Demographics details for Washington, WV vs Dekalb, IL
Population Overview
Compare main population characteristics in Washington, WV vs Dekalb, IL.
| Data | Washington | Dekalb |
|---|---|---|
| Population | 1,155 | 40,220 |
| Median Age | 56.2 years | 24.9 years |
| Median Income | $41,920 | $47,410 |
| Married Families | 50.0% | 25.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 4.5 | 6.3 |
Population Comparison: Washington vs Dekalb
- The population in Dekalb is higher at 40,220, compared to 1,155 in Washington.
- Residents in Washington have a higher median age of 56.2 years compared to 24.9 years in Dekalb.
- Dekalb has a higher median income of $47,410, compared to $41,920 in Washington.
- A higher percentage of married families is found in Washington at 50.0% compared to 25.0% in Dekalb.
- The poverty level is higher in Dekalb at 13%, compared to 10% in Washington.
- Dekalb has a higher unemployment rate at 6.3% compared to 4.5% in Washington.
Demographics
Demographics Washington vs Dekalb provide insight into the diversity of the communities to compare.
| Demographic | Washington | Dekalb |
|---|---|---|
| Black | Data is updating | 15 |
| White | 94 | 54 |
| Asian | Data is updating | 5 |
| Hispanic | 4 | 16 |
| Two or More Races | 2 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Washington vs Dekalb
- In Dekalb, the percentage of Black residents is higher at 15% compared to 0% in Washington.
- Washington has a higher percentage of White residents at 94% compared to 54% in Dekalb.
- In Dekalb, the Asian population stands at 5%, greater than 0% in Washington.
- Dekalb has a higher percentage of Hispanic residents at 16%, compared to 4% in Washington.
- The percentage of residents identifying as two or more races is higher in Dekalb at 9%, compared to 2% in Washington.
- In Dekalb, 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 | Dekalb |
|---|---|---|
| Mental Health Not Good | 17.5% | 16.6% |
| Physical Health Not Good | 11.0% | 11.4% |
| Depression | 28.1% | 21.2% |
| Smoking | 16.1% | 16.6% |
| Binge Drinking | 15.5% | 16.5% |
| Obesity | 36.2% | 39.0% |
| Disability Percentage | 31.0% | 10.0% |
Health Statistics Comparison: Washington vs Dekalb
- More residents in Washington report poor mental health at 17.5% compared to 16.6% in Dekalb.
- Depression is more prevalent in Washington at 28.1% compared to 21.2% in Dekalb.
- Dekalb has a higher smoking rate at 16.6% compared to 16.1% in Washington.
- More residents engage in binge drinking in Dekalb at 16.5% compared to 15.5% in Washington.
- Dekalb has higher obesity rates at 39.0% compared to 36.2% in Washington.
- Disability percentages are higher in Washington at 31.0% compared to 10.0% in Dekalb.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington | Dekalb |
|---|---|---|
| No Schooling | 2.7% (31) | 1.3% (531) |
| High School Diploma | 12.1% (140) | 9.4% (3,786) |
| Less than High School | 5.4% (62) | 8.3% (3,334) |
| Bachelor's Degree and Higher | 27.2% (314) | 19.5% (7,828) |
Education Levels Comparison: Washington vs Dekalb
- A higher percentage of residents in Washington have no formal schooling at 2.7% compared to 1.3% in Dekalb.
- A higher percentage of residents in Washington hold a high school diploma at 12.1% compared to 9.4% in Dekalb.
- The percentage of residents with less than a high school education is higher in Dekalb at 8.3%, compared to 5.4% in Washington.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 27.2% compared to 19.5% in Dekalb.
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.