Demographics details for Wapakoneta, OH vs Helen, GA
Population Overview
Compare main population characteristics in Wapakoneta, OH vs Helen, GA.
| Data | Wapakoneta | Helen |
|---|---|---|
| Population | 9,776 | 578 |
| Median Age | 41.6 years | 60.2 years |
| Median Income | $63,008 | $74,375 |
| Married Families | 42.0% | 46.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 4.5 | 4.4 |
Population Comparison: Wapakoneta vs Helen
- In Wapakoneta, the population is higher at 9,776, compared to 578 in Helen.
- The median age in Helen is higher at 60.2 years, compared to 41.6 years in Wapakoneta.
- Helen has a higher median income of $74,375, compared to $63,008 in Wapakoneta.
- In Helen, the percentage of married families is higher at 46.0%, compared to 42.0% in Wapakoneta.
- Wapakoneta has a higher poverty level at 10% compared to 8% in Helen.
- The unemployment rate in Wapakoneta is higher at 4.5%, compared to 4.4% in Helen.
Demographics
Demographics Wapakoneta vs Helen provide insight into the diversity of the communities to compare.
| Demographic | Wapakoneta | Helen |
|---|---|---|
| Black | 1 | Data is updating |
| White | 89 | 91 |
| Asian | Data is updating | 7 |
| Hispanic | 5 | Data is updating |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wapakoneta vs Helen
- A higher percentage of Black residents are in Wapakoneta at 1% compared to 0% in Helen.
- The percentage of White residents is higher in Helen at 91% compared to 89% in Wapakoneta.
- In Helen, the Asian population stands at 7%, greater than 0% in Wapakoneta.
- The Hispanic community is larger in Wapakoneta at 5% compared to 0% in Helen.
- More residents identify as two or more races in Wapakoneta at 5% compared to 2% in Helen.
- The percentage of American Indian residents is the same in both Wapakoneta and Helen at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wapakoneta | Helen |
|---|---|---|
| Mental Health Not Good | 18.1% | 14.9% |
| Physical Health Not Good | 12.3% | 9.6% |
| Depression | 23.8% | 21.8% |
| Smoking | 21.3% | 12.8% |
| Binge Drinking | 18.8% | 17.1% |
| Obesity | 38.8% | 28.6% |
| Disability Percentage | 13.0% | 18.0% |
Health Statistics Comparison: Wapakoneta vs Helen
- More residents in Wapakoneta report poor mental health at 18.1% compared to 14.9% in Helen.
- Depression is more prevalent in Wapakoneta at 23.8% compared to 21.8% in Helen.
- Smoking is more prevalent in Wapakoneta at 21.3% compared to 12.8% in Helen.
- Binge drinking is more common in Wapakoneta at 18.8% compared to 17.1% in Helen.
- Obesity rates are higher in Wapakoneta at 38.8% compared to 28.6% in Helen.
- There is a higher percentage of disabled individuals in Helen at 18.0% compared to 13.0% in Wapakoneta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wapakoneta | Helen |
|---|---|---|
| No Schooling | 0.1% (9) | 0.3% (2) |
| High School Diploma | 26.9% (2,625) | 11.6% (67) |
| Less than High School | 11.8% (1,157) | 6.4% (37) |
| Bachelor's Degree and Higher | 14.0% (1,364) | 28.4% (164) |
Education Levels Comparison: Wapakoneta vs Helen
- In Helen, a larger percentage of residents lack formal schooling at 0.3% compared to 0.1% in Wapakoneta.
- A higher percentage of residents in Wapakoneta hold a high school diploma at 26.9% compared to 11.6% in Helen.
- More residents in Wapakoneta have less than a high school education at 11.8% compared to 6.4% in Helen.
- In Helen, a larger share of residents have a bachelor's degree or higher at 28.4% compared to 14.0% in Wapakoneta.
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.