Demographics details for Berkeley, CA vs Kearny, NJ
Population Overview
Compare main population characteristics in Berkeley, CA vs Kearny, NJ.
| Data | Berkeley | Kearny |
|---|---|---|
| Population | 118,950 | 39,862 |
| Median Age | 32.5 years | 39.1 years |
| Median Income | $104,716 | $81,307 |
| Married Families | 31.0% | 41.0% |
| Poverty Level | 14% | 11% |
| Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Berkeley vs Kearny
- In Berkeley, the population is higher at 118,950, compared to 39,862 in Kearny.
- The median age in Kearny is higher at 39.1 years, compared to 32.5 years in Berkeley.
- Berkeley has a higher median income of $104,716 compared to $81,307 in Kearny.
- In Kearny, the percentage of married families is higher at 41.0%, compared to 31.0% in Berkeley.
- Berkeley has a higher poverty level at 14% compared to 11% in Kearny.
- Kearny has a higher unemployment rate at 5.2% compared to 4.5% in Berkeley.
Demographics
Demographics Berkeley vs Kearny provide insight into the diversity of the communities to compare.
| Demographic | Berkeley | Kearny |
|---|---|---|
| Black | 8 | 5 |
| White | 48 | 15 |
| Asian | 21 | 4 |
| Hispanic | 12 | 56 |
| Two or More Races | 10 | 20 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Berkeley vs Kearny
- A higher percentage of Black residents are in Berkeley at 8% compared to 5% in Kearny.
- Berkeley has a higher percentage of White residents at 48% compared to 15% in Kearny.
- The Asian population is larger in Berkeley at 21% compared to 4% in Kearny.
- Kearny has a higher percentage of Hispanic residents at 56%, compared to 12% in Berkeley.
- The percentage of residents identifying as two or more races is higher in Kearny at 20%, compared to 10% in Berkeley.
- A greater percentage of American Indian residents live in Berkeley at 1% compared to 0% in Kearny.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berkeley | Kearny |
|---|---|---|
| Mental Health Not Good | 15.0% | 15.0% |
| Physical Health Not Good | 8.6% | 11.5% |
| Depression | 18.8% | 19.3% |
| Smoking | 9.0% | 14.6% |
| Binge Drinking | 16.1% | 17.0% |
| Obesity | 26.8% | 26.4% |
| Disability Percentage | 10.0% | 8.0% |
Health Statistics Comparison: Berkeley vs Kearny
- Poor mental health levels are equal in both Berkeley and Kearny at 15.0%.
- Higher depression rates are seen in Kearny at 19.3% versus 18.8% in Berkeley.
- Kearny has a higher smoking rate at 14.6% compared to 9.0% in Berkeley.
- More residents engage in binge drinking in Kearny at 17.0% compared to 16.1% in Berkeley.
- Obesity rates are higher in Berkeley at 26.8% compared to 26.4% in Kearny.
- Disability percentages are higher in Berkeley at 10.0% 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 | Berkeley | Kearny |
|---|---|---|
| No Schooling | 0.7% (780) | 2.3% (899) |
| High School Diploma | 3.9% (4,580) | 21.9% (8,719) |
| Less than High School | 4.0% (4,800) | 22.3% (8,901) |
| Bachelor's Degree and Higher | 47.8% (56,907) | 21.1% (8,419) |
Education Levels Comparison: Berkeley vs Kearny
- In Kearny, a larger percentage of residents lack formal schooling at 2.3% compared to 0.7% in Berkeley.
- In Kearny, the rate of residents with high school diplomas is higher at 21.9% compared to 3.9% in Berkeley.
- The percentage of residents with less than a high school education is higher in Kearny at 22.3%, compared to 4.0% in Berkeley.
- A higher percentage of residents in Berkeley hold a bachelor's degree or higher at 47.8% 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.