Demographics details for Keller, TX vs Macclenny, FL
Population Overview
Compare main population characteristics in Keller, TX vs Macclenny, FL.
| Data | Keller | Macclenny |
|---|---|---|
| Population | 45,252 | 7,670 |
| Median Age | 43.3 years | 37.5 years |
| Median Income | $162,094 | $62,134 |
| Married Families | 53.0% | 32.0% |
| Poverty Level | Data is updating | 11% |
| Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Keller vs Macclenny
- In Keller, the population is higher at 45,252, compared to 7,670 in Macclenny.
- Residents in Keller have a higher median age of 43.3 years compared to 37.5 years in Macclenny.
- Keller has a higher median income of $162,094 compared to $62,134 in Macclenny.
- A higher percentage of married families is found in Keller at 53.0% compared to 32.0% in Macclenny.
- The poverty level is higher in Macclenny at 11%, compared to 0% in Keller.
- The unemployment rate in Keller is higher at 3.8%, compared to 3.5% in Macclenny.
Demographics
Demographics Keller vs Macclenny provide insight into the diversity of the communities to compare.
| Demographic | Keller | Macclenny |
|---|---|---|
| Black | 3 | 19 |
| White | 76 | 66 |
| Asian | 5 | 1 |
| Hispanic | 10 | 4 |
| Two or More Races | 6 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Keller vs Macclenny
- In Macclenny, the percentage of Black residents is higher at 19% compared to 3% in Keller.
- Keller has a higher percentage of White residents at 76% compared to 66% in Macclenny.
- The Asian population is larger in Keller at 5% compared to 1% in Macclenny.
- The Hispanic community is larger in Keller at 10% compared to 4% in Macclenny.
- The percentage of residents identifying as two or more races is higher in Macclenny at 9%, compared to 6% in Keller.
- In Macclenny, the percentage of American Indian residents is higher at 1%, compared to 0% in Keller.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keller | Macclenny |
|---|---|---|
| Mental Health Not Good | 13.9% | 17.2% |
| Physical Health Not Good | 8.1% | 11.2% |
| Depression | 22.3% | 20.4% |
| Smoking | 10.2% | 22.6% |
| Binge Drinking | 19.6% | 17.1% |
| Obesity | 28.6% | 36.5% |
| Disability Percentage | 7.0% | 14.0% |
Health Statistics Comparison: Keller vs Macclenny
- In Macclenny, a higher percentage report poor mental health at 17.2% compared to 13.9% in Keller.
- Depression is more prevalent in Keller at 22.3% compared to 20.4% in Macclenny.
- Macclenny has a higher smoking rate at 22.6% compared to 10.2% in Keller.
- Binge drinking is more common in Keller at 19.6% compared to 17.1% in Macclenny.
- Macclenny has higher obesity rates at 36.5% compared to 28.6% in Keller.
- There is a higher percentage of disabled individuals in Macclenny at 14.0% compared to 7.0% in Keller.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Keller | Macclenny |
|---|---|---|
| No Schooling | 0.4% (183) | 0.1% (4) |
| High School Diploma | 7.1% (3,221) | 17.8% (1,365) |
| Less than High School | 3.0% (1,347) | 13.5% (1,033) |
| Bachelor's Degree and Higher | 40.2% (18,208) | 10.4% (799) |
Education Levels Comparison: Keller vs Macclenny
- A higher percentage of residents in Keller have no formal schooling at 0.4% compared to 0.1% in Macclenny.
- In Macclenny, the rate of residents with high school diplomas is higher at 17.8% compared to 7.1% in Keller.
- The percentage of residents with less than a high school education is higher in Macclenny at 13.5%, compared to 3.0% in Keller.
- A higher percentage of residents in Keller hold a bachelor's degree or higher at 40.2% 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.