Demographics details for Woodstock, GA vs Wapakoneta, OH
Population Overview
Compare main population characteristics in Woodstock, GA vs Wapakoneta, OH.
Data | Woodstock | Wapakoneta |
---|---|---|
Population | 37,350 | 9,776 |
Median Age | 36.4 years | 41.6 years |
Median Income | $100,913 | $63,008 |
Married Families | 40.0% | 42.0% |
Poverty Level | 5% | 10% |
Unemployment Rate | 3.4 | 4.5 |
Population Comparison: Woodstock vs Wapakoneta
- In Woodstock, the population is higher at 37,350, compared to 9,776 in Wapakoneta.
- The median age in Wapakoneta is higher at 41.6 years, compared to 36.4 years in Woodstock.
- Woodstock has a higher median income of $100,913 compared to $63,008 in Wapakoneta.
- In Wapakoneta, the percentage of married families is higher at 42.0%, compared to 40.0% in Woodstock.
- The poverty level is higher in Wapakoneta at 10%, compared to 5% in Woodstock.
- Wapakoneta has a higher unemployment rate at 4.5% compared to 3.4% in Woodstock.
Demographics
Demographics Woodstock vs Wapakoneta provide insight into the diversity of the communities to compare.
Demographic | Woodstock | Wapakoneta |
---|---|---|
Black | 11 | 1 |
White | 69 | 89 |
Asian | 3 | Data is updating |
Hispanic | 9 | 5 |
Two or More Races | 8 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodstock vs Wapakoneta
- A higher percentage of Black residents are in Woodstock at 11% compared to 1% in Wapakoneta.
- The percentage of White residents is higher in Wapakoneta at 89% compared to 69% in Woodstock.
- The Asian population is larger in Woodstock at 3% compared to 0% in Wapakoneta.
- The Hispanic community is larger in Woodstock at 9% compared to 5% in Wapakoneta.
- More residents identify as two or more races in Woodstock at 8% compared to 5% in Wapakoneta.
- The percentage of American Indian residents is the same in both Woodstock and Wapakoneta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Woodstock | Wapakoneta |
---|---|---|
Mental Health Not Good | 14.1% | 18.1% |
Physical Health Not Good | 9.4% | 12.3% |
Depression | 20.8% | 23.8% |
Smoking | 12.1% | 21.3% |
Binge Drinking | 16.5% | 18.8% |
Obesity | 30.2% | 38.8% |
Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Woodstock vs Wapakoneta
- In Wapakoneta, a higher percentage report poor mental health at 18.1% compared to 14.1% in Woodstock.
- Higher depression rates are seen in Wapakoneta at 23.8% versus 20.8% in Woodstock.
- Wapakoneta has a higher smoking rate at 21.3% compared to 12.1% in Woodstock.
- More residents engage in binge drinking in Wapakoneta at 18.8% compared to 16.5% in Woodstock.
- Wapakoneta has higher obesity rates at 38.8% compared to 30.2% in Woodstock.
- There is a higher percentage of disabled individuals in Wapakoneta at 13.0% compared to 9.0% in Woodstock.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Woodstock | Wapakoneta |
---|---|---|
No Schooling | 0.3% (107) | 0.1% (9) |
High School Diploma | 8.2% (3,052) | 26.9% (2,625) |
Less than High School | 3.7% (1,375) | 11.8% (1,157) |
Bachelor's Degree and Higher | 32.9% (12,290) | 14.0% (1,364) |
Education Levels Comparison: Woodstock vs Wapakoneta
- A higher percentage of residents in Woodstock have no formal schooling at 0.3% compared to 0.1% in Wapakoneta.
- In Wapakoneta, the rate of residents with high school diplomas is higher at 26.9% compared to 8.2% in Woodstock.
- The percentage of residents with less than a high school education is higher in Wapakoneta at 11.8%, compared to 3.7% in Woodstock.
- A higher percentage of residents in Woodstock hold a bachelor's degree or higher at 32.9% 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.