Demographics details for Kearny, NJ vs Queenstown, MD
Population Overview
Compare main population characteristics in Kearny, NJ vs Queenstown, MD.
| Data | Kearny | Queenstown |
|---|---|---|
| Population | 39,862 | 741 |
| Median Age | 39.1 years | 35.3 years |
| Median Income | $81,307 | $101,964 |
| Married Families | 41.0% | 43.0% |
| Poverty Level | 11% | 5% |
| Unemployment Rate | 5.2 | 4.2 |
Population Comparison: Kearny vs Queenstown
- In Kearny, the population is higher at 39,862, compared to 741 in Queenstown.
- Residents in Kearny have a higher median age of 39.1 years compared to 35.3 years in Queenstown.
- Queenstown has a higher median income of $101,964, compared to $81,307 in Kearny.
- In Queenstown, the percentage of married families is higher at 43.0%, compared to 41.0% in Kearny.
- Kearny has a higher poverty level at 11% compared to 5% in Queenstown.
- The unemployment rate in Kearny is higher at 5.2%, compared to 4.2% in Queenstown.
Demographics
Demographics Kearny vs Queenstown provide insight into the diversity of the communities to compare.
| Demographic | Kearny | Queenstown |
|---|---|---|
| Black | 5 | 13 |
| White | 15 | 30 |
| Asian | 4 | Data is updating |
| Hispanic | 56 | 34 |
| Two or More Races | 20 | 21 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Kearny vs Queenstown
- In Queenstown, the percentage of Black residents is higher at 13% compared to 5% in Kearny.
- The percentage of White residents is higher in Queenstown at 30% compared to 15% in Kearny.
- The Asian population is larger in Kearny at 4% compared to 0% in Queenstown.
- The Hispanic community is larger in Kearny at 56% compared to 34% in Queenstown.
- The percentage of residents identifying as two or more races is higher in Queenstown at 21%, compared to 20% in Kearny.
- In Queenstown, the percentage of American Indian residents is higher at 2%, compared to 0% in Kearny.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kearny | Queenstown |
|---|---|---|
| Mental Health Not Good | 15.0% | 14.5% |
| Physical Health Not Good | 11.5% | 8.4% |
| Depression | 19.3% | 20.2% |
| Smoking | 14.6% | 12.0% |
| Binge Drinking | 17.0% | 17.8% |
| Obesity | 26.4% | 33.7% |
| Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Kearny vs Queenstown
- More residents in Kearny report poor mental health at 15.0% compared to 14.5% in Queenstown.
- Higher depression rates are seen in Queenstown at 20.2% versus 19.3% in Kearny.
- Smoking is more prevalent in Kearny at 14.6% compared to 12.0% in Queenstown.
- More residents engage in binge drinking in Queenstown at 17.8% compared to 17.0% in Kearny.
- Queenstown has higher obesity rates at 33.7% compared to 26.4% in Kearny.
- There is a higher percentage of disabled individuals in Queenstown at 11.0% 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 | Kearny | Queenstown |
|---|---|---|
| No Schooling | 2.3% (899) | 2.7% (20) |
| High School Diploma | 21.9% (8,719) | 17.8% (132) |
| Less than High School | 22.3% (8,901) | 14.6% (108) |
| Bachelor's Degree and Higher | 21.1% (8,419) | 28.3% (210) |
Education Levels Comparison: Kearny vs Queenstown
- In Queenstown, a larger percentage of residents lack formal schooling at 2.7% compared to 2.3% in Kearny.
- A higher percentage of residents in Kearny hold a high school diploma at 21.9% compared to 17.8% in Queenstown.
- More residents in Kearny have less than a high school education at 22.3% compared to 14.6% in Queenstown.
- In Queenstown, a larger share of residents have a bachelor's degree or higher at 28.3% compared to 21.1% in Kearny.
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.