Demographics details for Wapakoneta, OH vs Watertown, MA
Population Overview
Compare main population characteristics in Wapakoneta, OH vs Watertown, MA.
| Data | Wapakoneta | Watertown |
|---|---|---|
| Population | 9,776 | 35,022 |
| Median Age | 41.6 years | 38.2 years |
| Median Income | $63,008 | $117,625 |
| Married Families | 42.0% | 42.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Wapakoneta vs Watertown
- The population in Watertown is higher at 35,022, compared to 9,776 in Wapakoneta.
- Residents in Wapakoneta have a higher median age of 41.6 years compared to 38.2 years in Watertown.
- Watertown has a higher median income of $117,625, compared to $63,008 in Wapakoneta.
- The percentage of married families is the same in both Wapakoneta and Watertown at 42.0%.
- Wapakoneta has a higher poverty level at 10% compared to 5% in Watertown.
- The unemployment rate in Wapakoneta is higher at 4.5%, compared to 3.4% in Watertown.
Demographics
Demographics Wapakoneta vs Watertown provide insight into the diversity of the communities to compare.
| Demographic | Wapakoneta | Watertown |
|---|---|---|
| Black | 1 | 4 |
| White | 89 | 70 |
| Asian | Data is updating | 12 |
| Hispanic | 5 | 7 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wapakoneta vs Watertown
- In Watertown, the percentage of Black residents is higher at 4% compared to 1% in Wapakoneta.
- Wapakoneta has a higher percentage of White residents at 89% compared to 70% in Watertown.
- In Watertown, the Asian population stands at 12%, greater than 0% in Wapakoneta.
- Watertown has a higher percentage of Hispanic residents at 7%, compared to 5% in Wapakoneta.
- The percentage of residents identifying as two or more races is higher in Watertown at 7%, compared to 5% in Wapakoneta.
- The percentage of American Indian residents is the same in both Wapakoneta and Watertown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wapakoneta | Watertown |
|---|---|---|
| Mental Health Not Good | 18.1% | 13.1% |
| Physical Health Not Good | 12.3% | 7.7% |
| Depression | 23.8% | 20.6% |
| Smoking | 21.3% | 8.6% |
| Binge Drinking | 18.8% | 19.3% |
| Obesity | 38.8% | 23.1% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Wapakoneta vs Watertown
- More residents in Wapakoneta report poor mental health at 18.1% compared to 13.1% in Watertown.
- Depression is more prevalent in Wapakoneta at 23.8% compared to 20.6% in Watertown.
- Smoking is more prevalent in Wapakoneta at 21.3% compared to 8.6% in Watertown.
- More residents engage in binge drinking in Watertown at 19.3% compared to 18.8% in Wapakoneta.
- Obesity rates are higher in Wapakoneta at 38.8% compared to 23.1% in Watertown.
- Disability percentages are higher in Wapakoneta at 13.0% compared to 12.0% in Watertown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wapakoneta | Watertown |
|---|---|---|
| No Schooling | 0.1% (9) | 0.9% (331) |
| High School Diploma | 26.9% (2,625) | 10.7% (3,731) |
| Less than High School | 11.8% (1,157) | 6.9% (2,426) |
| Bachelor's Degree and Higher | 14.0% (1,364) | 52.6% (18,420) |
Education Levels Comparison: Wapakoneta vs Watertown
- In Watertown, a larger percentage of residents lack formal schooling at 0.9% compared to 0.1% in Wapakoneta.
- A higher percentage of residents in Wapakoneta hold a high school diploma at 26.9% compared to 10.7% in Watertown.
- More residents in Wapakoneta have less than a high school education at 11.8% compared to 6.9% in Watertown.
- In Watertown, a larger share of residents have a bachelor's degree or higher at 52.6% 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.