Demographics details for Blue springs, MO vs Moran, WY
Population Overview
Compare main population characteristics in Blue springs, MO vs Moran, WY.
Data | Blue springs | Moran |
---|---|---|
Population | 59,518 | 47 |
Median Age | 36.6 years | 47.0 years |
Median Income | $82,965 | $75,000 |
Married Families | 42.0% | 24.0% |
Poverty Level | 9% | Data is updating |
Unemployment Rate | 3.7 | 2.5 |
Population Comparison: Blue springs vs Moran
- In Blue springs, the population is higher at 59,518, compared to 47 in Moran.
- The median age in Moran is higher at 47.0 years, compared to 36.6 years in Blue springs.
- Blue springs has a higher median income of $82,965 compared to $75,000 in Moran.
- A higher percentage of married families is found in Blue springs at 42.0% compared to 24.0% in Moran.
- Blue springs has a higher poverty level at 9% compared to 0% in Moran.
- The unemployment rate in Blue springs is higher at 3.7%, compared to 2.5% in Moran.
Demographics
Demographics Blue springs vs Moran provide insight into the diversity of the communities to compare.
Demographic | Blue springs | Moran |
---|---|---|
Black | 7 | Data is updating |
White | 79 | 98.3 |
Asian | 1 | 1.7 |
Hispanic | 7 | Data is updating |
Two or More Races | 6 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Blue springs vs Moran
- A higher percentage of Black residents are in Blue springs at 7% compared to 0% in Moran.
- The percentage of White residents is higher in Moran at 98.3% compared to 79% in Blue springs.
- In Moran, the Asian population stands at 1.7%, greater than 1% in Blue springs.
- The Hispanic community is larger in Blue springs at 7% compared to 0% in Moran.
- More residents identify as two or more races in Blue springs at 6% compared to 0% in Moran.
- The percentage of American Indian residents is the same in both Blue springs and Moran at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Blue springs | Moran |
---|---|---|
Mental Health Not Good | 17.3% | Data is updating% |
Physical Health Not Good | 10.4% | Data is updating% |
Depression | 22.8% | Data is updating% |
Smoking | 15.6% | Data is updating% |
Binge Drinking | 21.5% | Data is updating% |
Obesity | 34.7% | Data is updating% |
Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Blue springs vs Moran
- More residents in Blue springs report poor mental health at 17.3% compared to 0.0% in Moran.
- Depression is more prevalent in Blue springs at 22.8% compared to 0.0% in Moran.
- Smoking is more prevalent in Blue springs at 15.6% compared to 0.0% in Moran.
- Binge drinking is more common in Blue springs at 21.5% compared to 0.0% in Moran.
- Obesity rates are higher in Blue springs at 34.7% compared to 0.0% in Moran.
- Disability percentages are higher in Blue springs at 10.0% compared to 0.0% in Moran.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Blue springs | Moran |
---|---|---|
No Schooling | 0.3% (178) | 0.0% (Data is updating) |
High School Diploma | 16.5% (9,835) | 0.0% (Data is updating) |
Less than High School | 4.9% (2,932) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 21.8% (12,992) | 0.0% (Data is updating) |
Education Levels Comparison: Blue springs vs Moran
- A higher percentage of residents in Blue springs have no formal schooling at 0.3% compared to 0.0% in Moran.
- A higher percentage of residents in Blue springs hold a high school diploma at 16.5% compared to 0.0% in Moran.
- More residents in Blue springs have less than a high school education at 4.9% compared to 0.0% in Moran.
- A higher percentage of residents in Blue springs hold a bachelor's degree or higher at 21.8% compared to 0.0% in Moran.
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.