Demographics details for Sterling, OK vs Oxford, NJ
Population Overview
Compare main population characteristics in Sterling, OK vs Oxford, NJ.
| Data | Sterling | Oxford |
|---|---|---|
| Population | 678 | 1,249 |
| Median Age | 39.7 years | 43.1 years |
| Median Income | $64,464 | $60,833 |
| Married Families | 47.0% | 32.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Sterling vs Oxford
- The population in Oxford is higher at 1,249, compared to 678 in Sterling.
- The median age in Oxford is higher at 43.1 years, compared to 39.7 years in Sterling.
- Sterling has a higher median income of $64,464 compared to $60,833 in Oxford.
- A higher percentage of married families is found in Sterling at 47.0% compared to 32.0% in Oxford.
- Sterling has a higher poverty level at 12% compared to 5% in Oxford.
- The unemployment rate in Sterling is higher at 3.5%, compared to 3.2% in Oxford.
Demographics
Demographics Sterling vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Sterling | Oxford |
|---|---|---|
| Black | Data is updating | 2 |
| White | 82 | 77 |
| Asian | 1 | 1 |
| Hispanic | 6 | 16 |
| Two or More Races | 11 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sterling vs Oxford
- In Oxford, the percentage of Black residents is higher at 2% compared to 0% in Sterling.
- Sterling has a higher percentage of White residents at 82% compared to 77% in Oxford.
- Both Sterling 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 Sterling.
- More residents identify as two or more races in Sterling at 11% compared to 4% in Oxford.
- The percentage of American Indian residents is the same in both Sterling and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sterling | Oxford |
|---|---|---|
| Mental Health Not Good | 17.9% | 16.5% |
| Physical Health Not Good | 12.2% | 10.7% |
| Depression | 28.2% | 23.4% |
| Smoking | 20.1% | 16.2% |
| Binge Drinking | 16.4% | 18.9% |
| Obesity | 42.3% | 31.2% |
| Disability Percentage | 40.0% | 20.0% |
Health Statistics Comparison: Sterling vs Oxford
- More residents in Sterling report poor mental health at 17.9% compared to 16.5% in Oxford.
- Depression is more prevalent in Sterling at 28.2% compared to 23.4% in Oxford.
- Smoking is more prevalent in Sterling at 20.1% compared to 16.2% in Oxford.
- More residents engage in binge drinking in Oxford at 18.9% compared to 16.4% in Sterling.
- Obesity rates are higher in Sterling at 42.3% compared to 31.2% in Oxford.
- Disability percentages are higher in Sterling at 40.0% compared to 20.0% in Oxford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sterling | Oxford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (6) |
| High School Diploma | 45.0% (305) | 29.1% (364) |
| Less than High School | 11.2% (76) | 13.1% (164) |
| Bachelor's Degree and Higher | 6.5% (44) | 21.3% (266) |
Education Levels Comparison: Sterling vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Sterling.
- A higher percentage of residents in Sterling hold a high school diploma at 45.0% compared to 29.1% in Oxford.
- The percentage of residents with less than a high school education is higher in Oxford at 13.1%, compared to 11.2% in Sterling.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 6.5% in Sterling.
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.