Demographics details for Washington, KS vs Boyle, MS
Population Overview
Compare main population characteristics in Washington, KS vs Boyle, MS.
| Data | Washington | Boyle |
|---|---|---|
| Population | 5,501 | 499 |
| Median Age | 44.9 years | 36.7 years |
| Median Income | $59,432 | $33,750 |
| Married Families | 46.0% | 25.0% |
| Poverty Level | 12% | 20% |
| Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Washington vs Boyle
- In Washington, the population is higher at 5,501, compared to 499 in Boyle.
- Residents in Washington have a higher median age of 44.9 years compared to 36.7 years in Boyle.
- Washington has a higher median income of $59,432 compared to $33,750 in Boyle.
- A higher percentage of married families is found in Washington at 46.0% compared to 25.0% in Boyle.
- The poverty level is higher in Boyle at 20%, compared to 12% in Washington.
- Boyle has a higher unemployment rate at 4.5% compared to 3.0% in Washington.
Demographics
Demographics Washington vs Boyle provide insight into the diversity of the communities to compare.
| Demographic | Washington | Boyle |
|---|---|---|
| Black | Data is updating | 50 |
| White | 93 | 50 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington vs Boyle
- In Boyle, the percentage of Black residents is higher at 50% compared to 0% in Washington.
- Washington has a higher percentage of White residents at 93% compared to 50% in Boyle.
- The Asian population is larger in Washington at 1% compared to 0% in Boyle.
- The Hispanic community is larger in Washington at 4% compared to 0% in Boyle.
- More residents identify as two or more races in Washington at 2% compared to 0% in Boyle.
- The percentage of American Indian residents is the same in both Washington and Boyle at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Boyle |
|---|---|---|
| Mental Health Not Good | 15.8% | 17.4% |
| Physical Health Not Good | 10.1% | 13.3% |
| Depression | 20.9% | 20.4% |
| Smoking | 18.8% | 20.5% |
| Binge Drinking | 20.4% | 13.0% |
| Obesity | 42.1% | 41.3% |
| Disability Percentage | 14.0% | 48.0% |
Health Statistics Comparison: Washington vs Boyle
- In Boyle, a higher percentage report poor mental health at 17.4% compared to 15.8% in Washington.
- Depression is more prevalent in Washington at 20.9% compared to 20.4% in Boyle.
- Boyle has a higher smoking rate at 20.5% compared to 18.8% in Washington.
- Binge drinking is more common in Washington at 20.4% compared to 13.0% in Boyle.
- Obesity rates are higher in Washington at 42.1% compared to 41.3% in Boyle.
- There is a higher percentage of disabled individuals in Boyle at 48.0% 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 | Boyle |
|---|---|---|
| No Schooling | 0.8% (45) | 0.0% (Data is updating) |
| High School Diploma | 24.9% (1,368) | 16.2% (81) |
| Less than High School | 9.0% (494) | 17.0% (85) |
| Bachelor's Degree and Higher | 15.8% (869) | 41.7% (208) |
Education Levels Comparison: Washington vs Boyle
- A higher percentage of residents in Washington have no formal schooling at 0.8% compared to 0.0% in Boyle.
- A higher percentage of residents in Washington hold a high school diploma at 24.9% compared to 16.2% in Boyle.
- The percentage of residents with less than a high school education is higher in Boyle at 17.0%, compared to 9.0% in Washington.
- In Boyle, a larger share of residents have a bachelor's degree or higher at 41.7% compared to 15.8% 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.