Demographics details for Green bay, WI vs Covina, CA
Population Overview
Compare main population characteristics in Green bay, WI vs Covina, CA.
| Data | Green bay | Covina |
|---|---|---|
| Population | 106,095 | 49,489 |
| Median Age | 35.6 years | 37.6 years |
| Median Income | $59,174 | $89,650 |
| Married Families | 34.0% | 38.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.2 | 6.0 |
Population Comparison: Green bay vs Covina
- In Green bay, the population is higher at 106,095, compared to 49,489 in Covina.
- The median age in Covina is higher at 37.6 years, compared to 35.6 years in Green bay.
- Covina has a higher median income of $89,650, compared to $59,174 in Green bay.
- In Covina, the percentage of married families is higher at 38.0%, compared to 34.0% in Green bay.
- The poverty level is higher in Covina at 12%, compared to 10% in Green bay.
- Covina has a higher unemployment rate at 6.0% compared to 3.2% in Green bay.
Demographics
Demographics Green bay vs Covina provide insight into the diversity of the communities to compare.
| Demographic | Green bay | Covina |
|---|---|---|
| Black | 4 | 4 |
| White | 61 | 18 |
| Asian | 4 | 14 |
| Hispanic | 17 | 63 |
| Two or More Races | 11 | 19 |
| American Indian | 3 | 1 |
Demographics Comparison: Green bay vs Covina
- The percentage of Black residents is the same in both Green bay and Covina at 4%.
- Green bay has a higher percentage of White residents at 61% compared to 18% in Covina.
- In Covina, the Asian population stands at 14%, greater than 4% in Green bay.
- Covina has a higher percentage of Hispanic residents at 63%, compared to 17% in Green bay.
- The percentage of residents identifying as two or more races is higher in Covina at 19%, compared to 11% in Green bay.
- A greater percentage of American Indian residents live in Green bay at 3% compared to 1% in Covina.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green bay | Covina |
|---|---|---|
| Mental Health Not Good | 15.3% | 15.1% |
| Physical Health Not Good | 11.0% | 10.9% |
| Depression | 22.1% | 15.9% |
| Smoking | 16.8% | 10.5% |
| Binge Drinking | 22.8% | 15.6% |
| Obesity | 38.0% | 28.2% |
| Disability Percentage | 14.0% | 12.0% |
Health Statistics Comparison: Green bay vs Covina
- More residents in Green bay report poor mental health at 15.3% compared to 15.1% in Covina.
- Depression is more prevalent in Green bay at 22.1% compared to 15.9% in Covina.
- Smoking is more prevalent in Green bay at 16.8% compared to 10.5% in Covina.
- Binge drinking is more common in Green bay at 22.8% compared to 15.6% in Covina.
- Obesity rates are higher in Green bay at 38.0% compared to 28.2% in Covina.
- Disability percentages are higher in Green bay at 14.0% compared to 12.0% in Covina.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green bay | Covina |
|---|---|---|
| No Schooling | 1.7% (1,796) | 1.5% (753) |
| High School Diploma | 18.1% (19,183) | 17.4% (8,620) |
| Less than High School | 14.0% (14,805) | 17.2% (8,533) |
| Bachelor's Degree and Higher | 16.6% (17,606) | 18.7% (9,254) |
Education Levels Comparison: Green bay vs Covina
- A higher percentage of residents in Green bay have no formal schooling at 1.7% compared to 1.5% in Covina.
- A higher percentage of residents in Green bay hold a high school diploma at 18.1% compared to 17.4% in Covina.
- The percentage of residents with less than a high school education is higher in Covina at 17.2%, compared to 14.0% in Green bay.
- In Covina, a larger share of residents have a bachelor's degree or higher at 18.7% 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.