Demographics details for Superior, WI vs Macclenny, FL
Population Overview
Compare main population characteristics in Superior, WI vs Macclenny, FL.
| Data | Superior | Macclenny |
|---|---|---|
| Population | 26,459 | 7,670 |
| Median Age | 38.7 years | 37.5 years |
| Median Income | $54,935 | $62,134 |
| Married Families | 33.0% | 32.0% |
| Poverty Level | 11% | 11% |
| Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Superior vs Macclenny
- In Superior, the population is higher at 26,459, compared to 7,670 in Macclenny.
- Residents in Superior have a higher median age of 38.7 years compared to 37.5 years in Macclenny.
- Macclenny has a higher median income of $62,134, compared to $54,935 in Superior.
- A higher percentage of married families is found in Superior at 33.0% compared to 32.0% in Macclenny.
- The poverty level is identical in both Superior and Macclenny at 11%.
- The unemployment rate in Superior is higher at 3.8%, compared to 3.5% in Macclenny.
Demographics
Demographics Superior vs Macclenny provide insight into the diversity of the communities to compare.
| Demographic | Superior | Macclenny |
|---|---|---|
| Black | 2 | 19 |
| White | 87 | 66 |
| Asian | 2 | 1 |
| Hispanic | 2 | 4 |
| Two or More Races | 5 | 9 |
| American Indian | 2 | 1 |
Demographics Comparison: Superior vs Macclenny
- In Macclenny, the percentage of Black residents is higher at 19% compared to 2% in Superior.
- Superior has a higher percentage of White residents at 87% compared to 66% in Macclenny.
- The Asian population is larger in Superior at 2% compared to 1% in Macclenny.
- Macclenny has a higher percentage of Hispanic residents at 4%, compared to 2% in Superior.
- The percentage of residents identifying as two or more races is higher in Macclenny at 9%, compared to 5% in Superior.
- A greater percentage of American Indian residents live in Superior at 2% compared to 1% in Macclenny.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Superior | Macclenny |
|---|---|---|
| Mental Health Not Good | 15.7% | 17.2% |
| Physical Health Not Good | 10.8% | 11.2% |
| Depression | 24.0% | 20.4% |
| Smoking | 17.3% | 22.6% |
| Binge Drinking | 25.5% | 17.1% |
| Obesity | 36.9% | 36.5% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Superior vs Macclenny
- In Macclenny, a higher percentage report poor mental health at 17.2% compared to 15.7% in Superior.
- Depression is more prevalent in Superior at 24.0% compared to 20.4% in Macclenny.
- Macclenny has a higher smoking rate at 22.6% compared to 17.3% in Superior.
- Binge drinking is more common in Superior at 25.5% compared to 17.1% in Macclenny.
- Obesity rates are higher in Superior at 36.9% compared to 36.5% in Macclenny.
- Disability percentages are higher in Superior 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 | Superior | Macclenny |
|---|---|---|
| No Schooling | 0.6% (149) | 0.1% (4) |
| High School Diploma | 17.4% (4,616) | 17.8% (1,365) |
| Less than High School | 7.6% (2,003) | 13.5% (1,033) |
| Bachelor's Degree and Higher | 19.8% (5,251) | 10.4% (799) |
Education Levels Comparison: Superior vs Macclenny
- A higher percentage of residents in Superior have no formal schooling at 0.6% compared to 0.1% in Macclenny.
- In Macclenny, the rate of residents with high school diplomas is higher at 17.8% compared to 17.4% in Superior.
- The percentage of residents with less than a high school education is higher in Macclenny at 13.5%, compared to 7.6% in Superior.
- A higher percentage of residents in Superior hold a bachelor's degree or higher at 19.8% 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.