Demographics details for Grand rapids, MI vs Oxford, NJ
Population Overview
Compare main population characteristics in Grand rapids, MI vs Oxford, NJ.
| Data | Grand rapids | Oxford |
|---|---|---|
| Population | 196,908 | 1,249 |
| Median Age | 31.8 years | 43.1 years |
| Median Income | $61,634 | $60,833 |
| Married Families | 31.0% | 32.0% |
| Poverty Level | 14% | 5% |
| Unemployment Rate | 5.3 | 3.2 |
Population Comparison: Grand rapids vs Oxford
- In Grand rapids, the population is higher at 196,908, compared to 1,249 in Oxford.
- The median age in Oxford is higher at 43.1 years, compared to 31.8 years in Grand rapids.
- Grand rapids has a higher median income of $61,634 compared to $60,833 in Oxford.
- In Oxford, the percentage of married families is higher at 32.0%, compared to 31.0% in Grand rapids.
- Grand rapids has a higher poverty level at 14% compared to 5% in Oxford.
- The unemployment rate in Grand rapids is higher at 5.3%, compared to 3.2% in Oxford.
Demographics
Demographics Grand rapids vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Grand rapids | Oxford |
|---|---|---|
| Black | 18 | 2 |
| White | 51 | 77 |
| Asian | 3 | 1 |
| Hispanic | 16 | 16 |
| Two or More Races | 11 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Grand rapids vs Oxford
- A higher percentage of Black residents are in Grand rapids at 18% compared to 2% in Oxford.
- The percentage of White residents is higher in Oxford at 77% compared to 51% in Grand rapids.
- The Asian population is larger in Grand rapids at 3% compared to 1% in Oxford.
- The percentage of Hispanic residents is the same in both Grand rapids and Oxford at 16%.
- More residents identify as two or more races in Grand rapids at 11% compared to 4% in Oxford.
- A greater percentage of American Indian residents live in Grand rapids at 1% compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Grand rapids | Oxford |
|---|---|---|
| Mental Health Not Good | 17.6% | 16.5% |
| Physical Health Not Good | 11.5% | 10.7% |
| Depression | 25.3% | 23.4% |
| Smoking | 17.3% | 16.2% |
| Binge Drinking | 16.7% | 18.9% |
| Obesity | 34.9% | 31.2% |
| Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Grand rapids vs Oxford
- More residents in Grand rapids report poor mental health at 17.6% compared to 16.5% in Oxford.
- Depression is more prevalent in Grand rapids at 25.3% compared to 23.4% in Oxford.
- Smoking is more prevalent in Grand rapids at 17.3% compared to 16.2% in Oxford.
- More residents engage in binge drinking in Oxford at 18.9% compared to 16.7% in Grand rapids.
- Obesity rates are higher in Grand rapids at 34.9% compared to 31.2% in Oxford.
- There is a higher percentage of disabled individuals in Oxford at 20.0% compared to 12.0% in Grand rapids.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Grand rapids | Oxford |
|---|---|---|
| No Schooling | 1.2% (2,304) | 0.5% (6) |
| High School Diploma | 12.4% (24,420) | 29.1% (364) |
| Less than High School | 12.2% (23,971) | 13.1% (164) |
| Bachelor's Degree and Higher | 25.6% (50,441) | 21.3% (266) |
Education Levels Comparison: Grand rapids vs Oxford
- A higher percentage of residents in Grand rapids have no formal schooling at 1.2% compared to 0.5% in Oxford.
- In Oxford, the rate of residents with high school diplomas is higher at 29.1% compared to 12.4% in Grand rapids.
- The percentage of residents with less than a high school education is higher in Oxford at 13.1%, compared to 12.2% in Grand rapids.
- A higher percentage of residents in Grand rapids hold a bachelor's degree or higher at 25.6% 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.