Demographics details for Big sky, MT vs Kingston, RI
Population Overview
Compare main population characteristics in Big sky, MT vs Kingston, RI.
Data | Big sky | Kingston |
---|---|---|
Population | 2,825 | 6,560 |
Median Age | 37.2 years | 19.6 years |
Median Income | $94,176 | $108,056 |
Married Families | 43.0% | 13.0% |
Poverty Level | 5% | 11% |
Unemployment Rate | 3.5 | 2.6 |
Population Comparison: Big sky vs Kingston
- The population in Kingston is higher at 6,560, compared to 2,825 in Big sky.
- Residents in Big sky have a higher median age of 37.2 years compared to 19.6 years in Kingston.
- Kingston has a higher median income of $108,056, compared to $94,176 in Big sky.
- A higher percentage of married families is found in Big sky at 43.0% compared to 13.0% in Kingston.
- The poverty level is higher in Kingston at 11%, compared to 5% in Big sky.
- The unemployment rate in Big sky is higher at 3.5%, compared to 2.6% in Kingston.
Demographics
Demographics Big sky vs Kingston provide insight into the diversity of the communities to compare.
Demographic | Big sky | Kingston |
---|---|---|
Black | Data is updating | 5 |
White | 85 | 80 |
Asian | Data is updating | 2 |
Hispanic | 12 | 6 |
Two or More Races | 2 | 6 |
American Indian | 1 | 1 |
Demographics Comparison: Big sky vs Kingston
- In Kingston, the percentage of Black residents is higher at 5% compared to 0% in Big sky.
- Big sky has a higher percentage of White residents at 85% compared to 80% in Kingston.
- In Kingston, the Asian population stands at 2%, greater than 0% in Big sky.
- The Hispanic community is larger in Big sky at 12% compared to 6% in Kingston.
- The percentage of residents identifying as two or more races is higher in Kingston at 6%, compared to 2% in Big sky.
- The percentage of American Indian residents is the same in both Big sky and Kingston at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Big sky | Kingston |
---|---|---|
Mental Health Not Good | 12.8% | 14.9% |
Physical Health Not Good | 8.0% | 8.7% |
Depression | 20.6% | 24.9% |
Smoking | 10.7% | 11.4% |
Binge Drinking | 24.3% | 19.1% |
Obesity | 24.1% | 25.9% |
Disability Percentage | 5.0% | 6.0% |
Health Statistics Comparison: Big sky vs Kingston
- In Kingston, a higher percentage report poor mental health at 14.9% compared to 12.8% in Big sky.
- Higher depression rates are seen in Kingston at 24.9% versus 20.6% in Big sky.
- Kingston has a higher smoking rate at 11.4% compared to 10.7% in Big sky.
- Binge drinking is more common in Big sky at 24.3% compared to 19.1% in Kingston.
- Kingston has higher obesity rates at 25.9% compared to 24.1% in Big sky.
- There is a higher percentage of disabled individuals in Kingston at 6.0% 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 | Kingston |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (3) |
High School Diploma | 10.1% (284) | 1.1% (71) |
Less than High School | 4.2% (118) | 0.1% (6) |
Bachelor's Degree and Higher | 44.6% (1,261) | 12.8% (839) |
Education Levels Comparison: Big sky vs Kingston
- The percentage of residents with no formal schooling is the same in both Big sky and Kingston at 0.0%.
- A higher percentage of residents in Big sky hold a high school diploma at 10.1% compared to 1.1% in Kingston.
- More residents in Big sky have less than a high school education at 4.2% compared to 0.1% in Kingston.
- A higher percentage of residents in Big sky hold a bachelor's degree or higher at 44.6% compared to 12.8% in Kingston.
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.