Demographics details for Washington, MO vs Waterville, OH
Population Overview
Compare main population characteristics in Washington, MO vs Waterville, OH.
| Data | Washington | Waterville |
|---|---|---|
| Population | 15,075 | 6,013 |
| Median Age | 40.9 years | 40.9 years |
| Median Income | $75,127 | $101,473 |
| Married Families | 41.0% | 44.0% |
| Poverty Level | 8% | Data is updating |
| Unemployment Rate | 2.5 | 3.2 |
Population Comparison: Washington vs Waterville
- In Washington, the population is higher at 15,075, compared to 6,013 in Waterville.
- The median age is the same in both Washington and Waterville at 40.9 years.
- Waterville has a higher median income of $101,473, compared to $75,127 in Washington.
- In Waterville, the percentage of married families is higher at 44.0%, compared to 41.0% in Washington.
- Washington has a higher poverty level at 8% compared to 0% in Waterville.
- Waterville has a higher unemployment rate at 3.2% compared to 2.5% in Washington.
Demographics
Demographics Washington vs Waterville provide insight into the diversity of the communities to compare.
| Demographic | Washington | Waterville |
|---|---|---|
| Black | Data is updating | 1 |
| White | 91 | 79 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 8 |
| Two or More Races | 7 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Waterville
- In Waterville, the percentage of Black residents is higher at 1% compared to 0% in Washington.
- Washington has a higher percentage of White residents at 91% compared to 79% in Waterville.
- In Waterville, the Asian population stands at 2%, greater than 0% in Washington.
- Waterville has a higher percentage of Hispanic residents at 8%, compared to 2% in Washington.
- The percentage of residents identifying as two or more races is higher in Waterville at 10%, compared to 7% in Washington.
- The percentage of American Indian residents is the same in both Washington and Waterville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Waterville |
|---|---|---|
| Mental Health Not Good | 16.8% | 14.8% |
| Physical Health Not Good | 11.0% | 8.1% |
| Depression | 24.6% | 22.5% |
| Smoking | 18.3% | 12.6% |
| Binge Drinking | 19.8% | 19.0% |
| Obesity | 36.6% | 33.8% |
| Disability Percentage | 14.0% | 12.0% |
Health Statistics Comparison: Washington vs Waterville
- More residents in Washington report poor mental health at 16.8% compared to 14.8% in Waterville.
- Depression is more prevalent in Washington at 24.6% compared to 22.5% in Waterville.
- Smoking is more prevalent in Washington at 18.3% compared to 12.6% in Waterville.
- Binge drinking is more common in Washington at 19.8% compared to 19.0% in Waterville.
- Obesity rates are higher in Washington at 36.6% compared to 33.8% in Waterville.
- Disability percentages are higher in Washington at 14.0% compared to 12.0% in Waterville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Waterville |
|---|---|---|
| No Schooling | 0.3% (41) | 0.0% (3) |
| High School Diploma | 15.0% (2,260) | 15.4% (924) |
| Less than High School | 8.7% (1,311) | 4.4% (265) |
| Bachelor's Degree and Higher | 18.8% (2,838) | 33.1% (1,988) |
Education Levels Comparison: Washington vs Waterville
- A higher percentage of residents in Washington have no formal schooling at 0.3% compared to 0.0% in Waterville.
- In Waterville, the rate of residents with high school diplomas is higher at 15.4% compared to 15.0% in Washington.
- More residents in Washington have less than a high school education at 8.7% compared to 4.4% in Waterville.
- In Waterville, a larger share of residents have a bachelor's degree or higher at 33.1% compared to 18.8% in Washington.
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.