Demographics details for Red wing, MN vs Southfield, MI
Population Overview
Compare main population characteristics in Red wing, MN vs Southfield, MI.
| Data | Red wing | Southfield |
|---|---|---|
| Population | 16,672 | 75,431 |
| Median Age | 42.4 years | 42.1 years |
| Median Income | $65,107 | $63,980 |
| Married Families | 40.0% | 31.0% |
| Poverty Level | 8% | 13% |
| Unemployment Rate | 3.7 | 6.2 |
Population Comparison: Red wing vs Southfield
- The population in Southfield is higher at 75,431, compared to 16,672 in Red wing.
- Residents in Red wing have a higher median age of 42.4 years compared to 42.1 years in Southfield.
- Red wing has a higher median income of $65,107 compared to $63,980 in Southfield.
- A higher percentage of married families is found in Red wing at 40.0% compared to 31.0% in Southfield.
- The poverty level is higher in Southfield at 13%, compared to 8% in Red wing.
- Southfield has a higher unemployment rate at 6.2% compared to 3.7% in Red wing.
Demographics
Demographics Red wing vs Southfield provide insight into the diversity of the communities to compare.
| Demographic | Red wing | Southfield |
|---|---|---|
| Black | 3 | 66 |
| White | 86 | 23 |
| Asian | 1 | 2 |
| Hispanic | 5 | 2 |
| Two or More Races | 3 | 7 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Red wing vs Southfield
- In Southfield, the percentage of Black residents is higher at 66% compared to 3% in Red wing.
- Red wing has a higher percentage of White residents at 86% compared to 23% in Southfield.
- In Southfield, the Asian population stands at 2%, greater than 1% in Red wing.
- The Hispanic community is larger in Red wing at 5% compared to 2% in Southfield.
- The percentage of residents identifying as two or more races is higher in Southfield at 7%, compared to 3% in Red wing.
- A greater percentage of American Indian residents live in Red wing at 2% compared to 0% in Southfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Red wing | Southfield |
|---|---|---|
| Mental Health Not Good | 14.9% | 15.4% |
| Physical Health Not Good | 9.6% | 9.9% |
| Depression | 23.4% | 17.6% |
| Smoking | 17.8% | 14.8% |
| Binge Drinking | 19.1% | 14.9% |
| Obesity | 38.6% | 38.1% |
| Disability Percentage | 11.0% | 17.0% |
Health Statistics Comparison: Red wing vs Southfield
- In Southfield, a higher percentage report poor mental health at 15.4% compared to 14.9% in Red wing.
- Depression is more prevalent in Red wing at 23.4% compared to 17.6% in Southfield.
- Smoking is more prevalent in Red wing at 17.8% compared to 14.8% in Southfield.
- Binge drinking is more common in Red wing at 19.1% compared to 14.9% in Southfield.
- Obesity rates are higher in Red wing at 38.6% compared to 38.1% in Southfield.
- There is a higher percentage of disabled individuals in Southfield at 17.0% compared to 11.0% in Red wing.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Red wing | Southfield |
|---|---|---|
| No Schooling | 0.6% (98) | 1.2% (870) |
| High School Diploma | 20.6% (3,441) | 12.0% (9,038) |
| Less than High School | 9.7% (1,617) | 6.1% (4,623) |
| Bachelor's Degree and Higher | 19.4% (3,232) | 27.5% (20,760) |
Education Levels Comparison: Red wing vs Southfield
- In Southfield, a larger percentage of residents lack formal schooling at 1.2% compared to 0.6% in Red wing.
- A higher percentage of residents in Red wing hold a high school diploma at 20.6% compared to 12.0% in Southfield.
- More residents in Red wing have less than a high school education at 9.7% compared to 6.1% in Southfield.
- In Southfield, a larger share of residents have a bachelor's degree or higher at 27.5% compared to 19.4% in Red wing.
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.