Demographics details for Washington, NC vs Dayton, OH
Population Overview
Compare main population characteristics in Washington, NC vs Dayton, OH.
| Data | Washington | Dayton |
|---|---|---|
| Population | 10,828 | 135,944 |
| Median Age | 48.0 years | 34.0 years |
| Median Income | $38,927 | $41,443 |
| Married Families | 34.0% | 21.0% |
| Poverty Level | 16% | 18% |
| Unemployment Rate | 4.8 | 6.8 |
Population Comparison: Washington vs Dayton
- The population in Dayton is higher at 135,944, compared to 10,828 in Washington.
- Residents in Washington have a higher median age of 48.0 years compared to 34.0 years in Dayton.
- Dayton has a higher median income of $41,443, compared to $38,927 in Washington.
- A higher percentage of married families is found in Washington at 34.0% compared to 21.0% in Dayton.
- The poverty level is higher in Dayton at 18%, compared to 16% in Washington.
- Dayton has a higher unemployment rate at 6.8% compared to 4.8% in Washington.
Demographics
Demographics Washington vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Washington | Dayton |
|---|---|---|
| Black | 49 | 38 |
| White | 41 | 50 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 5 |
| Two or More Races | 3 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Washington vs Dayton
- A higher percentage of Black residents are in Washington at 49% compared to 38% in Dayton.
- The percentage of White residents is higher in Dayton at 50% compared to 41% in Washington.
- In Dayton, the Asian population stands at 1%, greater than 0% in Washington.
- The Hispanic community is larger in Washington at 6% compared to 5% in Dayton.
- The percentage of residents identifying as two or more races is higher in Dayton at 6%, compared to 3% in Washington.
- A greater percentage of American Indian residents live in Washington at 1% compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Dayton |
|---|---|---|
| Mental Health Not Good | 18.3% | 21.9% |
| Physical Health Not Good | 13.8% | 16.5% |
| Depression | 22.8% | 26.5% |
| Smoking | 21.9% | 26.0% |
| Binge Drinking | 14.7% | 15.2% |
| Obesity | 43.3% | 47.6% |
| Disability Percentage | 24.0% | 18.0% |
Health Statistics Comparison: Washington vs Dayton
- In Dayton, a higher percentage report poor mental health at 21.9% compared to 18.3% in Washington.
- Higher depression rates are seen in Dayton at 26.5% versus 22.8% in Washington.
- Dayton has a higher smoking rate at 26.0% compared to 21.9% in Washington.
- More residents engage in binge drinking in Dayton at 15.2% compared to 14.7% in Washington.
- Dayton has higher obesity rates at 47.6% compared to 43.3% in Washington.
- Disability percentages are higher in Washington at 24.0% compared to 18.0% in Dayton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Dayton |
|---|---|---|
| No Schooling | 1.2% (128) | 0.9% (1,157) |
| High School Diploma | 19.0% (2,058) | 16.3% (22,101) |
| Less than High School | 13.7% (1,487) | 13.9% (18,900) |
| Bachelor's Degree and Higher | 10.3% (1,118) | 12.7% (17,260) |
Education Levels Comparison: Washington vs Dayton
- A higher percentage of residents in Washington have no formal schooling at 1.2% compared to 0.9% in Dayton.
- A higher percentage of residents in Washington hold a high school diploma at 19.0% compared to 16.3% in Dayton.
- The percentage of residents with less than a high school education is higher in Dayton at 13.9%, compared to 13.7% in Washington.
- In Dayton, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 10.3% 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.