Demographics details for Big sky, MT vs Star city, AR
Population Overview
Compare main population characteristics in Big sky, MT vs Star city, AR.
Data | Big sky | Star city |
---|---|---|
Population | 2,825 | 2,124 |
Median Age | 37.2 years | 36.3 years |
Median Income | $94,176 | $58,929 |
Married Families | 43.0% | 39.0% |
Poverty Level | 5% | 19% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Big sky vs Star city
- In Big sky, the population is higher at 2,825, compared to 2,124 in Star city.
- Residents in Big sky have a higher median age of 37.2 years compared to 36.3 years in Star city.
- Big sky has a higher median income of $94,176 compared to $58,929 in Star city.
- A higher percentage of married families is found in Big sky at 43.0% compared to 39.0% in Star city.
- The poverty level is higher in Star city at 19%, compared to 5% in Big sky.
- The unemployment rate is the same in both Big sky and Star city at 3.5%.
Demographics
Demographics Big sky vs Star city provide insight into the diversity of the communities to compare.
Demographic | Big sky | Star city |
---|---|---|
Black | Data is updating | 19 |
White | 85 | 74 |
Asian | Data is updating | Data is updating |
Hispanic | 12 | 1 |
Two or More Races | 2 | 4 |
American Indian | 1 | 2 |
Demographics Comparison: Big sky vs Star city
- In Star city, the percentage of Black residents is higher at 19% compared to 0% in Big sky.
- Big sky has a higher percentage of White residents at 85% compared to 74% in Star city.
- Both Big sky and Star city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Big sky at 12% compared to 1% in Star city.
- The percentage of residents identifying as two or more races is higher in Star city at 4%, compared to 2% in Big sky.
- In Star city, the percentage of American Indian residents is higher at 2%, compared to 1% in Big sky.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Big sky | Star city |
---|---|---|
Mental Health Not Good | 12.8% | 18.8% |
Physical Health Not Good | 8.0% | 13.0% |
Depression | 20.6% | 25.7% |
Smoking | 10.7% | 20.6% |
Binge Drinking | 24.3% | 15.0% |
Obesity | 24.1% | 38.2% |
Disability Percentage | 5.0% | 17.0% |
Health Statistics Comparison: Big sky vs Star city
- In Star city, a higher percentage report poor mental health at 18.8% compared to 12.8% in Big sky.
- Higher depression rates are seen in Star city at 25.7% versus 20.6% in Big sky.
- Star city has a higher smoking rate at 20.6% compared to 10.7% in Big sky.
- Binge drinking is more common in Big sky at 24.3% compared to 15.0% in Star city.
- Star city has higher obesity rates at 38.2% compared to 24.1% in Big sky.
- There is a higher percentage of disabled individuals in Star city at 17.0% 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 | Star city |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.4% (29) |
High School Diploma | 10.1% (284) | 22.8% (484) |
Less than High School | 4.2% (118) | 10.5% (222) |
Bachelor's Degree and Higher | 44.6% (1,261) | 11.6% (246) |
Education Levels Comparison: Big sky vs Star city
- In Star city, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Big sky.
- In Star city, the rate of residents with high school diplomas is higher at 22.8% compared to 10.1% in Big sky.
- The percentage of residents with less than a high school education is higher in Star city at 10.5%, compared to 4.2% in Big sky.
- A higher percentage of residents in Big sky hold a bachelor's degree or higher at 44.6% compared to 11.6% in Star city.
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.