Demographics details for Kearny, NJ vs Kaufman, TX
Population Overview
Compare main population characteristics in Kearny, NJ vs Kaufman, TX.
| Data | Kearny | Kaufman |
|---|---|---|
| Population | 39,862 | 172,366 |
| Median Age | 39.1 years | 34.6 years |
| Median Income | $81,307 | $84,075 |
| Married Families | 41.0% | 36.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 5.2 | 4.8 |
Population Comparison: Kearny vs Kaufman
- The population in Kaufman is higher at 172,366, compared to 39,862 in Kearny.
- Residents in Kearny have a higher median age of 39.1 years compared to 34.6 years in Kaufman.
- Kaufman has a higher median income of $84,075, compared to $81,307 in Kearny.
- A higher percentage of married families is found in Kearny at 41.0% compared to 36.0% in Kaufman.
- Kearny has a higher poverty level at 11% compared to 10% in Kaufman.
- The unemployment rate in Kearny is higher at 5.2%, compared to 4.8% in Kaufman.
Demographics
Demographics Kearny vs Kaufman provide insight into the diversity of the communities to compare.
| Demographic | Kearny | Kaufman |
|---|---|---|
| Black | 5 | 13 |
| White | 15 | 53 |
| Asian | 4 | 1 |
| Hispanic | 56 | 22 |
| Two or More Races | 20 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kearny vs Kaufman
- In Kaufman, the percentage of Black residents is higher at 13% compared to 5% in Kearny.
- The percentage of White residents is higher in Kaufman at 53% compared to 15% in Kearny.
- The Asian population is larger in Kearny at 4% compared to 1% in Kaufman.
- The Hispanic community is larger in Kearny at 56% compared to 22% in Kaufman.
- More residents identify as two or more races in Kearny at 20% compared to 11% in Kaufman.
- The percentage of American Indian residents is the same in both Kearny and Kaufman at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kearny | Kaufman |
|---|---|---|
| Mental Health Not Good | 15.0% | 16.8% |
| Physical Health Not Good | 11.5% | 11.4% |
| Depression | 19.3% | 22.6% |
| Smoking | 14.6% | 16.1% |
| Binge Drinking | 17.0% | 18.2% |
| Obesity | 26.4% | 36.6% |
| Disability Percentage | 8.0% | 9.0% |
Health Statistics Comparison: Kearny vs Kaufman
- In Kaufman, a higher percentage report poor mental health at 16.8% compared to 15.0% in Kearny.
- Higher depression rates are seen in Kaufman at 22.6% versus 19.3% in Kearny.
- Kaufman has a higher smoking rate at 16.1% compared to 14.6% in Kearny.
- More residents engage in binge drinking in Kaufman at 18.2% compared to 17.0% in Kearny.
- Kaufman has higher obesity rates at 36.6% compared to 26.4% in Kearny.
- There is a higher percentage of disabled individuals in Kaufman at 9.0% 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 | Kaufman |
|---|---|---|
| No Schooling | 2.3% (899) | 1.4% (2,482) |
| High School Diploma | 21.9% (8,719) | 12.9% (22,235) |
| Less than High School | 22.3% (8,901) | 14.2% (24,496) |
| Bachelor's Degree and Higher | 21.1% (8,419) | 13.1% (22,541) |
Education Levels Comparison: Kearny vs Kaufman
- A higher percentage of residents in Kearny have no formal schooling at 2.3% compared to 1.4% in Kaufman.
- A higher percentage of residents in Kearny hold a high school diploma at 21.9% compared to 12.9% in Kaufman.
- More residents in Kearny have less than a high school education at 22.3% compared to 14.2% in Kaufman.
- A higher percentage of residents in Kearny hold a bachelor's degree or higher at 21.1% compared to 13.1% in Kaufman.
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.