Demographics details for Red wing, MN vs Columbus, IN
Population Overview
Compare main population characteristics in Red wing, MN vs Columbus, IN.
| Data | Red wing | Columbus |
|---|---|---|
| Population | 16,672 | 51,268 |
| Median Age | 42.4 years | 35.8 years |
| Median Income | $65,107 | $75,114 |
| Married Families | 40.0% | 41.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 3.7 | 4.0 |
Population Comparison: Red wing vs Columbus
- The population in Columbus is higher at 51,268, compared to 16,672 in Red wing.
- Residents in Red wing have a higher median age of 42.4 years compared to 35.8 years in Columbus.
- Columbus has a higher median income of $75,114, compared to $65,107 in Red wing.
- In Columbus, the percentage of married families is higher at 41.0%, compared to 40.0% in Red wing.
- The poverty level is higher in Columbus at 9%, compared to 8% in Red wing.
- Columbus has a higher unemployment rate at 4.0% compared to 3.7% in Red wing.
Demographics
Demographics Red wing vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Red wing | Columbus |
|---|---|---|
| Black | 3 | 2 |
| White | 86 | 71 |
| Asian | 1 | 13 |
| Hispanic | 5 | 9 |
| Two or More Races | 3 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Red wing vs Columbus
- A higher percentage of Black residents are in Red wing at 3% compared to 2% in Columbus.
- Red wing has a higher percentage of White residents at 86% compared to 71% in Columbus.
- In Columbus, the Asian population stands at 13%, greater than 1% in Red wing.
- Columbus has a higher percentage of Hispanic residents at 9%, compared to 5% in Red wing.
- The percentage of residents identifying as two or more races is higher in Columbus at 5%, compared to 3% in Red wing.
- A greater percentage of American Indian residents live in Red wing at 2% compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Red wing | Columbus |
|---|---|---|
| Mental Health Not Good | 14.9% | 15.6% |
| Physical Health Not Good | 9.6% | 10.3% |
| Depression | 23.4% | 24.1% |
| Smoking | 17.8% | 16.3% |
| Binge Drinking | 19.1% | 16.3% |
| Obesity | 38.6% | 36.7% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Red wing vs Columbus
- In Columbus, a higher percentage report poor mental health at 15.6% compared to 14.9% in Red wing.
- Higher depression rates are seen in Columbus at 24.1% versus 23.4% in Red wing.
- Smoking is more prevalent in Red wing at 17.8% compared to 16.3% in Columbus.
- Binge drinking is more common in Red wing at 19.1% compared to 16.3% in Columbus.
- Obesity rates are higher in Red wing at 38.6% compared to 36.7% in Columbus.
- There is a higher percentage of disabled individuals in Columbus at 13.0% 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 | Columbus |
|---|---|---|
| No Schooling | 0.6% (98) | 0.8% (398) |
| High School Diploma | 20.6% (3,441) | 14.3% (7,340) |
| Less than High School | 9.7% (1,617) | 9.1% (4,677) |
| Bachelor's Degree and Higher | 19.4% (3,232) | 28.1% (14,382) |
Education Levels Comparison: Red wing vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 0.8% 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 14.3% in Columbus.
- More residents in Red wing have less than a high school education at 9.7% compared to 9.1% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 28.1% 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.