Demographics details for Butler, PA vs Oxford, NC
Population Overview
Compare main population characteristics in Butler, PA vs Oxford, NC.
| Data | Butler | Oxford |
|---|---|---|
| Population | 13,176 | 8,771 |
| Median Age | 38.2 years | 43.1 years |
| Median Income | $39,546 | $42,016 |
| Married Families | 26.0% | 29.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Butler vs Oxford
- In Butler, the population is higher at 13,176, compared to 8,771 in Oxford.
- The median age in Oxford is higher at 43.1 years, compared to 38.2 years in Butler.
- Oxford has a higher median income of $42,016, compared to $39,546 in Butler.
- In Oxford, the percentage of married families is higher at 29.0%, compared to 26.0% in Butler.
- The poverty level is identical in both Butler and Oxford at 12%.
- The unemployment rate in Butler is higher at 4.2%, compared to 4.1% in Oxford.
Demographics
Demographics Butler vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Butler | Oxford |
|---|---|---|
| Black | 3 | 55 |
| White | 88 | 31 |
| Asian | 1 | 1 |
| Hispanic | 3 | 6 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Oxford
- In Oxford, the percentage of Black residents is higher at 55% compared to 3% in Butler.
- Butler has a higher percentage of White residents at 88% compared to 31% in Oxford.
- Both Butler and Oxford have the same percentage of Asian residents at 1%.
- Oxford has a higher percentage of Hispanic residents at 6%, compared to 3% in Butler.
- The percentage of residents identifying as two or more races is higher in Oxford at 7%, compared to 5% in Butler.
- The percentage of American Indian residents is the same in both Butler and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Oxford |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.7% |
| Physical Health Not Good | 14.5% | 13.3% |
| Depression | 24.4% | 22.8% |
| Smoking | 24.6% | 20.8% |
| Binge Drinking | 17.4% | 14.8% |
| Obesity | 38.2% | 45.0% |
| Disability Percentage | 23.0% | 15.0% |
Health Statistics Comparison: Butler vs Oxford
- More residents in Butler report poor mental health at 19.1% compared to 17.7% in Oxford.
- Depression is more prevalent in Butler at 24.4% compared to 22.8% in Oxford.
- Smoking is more prevalent in Butler at 24.6% compared to 20.8% in Oxford.
- Binge drinking is more common in Butler at 17.4% compared to 14.8% in Oxford.
- Oxford has higher obesity rates at 45.0% compared to 38.2% in Butler.
- Disability percentages are higher in Butler at 23.0% compared to 15.0% in Oxford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Oxford |
|---|---|---|
| No Schooling | 0.1% (14) | 2.9% (256) |
| High School Diploma | 23.6% (3,115) | 15.8% (1,386) |
| Less than High School | 9.3% (1,222) | 11.2% (980) |
| Bachelor's Degree and Higher | 15.6% (2,049) | 16.6% (1,457) |
Education Levels Comparison: Butler vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 2.9% compared to 0.1% in Butler.
- A higher percentage of residents in Butler hold a high school diploma at 23.6% compared to 15.8% in Oxford.
- The percentage of residents with less than a high school education is higher in Oxford at 11.2%, compared to 9.3% in Butler.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 16.6% compared to 15.6% in Butler.
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.