Demographics details for Washington, MO vs Clyde, OH
Population Overview
Compare main population characteristics in Washington, MO vs Clyde, OH.
| Data | Washington | Clyde |
|---|---|---|
| Population | 15,075 | 6,318 |
| Median Age | 40.9 years | 49.0 years |
| Median Income | $75,127 | $55,956 |
| Married Families | 41.0% | 40.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Washington vs Clyde
- In Washington, the population is higher at 15,075, compared to 6,318 in Clyde.
- The median age in Clyde is higher at 49.0 years, compared to 40.9 years in Washington.
- Washington has a higher median income of $75,127 compared to $55,956 in Clyde.
- A higher percentage of married families is found in Washington at 41.0% compared to 40.0% in Clyde.
- The poverty level is higher in Clyde at 10%, compared to 8% in Washington.
- Clyde has a higher unemployment rate at 4.5% compared to 2.5% in Washington.
Demographics
Demographics Washington vs Clyde provide insight into the diversity of the communities to compare.
| Demographic | Washington | Clyde |
|---|---|---|
| Black | Data is updating | 1 |
| White | 91 | 89 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 6 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Washington vs Clyde
- In Clyde, 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 89% in Clyde.
- Both Washington and Clyde have the same percentage of Asian residents at 0%.
- Clyde has a higher percentage of Hispanic residents at 6%, compared to 2% in Washington.
- More residents identify as two or more races in Washington at 7% compared to 3% in Clyde.
- In Clyde, the percentage of American Indian residents is higher at 1%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Clyde |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.6% |
| Physical Health Not Good | 11.0% | 12.0% |
| Depression | 24.6% | 22.9% |
| Smoking | 18.3% | 21.8% |
| Binge Drinking | 19.8% | 18.7% |
| Obesity | 36.6% | 41.8% |
| Disability Percentage | 14.0% | 21.0% |
Health Statistics Comparison: Washington vs Clyde
- In Clyde, a higher percentage report poor mental health at 17.6% compared to 16.8% in Washington.
- Depression is more prevalent in Washington at 24.6% compared to 22.9% in Clyde.
- Clyde has a higher smoking rate at 21.8% compared to 18.3% in Washington.
- Binge drinking is more common in Washington at 19.8% compared to 18.7% in Clyde.
- Clyde has higher obesity rates at 41.8% compared to 36.6% in Washington.
- There is a higher percentage of disabled individuals in Clyde at 21.0% compared to 14.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Clyde |
|---|---|---|
| No Schooling | 0.3% (41) | 0.5% (30) |
| High School Diploma | 15.0% (2,260) | 23.4% (1,481) |
| Less than High School | 8.7% (1,311) | 11.2% (708) |
| Bachelor's Degree and Higher | 18.8% (2,838) | 15.3% (965) |
Education Levels Comparison: Washington vs Clyde
- In Clyde, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Washington.
- In Clyde, the rate of residents with high school diplomas is higher at 23.4% compared to 15.0% in Washington.
- The percentage of residents with less than a high school education is higher in Clyde at 11.2%, compared to 8.7% in Washington.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 18.8% compared to 15.3% in Clyde.
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.