Demographics details for Woodburn, OR vs Experiment, GA
Population Overview
Compare main population characteristics in Woodburn, OR vs Experiment, GA.
| Data | Woodburn | Experiment |
|---|---|---|
| Population | 27,290 | 2,578 |
| Median Age | 39.2 years | 37.3 years |
| Median Income | $58,916 | $28,955 |
| Married Families | 35.0% | 17.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 3.8 | 4.2 |
Population Comparison: Woodburn vs Experiment
- In Woodburn, the population is higher at 27,290, compared to 2,578 in Experiment.
- Residents in Woodburn have a higher median age of 39.2 years compared to 37.3 years in Experiment.
- Woodburn has a higher median income of $58,916 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Woodburn at 35.0% compared to 17.0% in Experiment.
- The poverty level is higher in Experiment at 13%, compared to 12% in Woodburn.
- Experiment has a higher unemployment rate at 4.2% compared to 3.8% in Woodburn.
Demographics
Demographics Woodburn vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Woodburn | Experiment |
|---|---|---|
| Black | Data is updating | 55 |
| White | 22 | 38 |
| Asian | 1 | Data is updating |
| Hispanic | 59 | 6 |
| Two or More Races | 17 | Data is updating |
| American Indian | 1 | 1 |
Demographics Comparison: Woodburn vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 0% in Woodburn.
- The percentage of White residents is higher in Experiment at 38% compared to 22% in Woodburn.
- The Asian population is larger in Woodburn at 1% compared to 0% in Experiment.
- The Hispanic community is larger in Woodburn at 59% compared to 6% in Experiment.
- More residents identify as two or more races in Woodburn at 17% compared to 0% in Experiment.
- The percentage of American Indian residents is the same in both Woodburn and Experiment at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodburn | Experiment |
|---|---|---|
| Mental Health Not Good | 18.9% | 22.7% |
| Physical Health Not Good | 14.7% | 19.6% |
| Depression | 27.1% | 22.2% |
| Smoking | 18.0% | 31.3% |
| Binge Drinking | 14.4% | 11.8% |
| Obesity | 40.5% | 44.5% |
| Disability Percentage | 14.0% | 18.0% |
Health Statistics Comparison: Woodburn vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 18.9% in Woodburn.
- Depression is more prevalent in Woodburn at 27.1% compared to 22.2% in Experiment.
- Experiment has a higher smoking rate at 31.3% compared to 18.0% in Woodburn.
- Binge drinking is more common in Woodburn at 14.4% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 40.5% in Woodburn.
- There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 14.0% in Woodburn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodburn | Experiment |
|---|---|---|
| No Schooling | 3.6% (992) | 3.2% (83) |
| High School Diploma | 13.3% (3,628) | 29.1% (749) |
| Less than High School | 38.2% (10,414) | 33.7% (869) |
| Bachelor's Degree and Higher | 9.4% (2,578) | 3.8% (98) |
Education Levels Comparison: Woodburn vs Experiment
- A higher percentage of residents in Woodburn have no formal schooling at 3.6% compared to 3.2% in Experiment.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 13.3% in Woodburn.
- More residents in Woodburn have less than a high school education at 38.2% compared to 33.7% in Experiment.
- A higher percentage of residents in Woodburn hold a bachelor's degree or higher at 9.4% compared to 3.8% in Experiment.
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.