Demographics details for Macclenny, FL vs Queenstown, MD
Population Overview
Compare main population characteristics in Macclenny, FL vs Queenstown, MD.
| Data | Macclenny | Queenstown |
|---|---|---|
| Population | 7,670 | 741 |
| Median Age | 37.5 years | 35.3 years |
| Median Income | $62,134 | $101,964 |
| Married Families | 32.0% | 43.0% |
| Poverty Level | 11% | 5% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Macclenny vs Queenstown
- In Macclenny, the population is higher at 7,670, compared to 741 in Queenstown.
- Residents in Macclenny have a higher median age of 37.5 years compared to 35.3 years in Queenstown.
- Queenstown has a higher median income of $101,964, compared to $62,134 in Macclenny.
- In Queenstown, the percentage of married families is higher at 43.0%, compared to 32.0% in Macclenny.
- Macclenny has a higher poverty level at 11% compared to 5% in Queenstown.
- Queenstown has a higher unemployment rate at 4.2% compared to 3.5% in Macclenny.
Demographics
Demographics Macclenny vs Queenstown provide insight into the diversity of the communities to compare.
| Demographic | Macclenny | Queenstown |
|---|---|---|
| Black | 19 | 13 |
| White | 66 | 30 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 34 |
| Two or More Races | 9 | 21 |
| American Indian | 1 | 2 |
Demographics Comparison: Macclenny vs Queenstown
- A higher percentage of Black residents are in Macclenny at 19% compared to 13% in Queenstown.
- Macclenny has a higher percentage of White residents at 66% compared to 30% in Queenstown.
- The Asian population is larger in Macclenny at 1% compared to 0% in Queenstown.
- Queenstown has a higher percentage of Hispanic residents at 34%, compared to 4% in Macclenny.
- The percentage of residents identifying as two or more races is higher in Queenstown at 21%, compared to 9% in Macclenny.
- In Queenstown, the percentage of American Indian residents is higher at 2%, compared to 1% in Macclenny.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Macclenny | Queenstown |
|---|---|---|
| Mental Health Not Good | 17.2% | 14.5% |
| Physical Health Not Good | 11.2% | 8.4% |
| Depression | 20.4% | 20.2% |
| Smoking | 22.6% | 12.0% |
| Binge Drinking | 17.1% | 17.8% |
| Obesity | 36.5% | 33.7% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Macclenny vs Queenstown
- More residents in Macclenny report poor mental health at 17.2% compared to 14.5% in Queenstown.
- Depression is more prevalent in Macclenny at 20.4% compared to 20.2% in Queenstown.
- Smoking is more prevalent in Macclenny at 22.6% compared to 12.0% in Queenstown.
- More residents engage in binge drinking in Queenstown at 17.8% compared to 17.1% in Macclenny.
- Obesity rates are higher in Macclenny at 36.5% compared to 33.7% in Queenstown.
- Disability percentages are higher in Macclenny at 14.0% compared to 11.0% in Queenstown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Macclenny | Queenstown |
|---|---|---|
| No Schooling | 0.1% (4) | 2.7% (20) |
| High School Diploma | 17.8% (1,365) | 17.8% (132) |
| Less than High School | 13.5% (1,033) | 14.6% (108) |
| Bachelor's Degree and Higher | 10.4% (799) | 28.3% (210) |
Education Levels Comparison: Macclenny vs Queenstown
- In Queenstown, a larger percentage of residents lack formal schooling at 2.7% compared to 0.1% in Macclenny.
- Both cities have the same percentage of residents with high school diplomas at 17.8%.
- The percentage of residents with less than a high school education is higher in Queenstown at 14.6%, compared to 13.5% in Macclenny.
- In Queenstown, a larger share of residents have a bachelor's degree or higher at 28.3% 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.