Demographics details for Queenstown, MD vs Shelbina, MO
Population Overview
Compare main population characteristics in Queenstown, MD vs Shelbina, MO.
| Data | Queenstown | Shelbina |
|---|---|---|
| Population | 741 | 1,582 |
| Median Age | 35.3 years | 37.6 years |
| Median Income | $101,964 | $52,050 |
| Married Families | 43.0% | 51.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Queenstown vs Shelbina
- The population in Shelbina is higher at 1,582, compared to 741 in Queenstown.
- The median age in Shelbina is higher at 37.6 years, compared to 35.3 years in Queenstown.
- Queenstown has a higher median income of $101,964 compared to $52,050 in Shelbina.
- In Shelbina, the percentage of married families is higher at 51.0%, compared to 43.0% in Queenstown.
- The poverty level is higher in Shelbina at 11%, compared to 5% in Queenstown.
- The unemployment rate in Queenstown is higher at 4.2%, compared to 3.5% in Shelbina.
Demographics
Demographics Queenstown vs Shelbina provide insight into the diversity of the communities to compare.
| Demographic | Queenstown | Shelbina |
|---|---|---|
| Black | 13 | 5 |
| White | 30 | 89 |
| Asian | Data is updating | Data is updating |
| Hispanic | 34 | 3 |
| Two or More Races | 21 | 1 |
| American Indian | 2 | 2 |
Demographics Comparison: Queenstown vs Shelbina
- A higher percentage of Black residents are in Queenstown at 13% compared to 5% in Shelbina.
- The percentage of White residents is higher in Shelbina at 89% compared to 30% in Queenstown.
- Both Queenstown and Shelbina have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Queenstown at 34% compared to 3% in Shelbina.
- More residents identify as two or more races in Queenstown at 21% compared to 1% in Shelbina.
- The percentage of American Indian residents is the same in both Queenstown and Shelbina at 2%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Queenstown | Shelbina |
|---|---|---|
| Mental Health Not Good | 14.5% | 19.2% |
| Physical Health Not Good | 8.4% | 14.0% |
| Depression | 20.2% | 26.4% |
| Smoking | 12.0% | 23.4% |
| Binge Drinking | 17.8% | 17.6% |
| Obesity | 33.7% | 39.6% |
| Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: Queenstown vs Shelbina
- In Shelbina, a higher percentage report poor mental health at 19.2% compared to 14.5% in Queenstown.
- Higher depression rates are seen in Shelbina at 26.4% versus 20.2% in Queenstown.
- Shelbina has a higher smoking rate at 23.4% compared to 12.0% in Queenstown.
- Binge drinking is more common in Queenstown at 17.8% compared to 17.6% in Shelbina.
- Shelbina has higher obesity rates at 39.6% compared to 33.7% in Queenstown.
- There is a higher percentage of disabled individuals in Shelbina at 20.0% 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 | Queenstown | Shelbina |
|---|---|---|
| No Schooling | 2.7% (20) | 0.2% (3) |
| High School Diploma | 17.8% (132) | 31.1% (492) |
| Less than High School | 14.6% (108) | 17.6% (279) |
| Bachelor's Degree and Higher | 28.3% (210) | 14.2% (225) |
Education Levels Comparison: Queenstown vs Shelbina
- A higher percentage of residents in Queenstown have no formal schooling at 2.7% compared to 0.2% in Shelbina.
- In Shelbina, the rate of residents with high school diplomas is higher at 31.1% compared to 17.8% in Queenstown.
- The percentage of residents with less than a high school education is higher in Shelbina at 17.6%, compared to 14.6% in Queenstown.
- A higher percentage of residents in Queenstown hold a bachelor's degree or higher at 28.3% compared to 14.2% in Shelbina.
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.