Demographics details for Maywood, NE vs Queenstown, MD
Population Overview
Compare main population characteristics in Maywood, NE vs Queenstown, MD.
| Data | Maywood | Queenstown |
|---|---|---|
| Population | 275 | 741 |
| Median Age | 41.6 years | 35.3 years |
| Median Income | $45,250 | $101,964 |
| Married Families | 37.0% | 43.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Maywood vs Queenstown
- The population in Queenstown is higher at 741, compared to 275 in Maywood.
- Residents in Maywood have a higher median age of 41.6 years compared to 35.3 years in Queenstown.
- Queenstown has a higher median income of $101,964, compared to $45,250 in Maywood.
- In Queenstown, the percentage of married families is higher at 43.0%, compared to 37.0% in Maywood.
- Maywood has a higher poverty level at 12% compared to 5% in Queenstown.
- Queenstown has a higher unemployment rate at 4.2% compared to 3.5% in Maywood.
Demographics
Demographics Maywood vs Queenstown provide insight into the diversity of the communities to compare.
| Demographic | Maywood | Queenstown |
|---|---|---|
| Black | 1 | 13 |
| White | 86 | 30 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | 34 |
| Two or More Races | 7 | 21 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Maywood vs Queenstown
- In Queenstown, the percentage of Black residents is higher at 13% compared to 1% in Maywood.
- Maywood has a higher percentage of White residents at 86% compared to 30% in Queenstown.
- Both Maywood and Queenstown have the same percentage of Asian residents at 0%.
- Queenstown has a higher percentage of Hispanic residents at 34%, compared to 6% in Maywood.
- The percentage of residents identifying as two or more races is higher in Queenstown at 21%, compared to 7% in Maywood.
- In Queenstown, the percentage of American Indian residents is higher at 2%, compared to 0% in Maywood.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Maywood | Queenstown |
|---|---|---|
| Mental Health Not Good | 13.6% | 14.5% |
| Physical Health Not Good | 9.3% | 8.4% |
| Depression | 17.2% | 20.2% |
| Smoking | 15.7% | 12.0% |
| Binge Drinking | 20.6% | 17.8% |
| Obesity | 38.3% | 33.7% |
| Disability Percentage | 22.0% | 11.0% |
Health Statistics Comparison: Maywood vs Queenstown
- In Queenstown, a higher percentage report poor mental health at 14.5% compared to 13.6% in Maywood.
- Higher depression rates are seen in Queenstown at 20.2% versus 17.2% in Maywood.
- Smoking is more prevalent in Maywood at 15.7% compared to 12.0% in Queenstown.
- Binge drinking is more common in Maywood at 20.6% compared to 17.8% in Queenstown.
- Obesity rates are higher in Maywood at 38.3% compared to 33.7% in Queenstown.
- Disability percentages are higher in Maywood at 22.0% 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 | Maywood | Queenstown |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.7% (20) |
| High School Diploma | 20.7% (57) | 17.8% (132) |
| Less than High School | 14.5% (40) | 14.6% (108) |
| Bachelor's Degree and Higher | 10.2% (28) | 28.3% (210) |
Education Levels Comparison: Maywood vs Queenstown
- In Queenstown, a larger percentage of residents lack formal schooling at 2.7% compared to 0.0% in Maywood.
- A higher percentage of residents in Maywood hold a high school diploma at 20.7% compared to 17.8% in Queenstown.
- The percentage of residents with less than a high school education is higher in Queenstown at 14.6%, compared to 14.5% in Maywood.
- In Queenstown, a larger share of residents have a bachelor's degree or higher at 28.3% compared to 10.2% in Maywood.
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.