Demographics details for Oxford, NJ vs Harvey, IA
Population Overview
Compare main population characteristics in Oxford, NJ vs Harvey, IA.
| Data | Oxford | Harvey |
|---|---|---|
| Population | 1,249 | 236 |
| Median Age | 43.1 years | 47.5 years |
| Median Income | $60,833 | $50,313 |
| Married Families | 32.0% | 36.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.2 | 3.0 |
Population Comparison: Oxford vs Harvey
- In Oxford, the population is higher at 1,249, compared to 236 in Harvey.
- The median age in Harvey is higher at 47.5 years, compared to 43.1 years in Oxford.
- Oxford has a higher median income of $60,833 compared to $50,313 in Harvey.
- In Harvey, the percentage of married families is higher at 36.0%, compared to 32.0% in Oxford.
- The poverty level is higher in Harvey at 8%, compared to 5% in Oxford.
- The unemployment rate in Oxford is higher at 3.2%, compared to 3.0% in Harvey.
Demographics
Demographics Oxford vs Harvey provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Harvey |
|---|---|---|
| Black | 2 | Data is updating |
| White | 77 | 97 |
| Asian | 1 | 2 |
| Hispanic | 16 | Data is updating |
| Two or More Races | 4 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Harvey
- A higher percentage of Black residents are in Oxford at 2% compared to 0% in Harvey.
- The percentage of White residents is higher in Harvey at 97% compared to 77% in Oxford.
- In Harvey, the Asian population stands at 2%, greater than 1% in Oxford.
- The Hispanic community is larger in Oxford at 16% compared to 0% in Harvey.
- More residents identify as two or more races in Oxford at 4% compared to 1% in Harvey.
- The percentage of American Indian residents is the same in both Oxford and Harvey at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Harvey |
|---|---|---|
| Mental Health Not Good | 16.5% | 15.3% |
| Physical Health Not Good | 10.7% | 9.6% |
| Depression | 23.4% | 18.9% |
| Smoking | 16.2% | 17.8% |
| Binge Drinking | 18.9% | 22.8% |
| Obesity | 31.2% | 37.5% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Oxford vs Harvey
- More residents in Oxford report poor mental health at 16.5% compared to 15.3% in Harvey.
- Depression is more prevalent in Oxford at 23.4% compared to 18.9% in Harvey.
- Harvey has a higher smoking rate at 17.8% compared to 16.2% in Oxford.
- More residents engage in binge drinking in Harvey at 22.8% compared to 18.9% in Oxford.
- Harvey has higher obesity rates at 37.5% compared to 31.2% in Oxford.
- Disability percentages are higher in Oxford at 20.0% compared to 14.0% in Harvey.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxford | Harvey |
|---|---|---|
| No Schooling | 0.5% (6) | 0.0% (Data is updating) |
| High School Diploma | 29.1% (364) | 26.7% (63) |
| Less than High School | 13.1% (164) | 16.9% (40) |
| Bachelor's Degree and Higher | 21.3% (266) | 8.1% (19) |
Education Levels Comparison: Oxford vs Harvey
- A higher percentage of residents in Oxford have no formal schooling at 0.5% compared to 0.0% in Harvey.
- A higher percentage of residents in Oxford hold a high school diploma at 29.1% compared to 26.7% in Harvey.
- The percentage of residents with less than a high school education is higher in Harvey at 16.9%, compared to 13.1% in Oxford.
- A higher percentage of residents in Oxford hold a bachelor's degree or higher at 21.3% compared to 8.1% in Harvey.
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.