Demographics details for Oxford, NJ vs Central falls, RI
Population Overview
Compare main population characteristics in Oxford, NJ vs Central falls, RI.
| Data | Oxford | Central falls |
|---|---|---|
| Population | 1,249 | 22,490 |
| Median Age | 43.1 years | 31.5 years |
| Median Income | $60,833 | $43,092 |
| Married Families | 32.0% | 29.0% |
| Poverty Level | 5% | 20% |
| Unemployment Rate | 3.2 | 5.3 |
Population Comparison: Oxford vs Central falls
- The population in Central falls is higher at 22,490, compared to 1,249 in Oxford.
- Residents in Oxford have a higher median age of 43.1 years compared to 31.5 years in Central falls.
- Oxford has a higher median income of $60,833 compared to $43,092 in Central falls.
- A higher percentage of married families is found in Oxford at 32.0% compared to 29.0% in Central falls.
- The poverty level is higher in Central falls at 20%, compared to 5% in Oxford.
- Central falls has a higher unemployment rate at 5.3% compared to 3.2% in Oxford.
Demographics
Demographics Oxford vs Central falls provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Central falls |
|---|---|---|
| Black | 2 | 8 |
| White | 77 | 4 |
| Asian | 1 | Data is updating |
| Hispanic | 16 | 69 |
| Two or More Races | 4 | 18 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Oxford vs Central falls
- In Central falls, the percentage of Black residents is higher at 8% compared to 2% in Oxford.
- Oxford has a higher percentage of White residents at 77% compared to 4% in Central falls.
- The Asian population is larger in Oxford at 1% compared to 0% in Central falls.
- Central falls has a higher percentage of Hispanic residents at 69%, compared to 16% in Oxford.
- The percentage of residents identifying as two or more races is higher in Central falls at 18%, compared to 4% in Oxford.
- In Central falls, the percentage of American Indian residents is higher at 1%, compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Central falls |
|---|---|---|
| Mental Health Not Good | 16.5% | 19.8% |
| Physical Health Not Good | 10.7% | 17.4% |
| Depression | 23.4% | 26.7% |
| Smoking | 16.2% | 22.8% |
| Binge Drinking | 18.9% | 14.2% |
| Obesity | 31.2% | 40.6% |
| Disability Percentage | 20.0% | 15.0% |
Health Statistics Comparison: Oxford vs Central falls
- In Central falls, a higher percentage report poor mental health at 19.8% compared to 16.5% in Oxford.
- Higher depression rates are seen in Central falls at 26.7% versus 23.4% in Oxford.
- Central falls has a higher smoking rate at 22.8% compared to 16.2% in Oxford.
- Binge drinking is more common in Oxford at 18.9% compared to 14.2% in Central falls.
- Central falls has higher obesity rates at 40.6% compared to 31.2% in Oxford.
- Disability percentages are higher in Oxford at 20.0% compared to 15.0% in Central falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxford | Central falls |
|---|---|---|
| No Schooling | 0.5% (6) | 4.7% (1,048) |
| High School Diploma | 29.1% (364) | 15.1% (3,406) |
| Less than High School | 13.1% (164) | 44.1% (9,911) |
| Bachelor's Degree and Higher | 21.3% (266) | 5.6% (1,270) |
Education Levels Comparison: Oxford vs Central falls
- In Central falls, a larger percentage of residents lack formal schooling at 4.7% compared to 0.5% in Oxford.
- A higher percentage of residents in Oxford hold a high school diploma at 29.1% compared to 15.1% in Central falls.
- The percentage of residents with less than a high school education is higher in Central falls at 44.1%, 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 5.6% in Central falls.
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.