Demographics details for Green bay, WI vs Columbus, IN
Population Overview
Compare main population characteristics in Green bay, WI vs Columbus, IN.
| Data | Green bay | Columbus |
|---|---|---|
| Population | 106,095 | 51,268 |
| Median Age | 35.6 years | 35.8 years |
| Median Income | $59,174 | $75,114 |
| Married Families | 34.0% | 41.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Green bay vs Columbus
- In Green bay, the population is higher at 106,095, compared to 51,268 in Columbus.
- The median age in Columbus is higher at 35.8 years, compared to 35.6 years in Green bay.
- Columbus has a higher median income of $75,114, compared to $59,174 in Green bay.
- In Columbus, the percentage of married families is higher at 41.0%, compared to 34.0% in Green bay.
- Green bay has a higher poverty level at 10% compared to 9% in Columbus.
- Columbus has a higher unemployment rate at 4.0% compared to 3.2% in Green bay.
Demographics
Demographics Green bay vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Green bay | Columbus |
|---|---|---|
| Black | 4 | 2 |
| White | 61 | 71 |
| Asian | 4 | 13 |
| Hispanic | 17 | 9 |
| Two or More Races | 11 | 5 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Green bay vs Columbus
- A higher percentage of Black residents are in Green bay at 4% compared to 2% in Columbus.
- The percentage of White residents is higher in Columbus at 71% compared to 61% in Green bay.
- In Columbus, the Asian population stands at 13%, greater than 4% in Green bay.
- The Hispanic community is larger in Green bay at 17% compared to 9% in Columbus.
- More residents identify as two or more races in Green bay at 11% compared to 5% in Columbus.
- A greater percentage of American Indian residents live in Green bay at 3% compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green bay | Columbus |
|---|---|---|
| Mental Health Not Good | 15.3% | 15.6% |
| Physical Health Not Good | 11.0% | 10.3% |
| Depression | 22.1% | 24.1% |
| Smoking | 16.8% | 16.3% |
| Binge Drinking | 22.8% | 16.3% |
| Obesity | 38.0% | 36.7% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Green bay vs Columbus
- In Columbus, a higher percentage report poor mental health at 15.6% compared to 15.3% in Green bay.
- Higher depression rates are seen in Columbus at 24.1% versus 22.1% in Green bay.
- Smoking is more prevalent in Green bay at 16.8% compared to 16.3% in Columbus.
- Binge drinking is more common in Green bay at 22.8% compared to 16.3% in Columbus.
- Obesity rates are higher in Green bay at 38.0% compared to 36.7% in Columbus.
- Disability percentages are higher in Green bay at 14.0% compared to 13.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green bay | Columbus |
|---|---|---|
| No Schooling | 1.7% (1,796) | 0.8% (398) |
| High School Diploma | 18.1% (19,183) | 14.3% (7,340) |
| Less than High School | 14.0% (14,805) | 9.1% (4,677) |
| Bachelor's Degree and Higher | 16.6% (17,606) | 28.1% (14,382) |
Education Levels Comparison: Green bay vs Columbus
- A higher percentage of residents in Green bay have no formal schooling at 1.7% compared to 0.8% in Columbus.
- A higher percentage of residents in Green bay hold a high school diploma at 18.1% compared to 14.3% in Columbus.
- More residents in Green bay have less than a high school education at 14.0% compared to 9.1% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 28.1% 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.