Demographics details for Lanett, AL vs Kenansville, NC
Population Overview
Compare main population characteristics in Lanett, AL vs Kenansville, NC.
| Data | Lanett | Kenansville |
|---|---|---|
| Population | 6,759 | 759 |
| Median Age | 39.9 years | 48.4 years |
| Median Income | $48,125 | $53,750 |
| Married Families | 24.0% | 45.0% |
| Poverty Level | Data is updating | 15% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Lanett vs Kenansville
- In Lanett, the population is higher at 6,759, compared to 759 in Kenansville.
- The median age in Kenansville is higher at 48.4 years, compared to 39.9 years in Lanett.
- Kenansville has a higher median income of $53,750, compared to $48,125 in Lanett.
- In Kenansville, the percentage of married families is higher at 45.0%, compared to 24.0% in Lanett.
- The poverty level is higher in Kenansville at 15%, compared to 0% in Lanett.
- Kenansville has a higher unemployment rate at 4.2% compared to 3.2% in Lanett.
Demographics
Demographics Lanett vs Kenansville provide insight into the diversity of the communities to compare.
| Demographic | Lanett | Kenansville |
|---|---|---|
| Black | 73 | 20 |
| White | 16 | 61 |
| Asian | Data is updating | 7 |
| Hispanic | 8 | 6 |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lanett vs Kenansville
- A higher percentage of Black residents are in Lanett at 73% compared to 20% in Kenansville.
- The percentage of White residents is higher in Kenansville at 61% compared to 16% in Lanett.
- In Kenansville, the Asian population stands at 7%, greater than 0% in Lanett.
- The Hispanic community is larger in Lanett at 8% compared to 6% in Kenansville.
- The percentage of residents identifying as two or more races is higher in Kenansville at 6%, compared to 3% in Lanett.
- The percentage of American Indian residents is the same in both Lanett and Kenansville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lanett | Kenansville |
|---|---|---|
| Mental Health Not Good | 20.0% | 18.4% |
| Physical Health Not Good | 14.6% | 13.4% |
| Depression | 22.1% | 24.3% |
| Smoking | 21.6% | 21.6% |
| Binge Drinking | 12.7% | 15.6% |
| Obesity | 46.5% | 44.0% |
| Disability Percentage | 22.0% | 26.0% |
Health Statistics Comparison: Lanett vs Kenansville
- More residents in Lanett report poor mental health at 20.0% compared to 18.4% in Kenansville.
- Higher depression rates are seen in Kenansville at 24.3% versus 22.1% in Lanett.
- Smoking rates are the same in both Lanett and Kenansville at 21.6%.
- More residents engage in binge drinking in Kenansville at 15.6% compared to 12.7% in Lanett.
- Obesity rates are higher in Lanett at 46.5% compared to 44.0% in Kenansville.
- There is a higher percentage of disabled individuals in Kenansville at 26.0% compared to 22.0% in Lanett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lanett | Kenansville |
|---|---|---|
| No Schooling | 1.3% (90) | 1.6% (12) |
| High School Diploma | 18.9% (1,277) | 24.0% (182) |
| Less than High School | 20.3% (1,369) | 13.8% (105) |
| Bachelor's Degree and Higher | 7.4% (498) | 22.5% (171) |
Education Levels Comparison: Lanett vs Kenansville
- In Kenansville, a larger percentage of residents lack formal schooling at 1.6% compared to 1.3% in Lanett.
- In Kenansville, the rate of residents with high school diplomas is higher at 24.0% compared to 18.9% in Lanett.
- More residents in Lanett have less than a high school education at 20.3% compared to 13.8% in Kenansville.
- In Kenansville, a larger share of residents have a bachelor's degree or higher at 22.5% compared to 7.4% in Lanett.
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.