Demographics details for Palmetto, FL vs Oxford, NJ
Population Overview
Compare main population characteristics in Palmetto, FL vs Oxford, NJ.
| Data | Palmetto | Oxford |
|---|---|---|
| Population | 13,614 | 1,249 |
| Median Age | 50.0 years | 43.1 years |
| Median Income | $55,584 | $60,833 |
| Married Families | 39.0% | 32.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Palmetto vs Oxford
- In Palmetto, the population is higher at 13,614, compared to 1,249 in Oxford.
- Residents in Palmetto have a higher median age of 50.0 years compared to 43.1 years in Oxford.
- Oxford has a higher median income of $60,833, compared to $55,584 in Palmetto.
- A higher percentage of married families is found in Palmetto at 39.0% compared to 32.0% in Oxford.
- Palmetto has a higher poverty level at 10% compared to 5% in Oxford.
- The unemployment rate in Palmetto is higher at 3.5%, compared to 3.2% in Oxford.
Demographics
Demographics Palmetto vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Palmetto | Oxford |
|---|---|---|
| Black | 15 | 2 |
| White | 59 | 77 |
| Asian | 2 | 1 |
| Hispanic | 21 | 16 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Palmetto vs Oxford
- A higher percentage of Black residents are in Palmetto at 15% compared to 2% in Oxford.
- The percentage of White residents is higher in Oxford at 77% compared to 59% in Palmetto.
- The Asian population is larger in Palmetto at 2% compared to 1% in Oxford.
- The Hispanic community is larger in Palmetto at 21% compared to 16% in Oxford.
- The percentage of residents identifying as two or more races is higher in Oxford at 4%, compared to 3% in Palmetto.
- The percentage of American Indian residents is the same in both Palmetto and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palmetto | Oxford |
|---|---|---|
| Mental Health Not Good | 16.8% | 16.5% |
| Physical Health Not Good | 13.7% | 10.7% |
| Depression | 19.8% | 23.4% |
| Smoking | 22.3% | 16.2% |
| Binge Drinking | 15.0% | 18.9% |
| Obesity | 34.7% | 31.2% |
| Disability Percentage | 16.0% | 20.0% |
Health Statistics Comparison: Palmetto vs Oxford
- More residents in Palmetto report poor mental health at 16.8% compared to 16.5% in Oxford.
- Higher depression rates are seen in Oxford at 23.4% versus 19.8% in Palmetto.
- Smoking is more prevalent in Palmetto at 22.3% compared to 16.2% in Oxford.
- More residents engage in binge drinking in Oxford at 18.9% compared to 15.0% in Palmetto.
- Obesity rates are higher in Palmetto at 34.7% compared to 31.2% in Oxford.
- There is a higher percentage of disabled individuals in Oxford at 20.0% compared to 16.0% in Palmetto.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palmetto | Oxford |
|---|---|---|
| No Schooling | 0.6% (77) | 0.5% (6) |
| High School Diploma | 19.0% (2,581) | 29.1% (364) |
| Less than High School | 19.6% (2,665) | 13.1% (164) |
| Bachelor's Degree and Higher | 19.9% (2,709) | 21.3% (266) |
Education Levels Comparison: Palmetto vs Oxford
- A higher percentage of residents in Palmetto have no formal schooling at 0.6% compared to 0.5% in Oxford.
- In Oxford, the rate of residents with high school diplomas is higher at 29.1% compared to 19.0% in Palmetto.
- More residents in Palmetto have less than a high school education at 19.6% compared to 13.1% in Oxford.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 19.9% in Palmetto.
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.