Old bridge.
- Old bridge has a higher unemployment rate at 4.1% compared to 2.7% in Oxford.
Demographics
Demographics Oxford vs Old bridge provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Old bridge |
|---|---|---|
| Black | 25 | 4 |
| White | 68 | 61 |
| Asian | 3 | 13 |
| Hispanic | 2 | 16 |
| Two or More Races | 2 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Old bridge
- A higher percentage of Black residents are in Oxford at 25% compared to 4% in Old bridge.
- Oxford has a higher percentage of White residents at 68% compared to 61% in Old bridge.
- In Old bridge, the Asian population stands at 13%, greater than 3% in Oxford.
- Old bridge has a higher percentage of Hispanic residents at 16%, compared to 2% in Oxford.
- The percentage of residents identifying as two or more races is higher in Old bridge at 6%, compared to 2% in Oxford.
- The percentage of American Indian residents is the same in both Oxford and Old bridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Old bridge |
|---|---|---|
| Mental Health Not Good | 15.1% | 14.3% |
| Physical Health Not Good | 10.6% | 8.6% |
| Depression | 21.3% | 19.8% |
| Smoking | 15.2% | 11.4% |
| Binge Drinking | 14.9% | 16.2% |
| Obesity | 35.0% | 28.5% |
| Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Oxford vs Old bridge
- More residents in Oxford report poor mental health at 15.1% compared to 14.3% in Old bridge.
- Depression is more prevalent in Oxford at 21.3% compared to 19.8% in Old bridge.
- Smoking is more prevalent in Oxford at 15.2% compared to 11.4% in Old bridge.
- More residents engage in binge drinking in Old bridge at 16.2% compared to 14.9% in Oxford.
- Obesity rates are higher in Oxford at 35.0% compared to 28.5% in Old bridge.
- There is a higher percentage of disabled individuals in Old bridge at 11.0% 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 | Old bridge |
|---|---|---|
| No Schooling | 0.4% (114) | 1.1% (302) |
| High School Diploma | 7.0% (1,862) | 18.8% (5,278) |
| Less than High School | 5.5% (1,444) | 8.2% (2,316) |
| Bachelor's Degree and Higher | 33.0% (8,735) | 28.2% (7,918) |
Education Levels Comparison: Oxford vs Old bridge
- In Old bridge, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Oxford.
- In Old bridge, the rate of residents with high school diplomas is higher at 18.8% compared to 7.0% in Oxford.
- The percentage of residents with less than a high school education is higher in Old bridge at 8.2%, 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 28.2% in Old bridge.
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.