Demographics details for Thousand oaks, CA vs Kearny, NJ
Population Overview
Compare main population characteristics in Thousand oaks, CA vs Kearny, NJ.
Data | Thousand oaks | Kearny |
---|---|---|
Population | 124,265 | 39,862 |
Median Age | 44.4 years | 39.1 years |
Median Income | $125,399 | $81,307 |
Married Families | 46.0% | 41.0% |
Poverty Level | 7% | 11% |
Unemployment Rate | 4.2 | 5.2 |
Population Comparison: Thousand oaks vs Kearny
- In Thousand oaks, the population is higher at 124,265, compared to 39,862 in Kearny.
- Residents in Thousand oaks have a higher median age of 44.4 years compared to 39.1 years in Kearny.
- Thousand oaks has a higher median income of $125,399 compared to $81,307 in Kearny.
- A higher percentage of married families is found in Thousand oaks at 46.0% compared to 41.0% in Kearny.
- The poverty level is higher in Kearny at 11%, compared to 7% in Thousand oaks.
- Kearny has a higher unemployment rate at 5.2% compared to 4.2% in Thousand oaks.
Demographics
Demographics Thousand oaks vs Kearny provide insight into the diversity of the communities to compare.
Demographic | Thousand oaks | Kearny |
---|---|---|
Black | 2 | 5 |
White | 56 | 15 |
Asian | 9 | 4 |
Hispanic | 20 | 56 |
Two or More Races | 12 | 20 |
American Indian | 1 | Data is updating |
Demographics Comparison: Thousand oaks vs Kearny
- In Kearny, the percentage of Black residents is higher at 5% compared to 2% in Thousand oaks.
- Thousand oaks has a higher percentage of White residents at 56% compared to 15% in Kearny.
- The Asian population is larger in Thousand oaks at 9% compared to 4% in Kearny.
- Kearny has a higher percentage of Hispanic residents at 56%, compared to 20% in Thousand oaks.
- The percentage of residents identifying as two or more races is higher in Kearny at 20%, compared to 12% in Thousand oaks.
- A greater percentage of American Indian residents live in Thousand oaks at 1% compared to 0% in Kearny.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Thousand oaks | Kearny |
---|---|---|
Mental Health Not Good | 13.7% | 15.0% |
Physical Health Not Good | 8.6% | 11.5% |
Depression | 17.9% | 19.3% |
Smoking | 9.2% | 14.6% |
Binge Drinking | 17.8% | 17.0% |
Obesity | 23.9% | 26.4% |
Disability Percentage | 10.0% | 8.0% |
Health Statistics Comparison: Thousand oaks vs Kearny
- In Kearny, a higher percentage report poor mental health at 15.0% compared to 13.7% in Thousand oaks.
- Higher depression rates are seen in Kearny at 19.3% versus 17.9% in Thousand oaks.
- Kearny has a higher smoking rate at 14.6% compared to 9.2% in Thousand oaks.
- Binge drinking is more common in Thousand oaks at 17.8% compared to 17.0% in Kearny.
- Kearny has higher obesity rates at 26.4% compared to 23.9% in Thousand oaks.
- Disability percentages are higher in Thousand oaks 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 | Thousand oaks | Kearny |
---|---|---|
No Schooling | 0.7% (907) | 2.3% (899) |
High School Diploma | 9.4% (11,713) | 21.9% (8,719) |
Less than High School | 8.3% (10,260) | 22.3% (8,901) |
Bachelor's Degree and Higher | 35.8% (44,456) | 21.1% (8,419) |
Education Levels Comparison: Thousand oaks vs Kearny
- In Kearny, a larger percentage of residents lack formal schooling at 2.3% compared to 0.7% in Thousand oaks.
- In Kearny, the rate of residents with high school diplomas is higher at 21.9% compared to 9.4% in Thousand oaks.
- The percentage of residents with less than a high school education is higher in Kearny at 22.3%, compared to 8.3% in Thousand oaks.
- A higher percentage of residents in Thousand oaks hold a bachelor's degree or higher at 35.8% 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.