Demographics details for Ewell, MD vs Hoover, AL
Population Overview
Compare main population characteristics in Ewell, MD vs Hoover, AL.
Data | Ewell | Hoover |
---|---|---|
Population | Data is updating | 92,435 |
Median Age | Data is updating | 38.3 years |
Median Income | $Data is updating | $101,765 |
Married Families | Data is updating | 46.0% |
Poverty Level | Data is updating | 7% |
Unemployment Rate | Data is updating | 2.2 |
Population Comparison: Ewell vs Hoover
- The population is identical in both Ewell and Hoover at None.
- The median age in Hoover is higher at 38.3 years, compared to 0.0 years in Ewell.
- Hoover has a higher median income of $101,765, compared to $0 in Ewell.
- In Hoover, the percentage of married families is higher at 46.0%, compared to 0.0% in Ewell.
- The poverty level is higher in Hoover at 7%, compared to 0% in Ewell.
- Hoover has a higher unemployment rate at 2.2% compared to 0.0% in Ewell.
Demographics
Demographics Ewell vs Hoover provide insight into the diversity of the communities to compare.
Demographic | Ewell | Hoover |
---|---|---|
Black | Data is updating | 20 |
White | 100 | 67 |
Asian | Data is updating | 5 |
Hispanic | Data is updating | 5 |
Two or More Races | Data is updating | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ewell vs Hoover
- In Hoover, the percentage of Black residents is higher at 20% compared to 0% in Ewell.
- Ewell has a higher percentage of White residents at 100% compared to 67% in Hoover.
- In Hoover, the Asian population stands at 5%, greater than 0% in Ewell.
- Hoover has a higher percentage of Hispanic residents at 5%, compared to 0% in Ewell.
- The percentage of residents identifying as two or more races is higher in Hoover at 3%, compared to 0% in Ewell.
- The percentage of American Indian residents is the same in both Ewell and Hoover at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ewell | Hoover |
---|---|---|
Mental Health Not Good | Data is updating% | 14.9% |
Physical Health Not Good | Data is updating% | 8.6% |
Depression | Data is updating% | 21.3% |
Smoking | Data is updating% | 11.0% |
Binge Drinking | Data is updating% | 16.7% |
Obesity | Data is updating% | 32.1% |
Disability Percentage | Data is updating% | 9.0% |
Health Statistics Comparison: Ewell vs Hoover
- In Hoover, a higher percentage report poor mental health at 14.9% compared to 0.0% in Ewell.
- Higher depression rates are seen in Hoover at 21.3% versus 0.0% in Ewell.
- Hoover has a higher smoking rate at 11.0% compared to 0.0% in Ewell.
- More residents engage in binge drinking in Hoover at 16.7% compared to 0.0% in Ewell.
- Hoover has higher obesity rates at 32.1% compared to 0.0% in Ewell.
- There is a higher percentage of disabled individuals in Hoover at 9.0% compared to 0.0% in Ewell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ewell | Hoover |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.6% (583) |
High School Diploma | 0.0% (Data is updating) | 7.3% (6,787) |
Less than High School | 0.0% (Data is updating) | 3.8% (3,478) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 41.1% (38,000) |
Education Levels Comparison: Ewell vs Hoover
- In Hoover, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Ewell.
- In Hoover, the rate of residents with high school diplomas is higher at 7.3% compared to 0.0% in Ewell.
- The percentage of residents with less than a high school education is higher in Hoover at 3.8%, compared to 0.0% in Ewell.
- In Hoover, a larger share of residents have a bachelor's degree or higher at 41.1% compared to 0.0% in Ewell.
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.