Demographics details for Green bay, WI vs Berkeley, CA
Population Overview
Compare main population characteristics in Green bay, WI vs Berkeley, CA.
| Data | Green bay | Berkeley |
|---|---|---|
| Population | 106,095 | 118,950 |
| Median Age | 35.6 years | 32.5 years |
| Median Income | $59,174 | $104,716 |
| Married Families | 34.0% | 31.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Green bay vs Berkeley
- The population in Berkeley is higher at 118,950, compared to 106,095 in Green bay.
- Residents in Green bay have a higher median age of 35.6 years compared to 32.5 years in Berkeley.
- Berkeley has a higher median income of $104,716, compared to $59,174 in Green bay.
- A higher percentage of married families is found in Green bay at 34.0% compared to 31.0% in Berkeley.
- The poverty level is higher in Berkeley at 14%, compared to 10% in Green bay.
- Berkeley has a higher unemployment rate at 4.5% compared to 3.2% in Green bay.
Demographics
Demographics Green bay vs Berkeley provide insight into the diversity of the communities to compare.
| Demographic | Green bay | Berkeley |
|---|---|---|
| Black | 4 | 8 |
| White | 61 | 48 |
| Asian | 4 | 21 |
| Hispanic | 17 | 12 |
| Two or More Races | 11 | 10 |
| American Indian | 3 | 1 |
Demographics Comparison: Green bay vs Berkeley
- In Berkeley, the percentage of Black residents is higher at 8% compared to 4% in Green bay.
- Green bay has a higher percentage of White residents at 61% compared to 48% in Berkeley.
- In Berkeley, the Asian population stands at 21%, greater than 4% in Green bay.
- The Hispanic community is larger in Green bay at 17% compared to 12% in Berkeley.
- More residents identify as two or more races in Green bay at 11% compared to 10% in Berkeley.
- A greater percentage of American Indian residents live in Green bay at 3% compared to 1% in Berkeley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green bay | Berkeley |
|---|---|---|
| Mental Health Not Good | 15.3% | 15.0% |
| Physical Health Not Good | 11.0% | 8.6% |
| Depression | 22.1% | 18.8% |
| Smoking | 16.8% | 9.0% |
| Binge Drinking | 22.8% | 16.1% |
| Obesity | 38.0% | 26.8% |
| Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Green bay vs Berkeley
- More residents in Green bay report poor mental health at 15.3% compared to 15.0% in Berkeley.
- Depression is more prevalent in Green bay at 22.1% compared to 18.8% in Berkeley.
- Smoking is more prevalent in Green bay at 16.8% compared to 9.0% in Berkeley.
- Binge drinking is more common in Green bay at 22.8% compared to 16.1% in Berkeley.
- Obesity rates are higher in Green bay at 38.0% compared to 26.8% in Berkeley.
- Disability percentages are higher in Green bay 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 | Green bay | Berkeley |
|---|---|---|
| No Schooling | 1.7% (1,796) | 0.7% (780) |
| High School Diploma | 18.1% (19,183) | 3.9% (4,580) |
| Less than High School | 14.0% (14,805) | 4.0% (4,800) |
| Bachelor's Degree and Higher | 16.6% (17,606) | 47.8% (56,907) |
Education Levels Comparison: Green bay vs Berkeley
- A higher percentage of residents in Green bay have no formal schooling at 1.7% compared to 0.7% in Berkeley.
- A higher percentage of residents in Green bay hold a high school diploma at 18.1% compared to 3.9% in Berkeley.
- More residents in Green bay have less than a high school education at 14.0% compared to 4.0% in Berkeley.
- In Berkeley, a larger share of residents have a bachelor's degree or higher at 47.8% compared to 16.6% in Green bay.
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.