Demographics details for Green bay, WI vs Ash fork, AZ
Population Overview
Compare main population characteristics in Green bay, WI vs Ash fork, AZ.
Data | Green bay | Ash fork |
---|---|---|
Population | 106,095 | 466 |
Median Age | 35.6 years | 38.6 years |
Median Income | $59,174 | $79,861 |
Married Families | 34.0% | 50.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Green bay vs Ash fork
- In Green bay, the population is higher at 106,095, compared to 466 in Ash fork.
- The median age in Ash fork is higher at 38.6 years, compared to 35.6 years in Green bay.
- Ash fork has a higher median income of $79,861, compared to $59,174 in Green bay.
- In Ash fork, the percentage of married families is higher at 50.0%, compared to 34.0% in Green bay.
- The poverty level is identical in both Green bay and Ash fork at 10%.
- Ash fork has a higher unemployment rate at 4.1% compared to 3.2% in Green bay.
Demographics
Demographics Green bay vs Ash fork provide insight into the diversity of the communities to compare.
Demographic | Green bay | Ash fork |
---|---|---|
Black | 4 | Data is updating |
White | 61 | 79 |
Asian | 4 | Data is updating |
Hispanic | 17 | 6 |
Two or More Races | 11 | 15 |
American Indian | 3 | Data is updating |
Demographics Comparison: Green bay vs Ash fork
- A higher percentage of Black residents are in Green bay at 4% compared to 0% in Ash fork.
- The percentage of White residents is higher in Ash fork at 79% compared to 61% in Green bay.
- The Asian population is larger in Green bay at 4% compared to 0% in Ash fork.
- The Hispanic community is larger in Green bay at 17% compared to 6% in Ash fork.
- The percentage of residents identifying as two or more races is higher in Ash fork at 15%, compared to 11% in Green bay.
- A greater percentage of American Indian residents live in Green bay at 3% compared to 0% in Ash fork.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Green bay | Ash fork |
---|---|---|
Mental Health Not Good | 15.3% | 18.4% |
Physical Health Not Good | 11.0% | 13.2% |
Depression | 22.1% | 21.4% |
Smoking | 16.8% | 19.3% |
Binge Drinking | 22.8% | 15.9% |
Obesity | 38.0% | 30.6% |
Disability Percentage | 14.0% | 26.0% |
Health Statistics Comparison: Green bay vs Ash fork
- In Ash fork, a higher percentage report poor mental health at 18.4% compared to 15.3% in Green bay.
- Depression is more prevalent in Green bay at 22.1% compared to 21.4% in Ash fork.
- Ash fork has a higher smoking rate at 19.3% compared to 16.8% in Green bay.
- Binge drinking is more common in Green bay at 22.8% compared to 15.9% in Ash fork.
- Obesity rates are higher in Green bay at 38.0% compared to 30.6% in Ash fork.
- There is a higher percentage of disabled individuals in Ash fork at 26.0% compared to 14.0% in Green bay.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Green bay | Ash fork |
---|---|---|
No Schooling | 1.7% (1,796) | 0.0% (Data is updating) |
High School Diploma | 18.1% (19,183) | 13.1% (61) |
Less than High School | 14.0% (14,805) | 23.6% (110) |
Bachelor's Degree and Higher | 16.6% (17,606) | 8.8% (41) |
Education Levels Comparison: Green bay vs Ash fork
- A higher percentage of residents in Green bay have no formal schooling at 1.7% compared to 0.0% in Ash fork.
- A higher percentage of residents in Green bay hold a high school diploma at 18.1% compared to 13.1% in Ash fork.
- The percentage of residents with less than a high school education is higher in Ash fork at 23.6%, compared to 14.0% in Green bay.
- A higher percentage of residents in Green bay hold a bachelor's degree or higher at 16.6% compared to 8.8% in Ash fork.
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.