Demographics details for De queen, AR vs Kearny, NJ
Population Overview
Compare main population characteristics in De queen, AR vs Kearny, NJ.
| Data | De queen | Kearny |
|---|---|---|
| Population | 6,042 | 39,862 |
| Median Age | 33.0 years | 39.1 years |
| Median Income | $55,207 | $81,307 |
| Married Families | 35.0% | 41.0% |
| Poverty Level | 24% | 11% |
| Unemployment Rate | 4.8 | 5.2 |
Population Comparison: De queen vs Kearny
- The population in Kearny is higher at 39,862, compared to 6,042 in De queen.
- The median age in Kearny is higher at 39.1 years, compared to 33.0 years in De queen.
- Kearny has a higher median income of $81,307, compared to $55,207 in De queen.
- In Kearny, the percentage of married families is higher at 41.0%, compared to 35.0% in De queen.
- De queen has a higher poverty level at 24% compared to 11% in Kearny.
- Kearny has a higher unemployment rate at 5.2% compared to 4.8% in De queen.
Demographics
Demographics De queen vs Kearny provide insight into the diversity of the communities to compare.
| Demographic | De queen | Kearny |
|---|---|---|
| Black | 6 | 5 |
| White | 28 | 15 |
| Asian | Data is updating | 4 |
| Hispanic | 60 | 56 |
| Two or More Races | 5 | 20 |
| American Indian | 1 | Data is updating |
Demographics Comparison: De queen vs Kearny
- A higher percentage of Black residents are in De queen at 6% compared to 5% in Kearny.
- De queen has a higher percentage of White residents at 28% compared to 15% in Kearny.
- In Kearny, the Asian population stands at 4%, greater than 0% in De queen.
- The Hispanic community is larger in De queen at 60% compared to 56% in Kearny.
- The percentage of residents identifying as two or more races is higher in Kearny at 20%, compared to 5% in De queen.
- A greater percentage of American Indian residents live in De queen at 1% compared to 0% in Kearny.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | De queen | Kearny |
|---|---|---|
| Mental Health Not Good | 20.2% | 15.0% |
| Physical Health Not Good | 17.2% | 11.5% |
| Depression | 24.7% | 19.3% |
| Smoking | 24.0% | 14.6% |
| Binge Drinking | 12.9% | 17.0% |
| Obesity | 44.1% | 26.4% |
| Disability Percentage | 12.0% | 8.0% |
Health Statistics Comparison: De queen vs Kearny
- More residents in De queen report poor mental health at 20.2% compared to 15.0% in Kearny.
- Depression is more prevalent in De queen at 24.7% compared to 19.3% in Kearny.
- Smoking is more prevalent in De queen at 24.0% compared to 14.6% in Kearny.
- More residents engage in binge drinking in Kearny at 17.0% compared to 12.9% in De queen.
- Obesity rates are higher in De queen at 44.1% compared to 26.4% in Kearny.
- Disability percentages are higher in De queen at 12.0% compared to 8.0% in Kearny.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | De queen | Kearny |
|---|---|---|
| No Schooling | 1.8% (108) | 2.3% (899) |
| High School Diploma | 15.0% (905) | 21.9% (8,719) |
| Less than High School | 46.5% (2,809) | 22.3% (8,901) |
| Bachelor's Degree and Higher | 7.0% (421) | 21.1% (8,419) |
Education Levels Comparison: De queen vs Kearny
- In Kearny, a larger percentage of residents lack formal schooling at 2.3% compared to 1.8% in De queen.
- In Kearny, the rate of residents with high school diplomas is higher at 21.9% compared to 15.0% in De queen.
- More residents in De queen have less than a high school education at 46.5% compared to 22.3% in Kearny.
- In Kearny, a larger share of residents have a bachelor's degree or higher at 21.1% 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.