Demographics details for Oxford, NJ vs Lodge, SC
Population Overview
Compare main population characteristics in Oxford, NJ vs Lodge, SC.
| Data | Oxford | Lodge |
|---|---|---|
| Population | 1,249 | 84 |
| Median Age | 43.1 years | 39.5 years |
| Median Income | $60,833 | $34,938 |
| Married Families | 32.0% | 51.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Oxford vs Lodge
- In Oxford, the population is higher at 1,249, compared to 84 in Lodge.
- Residents in Oxford have a higher median age of 43.1 years compared to 39.5 years in Lodge.
- Oxford has a higher median income of $60,833 compared to $34,938 in Lodge.
- In Lodge, the percentage of married families is higher at 51.0%, compared to 32.0% in Oxford.
- The poverty level is higher in Lodge at 15%, compared to 5% in Oxford.
- Lodge has a higher unemployment rate at 5.0% compared to 3.2% in Oxford.
Demographics
Demographics Oxford vs Lodge provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Lodge |
|---|---|---|
| Black | 2 | 5 |
| White | 77 | 34 |
| Asian | 1 | Data is updating |
| Hispanic | 16 | 61 |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oxford vs Lodge
- In Lodge, the percentage of Black residents is higher at 5% compared to 2% in Oxford.
- Oxford has a higher percentage of White residents at 77% compared to 34% in Lodge.
- The Asian population is larger in Oxford at 1% compared to 0% in Lodge.
- Lodge has a higher percentage of Hispanic residents at 61%, compared to 16% in Oxford.
- More residents identify as two or more races in Oxford at 4% compared to 0% in Lodge.
- The percentage of American Indian residents is the same in both Oxford and Lodge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Lodge |
|---|---|---|
| Mental Health Not Good | 16.5% | 17.5% |
| Physical Health Not Good | 10.7% | 15.6% |
| Depression | 23.4% | 22.4% |
| Smoking | 16.2% | 22.4% |
| Binge Drinking | 18.9% | 16.0% |
| Obesity | 31.2% | 34.9% |
| Disability Percentage | 20.0% | 45.0% |
Health Statistics Comparison: Oxford vs Lodge
- In Lodge, a higher percentage report poor mental health at 17.5% compared to 16.5% in Oxford.
- Depression is more prevalent in Oxford at 23.4% compared to 22.4% in Lodge.
- Lodge has a higher smoking rate at 22.4% compared to 16.2% in Oxford.
- Binge drinking is more common in Oxford at 18.9% compared to 16.0% in Lodge.
- Lodge has higher obesity rates at 34.9% compared to 31.2% in Oxford.
- There is a higher percentage of disabled individuals in Lodge at 45.0% 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 | Oxford | Lodge |
|---|---|---|
| No Schooling | 0.5% (6) | 0.0% (Data is updating) |
| High School Diploma | 29.1% (364) | 60.7% (51) |
| Less than High School | 13.1% (164) | 26.2% (22) |
| Bachelor's Degree and Higher | 21.3% (266) | 8.3% (7) |
Education Levels Comparison: Oxford vs Lodge
- A higher percentage of residents in Oxford have no formal schooling at 0.5% compared to 0.0% in Lodge.
- In Lodge, the rate of residents with high school diplomas is higher at 60.7% compared to 29.1% in Oxford.
- The percentage of residents with less than a high school education is higher in Lodge at 26.2%, 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 8.3% in Lodge.
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.