Demographics details for Mechanicsburg, PA vs Oxford, NJ
Population Overview
Compare main population characteristics in Mechanicsburg, PA vs Oxford, NJ.
| Data | Mechanicsburg | Oxford |
|---|---|---|
| Population | 9,634 | 1,249 |
| Median Age | 38.4 years | 43.1 years |
| Median Income | $75,806 | $60,833 |
| Married Families | 36.0% | 32.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Mechanicsburg vs Oxford
- In Mechanicsburg, the population is higher at 9,634, compared to 1,249 in Oxford.
- The median age in Oxford is higher at 43.1 years, compared to 38.4 years in Mechanicsburg.
- Mechanicsburg has a higher median income of $75,806 compared to $60,833 in Oxford.
- A higher percentage of married families is found in Mechanicsburg at 36.0% compared to 32.0% in Oxford.
- The poverty level is identical in both Mechanicsburg and Oxford at 5%.
- The unemployment rate in Mechanicsburg is higher at 4.5%, compared to 3.2% in Oxford.
Demographics
Demographics Mechanicsburg vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Mechanicsburg | Oxford |
|---|---|---|
| Black | 2 | 2 |
| White | 84 | 77 |
| Asian | 1 | 1 |
| Hispanic | 6 | 16 |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mechanicsburg vs Oxford
- The percentage of Black residents is the same in both Mechanicsburg and Oxford at 2%.
- Mechanicsburg has a higher percentage of White residents at 84% compared to 77% in Oxford.
- Both Mechanicsburg and Oxford have the same percentage of Asian residents at 1%.
- Oxford has a higher percentage of Hispanic residents at 16%, compared to 6% in Mechanicsburg.
- More residents identify as two or more races in Mechanicsburg at 7% compared to 4% in Oxford.
- The percentage of American Indian residents is the same in both Mechanicsburg and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mechanicsburg | Oxford |
|---|---|---|
| Mental Health Not Good | 15.3% | 16.5% |
| Physical Health Not Good | 10.2% | 10.7% |
| Depression | 21.8% | 23.4% |
| Smoking | 15.7% | 16.2% |
| Binge Drinking | 17.8% | 18.9% |
| Obesity | 31.2% | 31.2% |
| Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: Mechanicsburg vs Oxford
- In Oxford, a higher percentage report poor mental health at 16.5% compared to 15.3% in Mechanicsburg.
- Higher depression rates are seen in Oxford at 23.4% versus 21.8% in Mechanicsburg.
- Oxford has a higher smoking rate at 16.2% compared to 15.7% in Mechanicsburg.
- More residents engage in binge drinking in Oxford at 18.9% compared to 17.8% in Mechanicsburg.
- Both cities have the same obesity rates at 31.2%.
- There is a higher percentage of disabled individuals in Oxford at 20.0% compared to 11.0% in Mechanicsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mechanicsburg | Oxford |
|---|---|---|
| No Schooling | 0.1% (13) | 0.5% (6) |
| High School Diploma | 21.7% (2,086) | 29.1% (364) |
| Less than High School | 5.7% (550) | 13.1% (164) |
| Bachelor's Degree and Higher | 30.4% (2,931) | 21.3% (266) |
Education Levels Comparison: Mechanicsburg vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 0.5% compared to 0.1% in Mechanicsburg.
- In Oxford, the rate of residents with high school diplomas is higher at 29.1% compared to 21.7% in Mechanicsburg.
- The percentage of residents with less than a high school education is higher in Oxford at 13.1%, compared to 5.7% in Mechanicsburg.
- A higher percentage of residents in Mechanicsburg hold a bachelor's degree or higher at 30.4% compared to 21.3% in Oxford.
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.