Demographics details for Big sky, MT vs Hoover, AL
Population Overview
Compare main population characteristics in Big sky, MT vs Hoover, AL.
Data | Big sky | Hoover |
---|---|---|
Population | 2,825 | 92,435 |
Median Age | 37.2 years | 38.3 years |
Median Income | $94,176 | $101,765 |
Married Families | 43.0% | 46.0% |
Poverty Level | 5% | 7% |
Unemployment Rate | 3.5 | 2.2 |
Population Comparison: Big sky vs Hoover
- The population in Hoover is higher at 92,435, compared to 2,825 in Big sky.
- The median age in Hoover is higher at 38.3 years, compared to 37.2 years in Big sky.
- Hoover has a higher median income of $101,765, compared to $94,176 in Big sky.
- In Hoover, the percentage of married families is higher at 46.0%, compared to 43.0% in Big sky.
- The poverty level is higher in Hoover at 7%, compared to 5% in Big sky.
- The unemployment rate in Big sky is higher at 3.5%, compared to 2.2% in Hoover.
Demographics
Demographics Big sky vs Hoover provide insight into the diversity of the communities to compare.
Demographic | Big sky | Hoover |
---|---|---|
Black | Data is updating | 20 |
White | 85 | 67 |
Asian | Data is updating | 5 |
Hispanic | 12 | 5 |
Two or More Races | 2 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Big sky vs Hoover
- In Hoover, the percentage of Black residents is higher at 20% compared to 0% in Big sky.
- Big sky has a higher percentage of White residents at 85% compared to 67% in Hoover.
- In Hoover, the Asian population stands at 5%, greater than 0% in Big sky.
- The Hispanic community is larger in Big sky at 12% compared to 5% in Hoover.
- The percentage of residents identifying as two or more races is higher in Hoover at 3%, compared to 2% in Big sky.
- A greater percentage of American Indian residents live in Big sky at 1% compared to 0% in Hoover.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Big sky | Hoover |
---|---|---|
Mental Health Not Good | 12.8% | 14.9% |
Physical Health Not Good | 8.0% | 8.6% |
Depression | 20.6% | 21.3% |
Smoking | 10.7% | 11.0% |
Binge Drinking | 24.3% | 16.7% |
Obesity | 24.1% | 32.1% |
Disability Percentage | 5.0% | 9.0% |
Health Statistics Comparison: Big sky vs Hoover
- In Hoover, a higher percentage report poor mental health at 14.9% compared to 12.8% in Big sky.
- Higher depression rates are seen in Hoover at 21.3% versus 20.6% in Big sky.
- Hoover has a higher smoking rate at 11.0% compared to 10.7% in Big sky.
- Binge drinking is more common in Big sky at 24.3% compared to 16.7% in Hoover.
- Hoover has higher obesity rates at 32.1% compared to 24.1% in Big sky.
- There is a higher percentage of disabled individuals in Hoover at 9.0% compared to 5.0% in Big sky.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Big sky | Hoover |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.6% (583) |
High School Diploma | 10.1% (284) | 7.3% (6,787) |
Less than High School | 4.2% (118) | 3.8% (3,478) |
Bachelor's Degree and Higher | 44.6% (1,261) | 41.1% (38,000) |
Education Levels Comparison: Big sky vs Hoover
- In Hoover, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Big sky.
- A higher percentage of residents in Big sky hold a high school diploma at 10.1% compared to 7.3% in Hoover.
- More residents in Big sky have less than a high school education at 4.2% compared to 3.8% in Hoover.
- A higher percentage of residents in Big sky hold a bachelor's degree or higher at 44.6% compared to 41.1% in Hoover.
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.