Demographics details for Blue springs, MO vs Red wing, MN
Population Overview
Compare main population characteristics in Blue springs, MO vs Red wing, MN.
| Data | Blue springs | Red wing |
|---|---|---|
| Population | 59,518 | 16,672 |
| Median Age | 36.6 years | 42.4 years |
| Median Income | $82,965 | $65,107 |
| Married Families | 42.0% | 40.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 3.7 | 3.7 |
Population Comparison: Blue springs vs Red wing
- In Blue springs, the population is higher at 59,518, compared to 16,672 in Red wing.
- The median age in Red wing is higher at 42.4 years, compared to 36.6 years in Blue springs.
- Blue springs has a higher median income of $82,965 compared to $65,107 in Red wing.
- A higher percentage of married families is found in Blue springs at 42.0% compared to 40.0% in Red wing.
- Blue springs has a higher poverty level at 9% compared to 8% in Red wing.
- The unemployment rate is the same in both Blue springs and Red wing at 3.7%.
Demographics
Demographics Blue springs vs Red wing provide insight into the diversity of the communities to compare.
| Demographic | Blue springs | Red wing |
|---|---|---|
| Black | 7 | 3 |
| White | 79 | 86 |
| Asian | 1 | 1 |
| Hispanic | 7 | 5 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Blue springs vs Red wing
- A higher percentage of Black residents are in Blue springs at 7% compared to 3% in Red wing.
- The percentage of White residents is higher in Red wing at 86% compared to 79% in Blue springs.
- Both Blue springs and Red wing have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Blue springs at 7% compared to 5% in Red wing.
- More residents identify as two or more races in Blue springs at 6% compared to 3% in Red wing.
- In Red wing, the percentage of American Indian residents is higher at 2%, compared to 0% in Blue springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Blue springs | Red wing |
|---|---|---|
| Mental Health Not Good | 17.3% | 14.9% |
| Physical Health Not Good | 10.4% | 9.6% |
| Depression | 22.8% | 23.4% |
| Smoking | 15.6% | 17.8% |
| Binge Drinking | 21.5% | 19.1% |
| Obesity | 34.7% | 38.6% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Blue springs vs Red wing
- More residents in Blue springs report poor mental health at 17.3% compared to 14.9% in Red wing.
- Higher depression rates are seen in Red wing at 23.4% versus 22.8% in Blue springs.
- Red wing has a higher smoking rate at 17.8% compared to 15.6% in Blue springs.
- Binge drinking is more common in Blue springs at 21.5% compared to 19.1% in Red wing.
- Red wing has higher obesity rates at 38.6% compared to 34.7% in Blue springs.
- There is a higher percentage of disabled individuals in Red wing at 11.0% compared to 10.0% in Blue springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Blue springs | Red wing |
|---|---|---|
| No Schooling | 0.3% (178) | 0.6% (98) |
| High School Diploma | 16.5% (9,835) | 20.6% (3,441) |
| Less than High School | 4.9% (2,932) | 9.7% (1,617) |
| Bachelor's Degree and Higher | 21.8% (12,992) | 19.4% (3,232) |
Education Levels Comparison: Blue springs vs Red wing
- In Red wing, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Blue springs.
- In Red wing, the rate of residents with high school diplomas is higher at 20.6% compared to 16.5% in Blue springs.
- The percentage of residents with less than a high school education is higher in Red wing at 9.7%, compared to 4.9% in Blue springs.
- A higher percentage of residents in Blue springs hold a bachelor's degree or higher at 21.8% 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.