Demographics details for Stockholm, WI vs Kasson, MN
Population Overview
Compare main population characteristics in Stockholm, WI vs Kasson, MN.
| Data | Stockholm | Kasson |
|---|---|---|
| Population | 82 | 6,996 |
| Median Age | 69.8 years | 34.5 years |
| Median Income | $62,500 | $91,581 |
| Married Families | 84.0% | 47.0% |
| Poverty Level | Data is updating | 7% |
| Unemployment Rate | 2.5 | 3.1 |
Population Comparison: Stockholm vs Kasson
- The population in Kasson is higher at 6,996, compared to 82 in Stockholm.
- Residents in Stockholm have a higher median age of 69.8 years compared to 34.5 years in Kasson.
- Kasson has a higher median income of $91,581, compared to $62,500 in Stockholm.
- A higher percentage of married families is found in Stockholm at 84.0% compared to 47.0% in Kasson.
- The poverty level is higher in Kasson at 7%, compared to 0% in Stockholm.
- Kasson has a higher unemployment rate at 3.1% compared to 2.5% in Stockholm.
Demographics
Demographics Stockholm vs Kasson provide insight into the diversity of the communities to compare.
| Demographic | Stockholm | Kasson |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 4 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Stockholm vs Kasson
- The percentage of Black residents is the same in both Stockholm and Kasson at 0%.
- Stockholm has a higher percentage of White residents at 100% compared to 94% in Kasson.
- Both Stockholm and Kasson have the same percentage of Asian residents at 0%.
- Kasson has a higher percentage of Hispanic residents at 4%, compared to 0% in Stockholm.
- The percentage of residents identifying as two or more races is higher in Kasson at 2%, compared to 0% in Stockholm.
- The percentage of American Indian residents is the same in both Stockholm and Kasson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Stockholm | Kasson |
|---|---|---|
| Mental Health Not Good | 11.8% | 14.1% |
| Physical Health Not Good | 12.6% | 8.4% |
| Depression | 20.6% | 22.4% |
| Smoking | 16.4% | 15.8% |
| Binge Drinking | 19.3% | 20.6% |
| Obesity | 38.6% | 35.8% |
| Disability Percentage | 26.0% | 9.0% |
Health Statistics Comparison: Stockholm vs Kasson
- In Kasson, a higher percentage report poor mental health at 14.1% compared to 11.8% in Stockholm.
- Higher depression rates are seen in Kasson at 22.4% versus 20.6% in Stockholm.
- Smoking is more prevalent in Stockholm at 16.4% compared to 15.8% in Kasson.
- More residents engage in binge drinking in Kasson at 20.6% compared to 19.3% in Stockholm.
- Obesity rates are higher in Stockholm at 38.6% compared to 35.8% in Kasson.
- Disability percentages are higher in Stockholm at 26.0% compared to 9.0% in Kasson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Stockholm | Kasson |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (61) |
| High School Diploma | 28.0% (23) | 11.8% (829) |
| Less than High School | 2.4% (2) | 3.7% (256) |
| Bachelor's Degree and Higher | 64.6% (53) | 23.1% (1,615) |
Education Levels Comparison: Stockholm vs Kasson
- In Kasson, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Stockholm.
- A higher percentage of residents in Stockholm hold a high school diploma at 28.0% compared to 11.8% in Kasson.
- The percentage of residents with less than a high school education is higher in Kasson at 3.7%, compared to 2.4% in Stockholm.
- A higher percentage of residents in Stockholm hold a bachelor's degree or higher at 64.6% compared to 23.1% in Kasson.
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.