Demographics details for Rising city, NE vs Oxford, NJ
Population Overview
Compare main population characteristics in Rising city, NE vs Oxford, NJ.
| Data | Rising city | Oxford |
|---|---|---|
| Population | 354 | 1,249 |
| Median Age | 44.3 years | 43.1 years |
| Median Income | $81,477 | $60,833 |
| Married Families | 45.0% | 32.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 2.7 | 3.2 |
Population Comparison: Rising city vs Oxford
- The population in Oxford is higher at 1,249, compared to 354 in Rising city.
- Residents in Rising city have a higher median age of 44.3 years compared to 43.1 years in Oxford.
- Rising city has a higher median income of $81,477 compared to $60,833 in Oxford.
- A higher percentage of married families is found in Rising city at 45.0% compared to 32.0% in Oxford.
- Rising city has a higher poverty level at 9% compared to 5% in Oxford.
- Oxford has a higher unemployment rate at 3.2% compared to 2.7% in Rising city.
Demographics
Demographics Rising city vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Rising city | Oxford |
|---|---|---|
| Black | Data is updating | 2 |
| White | 98 | 77 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 16 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rising city vs Oxford
- In Oxford, the percentage of Black residents is higher at 2% compared to 0% in Rising city.
- Rising city has a higher percentage of White residents at 98% compared to 77% in Oxford.
- In Oxford, the Asian population stands at 1%, greater than 0% in Rising city.
- Oxford has a higher percentage of Hispanic residents at 16%, compared to 2% in Rising city.
- The percentage of residents identifying as two or more races is higher in Oxford at 4%, compared to 0% in Rising city.
- The percentage of American Indian residents is the same in both Rising city and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rising city | Oxford |
|---|---|---|
| Mental Health Not Good | 13.5% | 16.5% |
| Physical Health Not Good | 9.2% | 10.7% |
| Depression | 16.0% | 23.4% |
| Smoking | 16.3% | 16.2% |
| Binge Drinking | 23.1% | 18.9% |
| Obesity | 40.3% | 31.2% |
| Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Rising city vs Oxford
- In Oxford, a higher percentage report poor mental health at 16.5% compared to 13.5% in Rising city.
- Higher depression rates are seen in Oxford at 23.4% versus 16.0% in Rising city.
- Smoking is more prevalent in Rising city at 16.3% compared to 16.2% in Oxford.
- Binge drinking is more common in Rising city at 23.1% compared to 18.9% in Oxford.
- Obesity rates are higher in Rising city at 40.3% compared to 31.2% in Oxford.
- There is a higher percentage of disabled individuals in Oxford at 20.0% compared to 13.0% in Rising city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rising city | Oxford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (6) |
| High School Diploma | 19.8% (70) | 29.1% (364) |
| Less than High School | 9.6% (34) | 13.1% (164) |
| Bachelor's Degree and Higher | 7.6% (27) | 21.3% (266) |
Education Levels Comparison: Rising city vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Rising city.
- In Oxford, the rate of residents with high school diplomas is higher at 29.1% compared to 19.8% in Rising city.
- The percentage of residents with less than a high school education is higher in Oxford at 13.1%, compared to 9.6% in Rising city.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 7.6% in Rising city.
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.