Demographics details for Kearny, NJ vs Mount vernon, KY
Population Overview
Compare main population characteristics in Kearny, NJ vs Mount vernon, KY.
| Data | Kearny | Mount vernon |
|---|---|---|
| Population | 39,862 | 2,472 |
| Median Age | 39.1 years | 45.4 years |
| Median Income | $81,307 | $34,550 |
| Married Families | 41.0% | 36.0% |
| Poverty Level | 11% | 15% |
| Unemployment Rate | 5.2 | 4.2 |
Population Comparison: Kearny vs Mount vernon
- In Kearny, the population is higher at 39,862, compared to 2,472 in Mount vernon.
- The median age in Mount vernon is higher at 45.4 years, compared to 39.1 years in Kearny.
- Kearny has a higher median income of $81,307 compared to $34,550 in Mount vernon.
- A higher percentage of married families is found in Kearny at 41.0% compared to 36.0% in Mount vernon.
- The poverty level is higher in Mount vernon at 15%, compared to 11% in Kearny.
- The unemployment rate in Kearny is higher at 5.2%, compared to 4.2% in Mount vernon.
Demographics
Demographics Kearny vs Mount vernon provide insight into the diversity of the communities to compare.
| Demographic | Kearny | Mount vernon |
|---|---|---|
| Black | 5 | Data is updating |
| White | 15 | 94 |
| Asian | 4 | Data is updating |
| Hispanic | 56 | Data is updating |
| Two or More Races | 20 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kearny vs Mount vernon
- A higher percentage of Black residents are in Kearny at 5% compared to 0% in Mount vernon.
- The percentage of White residents is higher in Mount vernon at 94% compared to 15% in Kearny.
- The Asian population is larger in Kearny at 4% compared to 0% in Mount vernon.
- The Hispanic community is larger in Kearny at 56% compared to 0% in Mount vernon.
- More residents identify as two or more races in Kearny at 20% compared to 6% in Mount vernon.
- The percentage of American Indian residents is the same in both Kearny and Mount vernon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kearny | Mount vernon |
|---|---|---|
| Mental Health Not Good | 15.0% | 21.3% |
| Physical Health Not Good | 11.5% | 16.3% |
| Depression | 19.3% | 30.7% |
| Smoking | 14.6% | 26.1% |
| Binge Drinking | 17.0% | 14.3% |
| Obesity | 26.4% | 43.2% |
| Disability Percentage | 8.0% | 23.0% |
Health Statistics Comparison: Kearny vs Mount vernon
- In Mount vernon, a higher percentage report poor mental health at 21.3% compared to 15.0% in Kearny.
- Higher depression rates are seen in Mount vernon at 30.7% versus 19.3% in Kearny.
- Mount vernon has a higher smoking rate at 26.1% compared to 14.6% in Kearny.
- Binge drinking is more common in Kearny at 17.0% compared to 14.3% in Mount vernon.
- Mount vernon has higher obesity rates at 43.2% compared to 26.4% in Kearny.
- There is a higher percentage of disabled individuals in Mount vernon at 23.0% 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 | Mount vernon |
|---|---|---|
| No Schooling | 2.3% (899) | 0.5% (12) |
| High School Diploma | 21.9% (8,719) | 17.4% (431) |
| Less than High School | 22.3% (8,901) | 32.8% (810) |
| Bachelor's Degree and Higher | 21.1% (8,419) | 7.4% (183) |
Education Levels Comparison: Kearny vs Mount vernon
- A higher percentage of residents in Kearny have no formal schooling at 2.3% compared to 0.5% in Mount vernon.
- A higher percentage of residents in Kearny hold a high school diploma at 21.9% compared to 17.4% in Mount vernon.
- The percentage of residents with less than a high school education is higher in Mount vernon at 32.8%, compared to 22.3% in Kearny.
- A higher percentage of residents in Kearny hold a bachelor's degree or higher at 21.1% compared to 7.4% in Mount vernon.
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.