Demographics details for Macclenny, FL vs Buckner, KY
Population Overview
Compare main population characteristics in Macclenny, FL vs Buckner, KY.
| Data | Macclenny | Buckner |
|---|---|---|
| Population | 7,670 | 3,658 |
| Median Age | 37.5 years | 37.6 years |
| Median Income | $62,134 | $141,538 |
| Married Families | 32.0% | 54.0% |
| Poverty Level | 11% | Data is updating |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Macclenny vs Buckner
- In Macclenny, the population is higher at 7,670, compared to 3,658 in Buckner.
- The median age in Buckner is higher at 37.6 years, compared to 37.5 years in Macclenny.
- Buckner has a higher median income of $141,538, compared to $62,134 in Macclenny.
- In Buckner, the percentage of married families is higher at 54.0%, compared to 32.0% in Macclenny.
- Macclenny has a higher poverty level at 11% compared to 0% in Buckner.
- The unemployment rate in Macclenny is higher at 3.5%, compared to 3.2% in Buckner.
Demographics
Demographics Macclenny vs Buckner provide insight into the diversity of the communities to compare.
| Demographic | Macclenny | Buckner |
|---|---|---|
| Black | 19 | 6 |
| White | 66 | 84 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 4 |
| Two or More Races | 9 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Macclenny vs Buckner
- A higher percentage of Black residents are in Macclenny at 19% compared to 6% in Buckner.
- The percentage of White residents is higher in Buckner at 84% compared to 66% in Macclenny.
- The Asian population is larger in Macclenny at 1% compared to 0% in Buckner.
- The percentage of Hispanic residents is the same in both Macclenny and Buckner at 4%.
- More residents identify as two or more races in Macclenny at 9% compared to 6% in Buckner.
- A greater percentage of American Indian residents live in Macclenny at 1% compared to 0% in Buckner.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Macclenny | Buckner |
|---|---|---|
| Mental Health Not Good | 17.2% | 14.3% |
| Physical Health Not Good | 11.2% | 10.7% |
| Depression | 20.4% | 21.0% |
| Smoking | 22.6% | 17.3% |
| Binge Drinking | 17.1% | 19.0% |
| Obesity | 36.5% | 33.8% |
| Disability Percentage | 14.0% | 5.0% |
Health Statistics Comparison: Macclenny vs Buckner
- More residents in Macclenny report poor mental health at 17.2% compared to 14.3% in Buckner.
- Higher depression rates are seen in Buckner at 21.0% versus 20.4% in Macclenny.
- Smoking is more prevalent in Macclenny at 22.6% compared to 17.3% in Buckner.
- More residents engage in binge drinking in Buckner at 19.0% compared to 17.1% in Macclenny.
- Obesity rates are higher in Macclenny at 36.5% compared to 33.8% in Buckner.
- Disability percentages are higher in Macclenny at 14.0% compared to 5.0% in Buckner.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Macclenny | Buckner |
|---|---|---|
| No Schooling | 0.1% (4) | 0.6% (21) |
| High School Diploma | 17.8% (1,365) | 3.3% (121) |
| Less than High School | 13.5% (1,033) | 8.7% (320) |
| Bachelor's Degree and Higher | 10.4% (799) | 36.6% (1,339) |
Education Levels Comparison: Macclenny vs Buckner
- In Buckner, a larger percentage of residents lack formal schooling at 0.6% compared to 0.1% in Macclenny.
- A higher percentage of residents in Macclenny hold a high school diploma at 17.8% compared to 3.3% in Buckner.
- More residents in Macclenny have less than a high school education at 13.5% compared to 8.7% in Buckner.
- In Buckner, a larger share of residents have a bachelor's degree or higher at 36.6% 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.