Demographics details for Macclenny, FL vs Willingboro, NJ
Population Overview
Compare main population characteristics in Macclenny, FL vs Willingboro, NJ.
Data | Macclenny | Willingboro |
---|---|---|
Population | 7,670 | 31,846 |
Median Age | 37.5 years | 38.8 years |
Median Income | $62,134 | $88,516 |
Married Families | 32.0% | 34.0% |
Poverty Level | 11% | 8% |
Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Macclenny vs Willingboro
- The population in Willingboro is higher at 31,846, compared to 7,670 in Macclenny.
- The median age in Willingboro is higher at 38.8 years, compared to 37.5 years in Macclenny.
- Willingboro has a higher median income of $88,516, compared to $62,134 in Macclenny.
- In Willingboro, the percentage of married families is higher at 34.0%, compared to 32.0% in Macclenny.
- Macclenny has a higher poverty level at 11% compared to 8% in Willingboro.
- Willingboro has a higher unemployment rate at 5.1% compared to 3.5% in Macclenny.
Demographics
Demographics Macclenny vs Willingboro provide insight into the diversity of the communities to compare.
Demographic | Macclenny | Willingboro |
---|---|---|
Black | 19 | 66 |
White | 66 | 4 |
Asian | 1 | 1 |
Hispanic | 4 | 15 |
Two or More Races | 9 | 13 |
American Indian | 1 | 1 |
Demographics Comparison: Macclenny vs Willingboro
- In Willingboro, the percentage of Black residents is higher at 66% compared to 19% in Macclenny.
- Macclenny has a higher percentage of White residents at 66% compared to 4% in Willingboro.
- Both Macclenny and Willingboro have the same percentage of Asian residents at 1%.
- Willingboro has a higher percentage of Hispanic residents at 15%, compared to 4% in Macclenny.
- The percentage of residents identifying as two or more races is higher in Willingboro at 13%, compared to 9% in Macclenny.
- The percentage of American Indian residents is the same in both Macclenny and Willingboro at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Macclenny | Willingboro |
---|---|---|
Mental Health Not Good | 17.2% | Data is updating% |
Physical Health Not Good | 11.2% | Data is updating% |
Depression | 20.4% | Data is updating% |
Smoking | 22.6% | Data is updating% |
Binge Drinking | 17.1% | Data is updating% |
Obesity | 36.5% | Data is updating% |
Disability Percentage | 14.0% | 16.0% |
Health Statistics Comparison: Macclenny vs Willingboro
- More residents in Macclenny report poor mental health at 17.2% compared to 0.0% in Willingboro.
- Depression is more prevalent in Macclenny at 20.4% compared to 0.0% in Willingboro.
- Smoking is more prevalent in Macclenny at 22.6% compared to 0.0% in Willingboro.
- Binge drinking is more common in Macclenny at 17.1% compared to 0.0% in Willingboro.
- Obesity rates are higher in Macclenny at 36.5% compared to 0.0% in Willingboro.
- There is a higher percentage of disabled individuals in Willingboro at 16.0% compared to 14.0% in Macclenny.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Macclenny | Willingboro |
---|---|---|
No Schooling | 0.1% (4) | 0.5% (160) |
High School Diploma | 17.8% (1,365) | 20.7% (6,594) |
Less than High School | 13.5% (1,033) | 6.6% (2,094) |
Bachelor's Degree and Higher | 10.4% (799) | 18.4% (5,856) |
Education Levels Comparison: Macclenny vs Willingboro
- In Willingboro, a larger percentage of residents lack formal schooling at 0.5% compared to 0.1% in Macclenny.
- In Willingboro, the rate of residents with high school diplomas is higher at 20.7% compared to 17.8% in Macclenny.
- More residents in Macclenny have less than a high school education at 13.5% compared to 6.6% in Willingboro.
- In Willingboro, a larger share of residents have a bachelor's degree or higher at 18.4% compared to 10.4% in Macclenny.
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.