Demographics details for Macclenny, FL vs Purcell, OK
Population Overview
Compare main population characteristics in Macclenny, FL vs Purcell, OK.
| Data | Macclenny | Purcell |
|---|---|---|
| Population | 7,670 | 6,762 |
| Median Age | 37.5 years | 34.7 years |
| Median Income | $62,134 | $68,295 |
| Married Families | 32.0% | 37.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Macclenny vs Purcell
- In Macclenny, the population is higher at 7,670, compared to 6,762 in Purcell.
- Residents in Macclenny have a higher median age of 37.5 years compared to 34.7 years in Purcell.
- Purcell has a higher median income of $68,295, compared to $62,134 in Macclenny.
- In Purcell, the percentage of married families is higher at 37.0%, compared to 32.0% in Macclenny.
- The poverty level is higher in Purcell at 12%, compared to 11% in Macclenny.
- Purcell has a higher unemployment rate at 3.6% compared to 3.5% in Macclenny.
Demographics
Demographics Macclenny vs Purcell provide insight into the diversity of the communities to compare.
| Demographic | Macclenny | Purcell |
|---|---|---|
| Black | 19 | 1 |
| White | 66 | 67 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 16 |
| Two or More Races | 9 | 13 |
| American Indian | 1 | 3 |
Demographics Comparison: Macclenny vs Purcell
- A higher percentage of Black residents are in Macclenny at 19% compared to 1% in Purcell.
- The percentage of White residents is higher in Purcell at 67% compared to 66% in Macclenny.
- The Asian population is larger in Macclenny at 1% compared to 0% in Purcell.
- Purcell has a higher percentage of Hispanic residents at 16%, compared to 4% in Macclenny.
- The percentage of residents identifying as two or more races is higher in Purcell at 13%, compared to 9% in Macclenny.
- In Purcell, the percentage of American Indian residents is higher at 3%, compared to 1% in Macclenny.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Macclenny | Purcell |
|---|---|---|
| Mental Health Not Good | 17.2% | 18.6% |
| Physical Health Not Good | 11.2% | 13.5% |
| Depression | 20.4% | 25.3% |
| Smoking | 22.6% | 21.0% |
| Binge Drinking | 17.1% | 14.4% |
| Obesity | 36.5% | 42.7% |
| Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Macclenny vs Purcell
- In Purcell, a higher percentage report poor mental health at 18.6% compared to 17.2% in Macclenny.
- Higher depression rates are seen in Purcell at 25.3% versus 20.4% in Macclenny.
- Smoking is more prevalent in Macclenny at 22.6% compared to 21.0% in Purcell.
- Binge drinking is more common in Macclenny at 17.1% compared to 14.4% in Purcell.
- Purcell has higher obesity rates at 42.7% compared to 36.5% in Macclenny.
- There is a higher percentage of disabled individuals in Purcell at 15.0% 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 | Purcell |
|---|---|---|
| No Schooling | 0.1% (4) | 0.4% (29) |
| High School Diploma | 17.8% (1,365) | 20.2% (1,367) |
| Less than High School | 13.5% (1,033) | 26.2% (1,775) |
| Bachelor's Degree and Higher | 10.4% (799) | 12.1% (821) |
Education Levels Comparison: Macclenny vs Purcell
- In Purcell, a larger percentage of residents lack formal schooling at 0.4% compared to 0.1% in Macclenny.
- In Purcell, the rate of residents with high school diplomas is higher at 20.2% compared to 17.8% in Macclenny.
- The percentage of residents with less than a high school education is higher in Purcell at 26.2%, compared to 13.5% in Macclenny.
- In Purcell, a larger share of residents have a bachelor's degree or higher at 12.1% 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.