Demographics details for De queen, AR vs White house, TN
Population Overview
Compare main population characteristics in De queen, AR vs White house, TN.
| Data | De queen | White house |
|---|---|---|
| Population | 6,042 | 14,516 |
| Median Age | 33.0 years | 36.5 years |
| Median Income | $55,207 | $85,404 |
| Married Families | 35.0% | 46.0% |
| Poverty Level | 24% | 7% |
| Unemployment Rate | 4.8 | 3.4 |
Population Comparison: De queen vs White house
- The population in White house is higher at 14,516, compared to 6,042 in De queen.
- The median age in White house is higher at 36.5 years, compared to 33.0 years in De queen.
- White house has a higher median income of $85,404, compared to $55,207 in De queen.
- In White house, the percentage of married families is higher at 46.0%, compared to 35.0% in De queen.
- De queen has a higher poverty level at 24% compared to 7% in White house.
- The unemployment rate in De queen is higher at 4.8%, compared to 3.4% in White house.
Demographics
Demographics De queen vs White house provide insight into the diversity of the communities to compare.
| Demographic | De queen | White house |
|---|---|---|
| Black | 6 | 2 |
| White | 28 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 60 | 4 |
| Two or More Races | 5 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: De queen vs White house
- A higher percentage of Black residents are in De queen at 6% compared to 2% in White house.
- The percentage of White residents is higher in White house at 87% compared to 28% in De queen.
- In White house, the Asian population stands at 1%, greater than 0% in De queen.
- The Hispanic community is larger in De queen at 60% compared to 4% in White house.
- The percentage of residents identifying as two or more races is higher in White house at 6%, compared to 5% in De queen.
- A greater percentage of American Indian residents live in De queen at 1% compared to 0% in White house.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | De queen | White house |
|---|---|---|
| Mental Health Not Good | 20.2% | 17.5% |
| Physical Health Not Good | 17.2% | 11.0% |
| Depression | 24.7% | 27.6% |
| Smoking | 24.0% | 17.7% |
| Binge Drinking | 12.9% | 16.7% |
| Obesity | 44.1% | 32.5% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: De queen vs White house
- More residents in De queen report poor mental health at 20.2% compared to 17.5% in White house.
- Higher depression rates are seen in White house at 27.6% versus 24.7% in De queen.
- Smoking is more prevalent in De queen at 24.0% compared to 17.7% in White house.
- More residents engage in binge drinking in White house at 16.7% compared to 12.9% in De queen.
- Obesity rates are higher in De queen at 44.1% compared to 32.5% in White house.
- Disability percentages are higher in De queen at 12.0% compared to 11.0% in White house.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | De queen | White house |
|---|---|---|
| No Schooling | 1.8% (108) | 0.2% (30) |
| High School Diploma | 15.0% (905) | 18.0% (2,617) |
| Less than High School | 46.5% (2,809) | 12.4% (1,794) |
| Bachelor's Degree and Higher | 7.0% (421) | 15.4% (2,235) |
Education Levels Comparison: De queen vs White house
- A higher percentage of residents in De queen have no formal schooling at 1.8% compared to 0.2% in White house.
- In White house, the rate of residents with high school diplomas is higher at 18.0% compared to 15.0% in De queen.
- More residents in De queen have less than a high school education at 46.5% compared to 12.4% in White house.
- In White house, a larger share of residents have a bachelor's degree or higher at 15.4% 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.