Demographics details for Blue springs, MO vs Riverton, WY
Population Overview
Compare main population characteristics in Blue springs, MO vs Riverton, WY.
Data | Blue springs | Riverton |
---|---|---|
Population | 59,518 | 10,776 |
Median Age | 36.6 years | 36.4 years |
Median Income | $82,965 | $50,861 |
Married Families | 42.0% | 32.0% |
Poverty Level | 9% | 8% |
Unemployment Rate | 3.7 | 2.5 |
Population Comparison: Blue springs vs Riverton
- In Blue springs, the population is higher at 59,518, compared to 10,776 in Riverton.
- Residents in Blue springs have a higher median age of 36.6 years compared to 36.4 years in Riverton.
- Blue springs has a higher median income of $82,965 compared to $50,861 in Riverton.
- A higher percentage of married families is found in Blue springs at 42.0% compared to 32.0% in Riverton.
- Blue springs has a higher poverty level at 9% compared to 8% in Riverton.
- The unemployment rate in Blue springs is higher at 3.7%, compared to 2.5% in Riverton.
Demographics
Demographics Blue springs vs Riverton provide insight into the diversity of the communities to compare.
Demographic | Blue springs | Riverton |
---|---|---|
Black | 7 | 1 |
White | 79 | 69 |
Asian | 1 | 1 |
Hispanic | 7 | 13 |
Two or More Races | 6 | 6 |
American Indian | Data is updating | 10 |
Demographics Comparison: Blue springs vs Riverton
- A higher percentage of Black residents are in Blue springs at 7% compared to 1% in Riverton.
- Blue springs has a higher percentage of White residents at 79% compared to 69% in Riverton.
- Both Blue springs and Riverton have the same percentage of Asian residents at 1%.
- Riverton has a higher percentage of Hispanic residents at 13%, compared to 7% in Blue springs.
- Both Blue springs and Riverton have the same percentage of residents identifying as two or more races at 6%.
- In Riverton, the percentage of American Indian residents is higher at 10%, compared to 0% in Blue springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Blue springs | Riverton |
---|---|---|
Mental Health Not Good | 17.3% | 16.4% |
Physical Health Not Good | 10.4% | 11.5% |
Depression | 22.8% | 20.9% |
Smoking | 15.6% | 19.1% |
Binge Drinking | 21.5% | 17.8% |
Obesity | 34.7% | 32.3% |
Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Blue springs vs Riverton
- More residents in Blue springs report poor mental health at 17.3% compared to 16.4% in Riverton.
- Depression is more prevalent in Blue springs at 22.8% compared to 20.9% in Riverton.
- Riverton has a higher smoking rate at 19.1% compared to 15.6% in Blue springs.
- Binge drinking is more common in Blue springs at 21.5% compared to 17.8% in Riverton.
- Obesity rates are higher in Blue springs at 34.7% compared to 32.3% in Riverton.
- There is a higher percentage of disabled individuals in Riverton at 13.0% 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 | Riverton |
---|---|---|
No Schooling | 0.3% (178) | 0.8% (87) |
High School Diploma | 16.5% (9,835) | 18.6% (2,000) |
Less than High School | 4.9% (2,932) | 6.5% (701) |
Bachelor's Degree and Higher | 21.8% (12,992) | 13.8% (1,483) |
Education Levels Comparison: Blue springs vs Riverton
- In Riverton, a larger percentage of residents lack formal schooling at 0.8% compared to 0.3% in Blue springs.
- In Riverton, the rate of residents with high school diplomas is higher at 18.6% compared to 16.5% in Blue springs.
- The percentage of residents with less than a high school education is higher in Riverton at 6.5%, 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 13.8% in Riverton.
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.