Demographics details for Kearny, NJ vs Buckner, KY
Population Overview
Compare main population characteristics in Kearny, NJ vs Buckner, KY.
| Data | Kearny | Buckner |
|---|---|---|
| Population | 39,862 | 3,658 |
| Median Age | 39.1 years | 37.6 years |
| Median Income | $81,307 | $141,538 |
| Married Families | 41.0% | 54.0% |
| Poverty Level | 11% | Data is updating |
| Unemployment Rate | 5.2 | 3.2 |
Population Comparison: Kearny vs Buckner
- In Kearny, the population is higher at 39,862, compared to 3,658 in Buckner.
- Residents in Kearny have a higher median age of 39.1 years compared to 37.6 years in Buckner.
- Buckner has a higher median income of $141,538, compared to $81,307 in Kearny.
- In Buckner, the percentage of married families is higher at 54.0%, compared to 41.0% in Kearny.
- Kearny has a higher poverty level at 11% compared to 0% in Buckner.
- The unemployment rate in Kearny is higher at 5.2%, compared to 3.2% in Buckner.
Demographics
Demographics Kearny vs Buckner provide insight into the diversity of the communities to compare.
| Demographic | Kearny | Buckner |
|---|---|---|
| Black | 5 | 6 |
| White | 15 | 84 |
| Asian | 4 | Data is updating |
| Hispanic | 56 | 4 |
| Two or More Races | 20 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kearny vs Buckner
- In Buckner, the percentage of Black residents is higher at 6% compared to 5% in Kearny.
- The percentage of White residents is higher in Buckner at 84% compared to 15% in Kearny.
- The Asian population is larger in Kearny at 4% compared to 0% in Buckner.
- The Hispanic community is larger in Kearny at 56% compared to 4% in Buckner.
- More residents identify as two or more races in Kearny at 20% compared to 6% in Buckner.
- The percentage of American Indian residents is the same in both Kearny and Buckner at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kearny | Buckner |
|---|---|---|
| Mental Health Not Good | 15.0% | 14.3% |
| Physical Health Not Good | 11.5% | 10.7% |
| Depression | 19.3% | 21.0% |
| Smoking | 14.6% | 17.3% |
| Binge Drinking | 17.0% | 19.0% |
| Obesity | 26.4% | 33.8% |
| Disability Percentage | 8.0% | 5.0% |
Health Statistics Comparison: Kearny vs Buckner
- More residents in Kearny report poor mental health at 15.0% compared to 14.3% in Buckner.
- Higher depression rates are seen in Buckner at 21.0% versus 19.3% in Kearny.
- Buckner has a higher smoking rate at 17.3% compared to 14.6% in Kearny.
- More residents engage in binge drinking in Buckner at 19.0% compared to 17.0% in Kearny.
- Buckner has higher obesity rates at 33.8% compared to 26.4% in Kearny.
- Disability percentages are higher in Kearny at 8.0% compared to 5.0% in Buckner.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kearny | Buckner |
|---|---|---|
| No Schooling | 2.3% (899) | 0.6% (21) |
| High School Diploma | 21.9% (8,719) | 3.3% (121) |
| Less than High School | 22.3% (8,901) | 8.7% (320) |
| Bachelor's Degree and Higher | 21.1% (8,419) | 36.6% (1,339) |
Education Levels Comparison: Kearny vs Buckner
- A higher percentage of residents in Kearny have no formal schooling at 2.3% compared to 0.6% in Buckner.
- A higher percentage of residents in Kearny hold a high school diploma at 21.9% compared to 3.3% in Buckner.
- More residents in Kearny have less than a high school education at 22.3% compared to 8.7% in Buckner.
- In Buckner, a larger share of residents have a bachelor's degree or higher at 36.6% 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.