Demographics details for Oxford, AL vs Pahrump, NV
Population Overview
Compare main population characteristics in Oxford, AL vs Pahrump, NV.
| Data | Oxford | Pahrump |
|---|---|---|
| Population | 22,002 | 44,711 |
| Median Age | 37.4 years | 53.7 years |
| Median Income | $66,031 | $54,988 |
| Married Families | 37.0% | 45.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Oxford vs Pahrump
- The population in Pahrump is higher at 44,711, compared to 22,002 in Oxford.
- The median age in Pahrump is higher at 53.7 years, compared to 37.4 years in Oxford.
- Oxford has a higher median income of $66,031 compared to $54,988 in Pahrump.
- In Pahrump, the percentage of married families is higher at 45.0%, compared to 37.0% in Oxford.
- The poverty level is identical in both Oxford and Pahrump at 10%.
- Pahrump has a higher unemployment rate at 5.1% compared to 3.5% in Oxford.
Demographics
Demographics Oxford vs Pahrump provide insight into the diversity of the communities to compare.
| Demographic | Oxford | Pahrump |
|---|---|---|
| Black | 16 | 2 |
| White | 73 | 69 |
| Asian | 1 | 2 |
| Hispanic | 7 | 16 |
| Two or More Races | 3 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Oxford vs Pahrump
- A higher percentage of Black residents are in Oxford at 16% compared to 2% in Pahrump.
- Oxford has a higher percentage of White residents at 73% compared to 69% in Pahrump.
- In Pahrump, the Asian population stands at 2%, greater than 1% in Oxford.
- Pahrump has a higher percentage of Hispanic residents at 16%, compared to 7% in Oxford.
- The percentage of residents identifying as two or more races is higher in Pahrump at 10%, compared to 3% in Oxford.
- In Pahrump, the percentage of American Indian residents is higher at 1%, compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oxford | Pahrump |
|---|---|---|
| Mental Health Not Good | 18.8% | 20.8% |
| Physical Health Not Good | 13.2% | 14.6% |
| Depression | 23.8% | 24.4% |
| Smoking | 19.8% | 23.0% |
| Binge Drinking | 15.1% | 15.9% |
| Obesity | 37.4% | 38.5% |
| Disability Percentage | 19.0% | 23.0% |
Health Statistics Comparison: Oxford vs Pahrump
- In Pahrump, a higher percentage report poor mental health at 20.8% compared to 18.8% in Oxford.
- Higher depression rates are seen in Pahrump at 24.4% versus 23.8% in Oxford.
- Pahrump has a higher smoking rate at 23.0% compared to 19.8% in Oxford.
- More residents engage in binge drinking in Pahrump at 15.9% compared to 15.1% in Oxford.
- Pahrump has higher obesity rates at 38.5% compared to 37.4% in Oxford.
- There is a higher percentage of disabled individuals in Pahrump at 23.0% compared to 19.0% in Oxford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oxford | Pahrump |
|---|---|---|
| No Schooling | 1.4% (306) | 1.1% (507) |
| High School Diploma | 16.1% (3,534) | 23.0% (10,287) |
| Less than High School | 17.9% (3,933) | 20.5% (9,157) |
| Bachelor's Degree and Higher | 16.5% (3,625) | 10.1% (4,495) |
Education Levels Comparison: Oxford vs Pahrump
- A higher percentage of residents in Oxford have no formal schooling at 1.4% compared to 1.1% in Pahrump.
- In Pahrump, the rate of residents with high school diplomas is higher at 23.0% compared to 16.1% in Oxford.
- The percentage of residents with less than a high school education is higher in Pahrump at 20.5%, compared to 17.9% in Oxford.
- A higher percentage of residents in Oxford hold a bachelor's degree or higher at 16.5% compared to 10.1% in Pahrump.
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.