Demographics details for Berkeley, CA vs Ellsworth, WI
Population Overview
Compare main population characteristics in Berkeley, CA vs Ellsworth, WI.
| Data | Berkeley | Ellsworth |
|---|---|---|
| Population | 118,950 | 3,306 |
| Median Age | 32.5 years | 41.8 years |
| Median Income | $104,716 | $72,326 |
| Married Families | 31.0% | 38.0% |
| Poverty Level | 14% | 9% |
| Unemployment Rate | 4.5 | 3.0 |
Population Comparison: Berkeley vs Ellsworth
- In Berkeley, the population is higher at 118,950, compared to 3,306 in Ellsworth.
- The median age in Ellsworth is higher at 41.8 years, compared to 32.5 years in Berkeley.
- Berkeley has a higher median income of $104,716 compared to $72,326 in Ellsworth.
- In Ellsworth, the percentage of married families is higher at 38.0%, compared to 31.0% in Berkeley.
- Berkeley has a higher poverty level at 14% compared to 9% in Ellsworth.
- The unemployment rate in Berkeley is higher at 4.5%, compared to 3.0% in Ellsworth.
Demographics
Demographics Berkeley vs Ellsworth provide insight into the diversity of the communities to compare.
| Demographic | Berkeley | Ellsworth |
|---|---|---|
| Black | 8 | 1 |
| White | 48 | 85 |
| Asian | 21 | Data is updating |
| Hispanic | 12 | 5 |
| Two or More Races | 10 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Berkeley vs Ellsworth
- A higher percentage of Black residents are in Berkeley at 8% compared to 1% in Ellsworth.
- The percentage of White residents is higher in Ellsworth at 85% compared to 48% in Berkeley.
- The Asian population is larger in Berkeley at 21% compared to 0% in Ellsworth.
- The Hispanic community is larger in Berkeley at 12% compared to 5% in Ellsworth.
- More residents identify as two or more races in Berkeley at 10% compared to 9% in Ellsworth.
- A greater percentage of American Indian residents live in Berkeley at 1% compared to 0% in Ellsworth.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berkeley | Ellsworth |
|---|---|---|
| Mental Health Not Good | 15.0% | 14.4% |
| Physical Health Not Good | 8.6% | 9.2% |
| Depression | 18.8% | 22.9% |
| Smoking | 9.0% | 15.1% |
| Binge Drinking | 16.1% | 25.6% |
| Obesity | 26.8% | 34.1% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Berkeley vs Ellsworth
- More residents in Berkeley report poor mental health at 15.0% compared to 14.4% in Ellsworth.
- Higher depression rates are seen in Ellsworth at 22.9% versus 18.8% in Berkeley.
- Ellsworth has a higher smoking rate at 15.1% compared to 9.0% in Berkeley.
- More residents engage in binge drinking in Ellsworth at 25.6% compared to 16.1% in Berkeley.
- Ellsworth has higher obesity rates at 34.1% compared to 26.8% in Berkeley.
- There is a higher percentage of disabled individuals in Ellsworth at 14.0% 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 | Ellsworth |
|---|---|---|
| No Schooling | 0.7% (780) | 0.3% (9) |
| High School Diploma | 3.9% (4,580) | 21.3% (705) |
| Less than High School | 4.0% (4,800) | 13.8% (456) |
| Bachelor's Degree and Higher | 47.8% (56,907) | 12.6% (416) |
Education Levels Comparison: Berkeley vs Ellsworth
- A higher percentage of residents in Berkeley have no formal schooling at 0.7% compared to 0.3% in Ellsworth.
- In Ellsworth, the rate of residents with high school diplomas is higher at 21.3% compared to 3.9% in Berkeley.
- The percentage of residents with less than a high school education is higher in Ellsworth at 13.8%, 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 12.6% in Ellsworth.
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.