Demographics details for Pascagoula, MS vs Hancock, NH
Population Overview
Compare main population characteristics in Pascagoula, MS vs Hancock, NH.
Data | Pascagoula | Hancock |
---|---|---|
Population | 21,650 | 1,654 |
Median Age | 34.8 years | 50.0 years |
Median Income | $41,679 | $85,000 |
Married Families | 28.0% | 60.0% |
Poverty Level | 16% | 5% |
Unemployment Rate | 3.8 | 2.5 |
Population Comparison: Pascagoula vs Hancock
- In Pascagoula, the population is higher at 21,650, compared to 1,654 in Hancock.
- The median age in Hancock is higher at 50.0 years, compared to 34.8 years in Pascagoula.
- Hancock has a higher median income of $85,000, compared to $41,679 in Pascagoula.
- In Hancock, the percentage of married families is higher at 60.0%, compared to 28.0% in Pascagoula.
- Pascagoula has a higher poverty level at 16% compared to 5% in Hancock.
- The unemployment rate in Pascagoula is higher at 3.8%, compared to 2.5% in Hancock.
Demographics
Demographics Pascagoula vs Hancock provide insight into the diversity of the communities to compare.
Demographic | Pascagoula | Hancock |
---|---|---|
Black | 37 | Data is updating |
White | 45 | 95 |
Asian | 1 | 2 |
Hispanic | 13 | Data is updating |
Two or More Races | 4 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pascagoula vs Hancock
- A higher percentage of Black residents are in Pascagoula at 37% compared to 0% in Hancock.
- The percentage of White residents is higher in Hancock at 95% compared to 45% in Pascagoula.
- In Hancock, the Asian population stands at 2%, greater than 1% in Pascagoula.
- The Hispanic community is larger in Pascagoula at 13% compared to 0% in Hancock.
- More residents identify as two or more races in Pascagoula at 4% compared to 3% in Hancock.
- The percentage of American Indian residents is the same in both Pascagoula and Hancock at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pascagoula | Hancock |
---|---|---|
Mental Health Not Good | 17.5% | Data is updating% |
Physical Health Not Good | 13.2% | Data is updating% |
Depression | 22.5% | Data is updating% |
Smoking | 20.8% | Data is updating% |
Binge Drinking | 14.2% | Data is updating% |
Obesity | 38.9% | Data is updating% |
Disability Percentage | 16.0% | Data is updating% |
Health Statistics Comparison: Pascagoula vs Hancock
- More residents in Pascagoula report poor mental health at 17.5% compared to 0.0% in Hancock.
- Depression is more prevalent in Pascagoula at 22.5% compared to 0.0% in Hancock.
- Smoking is more prevalent in Pascagoula at 20.8% compared to 0.0% in Hancock.
- Binge drinking is more common in Pascagoula at 14.2% compared to 0.0% in Hancock.
- Obesity rates are higher in Pascagoula at 38.9% compared to 0.0% in Hancock.
- Disability percentages are higher in Pascagoula at 16.0% compared to 0.0% in Hancock.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pascagoula | Hancock |
---|---|---|
No Schooling | 1.1% (237) | 0.0% (Data is updating) |
High School Diploma | 15.1% (3,262) | 0.0% (Data is updating) |
Less than High School | 12.2% (2,644) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 11.6% (2,521) | 0.0% (Data is updating) |
Education Levels Comparison: Pascagoula vs Hancock
- A higher percentage of residents in Pascagoula have no formal schooling at 1.1% compared to 0.0% in Hancock.
- A higher percentage of residents in Pascagoula hold a high school diploma at 15.1% compared to 0.0% in Hancock.
- More residents in Pascagoula have less than a high school education at 12.2% compared to 0.0% in Hancock.
- A higher percentage of residents in Pascagoula hold a bachelor's degree or higher at 11.6% compared to 0.0% in Hancock.
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.