Demographics details for Picayune, MS vs Marlboro, NJ
Population Overview
Compare main population characteristics in Picayune, MS vs Marlboro, NJ.
| Data | Picayune | Marlboro |
|---|---|---|
| Population | 11,826 | 41,480 |
| Median Age | 38.3 years | 43.5 years |
| Median Income | $35,649 | $170,357 |
| Married Families | 27.0% | 53.0% |
| Poverty Level | 21% | 5% |
| Unemployment Rate | 4.5 | 3.0 |
Population Comparison: Picayune vs Marlboro
- The population in Marlboro is higher at 41,480, compared to 11,826 in Picayune.
- The median age in Marlboro is higher at 43.5 years, compared to 38.3 years in Picayune.
- Marlboro has a higher median income of $170,357, compared to $35,649 in Picayune.
- In Marlboro, the percentage of married families is higher at 53.0%, compared to 27.0% in Picayune.
- Picayune has a higher poverty level at 21% compared to 5% in Marlboro.
- The unemployment rate in Picayune is higher at 4.5%, compared to 3.0% in Marlboro.
Demographics
Demographics Picayune vs Marlboro provide insight into the diversity of the communities to compare.
| Demographic | Picayune | Marlboro |
|---|---|---|
| Black | 38 | 2 |
| White | 55 | 67 |
| Asian | Data is updating | 22 |
| Hispanic | 2 | 5 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Picayune vs Marlboro
- A higher percentage of Black residents are in Picayune at 38% compared to 2% in Marlboro.
- The percentage of White residents is higher in Marlboro at 67% compared to 55% in Picayune.
- In Marlboro, the Asian population stands at 22%, greater than 0% in Picayune.
- Marlboro has a higher percentage of Hispanic residents at 5%, compared to 2% in Picayune.
- More residents identify as two or more races in Picayune at 5% compared to 4% in Marlboro.
- The percentage of American Indian residents is the same in both Picayune and Marlboro at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Picayune | Marlboro |
|---|---|---|
| Mental Health Not Good | 18.4% | Data is updating% |
| Physical Health Not Good | 14.3% | Data is updating% |
| Depression | 24.0% | Data is updating% |
| Smoking | 23.3% | Data is updating% |
| Binge Drinking | 13.3% | Data is updating% |
| Obesity | 44.0% | Data is updating% |
| Disability Percentage | 21.0% | 8.0% |
Health Statistics Comparison: Picayune vs Marlboro
- More residents in Picayune report poor mental health at 18.4% compared to 0.0% in Marlboro.
- Depression is more prevalent in Picayune at 24.0% compared to 0.0% in Marlboro.
- Smoking is more prevalent in Picayune at 23.3% compared to 0.0% in Marlboro.
- Binge drinking is more common in Picayune at 13.3% compared to 0.0% in Marlboro.
- Obesity rates are higher in Picayune at 44.0% compared to 0.0% in Marlboro.
- Disability percentages are higher in Picayune at 21.0% 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 | Picayune | Marlboro |
|---|---|---|
| No Schooling | 0.6% (73) | 0.8% (336) |
| High School Diploma | 17.8% (2,108) | 8.6% (3,576) |
| Less than High School | 11.8% (1,392) | 3.2% (1,348) |
| Bachelor's Degree and Higher | 10.1% (1,200) | 43.0% (17,837) |
Education Levels Comparison: Picayune vs Marlboro
- In Marlboro, a larger percentage of residents lack formal schooling at 0.8% compared to 0.6% in Picayune.
- A higher percentage of residents in Picayune hold a high school diploma at 17.8% compared to 8.6% in Marlboro.
- More residents in Picayune have less than a high school education at 11.8% compared to 3.2% in Marlboro.
- In Marlboro, a larger share of residents have a bachelor's degree or higher at 43.0% compared to 10.1% in Picayune.
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.