Demographics details for Green bay, WI vs Petersburg, NE
Population Overview
Compare main population characteristics in Green bay, WI vs Petersburg, NE.
Data | Green bay | Petersburg |
---|---|---|
Population | 106,095 | 329 |
Median Age | 35.6 years | 40.1 years |
Median Income | $59,174 | $65,500 |
Married Families | 34.0% | 62.0% |
Poverty Level | 10% | Data is updating |
Unemployment Rate | 3.2 | 2.5 |
Population Comparison: Green bay vs Petersburg
- In Green bay, the population is higher at 106,095, compared to 329 in Petersburg.
- The median age in Petersburg is higher at 40.1 years, compared to 35.6 years in Green bay.
- Petersburg has a higher median income of $65,500, compared to $59,174 in Green bay.
- In Petersburg, the percentage of married families is higher at 62.0%, compared to 34.0% in Green bay.
- Green bay has a higher poverty level at 10% compared to 0% in Petersburg.
- The unemployment rate in Green bay is higher at 3.2%, compared to 2.5% in Petersburg.
Demographics
Demographics Green bay vs Petersburg provide insight into the diversity of the communities to compare.
Demographic | Green bay | Petersburg |
---|---|---|
Black | 4 | Data is updating |
White | 61 | 85 |
Asian | 4 | Data is updating |
Hispanic | 17 | 9 |
Two or More Races | 11 | 6 |
American Indian | 3 | Data is updating |
Demographics Comparison: Green bay vs Petersburg
- A higher percentage of Black residents are in Green bay at 4% compared to 0% in Petersburg.
- The percentage of White residents is higher in Petersburg at 85% compared to 61% in Green bay.
- The Asian population is larger in Green bay at 4% compared to 0% in Petersburg.
- The Hispanic community is larger in Green bay at 17% compared to 9% in Petersburg.
- More residents identify as two or more races in Green bay at 11% compared to 6% in Petersburg.
- A greater percentage of American Indian residents live in Green bay at 3% compared to 0% in Petersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Green bay | Petersburg |
---|---|---|
Mental Health Not Good | 15.3% | 14.2% |
Physical Health Not Good | 11.0% | 9.8% |
Depression | 22.1% | 17.9% |
Smoking | 16.8% | 17.8% |
Binge Drinking | 22.8% | 21.8% |
Obesity | 38.0% | 43.1% |
Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Green bay vs Petersburg
- More residents in Green bay report poor mental health at 15.3% compared to 14.2% in Petersburg.
- Depression is more prevalent in Green bay at 22.1% compared to 17.9% in Petersburg.
- Petersburg has a higher smoking rate at 17.8% compared to 16.8% in Green bay.
- Binge drinking is more common in Green bay at 22.8% compared to 21.8% in Petersburg.
- Petersburg has higher obesity rates at 43.1% compared to 38.0% in Green bay.
- Disability percentages are higher in Green bay at 14.0% compared to 11.0% in Petersburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Green bay | Petersburg |
---|---|---|
No Schooling | 1.7% (1,796) | 0.0% (Data is updating) |
High School Diploma | 18.1% (19,183) | 24.0% (79) |
Less than High School | 14.0% (14,805) | 4.9% (16) |
Bachelor's Degree and Higher | 16.6% (17,606) | 18.2% (60) |
Education Levels Comparison: Green bay vs Petersburg
- A higher percentage of residents in Green bay have no formal schooling at 1.7% compared to 0.0% in Petersburg.
- In Petersburg, the rate of residents with high school diplomas is higher at 24.0% compared to 18.1% in Green bay.
- More residents in Green bay have less than a high school education at 14.0% compared to 4.9% in Petersburg.
- In Petersburg, a larger share of residents have a bachelor's degree or higher at 18.2% 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.