Demographics details for Kearny, NJ vs Fishing creek, MD
Population Overview
Compare main population characteristics in Kearny, NJ vs Fishing creek, MD.
| Data | Kearny | Fishing creek |
|---|---|---|
| Population | 39,862 | 235 |
| Median Age | 39.1 years | 55.9 years |
| Median Income | $81,307 | $76,250 |
| Married Families | 41.0% | 58.0% |
| Poverty Level | 11% | Data is updating |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Kearny vs Fishing creek
- In Kearny, the population is higher at 39,862, compared to 235 in Fishing creek.
- The median age in Fishing creek is higher at 55.9 years, compared to 39.1 years in Kearny.
- Kearny has a higher median income of $81,307 compared to $76,250 in Fishing creek.
- In Fishing creek, the percentage of married families is higher at 58.0%, compared to 41.0% in Kearny.
- Kearny has a higher poverty level at 11% compared to 0% in Fishing creek.
- The unemployment rate in Kearny is higher at 5.2%, compared to 3.5% in Fishing creek.
Demographics
Demographics Kearny vs Fishing creek provide insight into the diversity of the communities to compare.
| Demographic | Kearny | Fishing creek |
|---|---|---|
| Black | 5 | Data is updating |
| White | 15 | 100 |
| Asian | 4 | Data is updating |
| Hispanic | 56 | Data is updating |
| Two or More Races | 20 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kearny vs Fishing creek
- A higher percentage of Black residents are in Kearny at 5% compared to 0% in Fishing creek.
- The percentage of White residents is higher in Fishing creek at 100% compared to 15% in Kearny.
- The Asian population is larger in Kearny at 4% compared to 0% in Fishing creek.
- The Hispanic community is larger in Kearny at 56% compared to 0% in Fishing creek.
- More residents identify as two or more races in Kearny at 20% compared to 0% in Fishing creek.
- The percentage of American Indian residents is the same in both Kearny and Fishing creek at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kearny | Fishing creek |
|---|---|---|
| Mental Health Not Good | 15.0% | 15.3% |
| Physical Health Not Good | 11.5% | 9.6% |
| Depression | 19.3% | 21.2% |
| Smoking | 14.6% | 15.1% |
| Binge Drinking | 17.0% | 16.8% |
| Obesity | 26.4% | 33.1% |
| Disability Percentage | 8.0% | 28.0% |
Health Statistics Comparison: Kearny vs Fishing creek
- In Fishing creek, a higher percentage report poor mental health at 15.3% compared to 15.0% in Kearny.
- Higher depression rates are seen in Fishing creek at 21.2% versus 19.3% in Kearny.
- Fishing creek has a higher smoking rate at 15.1% compared to 14.6% in Kearny.
- Binge drinking is more common in Kearny at 17.0% compared to 16.8% in Fishing creek.
- Fishing creek has higher obesity rates at 33.1% compared to 26.4% in Kearny.
- There is a higher percentage of disabled individuals in Fishing creek at 28.0% 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 | Fishing creek |
|---|---|---|
| No Schooling | 2.3% (899) | 0.0% (Data is updating) |
| High School Diploma | 21.9% (8,719) | 34.5% (81) |
| Less than High School | 22.3% (8,901) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 21.1% (8,419) | 16.2% (38) |
Education Levels Comparison: Kearny vs Fishing creek
- A higher percentage of residents in Kearny have no formal schooling at 2.3% compared to 0.0% in Fishing creek.
- In Fishing creek, the rate of residents with high school diplomas is higher at 34.5% compared to 21.9% in Kearny.
- More residents in Kearny have less than a high school education at 22.3% compared to 0.0% in Fishing creek.
- A higher percentage of residents in Kearny hold a bachelor's degree or higher at 21.1% compared to 16.2% in Fishing creek.
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.