Demographics details for Apopka, FL vs Kenansville, NC
Population Overview
Compare main population characteristics in Apopka, FL vs Kenansville, NC.
| Data | Apopka | Kenansville |
|---|---|---|
| Population | 57,017 | 759 |
| Median Age | 38.9 years | 48.4 years |
| Median Income | $87,394 | $53,750 |
| Married Families | 41.0% | 45.0% |
| Poverty Level | 9% | 15% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Apopka vs Kenansville
- In Apopka, the population is higher at 57,017, compared to 759 in Kenansville.
- The median age in Kenansville is higher at 48.4 years, compared to 38.9 years in Apopka.
- Apopka has a higher median income of $87,394 compared to $53,750 in Kenansville.
- In Kenansville, the percentage of married families is higher at 45.0%, compared to 41.0% in Apopka.
- The poverty level is higher in Kenansville at 15%, compared to 9% in Apopka.
- Kenansville has a higher unemployment rate at 4.2% compared to 3.5% in Apopka.
Demographics
Demographics Apopka vs Kenansville provide insight into the diversity of the communities to compare.
| Demographic | Apopka | Kenansville |
|---|---|---|
| Black | 24 | 20 |
| White | 30 | 61 |
| Asian | 4 | 7 |
| Hispanic | 27 | 6 |
| Two or More Races | 15 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Apopka vs Kenansville
- A higher percentage of Black residents are in Apopka at 24% compared to 20% in Kenansville.
- The percentage of White residents is higher in Kenansville at 61% compared to 30% in Apopka.
- In Kenansville, the Asian population stands at 7%, greater than 4% in Apopka.
- The Hispanic community is larger in Apopka at 27% compared to 6% in Kenansville.
- More residents identify as two or more races in Apopka at 15% compared to 6% in Kenansville.
- The percentage of American Indian residents is the same in both Apopka and Kenansville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Apopka | Kenansville |
|---|---|---|
| Mental Health Not Good | 15.9% | 18.4% |
| Physical Health Not Good | 11.1% | 13.4% |
| Depression | 17.9% | 24.3% |
| Smoking | 18.5% | 21.6% |
| Binge Drinking | 14.7% | 15.6% |
| Obesity | 29.8% | 44.0% |
| Disability Percentage | 10.0% | 26.0% |
Health Statistics Comparison: Apopka vs Kenansville
- In Kenansville, a higher percentage report poor mental health at 18.4% compared to 15.9% in Apopka.
- Higher depression rates are seen in Kenansville at 24.3% versus 17.9% in Apopka.
- Kenansville has a higher smoking rate at 21.6% compared to 18.5% in Apopka.
- More residents engage in binge drinking in Kenansville at 15.6% compared to 14.7% in Apopka.
- Kenansville has higher obesity rates at 44.0% compared to 29.8% in Apopka.
- There is a higher percentage of disabled individuals in Kenansville at 26.0% compared to 10.0% in Apopka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Apopka | Kenansville |
|---|---|---|
| No Schooling | 0.9% (499) | 1.6% (12) |
| High School Diploma | 13.1% (7,455) | 24.0% (182) |
| Less than High School | 12.3% (7,016) | 13.8% (105) |
| Bachelor's Degree and Higher | 23.4% (13,353) | 22.5% (171) |
Education Levels Comparison: Apopka vs Kenansville
- In Kenansville, a larger percentage of residents lack formal schooling at 1.6% compared to 0.9% in Apopka.
- In Kenansville, the rate of residents with high school diplomas is higher at 24.0% compared to 13.1% in Apopka.
- The percentage of residents with less than a high school education is higher in Kenansville at 13.8%, compared to 12.3% in Apopka.
- A higher percentage of residents in Apopka hold a bachelor's degree or higher at 23.4% compared to 22.5% in Kenansville.
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.