Demographics details for Kearny, NJ vs Big bear lake, CA
Population Overview
Compare main population characteristics in Kearny, NJ vs Big bear lake, CA.
Data | Kearny | Big bear lake |
---|---|---|
Population | 39,862 | 5,031 |
Median Age | 39.1 years | 47.5 years |
Median Income | $81,307 | $70,020 |
Married Families | 41.0% | 42.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 5.2 | 5.0 |
Population Comparison: Kearny vs Big bear lake
- In Kearny, the population is higher at 39,862, compared to 5,031 in Big bear lake.
- The median age in Big bear lake is higher at 47.5 years, compared to 39.1 years in Kearny.
- Kearny has a higher median income of $81,307 compared to $70,020 in Big bear lake.
- In Big bear lake, the percentage of married families is higher at 42.0%, compared to 41.0% in Kearny.
- Kearny has a higher poverty level at 11% compared to 10% in Big bear lake.
- The unemployment rate in Kearny is higher at 5.2%, compared to 5.0% in Big bear lake.
Demographics
Demographics Kearny vs Big bear lake provide insight into the diversity of the communities to compare.
Demographic | Kearny | Big bear lake |
---|---|---|
Black | 5 | Data is updating |
White | 15 | 50 |
Asian | 4 | 3 |
Hispanic | 56 | 30 |
Two or More Races | 20 | 16 |
American Indian | Data is updating | 1 |
Demographics Comparison: Kearny vs Big bear lake
- A higher percentage of Black residents are in Kearny at 5% compared to 0% in Big bear lake.
- The percentage of White residents is higher in Big bear lake at 50% compared to 15% in Kearny.
- The Asian population is larger in Kearny at 4% compared to 3% in Big bear lake.
- The Hispanic community is larger in Kearny at 56% compared to 30% in Big bear lake.
- More residents identify as two or more races in Kearny at 20% compared to 16% in Big bear lake.
- In Big bear lake, the percentage of American Indian residents is higher at 1%, compared to 0% in Kearny.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kearny | Big bear lake |
---|---|---|
Mental Health Not Good | 15.0% | 17.4% |
Physical Health Not Good | 11.5% | 12.1% |
Depression | 19.3% | 20.5% |
Smoking | 14.6% | 14.1% |
Binge Drinking | 17.0% | 17.0% |
Obesity | 26.4% | 37.0% |
Disability Percentage | 8.0% | 9.0% |
Health Statistics Comparison: Kearny vs Big bear lake
- In Big bear lake, a higher percentage report poor mental health at 17.4% compared to 15.0% in Kearny.
- Higher depression rates are seen in Big bear lake at 20.5% versus 19.3% in Kearny.
- Smoking is more prevalent in Kearny at 14.6% compared to 14.1% in Big bear lake.
- Binge drinking rates are similar in both Kearny and Big bear lake at 17.0%.
- Big bear lake has higher obesity rates at 37.0% compared to 26.4% in Kearny.
- There is a higher percentage of disabled individuals in Big bear lake 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 | Big bear lake |
---|---|---|
No Schooling | 2.3% (899) | 0.7% (37) |
High School Diploma | 21.9% (8,719) | 16.4% (825) |
Less than High School | 22.3% (8,901) | 12.6% (634) |
Bachelor's Degree and Higher | 21.1% (8,419) | 25.7% (1,294) |
Education Levels Comparison: Kearny vs Big bear lake
- A higher percentage of residents in Kearny have no formal schooling at 2.3% compared to 0.7% in Big bear lake.
- A higher percentage of residents in Kearny hold a high school diploma at 21.9% compared to 16.4% in Big bear lake.
- More residents in Kearny have less than a high school education at 22.3% compared to 12.6% in Big bear lake.
- In Big bear lake, a larger share of residents have a bachelor's degree or higher at 25.7% 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.