Demographics details for Auburn, AL vs Ponca city, OK
Population Overview
Compare main population characteristics in Auburn, AL vs Ponca city, OK.
| Data | Auburn | Ponca city |
|---|---|---|
| Population | 80,006 | 24,340 |
| Median Age | 25.9 years | 37.0 years |
| Median Income | $55,509 | $51,367 |
| Married Families | 32.0% | 34.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 3.0 | 4.4 |
Population Comparison: Auburn vs Ponca city
- In Auburn, the population is higher at 80,006, compared to 24,340 in Ponca city.
- The median age in Ponca city is higher at 37.0 years, compared to 25.9 years in Auburn.
- Auburn has a higher median income of $55,509 compared to $51,367 in Ponca city.
- In Ponca city, the percentage of married families is higher at 34.0%, compared to 32.0% in Auburn.
- The poverty level is higher in Ponca city at 18%, compared to 10% in Auburn.
- Ponca city has a higher unemployment rate at 4.4% compared to 3.0% in Auburn.
Demographics
Demographics Auburn vs Ponca city provide insight into the diversity of the communities to compare.
| Demographic | Auburn | Ponca city |
|---|---|---|
| Black | 17 | 3 |
| White | 69 | 67 |
| Asian | 8 | 1 |
| Hispanic | 3 | 9 |
| Two or More Races | 3 | 12 |
| American Indian | Data is updating | 8 |
Demographics Comparison: Auburn vs Ponca city
- A higher percentage of Black residents are in Auburn at 17% compared to 3% in Ponca city.
- Auburn has a higher percentage of White residents at 69% compared to 67% in Ponca city.
- The Asian population is larger in Auburn at 8% compared to 1% in Ponca city.
- Ponca city has a higher percentage of Hispanic residents at 9%, compared to 3% in Auburn.
- The percentage of residents identifying as two or more races is higher in Ponca city at 12%, compared to 3% in Auburn.
- In Ponca city, the percentage of American Indian residents is higher at 8%, compared to 0% in Auburn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Auburn | Ponca city |
|---|---|---|
| Mental Health Not Good | 17.6% | 20.0% |
| Physical Health Not Good | 12.0% | 13.6% |
| Depression | 22.0% | 27.0% |
| Smoking | 15.5% | 22.1% |
| Binge Drinking | 14.5% | 14.8% |
| Obesity | 38.7% | 40.0% |
| Disability Percentage | 8.0% | 19.0% |
Health Statistics Comparison: Auburn vs Ponca city
- In Ponca city, a higher percentage report poor mental health at 20.0% compared to 17.6% in Auburn.
- Higher depression rates are seen in Ponca city at 27.0% versus 22.0% in Auburn.
- Ponca city has a higher smoking rate at 22.1% compared to 15.5% in Auburn.
- More residents engage in binge drinking in Ponca city at 14.8% compared to 14.5% in Auburn.
- Ponca city has higher obesity rates at 40.0% compared to 38.7% in Auburn.
- There is a higher percentage of disabled individuals in Ponca city at 19.0% compared to 8.0% in Auburn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Auburn | Ponca city |
|---|---|---|
| No Schooling | 0.3% (236) | 0.2% (51) |
| High School Diploma | 5.3% (4,206) | 17.0% (4,148) |
| Less than High School | 2.5% (1,964) | 12.0% (2,914) |
| Bachelor's Degree and Higher | 30.7% (24,546) | 12.6% (3,069) |
Education Levels Comparison: Auburn vs Ponca city
- A higher percentage of residents in Auburn have no formal schooling at 0.3% compared to 0.2% in Ponca city.
- In Ponca city, the rate of residents with high school diplomas is higher at 17.0% compared to 5.3% in Auburn.
- The percentage of residents with less than a high school education is higher in Ponca city at 12.0%, compared to 2.5% in Auburn.
- A higher percentage of residents in Auburn hold a bachelor's degree or higher at 30.7% compared to 12.6% in Ponca city.
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.