Demographics details for Champlin, MN vs Big sky, MT
Population Overview
Compare main population characteristics in Champlin, MN vs Big sky, MT.
Data | Champlin | Big sky |
---|---|---|
Population | 23,112 | 2,825 |
Median Age | 41.3 years | 37.2 years |
Median Income | $113,570 | $94,176 |
Married Families | 48.0% | 43.0% |
Poverty Level | 5% | 5% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Champlin vs Big sky
- In Champlin, the population is higher at 23,112, compared to 2,825 in Big sky.
- Residents in Champlin have a higher median age of 41.3 years compared to 37.2 years in Big sky.
- Champlin has a higher median income of $113,570 compared to $94,176 in Big sky.
- A higher percentage of married families is found in Champlin at 48.0% compared to 43.0% in Big sky.
- The poverty level is identical in both Champlin and Big sky at 5%.
- Big sky has a higher unemployment rate at 3.5% compared to 3.2% in Champlin.
Demographics
Demographics Champlin vs Big sky provide insight into the diversity of the communities to compare.
Demographic | Champlin | Big sky |
---|---|---|
Black | 10 | Data is updating |
White | 79 | 85 |
Asian | 5 | Data is updating |
Hispanic | 2 | 12 |
Two or More Races | 4 | 2 |
American Indian | Data is updating | 1 |
Demographics Comparison: Champlin vs Big sky
- A higher percentage of Black residents are in Champlin at 10% compared to 0% in Big sky.
- The percentage of White residents is higher in Big sky at 85% compared to 79% in Champlin.
- The Asian population is larger in Champlin at 5% compared to 0% in Big sky.
- Big sky has a higher percentage of Hispanic residents at 12%, compared to 2% in Champlin.
- More residents identify as two or more races in Champlin at 4% compared to 2% in Big sky.
- In Big sky, the percentage of American Indian residents is higher at 1%, compared to 0% in Champlin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Champlin | Big sky |
---|---|---|
Mental Health Not Good | 14.2% | 12.8% |
Physical Health Not Good | 7.6% | 8.0% |
Depression | 24.4% | 20.6% |
Smoking | 12.8% | 10.7% |
Binge Drinking | 21.9% | 24.3% |
Obesity | 27.2% | 24.1% |
Disability Percentage | 7.0% | 5.0% |
Health Statistics Comparison: Champlin vs Big sky
- More residents in Champlin report poor mental health at 14.2% compared to 12.8% in Big sky.
- Depression is more prevalent in Champlin at 24.4% compared to 20.6% in Big sky.
- Smoking is more prevalent in Champlin at 12.8% compared to 10.7% in Big sky.
- More residents engage in binge drinking in Big sky at 24.3% compared to 21.9% in Champlin.
- Obesity rates are higher in Champlin at 27.2% compared to 24.1% in Big sky.
- Disability percentages are higher in Champlin at 7.0% 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 | Champlin | Big sky |
---|---|---|
No Schooling | 0.5% (117) | 0.0% (Data is updating) |
High School Diploma | 15.0% (3,460) | 10.1% (284) |
Less than High School | 2.3% (528) | 4.2% (118) |
Bachelor's Degree and Higher | 26.2% (6,049) | 44.6% (1,261) |
Education Levels Comparison: Champlin vs Big sky
- A higher percentage of residents in Champlin have no formal schooling at 0.5% compared to 0.0% in Big sky.
- A higher percentage of residents in Champlin hold a high school diploma at 15.0% compared to 10.1% in Big sky.
- The percentage of residents with less than a high school education is higher in Big sky at 4.2%, compared to 2.3% in Champlin.
- In Big sky, a larger share of residents have a bachelor's degree or higher at 44.6% compared to 26.2% in Champlin.
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.