Demographics details for Wapakoneta, OH vs Tacoma, WA
Population Overview
Compare main population characteristics in Wapakoneta, OH vs Tacoma, WA.
| Data | Wapakoneta | Tacoma |
|---|---|---|
| Population | 9,776 | 221,776 |
| Median Age | 41.6 years | 36.9 years |
| Median Income | $63,008 | $79,085 |
| Married Families | 42.0% | 36.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 4.5 | 4.9 |
Population Comparison: Wapakoneta vs Tacoma
- The population in Tacoma is higher at 221,776, compared to 9,776 in Wapakoneta.
- Residents in Wapakoneta have a higher median age of 41.6 years compared to 36.9 years in Tacoma.
- Tacoma has a higher median income of $79,085, compared to $63,008 in Wapakoneta.
- A higher percentage of married families is found in Wapakoneta at 42.0% compared to 36.0% in Tacoma.
- The poverty level is higher in Tacoma at 11%, compared to 10% in Wapakoneta.
- Tacoma has a higher unemployment rate at 4.9% compared to 4.5% in Wapakoneta.
Demographics
Demographics Wapakoneta vs Tacoma provide insight into the diversity of the communities to compare.
| Demographic | Wapakoneta | Tacoma |
|---|---|---|
| Black | 1 | 11 |
| White | 89 | 53 |
| Asian | Data is updating | 9 |
| Hispanic | 5 | 12 |
| Two or More Races | 5 | 13 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Wapakoneta vs Tacoma
- In Tacoma, the percentage of Black residents is higher at 11% compared to 1% in Wapakoneta.
- Wapakoneta has a higher percentage of White residents at 89% compared to 53% in Tacoma.
- In Tacoma, the Asian population stands at 9%, greater than 0% in Wapakoneta.
- Tacoma has a higher percentage of Hispanic residents at 12%, compared to 5% in Wapakoneta.
- The percentage of residents identifying as two or more races is higher in Tacoma at 13%, compared to 5% in Wapakoneta.
- In Tacoma, the percentage of American Indian residents is higher at 2%, compared to 0% in Wapakoneta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wapakoneta | Tacoma |
|---|---|---|
| Mental Health Not Good | 18.1% | 18.9% |
| Physical Health Not Good | 12.3% | 11.9% |
| Depression | 23.8% | 26.2% |
| Smoking | 21.3% | 15.4% |
| Binge Drinking | 18.8% | 16.2% |
| Obesity | 38.8% | 34.6% |
| Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Wapakoneta vs Tacoma
- In Tacoma, a higher percentage report poor mental health at 18.9% compared to 18.1% in Wapakoneta.
- Higher depression rates are seen in Tacoma at 26.2% versus 23.8% in Wapakoneta.
- Smoking is more prevalent in Wapakoneta at 21.3% compared to 15.4% in Tacoma.
- Binge drinking is more common in Wapakoneta at 18.8% compared to 16.2% in Tacoma.
- Obesity rates are higher in Wapakoneta at 38.8% compared to 34.6% in Tacoma.
- There is a higher percentage of disabled individuals in Tacoma at 14.0% 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 | Tacoma |
|---|---|---|
| No Schooling | 0.1% (9) | 1.6% (3,474) |
| High School Diploma | 26.9% (2,625) | 14.2% (31,504) |
| Less than High School | 11.8% (1,157) | 10.1% (22,501) |
| Bachelor's Degree and Higher | 14.0% (1,364) | 23.0% (50,913) |
Education Levels Comparison: Wapakoneta vs Tacoma
- In Tacoma, a larger percentage of residents lack formal schooling at 1.6% compared to 0.1% in Wapakoneta.
- A higher percentage of residents in Wapakoneta hold a high school diploma at 26.9% compared to 14.2% in Tacoma.
- More residents in Wapakoneta have less than a high school education at 11.8% compared to 10.1% in Tacoma.
- In Tacoma, a larger share of residents have a bachelor's degree or higher at 23.0% 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.