Demographics details for Blue springs, MO vs Yoder, WY
Population Overview
Compare main population characteristics in Blue springs, MO vs Yoder, WY.
Data | Blue springs | Yoder |
---|---|---|
Population | 59,518 | 131 |
Median Age | 36.6 years | 56.2 years |
Median Income | $82,965 | $27,417 |
Married Families | 42.0% | 51.0% |
Poverty Level | 9% | 11% |
Unemployment Rate | 3.7 | 3.5 |
Population Comparison: Blue springs vs Yoder
- In Blue springs, the population is higher at 59,518, compared to 131 in Yoder.
- The median age in Yoder is higher at 56.2 years, compared to 36.6 years in Blue springs.
- Blue springs has a higher median income of $82,965 compared to $27,417 in Yoder.
- In Yoder, the percentage of married families is higher at 51.0%, compared to 42.0% in Blue springs.
- The poverty level is higher in Yoder at 11%, compared to 9% in Blue springs.
- The unemployment rate in Blue springs is higher at 3.7%, compared to 3.5% in Yoder.
Demographics
Demographics Blue springs vs Yoder provide insight into the diversity of the communities to compare.
Demographic | Blue springs | Yoder |
---|---|---|
Black | 7 | Data is updating |
White | 79 | 92 |
Asian | 1 | Data is updating |
Hispanic | 7 | Data is updating |
Two or More Races | 6 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Blue springs vs Yoder
- A higher percentage of Black residents are in Blue springs at 7% compared to 0% in Yoder.
- The percentage of White residents is higher in Yoder at 92% compared to 79% in Blue springs.
- The Asian population is larger in Blue springs at 1% compared to 0% in Yoder.
- The Hispanic community is larger in Blue springs at 7% compared to 0% in Yoder.
- The percentage of residents identifying as two or more races is higher in Yoder at 8%, compared to 6% in Blue springs.
- The percentage of American Indian residents is the same in both Blue springs and Yoder at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Blue springs | Yoder |
---|---|---|
Mental Health Not Good | 17.3% | 16.2% |
Physical Health Not Good | 10.4% | 10.8% |
Depression | 22.8% | 20.6% |
Smoking | 15.6% | 17.9% |
Binge Drinking | 21.5% | 17.7% |
Obesity | 34.7% | 29.4% |
Disability Percentage | 10.0% | 37.0% |
Health Statistics Comparison: Blue springs vs Yoder
- More residents in Blue springs report poor mental health at 17.3% compared to 16.2% in Yoder.
- Depression is more prevalent in Blue springs at 22.8% compared to 20.6% in Yoder.
- Yoder has a higher smoking rate at 17.9% compared to 15.6% in Blue springs.
- Binge drinking is more common in Blue springs at 21.5% compared to 17.7% in Yoder.
- Obesity rates are higher in Blue springs at 34.7% compared to 29.4% in Yoder.
- There is a higher percentage of disabled individuals in Yoder at 37.0% 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 | Yoder |
---|---|---|
No Schooling | 0.3% (178) | 0.0% (Data is updating) |
High School Diploma | 16.5% (9,835) | 12.2% (16) |
Less than High School | 4.9% (2,932) | 15.3% (20) |
Bachelor's Degree and Higher | 21.8% (12,992) | 6.9% (9) |
Education Levels Comparison: Blue springs vs Yoder
- A higher percentage of residents in Blue springs have no formal schooling at 0.3% compared to 0.0% in Yoder.
- A higher percentage of residents in Blue springs hold a high school diploma at 16.5% compared to 12.2% in Yoder.
- The percentage of residents with less than a high school education is higher in Yoder at 15.3%, 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 6.9% in Yoder.
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.