Demographics details for Pea ridge, AR vs Hoover, AL
Population Overview
Compare main population characteristics in Pea ridge, AR vs Hoover, AL.
| Data | Pea ridge | Hoover |
|---|---|---|
| Population | 7,852 | 92,435 |
| Median Age | 35.6 years | 38.3 years |
| Median Income | $93,113 | $101,765 |
| Married Families | 42.0% | 46.0% |
| Poverty Level | 8% | 7% |
| Unemployment Rate | 3.5 | 2.2 |
Population Comparison: Pea ridge vs Hoover
- The population in Hoover is higher at 92,435, compared to 7,852 in Pea ridge.
- The median age in Hoover is higher at 38.3 years, compared to 35.6 years in Pea ridge.
- Hoover has a higher median income of $101,765, compared to $93,113 in Pea ridge.
- In Hoover, the percentage of married families is higher at 46.0%, compared to 42.0% in Pea ridge.
- Pea ridge has a higher poverty level at 8% compared to 7% in Hoover.
- The unemployment rate in Pea ridge is higher at 3.5%, compared to 2.2% in Hoover.
Demographics
Demographics Pea ridge vs Hoover provide insight into the diversity of the communities to compare.
| Demographic | Pea ridge | Hoover |
|---|---|---|
| Black | 4 | 20 |
| White | 70 | 67 |
| Asian | 1 | 5 |
| Hispanic | 9 | 5 |
| Two or More Races | 15 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pea ridge vs Hoover
- In Hoover, the percentage of Black residents is higher at 20% compared to 4% in Pea ridge.
- Pea ridge has a higher percentage of White residents at 70% compared to 67% in Hoover.
- In Hoover, the Asian population stands at 5%, greater than 1% in Pea ridge.
- The Hispanic community is larger in Pea ridge at 9% compared to 5% in Hoover.
- More residents identify as two or more races in Pea ridge at 15% compared to 3% in Hoover.
- A greater percentage of American Indian residents live in Pea ridge at 1% compared to 0% in Hoover.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pea ridge | Hoover |
|---|---|---|
| Mental Health Not Good | 18.0% | 14.9% |
| Physical Health Not Good | 11.7% | 8.6% |
| Depression | 25.0% | 21.3% |
| Smoking | 17.9% | 11.0% |
| Binge Drinking | 17.0% | 16.7% |
| Obesity | 34.8% | 32.1% |
| Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Pea ridge vs Hoover
- More residents in Pea ridge report poor mental health at 18.0% compared to 14.9% in Hoover.
- Depression is more prevalent in Pea ridge at 25.0% compared to 21.3% in Hoover.
- Smoking is more prevalent in Pea ridge at 17.9% compared to 11.0% in Hoover.
- Binge drinking is more common in Pea ridge at 17.0% compared to 16.7% in Hoover.
- Obesity rates are higher in Pea ridge at 34.8% compared to 32.1% in Hoover.
- Disability percentages are higher in Pea ridge at 12.0% 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 | Pea ridge | Hoover |
|---|---|---|
| No Schooling | 0.3% (23) | 0.6% (583) |
| High School Diploma | 17.7% (1,390) | 7.3% (6,787) |
| Less than High School | 9.8% (773) | 3.8% (3,478) |
| Bachelor's Degree and Higher | 14.4% (1,131) | 41.1% (38,000) |
Education Levels Comparison: Pea ridge vs Hoover
- In Hoover, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Pea ridge.
- A higher percentage of residents in Pea ridge hold a high school diploma at 17.7% compared to 7.3% in Hoover.
- More residents in Pea ridge have less than a high school education at 9.8% 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 14.4% in Pea ridge.
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.