Demographics details for Pascagoula, MS vs Blue springs, MO
Population Overview
Compare main population characteristics in Pascagoula, MS vs Blue springs, MO.
| Data | Pascagoula | Blue springs |
|---|---|---|
| Population | 21,650 | 59,518 |
| Median Age | 34.8 years | 36.6 years |
| Median Income | $41,679 | $82,965 |
| Married Families | 28.0% | 42.0% |
| Poverty Level | 16% | 9% |
| Unemployment Rate | 3.8 | 3.7 |
Population Comparison: Pascagoula vs Blue springs
- The population in Blue springs is higher at 59,518, compared to 21,650 in Pascagoula.
- The median age in Blue springs is higher at 36.6 years, compared to 34.8 years in Pascagoula.
- Blue springs has a higher median income of $82,965, compared to $41,679 in Pascagoula.
- In Blue springs, the percentage of married families is higher at 42.0%, compared to 28.0% in Pascagoula.
- Pascagoula has a higher poverty level at 16% compared to 9% in Blue springs.
- The unemployment rate in Pascagoula is higher at 3.8%, compared to 3.7% in Blue springs.
Demographics
Demographics Pascagoula vs Blue springs provide insight into the diversity of the communities to compare.
| Demographic | Pascagoula | Blue springs |
|---|---|---|
| Black | 37 | 7 |
| White | 45 | 79 |
| Asian | 1 | 1 |
| Hispanic | 13 | 7 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pascagoula vs Blue springs
- A higher percentage of Black residents are in Pascagoula at 37% compared to 7% in Blue springs.
- The percentage of White residents is higher in Blue springs at 79% compared to 45% in Pascagoula.
- Both Pascagoula and Blue springs have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Pascagoula at 13% compared to 7% in Blue springs.
- The percentage of residents identifying as two or more races is higher in Blue springs at 6%, compared to 4% in Pascagoula.
- The percentage of American Indian residents is the same in both Pascagoula and Blue springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pascagoula | Blue springs |
|---|---|---|
| Mental Health Not Good | 17.5% | 17.3% |
| Physical Health Not Good | 13.2% | 10.4% |
| Depression | 22.5% | 22.8% |
| Smoking | 20.8% | 15.6% |
| Binge Drinking | 14.2% | 21.5% |
| Obesity | 38.9% | 34.7% |
| Disability Percentage | 16.0% | 10.0% |
Health Statistics Comparison: Pascagoula vs Blue springs
- More residents in Pascagoula report poor mental health at 17.5% compared to 17.3% in Blue springs.
- Higher depression rates are seen in Blue springs at 22.8% versus 22.5% in Pascagoula.
- Smoking is more prevalent in Pascagoula at 20.8% compared to 15.6% in Blue springs.
- More residents engage in binge drinking in Blue springs at 21.5% compared to 14.2% in Pascagoula.
- Obesity rates are higher in Pascagoula at 38.9% compared to 34.7% in Blue springs.
- Disability percentages are higher in Pascagoula at 16.0% 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 | Pascagoula | Blue springs |
|---|---|---|
| No Schooling | 1.1% (237) | 0.3% (178) |
| High School Diploma | 15.1% (3,262) | 16.5% (9,835) |
| Less than High School | 12.2% (2,644) | 4.9% (2,932) |
| Bachelor's Degree and Higher | 11.6% (2,521) | 21.8% (12,992) |
Education Levels Comparison: Pascagoula vs Blue springs
- A higher percentage of residents in Pascagoula have no formal schooling at 1.1% compared to 0.3% in Blue springs.
- In Blue springs, the rate of residents with high school diplomas is higher at 16.5% compared to 15.1% in Pascagoula.
- More residents in Pascagoula have less than a high school education at 12.2% compared to 4.9% in Blue springs.
- In Blue springs, a larger share of residents have a bachelor's degree or higher at 21.8% compared to 11.6% in Pascagoula.
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.