Demographics details for Berkeley, CA vs Jefferson, WI
Population Overview
Compare main population characteristics in Berkeley, CA vs Jefferson, WI.
| Data | Berkeley | Jefferson |
|---|---|---|
| Population | 118,950 | 7,649 |
| Median Age | 32.5 years | 44.8 years |
| Median Income | $104,716 | $69,844 |
| Married Families | 31.0% | 37.0% |
| Poverty Level | 14% | 5% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Berkeley vs Jefferson
- In Berkeley, the population is higher at 118,950, compared to 7,649 in Jefferson.
- The median age in Jefferson is higher at 44.8 years, compared to 32.5 years in Berkeley.
- Berkeley has a higher median income of $104,716 compared to $69,844 in Jefferson.
- In Jefferson, the percentage of married families is higher at 37.0%, compared to 31.0% in Berkeley.
- Berkeley has a higher poverty level at 14% compared to 5% in Jefferson.
- The unemployment rate in Berkeley is higher at 4.5%, compared to 3.5% in Jefferson.
Demographics
Demographics Berkeley vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Berkeley | Jefferson |
|---|---|---|
| Black | 8 | 2 |
| White | 48 | 79 |
| Asian | 21 | Data is updating |
| Hispanic | 12 | 15 |
| Two or More Races | 10 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Berkeley vs Jefferson
- A higher percentage of Black residents are in Berkeley at 8% compared to 2% in Jefferson.
- The percentage of White residents is higher in Jefferson at 79% compared to 48% in Berkeley.
- The Asian population is larger in Berkeley at 21% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 15%, compared to 12% in Berkeley.
- More residents identify as two or more races in Berkeley at 10% compared to 4% in Jefferson.
- A greater percentage of American Indian residents live in Berkeley at 1% compared to 0% in Jefferson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berkeley | Jefferson |
|---|---|---|
| Mental Health Not Good | 15.0% | 14.7% |
| Physical Health Not Good | 8.6% | 9.8% |
| Depression | 18.8% | 22.9% |
| Smoking | 9.0% | 15.3% |
| Binge Drinking | 16.1% | 24.2% |
| Obesity | 26.8% | 33.7% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Berkeley vs Jefferson
- More residents in Berkeley report poor mental health at 15.0% compared to 14.7% in Jefferson.
- Higher depression rates are seen in Jefferson at 22.9% versus 18.8% in Berkeley.
- Jefferson has a higher smoking rate at 15.3% compared to 9.0% in Berkeley.
- More residents engage in binge drinking in Jefferson at 24.2% compared to 16.1% in Berkeley.
- Jefferson has higher obesity rates at 33.7% compared to 26.8% in Berkeley.
- There is a higher percentage of disabled individuals in Jefferson at 13.0% compared to 10.0% in Berkeley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Berkeley | Jefferson |
|---|---|---|
| No Schooling | 0.7% (780) | 2.8% (215) |
| High School Diploma | 3.9% (4,580) | 24.4% (1,865) |
| Less than High School | 4.0% (4,800) | 13.3% (1,019) |
| Bachelor's Degree and Higher | 47.8% (56,907) | 16.4% (1,254) |
Education Levels Comparison: Berkeley vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.8% compared to 0.7% in Berkeley.
- In Jefferson, the rate of residents with high school diplomas is higher at 24.4% compared to 3.9% in Berkeley.
- The percentage of residents with less than a high school education is higher in Jefferson at 13.3%, 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 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.