Demographics details for Green bay, WI vs Oxford, MS
Population Overview
Compare main population characteristics in Green bay, WI vs Oxford, MS.
| Data | Green bay | Oxford |
|---|---|---|
| Population | 106,095 | 26,437 |
| Median Age | 35.6 years | 27.7 years |
| Median Income | $59,174 | $56,784 |
| Married Families | 34.0% | 28.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 3.2 | 2.7 |
Population Comparison: Green bay vs Oxford
- In Green bay, the population is higher at 106,095, compared to 26,437 in Oxford.
- Residents in Green bay have a higher median age of 35.6 years compared to 27.7 years in Oxford.
- Green bay has a higher median income of $59,174 compared to $56,784 in Oxford.
- A higher percentage of married families is found in Green bay at 34.0% compared to 28.0% in Oxford.
- The poverty level is higher in Oxford at 18%, compared to 10% in Green bay.
- The unemployment rate in Green bay is higher at 3.2%, compared to 2.7% in Oxford.
Demographics
Demographics Green bay vs Oxford provide insight into the diversity of the communities to compare.
| Demographic | Green bay | Oxford |
|---|---|---|
| Black | 4 | 25 |
| White | 61 | 68 |
| Asian | 4 | 3 |
| Hispanic | 17 | 2 |
| Two or More Races | 11 | 2 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Green bay vs Oxford
- In Oxford, the percentage of Black residents is higher at 25% compared to 4% in Green bay.
- The percentage of White residents is higher in Oxford at 68% compared to 61% in Green bay.
- The Asian population is larger in Green bay at 4% compared to 3% in Oxford.
- The Hispanic community is larger in Green bay at 17% compared to 2% in Oxford.
- More residents identify as two or more races in Green bay at 11% compared to 2% in Oxford.
- A greater percentage of American Indian residents live in Green bay at 3% compared to 0% in Oxford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green bay | Oxford |
|---|---|---|
| Mental Health Not Good | 15.3% | 15.1% |
| Physical Health Not Good | 11.0% | 10.6% |
| Depression | 22.1% | 21.3% |
| Smoking | 16.8% | 15.2% |
| Binge Drinking | 22.8% | 14.9% |
| Obesity | 38.0% | 35.0% |
| Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Green bay vs Oxford
- More residents in Green bay report poor mental health at 15.3% compared to 15.1% in Oxford.
- Depression is more prevalent in Green bay at 22.1% compared to 21.3% in Oxford.
- Smoking is more prevalent in Green bay at 16.8% compared to 15.2% in Oxford.
- Binge drinking is more common in Green bay at 22.8% compared to 14.9% in Oxford.
- Obesity rates are higher in Green bay at 38.0% compared to 35.0% in Oxford.
- Disability percentages are higher in Green bay at 14.0% compared to 8.0% in Oxford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green bay | Oxford |
|---|---|---|
| No Schooling | 1.7% (1,796) | 0.4% (114) |
| High School Diploma | 18.1% (19,183) | 7.0% (1,862) |
| Less than High School | 14.0% (14,805) | 5.5% (1,444) |
| Bachelor's Degree and Higher | 16.6% (17,606) | 33.0% (8,735) |
Education Levels Comparison: Green bay vs Oxford
- A higher percentage of residents in Green bay have no formal schooling at 1.7% compared to 0.4% in Oxford.
- A higher percentage of residents in Green bay hold a high school diploma at 18.1% compared to 7.0% in Oxford.
- More residents in Green bay have less than a high school education at 14.0% compared to 5.5% in Oxford.
- In Oxford, a larger share of residents have a bachelor's degree or higher at 33.0% 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.