Demographics details for Spring park, MN vs Blue springs, MO
Population Overview
Compare main population characteristics in Spring park, MN vs Blue springs, MO.
Data | Spring park | Blue springs |
---|---|---|
Population | 1,663 | 59,518 |
Median Age | 55.5 years | 36.6 years |
Median Income | $48,684 | $82,965 |
Married Families | 30.0% | 42.0% |
Poverty Level | 5% | 9% |
Unemployment Rate | 3.2 | 3.7 |
Population Comparison: Spring park vs Blue springs
- The population in Blue springs is higher at 59,518, compared to 1,663 in Spring park.
- Residents in Spring park have a higher median age of 55.5 years compared to 36.6 years in Blue springs.
- Blue springs has a higher median income of $82,965, compared to $48,684 in Spring park.
- In Blue springs, the percentage of married families is higher at 42.0%, compared to 30.0% in Spring park.
- The poverty level is higher in Blue springs at 9%, compared to 5% in Spring park.
- Blue springs has a higher unemployment rate at 3.7% compared to 3.2% in Spring park.
Demographics
Demographics Spring park vs Blue springs provide insight into the diversity of the communities to compare.
Demographic | Spring park | Blue springs |
---|---|---|
Black | 9 | 7 |
White | 82 | 79 |
Asian | 2 | 1 |
Hispanic | 1 | 7 |
Two or More Races | 3 | 6 |
American Indian | 3 | Data is updating |
Demographics Comparison: Spring park vs Blue springs
- A higher percentage of Black residents are in Spring park at 9% compared to 7% in Blue springs.
- Spring park has a higher percentage of White residents at 82% compared to 79% in Blue springs.
- The Asian population is larger in Spring park at 2% compared to 1% in Blue springs.
- Blue springs has a higher percentage of Hispanic residents at 7%, compared to 1% in Spring park.
- The percentage of residents identifying as two or more races is higher in Blue springs at 6%, compared to 3% in Spring park.
- A greater percentage of American Indian residents live in Spring park at 3% compared to 0% in Blue springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Spring park | Blue springs |
---|---|---|
Mental Health Not Good | 13.4% | 17.3% |
Physical Health Not Good | 7.1% | 10.4% |
Depression | 23.7% | 22.8% |
Smoking | 11.7% | 15.6% |
Binge Drinking | 22.5% | 21.5% |
Obesity | 26.0% | 34.7% |
Disability Percentage | 22.0% | 10.0% |
Health Statistics Comparison: Spring park vs Blue springs
- In Blue springs, a higher percentage report poor mental health at 17.3% compared to 13.4% in Spring park.
- Depression is more prevalent in Spring park at 23.7% compared to 22.8% in Blue springs.
- Blue springs has a higher smoking rate at 15.6% compared to 11.7% in Spring park.
- Binge drinking is more common in Spring park at 22.5% compared to 21.5% in Blue springs.
- Blue springs has higher obesity rates at 34.7% compared to 26.0% in Spring park.
- Disability percentages are higher in Spring park at 22.0% 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 | Spring park | Blue springs |
---|---|---|
No Schooling | 0.5% (9) | 0.3% (178) |
High School Diploma | 27.8% (463) | 16.5% (9,835) |
Less than High School | 12.0% (200) | 4.9% (2,932) |
Bachelor's Degree and Higher | 29.1% (484) | 21.8% (12,992) |
Education Levels Comparison: Spring park vs Blue springs
- A higher percentage of residents in Spring park have no formal schooling at 0.5% compared to 0.3% in Blue springs.
- A higher percentage of residents in Spring park hold a high school diploma at 27.8% compared to 16.5% in Blue springs.
- More residents in Spring park have less than a high school education at 12.0% compared to 4.9% in Blue springs.
- A higher percentage of residents in Spring park hold a bachelor's degree or higher at 29.1% compared to 21.8% in Blue springs.
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.