Demographics details for Wilmington, NC vs Buckner, KY
Population Overview
Compare main population characteristics in Wilmington, NC vs Buckner, KY.
| Data | Wilmington | Buckner |
|---|---|---|
| Population | 120,324 | 3,658 |
| Median Age | 37.6 years | 37.6 years |
| Median Income | $58,908 | $141,538 |
| Married Families | 32.0% | 54.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 3.7 | 3.2 |
Population Comparison: Wilmington vs Buckner
- In Wilmington, the population is higher at 120,324, compared to 3,658 in Buckner.
- The median age is the same in both Wilmington and Buckner at 37.6 years.
- Buckner has a higher median income of $141,538, compared to $58,908 in Wilmington.
- In Buckner, the percentage of married families is higher at 54.0%, compared to 32.0% in Wilmington.
- Wilmington has a higher poverty level at 12% compared to 0% in Buckner.
- The unemployment rate in Wilmington is higher at 3.7%, compared to 3.2% in Buckner.
Demographics
Demographics Wilmington vs Buckner provide insight into the diversity of the communities to compare.
| Demographic | Wilmington | Buckner |
|---|---|---|
| Black | 16 | 6 |
| White | 71 | 84 |
| Asian | 1 | Data is updating |
| Hispanic | 7 | 4 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wilmington vs Buckner
- A higher percentage of Black residents are in Wilmington at 16% compared to 6% in Buckner.
- The percentage of White residents is higher in Buckner at 84% compared to 71% in Wilmington.
- The Asian population is larger in Wilmington at 1% compared to 0% in Buckner.
- The Hispanic community is larger in Wilmington at 7% compared to 4% in Buckner.
- The percentage of residents identifying as two or more races is higher in Buckner at 6%, compared to 5% in Wilmington.
- The percentage of American Indian residents is the same in both Wilmington and Buckner at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wilmington | Buckner |
|---|---|---|
| Mental Health Not Good | 16.9% | 14.3% |
| Physical Health Not Good | 11.0% | 10.7% |
| Depression | 25.0% | 21.0% |
| Smoking | 16.5% | 17.3% |
| Binge Drinking | 18.5% | 19.0% |
| Obesity | 33.2% | 33.8% |
| Disability Percentage | 12.0% | 5.0% |
Health Statistics Comparison: Wilmington vs Buckner
- More residents in Wilmington report poor mental health at 16.9% compared to 14.3% in Buckner.
- Depression is more prevalent in Wilmington at 25.0% compared to 21.0% in Buckner.
- Buckner has a higher smoking rate at 17.3% compared to 16.5% in Wilmington.
- More residents engage in binge drinking in Buckner at 19.0% compared to 18.5% in Wilmington.
- Buckner has higher obesity rates at 33.8% compared to 33.2% in Wilmington.
- Disability percentages are higher in Wilmington at 12.0% 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 | Wilmington | Buckner |
|---|---|---|
| No Schooling | 0.5% (560) | 0.6% (21) |
| High School Diploma | 10.5% (12,679) | 3.3% (121) |
| Less than High School | 7.1% (8,513) | 8.7% (320) |
| Bachelor's Degree and Higher | 28.5% (34,319) | 36.6% (1,339) |
Education Levels Comparison: Wilmington vs Buckner
- In Buckner, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Wilmington.
- A higher percentage of residents in Wilmington hold a high school diploma at 10.5% compared to 3.3% in Buckner.
- The percentage of residents with less than a high school education is higher in Buckner at 8.7%, compared to 7.1% in Wilmington.
- In Buckner, a larger share of residents have a bachelor's degree or higher at 36.6% compared to 28.5% in Wilmington.
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.