Demographics details for Ogema, WI vs Zebulon, GA
Population Overview
Compare main population characteristics in Ogema, WI vs Zebulon, GA.
| Data | Ogema | Zebulon |
|---|---|---|
| Population | 684 | 1,297 |
| Median Age | 35.0 years | 37.4 years |
| Median Income | $55,000 | $43,456 |
| Married Families | 40.0% | 40.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Ogema vs Zebulon
- The population in Zebulon is higher at 1,297, compared to 684 in Ogema.
- The median age in Zebulon is higher at 37.4 years, compared to 35.0 years in Ogema.
- Ogema has a higher median income of $55,000 compared to $43,456 in Zebulon.
- The percentage of married families is the same in both Ogema and Zebulon at 40.0%.
- The poverty level is higher in Zebulon at 15%, compared to 5% in Ogema.
- Zebulon has a higher unemployment rate at 4.5% compared to 3.0% in Ogema.
Demographics
Demographics Ogema vs Zebulon provide insight into the diversity of the communities to compare.
| Demographic | Ogema | Zebulon |
|---|---|---|
| Black | 1 | 27 |
| White | 96 | 60 |
| Asian | Data is updating | 5 |
| Hispanic | 2 | 3 |
| Two or More Races | 1 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ogema vs Zebulon
- In Zebulon, the percentage of Black residents is higher at 27% compared to 1% in Ogema.
- Ogema has a higher percentage of White residents at 96% compared to 60% in Zebulon.
- In Zebulon, the Asian population stands at 5%, greater than 0% in Ogema.
- Zebulon has a higher percentage of Hispanic residents at 3%, compared to 2% in Ogema.
- The percentage of residents identifying as two or more races is higher in Zebulon at 5%, compared to 1% in Ogema.
- The percentage of American Indian residents is the same in both Ogema and Zebulon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ogema | Zebulon |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.8% |
| Physical Health Not Good | Data is updating% | 11.5% |
| Depression | Data is updating% | 20.5% |
| Smoking | Data is updating% | 17.1% |
| Binge Drinking | Data is updating% | 15.9% |
| Obesity | Data is updating% | 35.9% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Ogema vs Zebulon
- In Zebulon, a higher percentage report poor mental health at 16.8% compared to 0.0% in Ogema.
- Higher depression rates are seen in Zebulon at 20.5% versus 0.0% in Ogema.
- Zebulon has a higher smoking rate at 17.1% compared to 0.0% in Ogema.
- More residents engage in binge drinking in Zebulon at 15.9% compared to 0.0% in Ogema.
- Zebulon has higher obesity rates at 35.9% compared to 0.0% in Ogema.
- There is a higher percentage of disabled individuals in Zebulon at 15.0% compared to 0.0% in Ogema.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ogema | Zebulon |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.2% (29) |
| High School Diploma | 0.0% (Data is updating) | 25.7% (333) |
| Less than High School | 0.0% (Data is updating) | 17.7% (230) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.9% (167) |
Education Levels Comparison: Ogema vs Zebulon
- In Zebulon, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Ogema.
- In Zebulon, the rate of residents with high school diplomas is higher at 25.7% compared to 0.0% in Ogema.
- The percentage of residents with less than a high school education is higher in Zebulon at 17.7%, compared to 0.0% in Ogema.
- In Zebulon, a larger share of residents have a bachelor's degree or higher at 12.9% compared to 0.0% in Ogema.
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.