Demographics details for Grinnell, KS vs Pascagoula, MS
Population Overview
Compare main population characteristics in Grinnell, KS vs Pascagoula, MS.
Data | Grinnell | Pascagoula |
---|---|---|
Population | 254 | 21,650 |
Median Age | 37.9 years | 34.8 years |
Median Income | $56,042 | $41,679 |
Married Families | 58.0% | 28.0% |
Poverty Level | 12% | 16% |
Unemployment Rate | 3.2 | 3.8 |
Population Comparison: Grinnell vs Pascagoula
- The population in Pascagoula is higher at 21,650, compared to 254 in Grinnell.
- Residents in Grinnell have a higher median age of 37.9 years compared to 34.8 years in Pascagoula.
- Grinnell has a higher median income of $56,042 compared to $41,679 in Pascagoula.
- A higher percentage of married families is found in Grinnell at 58.0% compared to 28.0% in Pascagoula.
- The poverty level is higher in Pascagoula at 16%, compared to 12% in Grinnell.
- Pascagoula has a higher unemployment rate at 3.8% compared to 3.2% in Grinnell.
Demographics
Demographics Grinnell vs Pascagoula provide insight into the diversity of the communities to compare.
Demographic | Grinnell | Pascagoula |
---|---|---|
Black | Data is updating | 37 |
White | 100 | 45 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 13 |
Two or More Races | Data is updating | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Grinnell vs Pascagoula
- In Pascagoula, the percentage of Black residents is higher at 37% compared to 0% in Grinnell.
- Grinnell has a higher percentage of White residents at 100% compared to 45% in Pascagoula.
- In Pascagoula, the Asian population stands at 1%, greater than 0% in Grinnell.
- Pascagoula has a higher percentage of Hispanic residents at 13%, compared to 0% in Grinnell.
- The percentage of residents identifying as two or more races is higher in Pascagoula at 4%, compared to 0% in Grinnell.
- The percentage of American Indian residents is the same in both Grinnell and Pascagoula at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Grinnell | Pascagoula |
---|---|---|
Mental Health Not Good | 15.1% | 17.5% |
Physical Health Not Good | 9.6% | 13.2% |
Depression | 20.1% | 22.5% |
Smoking | 17.6% | 20.8% |
Binge Drinking | 20.4% | 14.2% |
Obesity | 38.3% | 38.9% |
Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Grinnell vs Pascagoula
- In Pascagoula, a higher percentage report poor mental health at 17.5% compared to 15.1% in Grinnell.
- Higher depression rates are seen in Pascagoula at 22.5% versus 20.1% in Grinnell.
- Pascagoula has a higher smoking rate at 20.8% compared to 17.6% in Grinnell.
- Binge drinking is more common in Grinnell at 20.4% compared to 14.2% in Pascagoula.
- Pascagoula has higher obesity rates at 38.9% compared to 38.3% in Grinnell.
- There is a higher percentage of disabled individuals in Pascagoula at 16.0% compared to 15.0% in Grinnell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Grinnell | Pascagoula |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (237) |
High School Diploma | 18.9% (48) | 15.1% (3,262) |
Less than High School | 16.5% (42) | 12.2% (2,644) |
Bachelor's Degree and Higher | 16.9% (43) | 11.6% (2,521) |
Education Levels Comparison: Grinnell vs Pascagoula
- In Pascagoula, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Grinnell.
- A higher percentage of residents in Grinnell hold a high school diploma at 18.9% compared to 15.1% in Pascagoula.
- More residents in Grinnell have less than a high school education at 16.5% compared to 12.2% in Pascagoula.
- A higher percentage of residents in Grinnell hold a bachelor's degree or higher at 16.9% 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.