Demographics details for Roaring spring, PA vs Oxford, MS
Population Overview
Compare main population characteristics in Roaring spring, PA vs Oxford, MS.
| Data | Roaring spring | Oxford |
|---|---|---|
| Population | 2,333 | 26,437 |
| Median Age | 36.1 years | 27.7 years |
| Median Income | $63,194 | $56,784 |
| Married Families | 43.0% | 28.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 5.0 | 2.7 |
Population Comparison: Roaring spring vs Oxford
- The population in Oxford is higher at 26,437, compared to 2,333 in Roaring spring.
- Residents in Roaring spring have a higher median age of 36.1 years compared to 27.7 years in Oxford.
- Roaring spring has a higher median income of $63,194 compared to $56,784 in Oxford.
- A higher percentage of married families is found in Roaring spring at 43.0% compared to 28.0% in Oxford.
- The poverty level is higher in Oxford at 18%, compared to 10% in Roaring spring.
- The unemployment rate in Roaring spring is higher at 5.0%, compared to 2.7% in Oxford.
Demographics
Demographics Roaring spring vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Roaring spring | Oxford |
|---|---|---|
| Black | 1 | 25 |
| White | 91 | 68 |
| Asian | Data is updating | 3 |
| Hispanic | 3 | 2 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Roaring spring vs Oxford
- In Oxford, the percentage of Black residents is higher at 25% compared to 1% in Roaring spring.
- Roaring spring has a higher percentage of White residents at 91% compared to 68% in Oxford.
- In Oxford, the Asian population stands at 3%, greater than 0% in Roaring spring.
- The Hispanic community is larger in Roaring spring at 3% compared to 2% in Oxford.
- More residents identify as two or more races in Roaring spring at 5% compared to 2% in Oxford.
- The percentage of American Indian residents is the same in both Roaring spring and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Roaring spring | Oxford |
|---|---|---|
| Mental Health Not Good | 18.2% | 15.1% |
| Physical Health Not Good | 12.2% | 10.6% |
| Depression | 25.5% | 21.3% |
| Smoking | 21.4% | 15.2% |
| Binge Drinking | 18.5% | 14.9% |
| Obesity | 34.7% | 35.0% |
| Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Roaring spring vs Oxford
- More residents in Roaring spring report poor mental health at 18.2% compared to 15.1% in Oxford.
- Depression is more prevalent in Roaring spring at 25.5% compared to 21.3% in Oxford.
- Smoking is more prevalent in Roaring spring at 21.4% compared to 15.2% in Oxford.
- Binge drinking is more common in Roaring spring at 18.5% compared to 14.9% in Oxford.
- Oxford has higher obesity rates at 35.0% compared to 34.7% in Roaring spring.
- Disability percentages are higher in Roaring spring at 14.0% compared to 8.0% in Oxford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Roaring spring | Oxford |
|---|---|---|
| No Schooling | 0.4% (9) | 0.4% (114) |
| High School Diploma | 25.9% (605) | 7.0% (1,862) |
| Less than High School | 7.2% (168) | 5.5% (1,444) |
| Bachelor's Degree and Higher | 13.5% (316) | 33.0% (8,735) |
Education Levels Comparison: Roaring spring vs Oxford
- The percentage of residents with no formal schooling is the same in both Roaring spring and Oxford at 0.4%.
- A higher percentage of residents in Roaring spring hold a high school diploma at 25.9% compared to 7.0% in Oxford.
- More residents in Roaring spring have less than a high school education at 7.2% compared to 5.5% in Oxford.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 33.0% compared to 13.5% in Roaring spring.
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.