Demographics details for Hoover, AL vs Villas, NJ
Population Overview
Compare main population characteristics in Hoover, AL vs Villas, NJ.
| Data | Hoover | Villas |
|---|---|---|
| Population | 92,435 | 9,925 |
| Median Age | 38.3 years | 42.4 years |
| Median Income | $101,765 | $74,182 |
| Married Families | 46.0% | 42.0% |
| Poverty Level | 7% | 6% |
| Unemployment Rate | 2.2 | 4.2 |
Population Comparison: Hoover vs Villas
- In Hoover, the population is higher at 92,435, compared to 9,925 in Villas.
- The median age in Villas is higher at 42.4 years, compared to 38.3 years in Hoover.
- Hoover has a higher median income of $101,765 compared to $74,182 in Villas.
- A higher percentage of married families is found in Hoover at 46.0% compared to 42.0% in Villas.
- Hoover has a higher poverty level at 7% compared to 6% in Villas.
- Villas has a higher unemployment rate at 4.2% compared to 2.2% in Hoover.
Demographics
Demographics Hoover vs Villas provide insight into the diversity of the communities to compare.
| Demographic | Hoover | Villas |
|---|---|---|
| Black | 20 | 1 |
| White | 67 | 88 |
| Asian | 5 | 1 |
| Hispanic | 5 | 6 |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hoover vs Villas
- A higher percentage of Black residents are in Hoover at 20% compared to 1% in Villas.
- The percentage of White residents is higher in Villas at 88% compared to 67% in Hoover.
- The Asian population is larger in Hoover at 5% compared to 1% in Villas.
- Villas 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 Villas at 6%, compared to 3% in Hoover.
- The percentage of American Indian residents is the same in both Hoover and Villas at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hoover | Villas |
|---|---|---|
| Mental Health Not Good | 14.9% | 17.8% |
| Physical Health Not Good | 8.6% | 12.2% |
| Depression | 21.3% | 25.1% |
| Smoking | 11.0% | 19.2% |
| Binge Drinking | 16.7% | 18.9% |
| Obesity | 32.1% | 34.4% |
| Disability Percentage | 9.0% | 18.0% |
Health Statistics Comparison: Hoover vs Villas
- In Villas, a higher percentage report poor mental health at 17.8% compared to 14.9% in Hoover.
- Higher depression rates are seen in Villas at 25.1% versus 21.3% in Hoover.
- Villas has a higher smoking rate at 19.2% compared to 11.0% in Hoover.
- More residents engage in binge drinking in Villas at 18.9% compared to 16.7% in Hoover.
- Villas has higher obesity rates at 34.4% compared to 32.1% in Hoover.
- There is a higher percentage of disabled individuals in Villas at 18.0% 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 | Villas |
|---|---|---|
| No Schooling | 0.6% (583) | 0.9% (89) |
| High School Diploma | 7.3% (6,787) | 24.7% (2,455) |
| Less than High School | 3.8% (3,478) | 9.5% (946) |
| Bachelor's Degree and Higher | 41.1% (38,000) | 17.4% (1,724) |
Education Levels Comparison: Hoover vs Villas
- In Villas, a larger percentage of residents lack formal schooling at 0.9% compared to 0.6% in Hoover.
- In Villas, the rate of residents with high school diplomas is higher at 24.7% compared to 7.3% in Hoover.
- The percentage of residents with less than a high school education is higher in Villas at 9.5%, 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 17.4% in Villas.
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.