Demographics details for Swans island, ME vs Hoover, AL
Population Overview
Compare main population characteristics in Swans island, ME vs Hoover, AL.
Data | Swans island | Hoover |
---|---|---|
Population | 417 | 92,435 |
Median Age | 58.3 years | 38.3 years |
Median Income | $78,000 | $101,765 |
Married Families | 56.0% | 46.0% |
Poverty Level | 4% | 7% |
Unemployment Rate | 1.2 | 2.2 |
Population Comparison: Swans island vs Hoover
- The population in Hoover is higher at 92,435, compared to 417 in Swans island.
- Residents in Swans island have a higher median age of 58.3 years compared to 38.3 years in Hoover.
- Hoover has a higher median income of $101,765, compared to $78,000 in Swans island.
- A higher percentage of married families is found in Swans island at 56.0% compared to 46.0% in Hoover.
- The poverty level is higher in Hoover at 7%, compared to 4% in Swans island.
- Hoover has a higher unemployment rate at 2.2% compared to 1.2% in Swans island.
Demographics
Demographics Swans island vs Hoover provide insight into the diversity of the communities to compare.
Demographic | Swans island | Hoover |
---|---|---|
Black | Data is updating | 20 |
White | 88 | 67 |
Asian | 8 | 5 |
Hispanic | Data is updating | 5 |
Two or More Races | 4 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Swans island vs Hoover
- In Hoover, the percentage of Black residents is higher at 20% compared to 0% in Swans island.
- Swans island has a higher percentage of White residents at 88% compared to 67% in Hoover.
- The Asian population is larger in Swans island at 8% compared to 5% in Hoover.
- Hoover has a higher percentage of Hispanic residents at 5%, compared to 0% in Swans island.
- More residents identify as two or more races in Swans island at 4% compared to 3% in Hoover.
- The percentage of American Indian residents is the same in both Swans island and Hoover at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Swans island | 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 | 12.0% | 9.0% |
Health Statistics Comparison: Swans island vs Hoover
- In Hoover, a higher percentage report poor mental health at 14.9% compared to 0.0% in Swans island.
- Higher depression rates are seen in Hoover at 21.3% versus 0.0% in Swans island.
- Hoover has a higher smoking rate at 11.0% compared to 0.0% in Swans island.
- More residents engage in binge drinking in Hoover at 16.7% compared to 0.0% in Swans island.
- Hoover has higher obesity rates at 32.1% compared to 0.0% in Swans island.
- Disability percentages are higher in Swans island 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 | Swans island | Hoover |
---|---|---|
No Schooling | 1.9% (8) | 0.6% (583) |
High School Diploma | 30.9% (129) | 7.3% (6,787) |
Less than High School | 20.1% (84) | 3.8% (3,478) |
Bachelor's Degree and Higher | 28.5% (119) | 41.1% (38,000) |
Education Levels Comparison: Swans island vs Hoover
- A higher percentage of residents in Swans island have no formal schooling at 1.9% compared to 0.6% in Hoover.
- A higher percentage of residents in Swans island hold a high school diploma at 30.9% compared to 7.3% in Hoover.
- More residents in Swans island have less than a high school education at 20.1% 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 28.5% in Swans island.
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.