Demographics details for Big sky, MT vs Sacred heart, MN
Population Overview
Compare main population characteristics in Big sky, MT vs Sacred heart, MN.
Data | Big sky | Sacred heart |
---|---|---|
Population | 2,825 | 498 |
Median Age | 37.2 years | 53.5 years |
Median Income | $94,176 | $59,107 |
Married Families | 43.0% | 41.0% |
Poverty Level | 5% | 6% |
Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Big sky vs Sacred heart
- In Big sky, the population is higher at 2,825, compared to 498 in Sacred heart.
- The median age in Sacred heart is higher at 53.5 years, compared to 37.2 years in Big sky.
- Big sky has a higher median income of $94,176 compared to $59,107 in Sacred heart.
- A higher percentage of married families is found in Big sky at 43.0% compared to 41.0% in Sacred heart.
- The poverty level is higher in Sacred heart at 6%, compared to 5% in Big sky.
- Sacred heart has a higher unemployment rate at 4.1% compared to 3.5% in Big sky.
Demographics
Demographics Big sky vs Sacred heart provide insight into the diversity of the communities to compare.
Demographic | Big sky | Sacred heart |
---|---|---|
Black | Data is updating | Data is updating |
White | 85 | 87 |
Asian | Data is updating | Data is updating |
Hispanic | 12 | 13 |
Two or More Races | 2 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Big sky vs Sacred heart
- The percentage of Black residents is the same in both Big sky and Sacred heart at 0%.
- The percentage of White residents is higher in Sacred heart at 87% compared to 85% in Big sky.
- Both Big sky and Sacred heart have the same percentage of Asian residents at 0%.
- Sacred heart has a higher percentage of Hispanic residents at 13%, compared to 12% in Big sky.
- More residents identify as two or more races in Big sky at 2% compared to 0% in Sacred heart.
- A greater percentage of American Indian residents live in Big sky at 1% compared to 0% in Sacred heart.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Big sky | Sacred heart |
---|---|---|
Mental Health Not Good | 12.8% | 15.0% |
Physical Health Not Good | 8.0% | 9.6% |
Depression | 20.6% | 23.3% |
Smoking | 10.7% | 17.7% |
Binge Drinking | 24.3% | 19.9% |
Obesity | 24.1% | 37.6% |
Disability Percentage | 5.0% | 25.0% |
Health Statistics Comparison: Big sky vs Sacred heart
- In Sacred heart, a higher percentage report poor mental health at 15.0% compared to 12.8% in Big sky.
- Higher depression rates are seen in Sacred heart at 23.3% versus 20.6% in Big sky.
- Sacred heart has a higher smoking rate at 17.7% compared to 10.7% in Big sky.
- Binge drinking is more common in Big sky at 24.3% compared to 19.9% in Sacred heart.
- Sacred heart has higher obesity rates at 37.6% compared to 24.1% in Big sky.
- There is a higher percentage of disabled individuals in Sacred heart at 25.0% 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 | Sacred heart |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 10.1% (284) | 28.1% (140) |
Less than High School | 4.2% (118) | 28.5% (142) |
Bachelor's Degree and Higher | 44.6% (1,261) | 13.3% (66) |
Education Levels Comparison: Big sky vs Sacred heart
- The percentage of residents with no formal schooling is the same in both Big sky and Sacred heart at 0.0%.
- In Sacred heart, the rate of residents with high school diplomas is higher at 28.1% compared to 10.1% in Big sky.
- The percentage of residents with less than a high school education is higher in Sacred heart at 28.5%, 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 13.3% in Sacred heart.
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.