Demographics details for Hoover, AL vs Dayton, TN
Population Overview
Compare main population characteristics in Hoover, AL vs Dayton, TN.
| Data | Hoover | Dayton |
|---|---|---|
| Population | 92,435 | 7,347 |
| Median Age | 38.3 years | 34.6 years |
| Median Income | $101,765 | $54,511 |
| Married Families | 46.0% | 36.0% |
| Poverty Level | 7% | 15% |
| Unemployment Rate | 2.2 | 3.5 |
Population Comparison: Hoover vs Dayton
- In Hoover, the population is higher at 92,435, compared to 7,347 in Dayton.
- Residents in Hoover have a higher median age of 38.3 years compared to 34.6 years in Dayton.
- Hoover has a higher median income of $101,765 compared to $54,511 in Dayton.
- A higher percentage of married families is found in Hoover at 46.0% compared to 36.0% in Dayton.
- The poverty level is higher in Dayton at 15%, compared to 7% in Hoover.
- Dayton has a higher unemployment rate at 3.5% compared to 2.2% in Hoover.
Demographics
Demographics Hoover vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Hoover | Dayton |
|---|---|---|
| Black | 20 | 4 |
| White | 67 | 83 |
| Asian | 5 | 2 |
| Hispanic | 5 | 6 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hoover vs Dayton
- A higher percentage of Black residents are in Hoover at 20% compared to 4% in Dayton.
- The percentage of White residents is higher in Dayton at 83% compared to 67% in Hoover.
- The Asian population is larger in Hoover at 5% compared to 2% in Dayton.
- Dayton has a higher percentage of Hispanic residents at 6%, compared to 5% in Hoover.
- The percentage of residents identifying as two or more races is higher in Dayton at 5%, compared to 3% in Hoover.
- The percentage of American Indian residents is the same in both Hoover and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hoover | Dayton |
|---|---|---|
| Mental Health Not Good | 14.9% | 22.9% |
| Physical Health Not Good | 8.6% | 17.4% |
| Depression | 21.3% | 32.0% |
| Smoking | 11.0% | 28.8% |
| Binge Drinking | 16.7% | 13.4% |
| Obesity | 32.1% | 44.2% |
| Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Hoover vs Dayton
- In Dayton, a higher percentage report poor mental health at 22.9% compared to 14.9% in Hoover.
- Higher depression rates are seen in Dayton at 32.0% versus 21.3% in Hoover.
- Dayton has a higher smoking rate at 28.8% compared to 11.0% in Hoover.
- Binge drinking is more common in Hoover at 16.7% compared to 13.4% in Dayton.
- Dayton has higher obesity rates at 44.2% compared to 32.1% in Hoover.
- There is a higher percentage of disabled individuals in Dayton at 20.0% 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 | Dayton |
|---|---|---|
| No Schooling | 0.6% (583) | 2.0% (145) |
| High School Diploma | 7.3% (6,787) | 19.8% (1,453) |
| Less than High School | 3.8% (3,478) | 23.6% (1,732) |
| Bachelor's Degree and Higher | 41.1% (38,000) | 10.7% (783) |
Education Levels Comparison: Hoover vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 2.0% compared to 0.6% in Hoover.
- In Dayton, the rate of residents with high school diplomas is higher at 19.8% compared to 7.3% in Hoover.
- The percentage of residents with less than a high school education is higher in Dayton at 23.6%, 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 10.7% in Dayton.
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.