Demographics details for Queenstown, MD vs Indianola, IA
Population Overview
Compare main population characteristics in Queenstown, MD vs Indianola, IA.
| Data | Queenstown | Indianola |
|---|---|---|
| Population | 741 | 16,069 |
| Median Age | 35.3 years | 34.7 years |
| Median Income | $101,964 | $73,534 |
| Married Families | 43.0% | 37.0% |
| Poverty Level | 5% | 7% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Queenstown vs Indianola
- The population in Indianola is higher at 16,069, compared to 741 in Queenstown.
- Residents in Queenstown have a higher median age of 35.3 years compared to 34.7 years in Indianola.
- Queenstown has a higher median income of $101,964 compared to $73,534 in Indianola.
- A higher percentage of married families is found in Queenstown at 43.0% compared to 37.0% in Indianola.
- The poverty level is higher in Indianola at 7%, compared to 5% in Queenstown.
- The unemployment rate in Queenstown is higher at 4.2%, compared to 3.2% in Indianola.
Demographics
Demographics Queenstown vs Indianola provide insight into the diversity of the communities to compare.
| Demographic | Queenstown | Indianola |
|---|---|---|
| Black | 13 | 1 |
| White | 30 | 91 |
| Asian | Data is updating | 2 |
| Hispanic | 34 | 2 |
| Two or More Races | 21 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Queenstown vs Indianola
- A higher percentage of Black residents are in Queenstown at 13% compared to 1% in Indianola.
- The percentage of White residents is higher in Indianola at 91% compared to 30% in Queenstown.
- In Indianola, the Asian population stands at 2%, greater than 0% in Queenstown.
- The Hispanic community is larger in Queenstown at 34% compared to 2% in Indianola.
- More residents identify as two or more races in Queenstown at 21% compared to 4% in Indianola.
- A greater percentage of American Indian residents live in Queenstown at 2% compared to 0% in Indianola.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Queenstown | Indianola |
|---|---|---|
| Mental Health Not Good | 14.5% | 15.7% |
| Physical Health Not Good | 8.4% | 9.7% |
| Depression | 20.2% | 19.0% |
| Smoking | 12.0% | 16.5% |
| Binge Drinking | 17.8% | 21.4% |
| Obesity | 33.7% | 39.2% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Queenstown vs Indianola
- In Indianola, a higher percentage report poor mental health at 15.7% compared to 14.5% in Queenstown.
- Depression is more prevalent in Queenstown at 20.2% compared to 19.0% in Indianola.
- Indianola has a higher smoking rate at 16.5% compared to 12.0% in Queenstown.
- More residents engage in binge drinking in Indianola at 21.4% compared to 17.8% in Queenstown.
- Indianola has higher obesity rates at 39.2% compared to 33.7% in Queenstown.
- There is a higher percentage of disabled individuals in Indianola 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 | Queenstown | Indianola |
|---|---|---|
| No Schooling | 2.7% (20) | 0.3% (43) |
| High School Diploma | 17.8% (132) | 14.5% (2,326) |
| Less than High School | 14.6% (108) | 3.5% (566) |
| Bachelor's Degree and Higher | 28.3% (210) | 20.0% (3,217) |
Education Levels Comparison: Queenstown vs Indianola
- A higher percentage of residents in Queenstown have no formal schooling at 2.7% compared to 0.3% in Indianola.
- A higher percentage of residents in Queenstown hold a high school diploma at 17.8% compared to 14.5% in Indianola.
- More residents in Queenstown have less than a high school education at 14.6% compared to 3.5% in Indianola.
- A higher percentage of residents in Queenstown hold a bachelor's degree or higher at 28.3% compared to 20.0% in Indianola.
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.