Demographics details for Wapakoneta, OH vs Keyser, WV
Population Overview
Compare main population characteristics in Wapakoneta, OH vs Keyser, WV.
| Data | Wapakoneta | Keyser |
|---|---|---|
| Population | 9,776 | 4,849 |
| Median Age | 41.6 years | 39.1 years |
| Median Income | $63,008 | $46,724 |
| Married Families | 42.0% | 36.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 4.5 | 4.3 |
Population Comparison: Wapakoneta vs Keyser
- In Wapakoneta, the population is higher at 9,776, compared to 4,849 in Keyser.
- Residents in Wapakoneta have a higher median age of 41.6 years compared to 39.1 years in Keyser.
- Wapakoneta has a higher median income of $63,008 compared to $46,724 in Keyser.
- A higher percentage of married families is found in Wapakoneta at 42.0% compared to 36.0% in Keyser.
- The poverty level is higher in Keyser at 15%, compared to 10% in Wapakoneta.
- The unemployment rate in Wapakoneta is higher at 4.5%, compared to 4.3% in Keyser.
Demographics
Demographics Wapakoneta vs Keyser provide insight into the diversity of the communities to compare.
| Demographic | Wapakoneta | Keyser |
|---|---|---|
| Black | 1 | 4 |
| White | 89 | 95 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 5 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wapakoneta vs Keyser
- In Keyser, the percentage of Black residents is higher at 4% compared to 1% in Wapakoneta.
- The percentage of White residents is higher in Keyser at 95% compared to 89% in Wapakoneta.
- Both Wapakoneta and Keyser have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Wapakoneta at 5% compared to 0% in Keyser.
- More residents identify as two or more races in Wapakoneta at 5% compared to 1% in Keyser.
- The percentage of American Indian residents is the same in both Wapakoneta and Keyser at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wapakoneta | Keyser |
|---|---|---|
| Mental Health Not Good | 18.1% | 20.0% |
| Physical Health Not Good | 12.3% | 13.6% |
| Depression | 23.8% | 27.3% |
| Smoking | 21.3% | 20.8% |
| Binge Drinking | 18.8% | 14.4% |
| Obesity | 38.8% | 35.3% |
| Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Wapakoneta vs Keyser
- In Keyser, a higher percentage report poor mental health at 20.0% compared to 18.1% in Wapakoneta.
- Higher depression rates are seen in Keyser at 27.3% versus 23.8% in Wapakoneta.
- Smoking is more prevalent in Wapakoneta at 21.3% compared to 20.8% in Keyser.
- Binge drinking is more common in Wapakoneta at 18.8% compared to 14.4% in Keyser.
- Obesity rates are higher in Wapakoneta at 38.8% compared to 35.3% in Keyser.
- There is a higher percentage of disabled individuals in Keyser at 20.0% 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 | Keyser |
|---|---|---|
| No Schooling | 0.1% (9) | 0.0% (Data is updating) |
| High School Diploma | 26.9% (2,625) | 22.3% (1,081) |
| Less than High School | 11.8% (1,157) | 15.1% (734) |
| Bachelor's Degree and Higher | 14.0% (1,364) | 18.8% (914) |
Education Levels Comparison: Wapakoneta vs Keyser
- A higher percentage of residents in Wapakoneta have no formal schooling at 0.1% compared to 0.0% in Keyser.
- A higher percentage of residents in Wapakoneta hold a high school diploma at 26.9% compared to 22.3% in Keyser.
- The percentage of residents with less than a high school education is higher in Keyser at 15.1%, compared to 11.8% in Wapakoneta.
- In Keyser, a larger share of residents have a bachelor's degree or higher at 18.8% 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.