Demographics details for Cullom, IL vs Washington, IN
Population Overview
Compare main population characteristics in Cullom, IL vs Washington, IN.
| Data | Cullom | Washington |
|---|---|---|
| Population | 511 | 12,171 |
| Median Age | 41.6 years | 37.0 years |
| Median Income | $58,472 | $48,255 |
| Married Families | 35.0% | 38.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Cullom vs Washington
- The population in Washington is higher at 12,171, compared to 511 in Cullom.
- Residents in Cullom have a higher median age of 41.6 years compared to 37.0 years in Washington.
- Cullom has a higher median income of $58,472 compared to $48,255 in Washington.
- In Washington, the percentage of married families is higher at 38.0%, compared to 35.0% in Cullom.
- The poverty level is higher in Washington at 12%, compared to 9% in Cullom.
- The unemployment rate in Cullom is higher at 3.5%, compared to 3.2% in Washington.
Demographics
Demographics Cullom vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Cullom | Washington |
|---|---|---|
| Black | Data is updating | 4 |
| White | 82 | 76 |
| Asian | Data is updating | Data is updating |
| Hispanic | 11 | 12 |
| Two or More Races | 7 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cullom vs Washington
- In Washington, the percentage of Black residents is higher at 4% compared to 0% in Cullom.
- Cullom has a higher percentage of White residents at 82% compared to 76% in Washington.
- Both Cullom and Washington have the same percentage of Asian residents at 0%.
- Washington has a higher percentage of Hispanic residents at 12%, compared to 11% in Cullom.
- The percentage of residents identifying as two or more races is higher in Washington at 8%, compared to 7% in Cullom.
- The percentage of American Indian residents is the same in both Cullom and Washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cullom | Washington |
|---|---|---|
| Mental Health Not Good | 17.2% | 18.7% |
| Physical Health Not Good | 11.6% | 13.5% |
| Depression | 23.0% | 27.6% |
| Smoking | 18.7% | 23.3% |
| Binge Drinking | 17.9% | 16.3% |
| Obesity | 38.7% | 36.4% |
| Disability Percentage | 23.0% | 16.0% |
Health Statistics Comparison: Cullom vs Washington
- In Washington, a higher percentage report poor mental health at 18.7% compared to 17.2% in Cullom.
- Higher depression rates are seen in Washington at 27.6% versus 23.0% in Cullom.
- Washington has a higher smoking rate at 23.3% compared to 18.7% in Cullom.
- Binge drinking is more common in Cullom at 17.9% compared to 16.3% in Washington.
- Obesity rates are higher in Cullom at 38.7% compared to 36.4% in Washington.
- Disability percentages are higher in Cullom at 23.0% compared to 16.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cullom | Washington |
|---|---|---|
| No Schooling | 2.2% (11) | 1.3% (163) |
| High School Diploma | 19.0% (97) | 22.8% (2,771) |
| Less than High School | 11.4% (58) | 20.2% (2,460) |
| Bachelor's Degree and Higher | 9.4% (48) | 9.3% (1,129) |
Education Levels Comparison: Cullom vs Washington
- A higher percentage of residents in Cullom have no formal schooling at 2.2% compared to 1.3% in Washington.
- In Washington, the rate of residents with high school diplomas is higher at 22.8% compared to 19.0% in Cullom.
- The percentage of residents with less than a high school education is higher in Washington at 20.2%, compared to 11.4% in Cullom.
- A higher percentage of residents in Cullom hold a bachelor's degree or higher at 9.4% compared to 9.3% 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.