Demographics details for Hoover, AL vs Ponca city, OK
Population Overview
Compare main population characteristics in Hoover, AL vs Ponca city, OK.
| Data | Hoover | Ponca city |
|---|---|---|
| Population | 92,435 | 24,340 |
| Median Age | 38.3 years | 37.0 years |
| Median Income | $101,765 | $51,367 |
| Married Families | 46.0% | 34.0% |
| Poverty Level | 7% | 18% |
| Unemployment Rate | 2.2 | 4.4 |
Population Comparison: Hoover vs Ponca city
- In Hoover, the population is higher at 92,435, compared to 24,340 in Ponca city.
- Residents in Hoover have a higher median age of 38.3 years compared to 37.0 years in Ponca city.
- Hoover has a higher median income of $101,765 compared to $51,367 in Ponca city.
- A higher percentage of married families is found in Hoover at 46.0% compared to 34.0% in Ponca city.
- The poverty level is higher in Ponca city at 18%, compared to 7% in Hoover.
- Ponca city has a higher unemployment rate at 4.4% compared to 2.2% in Hoover.
Demographics
Demographics Hoover vs Ponca city provide insight into the diversity of the communities to compare.
| Demographic | Hoover | Ponca city |
|---|---|---|
| Black | 20 | 3 |
| White | 67 | 67 |
| Asian | 5 | 1 |
| Hispanic | 5 | 9 |
| Two or More Races | 3 | 12 |
| American Indian | Data is updating | 8 |
Demographics Comparison: Hoover vs Ponca city
- A higher percentage of Black residents are in Hoover at 20% compared to 3% in Ponca city.
- The percentage of White residents is the same in both Hoover and Ponca city at 67%.
- The Asian population is larger in Hoover at 5% compared to 1% in Ponca city.
- Ponca city has a higher percentage of Hispanic residents at 9%, compared to 5% in Hoover.
- The percentage of residents identifying as two or more races is higher in Ponca city at 12%, compared to 3% in Hoover.
- In Ponca city, the percentage of American Indian residents is higher at 8%, compared to 0% in Hoover.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hoover | Ponca city |
|---|---|---|
| Mental Health Not Good | 14.9% | 20.0% |
| Physical Health Not Good | 8.6% | 13.6% |
| Depression | 21.3% | 27.0% |
| Smoking | 11.0% | 22.1% |
| Binge Drinking | 16.7% | 14.8% |
| Obesity | 32.1% | 40.0% |
| Disability Percentage | 9.0% | 19.0% |
Health Statistics Comparison: Hoover vs Ponca city
- In Ponca city, a higher percentage report poor mental health at 20.0% compared to 14.9% in Hoover.
- Higher depression rates are seen in Ponca city at 27.0% versus 21.3% in Hoover.
- Ponca city has a higher smoking rate at 22.1% compared to 11.0% in Hoover.
- Binge drinking is more common in Hoover at 16.7% compared to 14.8% in Ponca city.
- Ponca city has higher obesity rates at 40.0% compared to 32.1% in Hoover.
- There is a higher percentage of disabled individuals in Ponca city at 19.0% compared to 9.0% in Hoover.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hoover | Ponca city |
|---|---|---|
| No Schooling | 0.6% (583) | 0.2% (51) |
| High School Diploma | 7.3% (6,787) | 17.0% (4,148) |
| Less than High School | 3.8% (3,478) | 12.0% (2,914) |
| Bachelor's Degree and Higher | 41.1% (38,000) | 12.6% (3,069) |
Education Levels Comparison: Hoover vs Ponca city
- A higher percentage of residents in Hoover have no formal schooling at 0.6% 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 7.3% in Hoover.
- The percentage of residents with less than a high school education is higher in Ponca city at 12.0%, compared to 3.8% in Hoover.
- A higher percentage of residents in Hoover hold a bachelor's degree or higher at 41.1% 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.