Demographics details for Broken bow, NE vs Oxford, AL
Population Overview
Compare main population characteristics in Broken bow, NE vs Oxford, AL.
| Data | Broken bow | Oxford |
|---|---|---|
| Population | 3,474 | 22,002 |
| Median Age | 41.4 years | 37.4 years |
| Median Income | $49,425 | $66,031 |
| Married Families | 40.0% | 37.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Broken bow vs Oxford
- The population in Oxford is higher at 22,002, compared to 3,474 in Broken bow.
- Residents in Broken bow have a higher median age of 41.4 years compared to 37.4 years in Oxford.
- Oxford has a higher median income of $66,031, compared to $49,425 in Broken bow.
- A higher percentage of married families is found in Broken bow at 40.0% compared to 37.0% in Oxford.
- Broken bow has a higher poverty level at 11% compared to 10% in Oxford.
- Oxford has a higher unemployment rate at 3.5% compared to 2.5% in Broken bow.
Demographics
Demographics Broken bow vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Broken bow | Oxford |
|---|---|---|
| Black | 2 | 16 |
| White | 88 | 73 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 7 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Broken bow vs Oxford
- In Oxford, the percentage of Black residents is higher at 16% compared to 2% in Broken bow.
- Broken bow has a higher percentage of White residents at 88% compared to 73% in Oxford.
- In Oxford, the Asian population stands at 1%, greater than 0% in Broken bow.
- Oxford has a higher percentage of Hispanic residents at 7%, compared to 6% in Broken bow.
- More residents identify as two or more races in Broken bow at 4% compared to 3% in Oxford.
- The percentage of American Indian residents is the same in both Broken bow and Oxford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Broken bow | Oxford |
|---|---|---|
| Mental Health Not Good | 14.2% | 18.8% |
| Physical Health Not Good | 10.0% | 13.2% |
| Depression | 17.1% | 23.8% |
| Smoking | 16.3% | 19.8% |
| Binge Drinking | 20.7% | 15.1% |
| Obesity | 38.2% | 37.4% |
| Disability Percentage | 19.0% | 19.0% |
Health Statistics Comparison: Broken bow vs Oxford
- In Oxford, a higher percentage report poor mental health at 18.8% compared to 14.2% in Broken bow.
- Higher depression rates are seen in Oxford at 23.8% versus 17.1% in Broken bow.
- Oxford has a higher smoking rate at 19.8% compared to 16.3% in Broken bow.
- Binge drinking is more common in Broken bow at 20.7% compared to 15.1% in Oxford.
- Obesity rates are higher in Broken bow at 38.2% compared to 37.4% in Oxford.
- Disability percentages are the same in both Broken bow and Oxford at 19.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Broken bow | Oxford |
|---|---|---|
| No Schooling | 1.2% (42) | 1.4% (306) |
| High School Diploma | 19.8% (689) | 16.1% (3,534) |
| Less than High School | 7.3% (253) | 17.9% (3,933) |
| Bachelor's Degree and Higher | 14.7% (512) | 16.5% (3,625) |
Education Levels Comparison: Broken bow vs Oxford
- In Oxford, a larger percentage of residents lack formal schooling at 1.4% compared to 1.2% in Broken bow.
- A higher percentage of residents in Broken bow hold a high school diploma at 19.8% compared to 16.1% in Oxford.
- The percentage of residents with less than a high school education is higher in Oxford at 17.9%, compared to 7.3% in Broken bow.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 16.5% compared to 14.7% in Broken bow.
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.