Demographics details for De queen, AR vs Wilmington, NC
Population Overview
Compare main population characteristics in De queen, AR vs Wilmington, NC.
| Data | De queen | Wilmington |
|---|---|---|
| Population | 6,042 | 120,324 |
| Median Age | 33.0 years | 37.6 years |
| Median Income | $55,207 | $58,908 |
| Married Families | 35.0% | 32.0% |
| Poverty Level | 24% | 12% |
| Unemployment Rate | 4.8 | 3.7 |
Population Comparison: De queen vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 6,042 in De queen.
- The median age in Wilmington is higher at 37.6 years, compared to 33.0 years in De queen.
- Wilmington has a higher median income of $58,908, compared to $55,207 in De queen.
- A higher percentage of married families is found in De queen at 35.0% compared to 32.0% in Wilmington.
- De queen has a higher poverty level at 24% compared to 12% in Wilmington.
- The unemployment rate in De queen is higher at 4.8%, compared to 3.7% in Wilmington.
Demographics
Demographics De queen vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | De queen | Wilmington |
|---|---|---|
| Black | 6 | 16 |
| White | 28 | 71 |
| Asian | Data is updating | 1 |
| Hispanic | 60 | 7 |
| Two or More Races | 5 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: De queen vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 16% compared to 6% in De queen.
- The percentage of White residents is higher in Wilmington at 71% compared to 28% in De queen.
- In Wilmington, the Asian population stands at 1%, greater than 0% in De queen.
- The Hispanic community is larger in De queen at 60% compared to 7% in Wilmington.
- Both De queen and Wilmington have the same percentage of residents identifying as two or more races at 5%.
- A greater percentage of American Indian residents live in De queen at 1% compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | De queen | Wilmington |
|---|---|---|
| Mental Health Not Good | 20.2% | 16.9% |
| Physical Health Not Good | 17.2% | 11.0% |
| Depression | 24.7% | 25.0% |
| Smoking | 24.0% | 16.5% |
| Binge Drinking | 12.9% | 18.5% |
| Obesity | 44.1% | 33.2% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: De queen vs Wilmington
- More residents in De queen report poor mental health at 20.2% compared to 16.9% in Wilmington.
- Higher depression rates are seen in Wilmington at 25.0% versus 24.7% in De queen.
- Smoking is more prevalent in De queen at 24.0% compared to 16.5% in Wilmington.
- More residents engage in binge drinking in Wilmington at 18.5% compared to 12.9% in De queen.
- Obesity rates are higher in De queen at 44.1% compared to 33.2% in Wilmington.
- Disability percentages are the same in both De queen and Wilmington at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | De queen | Wilmington |
|---|---|---|
| No Schooling | 1.8% (108) | 0.5% (560) |
| High School Diploma | 15.0% (905) | 10.5% (12,679) |
| Less than High School | 46.5% (2,809) | 7.1% (8,513) |
| Bachelor's Degree and Higher | 7.0% (421) | 28.5% (34,319) |
Education Levels Comparison: De queen vs Wilmington
- A higher percentage of residents in De queen have no formal schooling at 1.8% compared to 0.5% in Wilmington.
- A higher percentage of residents in De queen hold a high school diploma at 15.0% compared to 10.5% in Wilmington.
- More residents in De queen have less than a high school education at 46.5% compared to 7.1% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 7.0% in De queen.
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.