Demographics details for Marlboro, NJ vs Pascagoula, MS
Population Overview
Compare main population characteristics in Marlboro, NJ vs Pascagoula, MS.
Data | Marlboro | Pascagoula |
---|---|---|
Population | 41,480 | 21,650 |
Median Age | 43.5 years | 34.8 years |
Median Income | $170,357 | $41,679 |
Married Families | 53.0% | 28.0% |
Poverty Level | 5% | 16% |
Unemployment Rate | 3.0 | 3.8 |
Population Comparison: Marlboro vs Pascagoula
- In Marlboro, the population is higher at 41,480, compared to 21,650 in Pascagoula.
- Residents in Marlboro have a higher median age of 43.5 years compared to 34.8 years in Pascagoula.
- Marlboro has a higher median income of $170,357 compared to $41,679 in Pascagoula.
- A higher percentage of married families is found in Marlboro at 53.0% compared to 28.0% in Pascagoula.
- The poverty level is higher in Pascagoula at 16%, compared to 5% in Marlboro.
- Pascagoula has a higher unemployment rate at 3.8% compared to 3.0% in Marlboro.
Demographics
Demographics Marlboro vs Pascagoula provide insight into the diversity of the communities to compare.
Demographic | Marlboro | Pascagoula |
---|---|---|
Black | 2 | 37 |
White | 67 | 45 |
Asian | 22 | 1 |
Hispanic | 5 | 13 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Marlboro vs Pascagoula
- In Pascagoula, the percentage of Black residents is higher at 37% compared to 2% in Marlboro.
- Marlboro has a higher percentage of White residents at 67% compared to 45% in Pascagoula.
- The Asian population is larger in Marlboro at 22% compared to 1% in Pascagoula.
- Pascagoula has a higher percentage of Hispanic residents at 13%, compared to 5% in Marlboro.
- Both Marlboro and Pascagoula have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Marlboro and Pascagoula at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marlboro | Pascagoula |
---|---|---|
Mental Health Not Good | Data is updating% | 17.5% |
Physical Health Not Good | Data is updating% | 13.2% |
Depression | Data is updating% | 22.5% |
Smoking | Data is updating% | 20.8% |
Binge Drinking | Data is updating% | 14.2% |
Obesity | Data is updating% | 38.9% |
Disability Percentage | 8.0% | 16.0% |
Health Statistics Comparison: Marlboro vs Pascagoula
- In Pascagoula, a higher percentage report poor mental health at 17.5% compared to 0.0% in Marlboro.
- Higher depression rates are seen in Pascagoula at 22.5% versus 0.0% in Marlboro.
- Pascagoula has a higher smoking rate at 20.8% compared to 0.0% in Marlboro.
- More residents engage in binge drinking in Pascagoula at 14.2% compared to 0.0% in Marlboro.
- Pascagoula has higher obesity rates at 38.9% compared to 0.0% in Marlboro.
- There is a higher percentage of disabled individuals in Pascagoula at 16.0% compared to 8.0% in Marlboro.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marlboro | Pascagoula |
---|---|---|
No Schooling | 0.8% (336) | 1.1% (237) |
High School Diploma | 8.6% (3,576) | 15.1% (3,262) |
Less than High School | 3.2% (1,348) | 12.2% (2,644) |
Bachelor's Degree and Higher | 43.0% (17,837) | 11.6% (2,521) |
Education Levels Comparison: Marlboro vs Pascagoula
- In Pascagoula, a larger percentage of residents lack formal schooling at 1.1% compared to 0.8% in Marlboro.
- In Pascagoula, the rate of residents with high school diplomas is higher at 15.1% compared to 8.6% in Marlboro.
- The percentage of residents with less than a high school education is higher in Pascagoula at 12.2%, compared to 3.2% in Marlboro.
- A higher percentage of residents in Marlboro hold a bachelor's degree or higher at 43.0% 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.