Demographics details for Marlboro, NJ vs Winder, GA
Population Overview
Compare main population characteristics in Marlboro, NJ vs Winder, GA.
| Data | Marlboro | Winder |
|---|---|---|
| Population | 41,480 | 19,400 |
| Median Age | 43.5 years | 36.4 years |
| Median Income | $170,357 | $57,365 |
| Married Families | 53.0% | 34.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Marlboro vs Winder
- In Marlboro, the population is higher at 41,480, compared to 19,400 in Winder.
- Residents in Marlboro have a higher median age of 43.5 years compared to 36.4 years in Winder.
- Marlboro has a higher median income of $170,357 compared to $57,365 in Winder.
- A higher percentage of married families is found in Marlboro at 53.0% compared to 34.0% in Winder.
- The poverty level is higher in Winder at 13%, compared to 5% in Marlboro.
- Winder has a higher unemployment rate at 3.5% compared to 3.0% in Marlboro.
Demographics
Demographics Marlboro vs Winder provide insight into the diversity of the communities to compare.
| Demographic | Marlboro | Winder |
|---|---|---|
| Black | 2 | 20 |
| White | 67 | 53 |
| Asian | 22 | 2 |
| Hispanic | 5 | 15 |
| Two or More Races | 4 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marlboro vs Winder
- In Winder, the percentage of Black residents is higher at 20% compared to 2% in Marlboro.
- Marlboro has a higher percentage of White residents at 67% compared to 53% in Winder.
- The Asian population is larger in Marlboro at 22% compared to 2% in Winder.
- Winder has a higher percentage of Hispanic residents at 15%, compared to 5% in Marlboro.
- The percentage of residents identifying as two or more races is higher in Winder at 10%, compared to 4% in Marlboro.
- The percentage of American Indian residents is the same in both Marlboro and Winder at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marlboro | Winder |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.9% |
| Physical Health Not Good | Data is updating% | 12.9% |
| Depression | Data is updating% | 22.6% |
| Smoking | Data is updating% | 19.8% |
| Binge Drinking | Data is updating% | 15.5% |
| Obesity | Data is updating% | 40.9% |
| Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Marlboro vs Winder
- In Winder, a higher percentage report poor mental health at 17.9% compared to 0.0% in Marlboro.
- Higher depression rates are seen in Winder at 22.6% versus 0.0% in Marlboro.
- Winder has a higher smoking rate at 19.8% compared to 0.0% in Marlboro.
- More residents engage in binge drinking in Winder at 15.5% compared to 0.0% in Marlboro.
- Winder has higher obesity rates at 40.9% compared to 0.0% in Marlboro.
- There is a higher percentage of disabled individuals in Winder at 14.0% 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 | Winder |
|---|---|---|
| No Schooling | 0.8% (336) | 1.2% (240) |
| High School Diploma | 8.6% (3,576) | 15.8% (3,070) |
| Less than High School | 3.2% (1,348) | 14.0% (2,718) |
| Bachelor's Degree and Higher | 43.0% (17,837) | 13.0% (2,516) |
Education Levels Comparison: Marlboro vs Winder
- In Winder, a larger percentage of residents lack formal schooling at 1.2% compared to 0.8% in Marlboro.
- In Winder, the rate of residents with high school diplomas is higher at 15.8% compared to 8.6% in Marlboro.
- The percentage of residents with less than a high school education is higher in Winder at 14.0%, 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 13.0% in Winder.
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.