Demographics details for Muscadine, AL vs Berlin, NJ
Population Overview
Compare main population characteristics in Muscadine, AL vs Berlin, NJ.
| Data | Muscadine | Berlin |
|---|---|---|
| Population | 104 | 7,506 |
| Median Age | 38.0 years | 40.4 years |
| Median Income | $50,000 | $98,706 |
| Married Families | 20.0% | 37.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Muscadine vs Berlin
- The population in Berlin is higher at 7,506, compared to 104 in Muscadine.
- The median age in Berlin is higher at 40.4 years, compared to 38.0 years in Muscadine.
- Berlin has a higher median income of $98,706, compared to $50,000 in Muscadine.
- In Berlin, the percentage of married families is higher at 37.0%, compared to 20.0% in Muscadine.
- Muscadine has a higher poverty level at 12% compared to 5% in Berlin.
- The unemployment rate in Muscadine is higher at 3.5%, compared to 3.2% in Berlin.
Demographics
Demographics Muscadine vs Berlin provide insight into the diversity of the communities to compare.
| Demographic | Muscadine | Berlin |
|---|---|---|
| Black | 15 | 12 |
| White | 80 | 76 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 5 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Muscadine vs Berlin
- A higher percentage of Black residents are in Muscadine at 15% compared to 12% in Berlin.
- Muscadine has a higher percentage of White residents at 80% compared to 76% in Berlin.
- In Berlin, the Asian population stands at 1%, greater than 0% in Muscadine.
- The percentage of Hispanic residents is the same in both Muscadine and Berlin at 5%.
- The percentage of residents identifying as two or more races is higher in Berlin at 6%, compared to 0% in Muscadine.
- The percentage of American Indian residents is the same in both Muscadine and Berlin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Muscadine | Berlin |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.9% |
| Physical Health Not Good | Data is updating% | 9.9% |
| Depression | Data is updating% | 23.8% |
| Smoking | Data is updating% | 14.6% |
| Binge Drinking | Data is updating% | 19.5% |
| Obesity | Data is updating% | 28.0% |
| Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Muscadine vs Berlin
- In Berlin, a higher percentage report poor mental health at 15.9% compared to 0.0% in Muscadine.
- Higher depression rates are seen in Berlin at 23.8% versus 0.0% in Muscadine.
- Berlin has a higher smoking rate at 14.6% compared to 0.0% in Muscadine.
- More residents engage in binge drinking in Berlin at 19.5% compared to 0.0% in Muscadine.
- Berlin has higher obesity rates at 28.0% compared to 0.0% in Muscadine.
- There is a higher percentage of disabled individuals in Berlin at 13.0% compared to 0.0% in Muscadine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Muscadine | Berlin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (27) |
| High School Diploma | 0.0% (Data is updating) | 17.0% (1,279) |
| Less than High School | 0.0% (Data is updating) | 8.2% (612) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 22.7% (1,706) |
Education Levels Comparison: Muscadine vs Berlin
- In Berlin, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Muscadine.
- In Berlin, the rate of residents with high school diplomas is higher at 17.0% compared to 0.0% in Muscadine.
- The percentage of residents with less than a high school education is higher in Berlin at 8.2%, compared to 0.0% in Muscadine.
- In Berlin, a larger share of residents have a bachelor's degree or higher at 22.7% compared to 0.0% in Muscadine.
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.