Demographics details for Wilmington, NC vs Queenstown, MD
Population Overview
Compare main population characteristics in Wilmington, NC vs Queenstown, MD.
| Data | Wilmington | Queenstown |
|---|---|---|
| Population | 120,324 | 741 |
| Median Age | 37.6 years | 35.3 years |
| Median Income | $58,908 | $101,964 |
| Married Families | 32.0% | 43.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.7 | 4.2 |
Population Comparison: Wilmington vs Queenstown
- In Wilmington, the population is higher at 120,324, compared to 741 in Queenstown.
- Residents in Wilmington have a higher median age of 37.6 years compared to 35.3 years in Queenstown.
- Queenstown has a higher median income of $101,964, compared to $58,908 in Wilmington.
- In Queenstown, the percentage of married families is higher at 43.0%, compared to 32.0% in Wilmington.
- Wilmington has a higher poverty level at 12% compared to 5% in Queenstown.
- Queenstown has a higher unemployment rate at 4.2% compared to 3.7% in Wilmington.
Demographics
Demographics Wilmington vs Queenstown provide insight into the diversity of the communities to compare.
| Demographic | Wilmington | Queenstown |
|---|---|---|
| Black | 16 | 13 |
| White | 71 | 30 |
| Asian | 1 | Data is updating |
| Hispanic | 7 | 34 |
| Two or More Races | 5 | 21 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Wilmington vs Queenstown
- A higher percentage of Black residents are in Wilmington at 16% compared to 13% in Queenstown.
- Wilmington has a higher percentage of White residents at 71% compared to 30% in Queenstown.
- The Asian population is larger in Wilmington at 1% compared to 0% in Queenstown.
- Queenstown has a higher percentage of Hispanic residents at 34%, compared to 7% in Wilmington.
- The percentage of residents identifying as two or more races is higher in Queenstown at 21%, compared to 5% in Wilmington.
- In Queenstown, the percentage of American Indian residents is higher at 2%, compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wilmington | Queenstown |
|---|---|---|
| Mental Health Not Good | 16.9% | 14.5% |
| Physical Health Not Good | 11.0% | 8.4% |
| Depression | 25.0% | 20.2% |
| Smoking | 16.5% | 12.0% |
| Binge Drinking | 18.5% | 17.8% |
| Obesity | 33.2% | 33.7% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Wilmington vs Queenstown
- More residents in Wilmington report poor mental health at 16.9% compared to 14.5% in Queenstown.
- Depression is more prevalent in Wilmington at 25.0% compared to 20.2% in Queenstown.
- Smoking is more prevalent in Wilmington at 16.5% compared to 12.0% in Queenstown.
- Binge drinking is more common in Wilmington at 18.5% compared to 17.8% in Queenstown.
- Queenstown has higher obesity rates at 33.7% compared to 33.2% in Wilmington.
- Disability percentages are higher in Wilmington at 12.0% compared to 11.0% in Queenstown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wilmington | Queenstown |
|---|---|---|
| No Schooling | 0.5% (560) | 2.7% (20) |
| High School Diploma | 10.5% (12,679) | 17.8% (132) |
| Less than High School | 7.1% (8,513) | 14.6% (108) |
| Bachelor's Degree and Higher | 28.5% (34,319) | 28.3% (210) |
Education Levels Comparison: Wilmington vs Queenstown
- In Queenstown, a larger percentage of residents lack formal schooling at 2.7% compared to 0.5% in Wilmington.
- In Queenstown, the rate of residents with high school diplomas is higher at 17.8% compared to 10.5% in Wilmington.
- The percentage of residents with less than a high school education is higher in Queenstown at 14.6%, compared to 7.1% in Wilmington.
- A higher percentage of residents in Wilmington hold a bachelor's degree or higher at 28.5% compared to 28.3% in Queenstown.
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.