Demographics details for Crown city, OH vs Hoover, AL
Population Overview
Compare main population characteristics in Crown city, OH vs Hoover, AL.
| Data | Crown city | Hoover |
|---|---|---|
| Population | 423 | 92,435 |
| Median Age | 31.0 years | 38.3 years |
| Median Income | $56,719 | $101,765 |
| Married Families | 44.0% | 46.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 4.5 | 2.2 |
Population Comparison: Crown city vs Hoover
- The population in Hoover is higher at 92,435, compared to 423 in Crown city.
- The median age in Hoover is higher at 38.3 years, compared to 31.0 years in Crown city.
- Hoover has a higher median income of $101,765, compared to $56,719 in Crown city.
- In Hoover, the percentage of married families is higher at 46.0%, compared to 44.0% in Crown city.
- Crown city has a higher poverty level at 10% compared to 7% in Hoover.
- The unemployment rate in Crown city is higher at 4.5%, compared to 2.2% in Hoover.
Demographics
Demographics Crown city vs Hoover provide insight into the diversity of the communities to compare.
| Demographic | Crown city | Hoover |
|---|---|---|
| Black | Data is updating | 20 |
| White | 97 | 67 |
| Asian | Data is updating | 5 |
| Hispanic | 3 | 5 |
| Two or More Races | Data is updating | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Crown city vs Hoover
- In Hoover, the percentage of Black residents is higher at 20% compared to 0% in Crown city.
- Crown city has a higher percentage of White residents at 97% compared to 67% in Hoover.
- In Hoover, the Asian population stands at 5%, greater than 0% in Crown city.
- Hoover has a higher percentage of Hispanic residents at 5%, compared to 3% in Crown city.
- The percentage of residents identifying as two or more races is higher in Hoover at 3%, compared to 0% in Crown city.
- The percentage of American Indian residents is the same in both Crown city and Hoover at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Crown city | Hoover |
|---|---|---|
| Mental Health Not Good | 19.8% | 14.9% |
| Physical Health Not Good | 13.8% | 8.6% |
| Depression | 25.9% | 21.3% |
| Smoking | 24.5% | 11.0% |
| Binge Drinking | 17.3% | 16.7% |
| Obesity | 40.4% | 32.1% |
| Disability Percentage | 25.0% | 9.0% |
Health Statistics Comparison: Crown city vs Hoover
- More residents in Crown city report poor mental health at 19.8% compared to 14.9% in Hoover.
- Depression is more prevalent in Crown city at 25.9% compared to 21.3% in Hoover.
- Smoking is more prevalent in Crown city at 24.5% compared to 11.0% in Hoover.
- Binge drinking is more common in Crown city at 17.3% compared to 16.7% in Hoover.
- Obesity rates are higher in Crown city at 40.4% compared to 32.1% in Hoover.
- Disability percentages are higher in Crown city at 25.0% 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 | Crown city | Hoover |
|---|---|---|
| No Schooling | 0.2% (1) | 0.6% (583) |
| High School Diploma | 25.5% (108) | 7.3% (6,787) |
| Less than High School | 10.4% (44) | 3.8% (3,478) |
| Bachelor's Degree and Higher | 7.3% (31) | 41.1% (38,000) |
Education Levels Comparison: Crown city vs Hoover
- In Hoover, a larger percentage of residents lack formal schooling at 0.6% compared to 0.2% in Crown city.
- A higher percentage of residents in Crown city hold a high school diploma at 25.5% compared to 7.3% in Hoover.
- More residents in Crown city have less than a high school education at 10.4% compared to 3.8% in Hoover.
- In Hoover, a larger share of residents have a bachelor's degree or higher at 41.1% compared to 7.3% in Crown 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.