Demographics details for Thousand oaks, CA vs Jefferson, WI
Population Overview
Compare main population characteristics in Thousand oaks, CA vs Jefferson, WI.
Data | Thousand oaks | Jefferson |
---|---|---|
Population | 124,265 | 7,649 |
Median Age | 44.4 years | 44.8 years |
Median Income | $125,399 | $69,844 |
Married Families | 46.0% | 37.0% |
Poverty Level | 7% | 5% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Thousand oaks vs Jefferson
- In Thousand oaks, the population is higher at 124,265, compared to 7,649 in Jefferson.
- The median age in Jefferson is higher at 44.8 years, compared to 44.4 years in Thousand oaks.
- Thousand oaks has a higher median income of $125,399 compared to $69,844 in Jefferson.
- A higher percentage of married families is found in Thousand oaks at 46.0% compared to 37.0% in Jefferson.
- Thousand oaks has a higher poverty level at 7% compared to 5% in Jefferson.
- The unemployment rate in Thousand oaks is higher at 4.2%, compared to 3.5% in Jefferson.
Demographics
Demographics Thousand oaks vs Jefferson provide insight into the diversity of the communities to compare.
Demographic | Thousand oaks | Jefferson |
---|---|---|
Black | 2 | 2 |
White | 56 | 79 |
Asian | 9 | Data is updating |
Hispanic | 20 | 15 |
Two or More Races | 12 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Thousand oaks vs Jefferson
- The percentage of Black residents is the same in both Thousand oaks and Jefferson at 2%.
- The percentage of White residents is higher in Jefferson at 79% compared to 56% in Thousand oaks.
- The Asian population is larger in Thousand oaks at 9% compared to 0% in Jefferson.
- The Hispanic community is larger in Thousand oaks at 20% compared to 15% in Jefferson.
- More residents identify as two or more races in Thousand oaks at 12% compared to 4% in Jefferson.
- A greater percentage of American Indian residents live in Thousand oaks at 1% compared to 0% in Jefferson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Thousand oaks | Jefferson |
---|---|---|
Mental Health Not Good | 13.7% | 14.7% |
Physical Health Not Good | 8.6% | 9.8% |
Depression | 17.9% | 22.9% |
Smoking | 9.2% | 15.3% |
Binge Drinking | 17.8% | 24.2% |
Obesity | 23.9% | 33.7% |
Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Thousand oaks vs Jefferson
- In Jefferson, a higher percentage report poor mental health at 14.7% compared to 13.7% in Thousand oaks.
- Higher depression rates are seen in Jefferson at 22.9% versus 17.9% in Thousand oaks.
- Jefferson has a higher smoking rate at 15.3% compared to 9.2% in Thousand oaks.
- More residents engage in binge drinking in Jefferson at 24.2% compared to 17.8% in Thousand oaks.
- Jefferson has higher obesity rates at 33.7% compared to 23.9% in Thousand oaks.
- There is a higher percentage of disabled individuals in Jefferson at 13.0% compared to 10.0% in Thousand oaks.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Thousand oaks | Jefferson |
---|---|---|
No Schooling | 0.7% (907) | 2.8% (215) |
High School Diploma | 9.4% (11,713) | 24.4% (1,865) |
Less than High School | 8.3% (10,260) | 13.3% (1,019) |
Bachelor's Degree and Higher | 35.8% (44,456) | 16.4% (1,254) |
Education Levels Comparison: Thousand oaks vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.8% compared to 0.7% in Thousand oaks.
- In Jefferson, the rate of residents with high school diplomas is higher at 24.4% compared to 9.4% in Thousand oaks.
- The percentage of residents with less than a high school education is higher in Jefferson at 13.3%, 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 16.4% in Jefferson.
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.