Demographics details for Madison heights, VA vs Hoover, AL
Population Overview
Compare main population characteristics in Madison heights, VA vs Hoover, AL.
Data | Madison heights | Hoover |
---|---|---|
Population | 10,694 | 92,435 |
Median Age | 44.1 years | 38.3 years |
Median Income | $59,570 | $101,765 |
Married Families | 38.0% | 46.0% |
Poverty Level | 12% | 7% |
Unemployment Rate | 3.5 | 2.2 |
Population Comparison: Madison heights vs Hoover
- The population in Hoover is higher at 92,435, compared to 10,694 in Madison heights.
- Residents in Madison heights have a higher median age of 44.1 years compared to 38.3 years in Hoover.
- Hoover has a higher median income of $101,765, compared to $59,570 in Madison heights.
- In Hoover, the percentage of married families is higher at 46.0%, compared to 38.0% in Madison heights.
- Madison heights has a higher poverty level at 12% compared to 7% in Hoover.
- The unemployment rate in Madison heights is higher at 3.5%, compared to 2.2% in Hoover.
Demographics
Demographics Madison heights vs Hoover provide insight into the diversity of the communities to compare.
Demographic | Madison heights | Hoover |
---|---|---|
Black | 23 | 20 |
White | 71 | 67 |
Asian | Data is updating | 5 |
Hispanic | 3 | 5 |
Two or More Races | 3 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Madison heights vs Hoover
- A higher percentage of Black residents are in Madison heights at 23% compared to 20% in Hoover.
- Madison heights has a higher percentage of White residents at 71% compared to 67% in Hoover.
- In Hoover, the Asian population stands at 5%, greater than 0% in Madison heights.
- Hoover has a higher percentage of Hispanic residents at 5%, compared to 3% in Madison heights.
- Both Madison heights and Hoover have the same percentage of residents identifying as two or more races at 3%.
- The percentage of American Indian residents is the same in both Madison heights and Hoover at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Madison heights | Hoover |
---|---|---|
Mental Health Not Good | 18.3% | 14.9% |
Physical Health Not Good | 12.1% | 8.6% |
Depression | 24.7% | 21.3% |
Smoking | 19.0% | 11.0% |
Binge Drinking | 17.3% | 16.7% |
Obesity | 36.8% | 32.1% |
Disability Percentage | 20.0% | 9.0% |
Health Statistics Comparison: Madison heights vs Hoover
- More residents in Madison heights report poor mental health at 18.3% compared to 14.9% in Hoover.
- Depression is more prevalent in Madison heights at 24.7% compared to 21.3% in Hoover.
- Smoking is more prevalent in Madison heights at 19.0% compared to 11.0% in Hoover.
- Binge drinking is more common in Madison heights at 17.3% compared to 16.7% in Hoover.
- Obesity rates are higher in Madison heights at 36.8% compared to 32.1% in Hoover.
- Disability percentages are higher in Madison heights 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 | Madison heights | Hoover |
---|---|---|
No Schooling | 1.6% (171) | 0.6% (583) |
High School Diploma | 20.6% (2,206) | 7.3% (6,787) |
Less than High School | 16.4% (1,753) | 3.8% (3,478) |
Bachelor's Degree and Higher | 11.3% (1,207) | 41.1% (38,000) |
Education Levels Comparison: Madison heights vs Hoover
- A higher percentage of residents in Madison heights have no formal schooling at 1.6% compared to 0.6% in Hoover.
- A higher percentage of residents in Madison heights hold a high school diploma at 20.6% compared to 7.3% in Hoover.
- More residents in Madison heights have less than a high school education at 16.4% 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 11.3% in Madison heights.
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.