Demographics details for Charleston, SC vs Marlboro, NJ
Population Overview
Compare main population characteristics in Charleston, SC vs Marlboro, NJ.
Data | Charleston | Marlboro |
---|---|---|
Population | 153,672 | 41,480 |
Median Age | 36.3 years | 43.5 years |
Median Income | $83,891 | $170,357 |
Married Families | 37.0% | 53.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 3.8 | 3.0 |
Population Comparison: Charleston vs Marlboro
- In Charleston, the population is higher at 153,672, compared to 41,480 in Marlboro.
- The median age in Marlboro is higher at 43.5 years, compared to 36.3 years in Charleston.
- Marlboro has a higher median income of $170,357, compared to $83,891 in Charleston.
- In Marlboro, the percentage of married families is higher at 53.0%, compared to 37.0% in Charleston.
- Charleston has a higher poverty level at 12% compared to 5% in Marlboro.
- The unemployment rate in Charleston is higher at 3.8%, compared to 3.0% in Marlboro.
Demographics
Demographics Charleston vs Marlboro provide insight into the diversity of the communities to compare.
Demographic | Charleston | Marlboro |
---|---|---|
Black | 18 | 2 |
White | 71 | 67 |
Asian | 2 | 22 |
Hispanic | 5 | 5 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Charleston vs Marlboro
- A higher percentage of Black residents are in Charleston at 18% compared to 2% in Marlboro.
- Charleston has a higher percentage of White residents at 71% compared to 67% in Marlboro.
- In Marlboro, the Asian population stands at 22%, greater than 2% in Charleston.
- The percentage of Hispanic residents is the same in both Charleston and Marlboro at 5%.
- Both Charleston and Marlboro 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 Charleston and Marlboro at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Charleston | Marlboro |
---|---|---|
Mental Health Not Good | 15.6% | Data is updating% |
Physical Health Not Good | 9.4% | Data is updating% |
Depression | 19.6% | Data is updating% |
Smoking | 13.0% | Data is updating% |
Binge Drinking | 23.0% | Data is updating% |
Obesity | 31.8% | Data is updating% |
Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: Charleston vs Marlboro
- More residents in Charleston report poor mental health at 15.6% compared to 0.0% in Marlboro.
- Depression is more prevalent in Charleston at 19.6% compared to 0.0% in Marlboro.
- Smoking is more prevalent in Charleston at 13.0% compared to 0.0% in Marlboro.
- Binge drinking is more common in Charleston at 23.0% compared to 0.0% in Marlboro.
- Obesity rates are higher in Charleston at 31.8% compared to 0.0% in Marlboro.
- Disability percentages are higher in Charleston at 9.0% 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 | Charleston | Marlboro |
---|---|---|
No Schooling | 0.4% (646) | 0.8% (336) |
High School Diploma | 9.1% (13,959) | 8.6% (3,576) |
Less than High School | 4.3% (6,655) | 3.2% (1,348) |
Bachelor's Degree and Higher | 39.9% (61,263) | 43.0% (17,837) |
Education Levels Comparison: Charleston vs Marlboro
- In Marlboro, a larger percentage of residents lack formal schooling at 0.8% compared to 0.4% in Charleston.
- A higher percentage of residents in Charleston hold a high school diploma at 9.1% compared to 8.6% in Marlboro.
- More residents in Charleston have less than a high school education at 4.3% 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 39.9% in Charleston.
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.