Demographics details for Cullom, IL vs Sylvania, GA
Population Overview
Compare main population characteristics in Cullom, IL vs Sylvania, GA.
| Data | Cullom | Sylvania |
|---|---|---|
| Population | 511 | 2,602 |
| Median Age | 41.6 years | 43.7 years |
| Median Income | $58,472 | $36,682 |
| Married Families | 35.0% | 33.0% |
| Poverty Level | 9% | 18% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Cullom vs Sylvania
- The population in Sylvania is higher at 2,602, compared to 511 in Cullom.
- The median age in Sylvania is higher at 43.7 years, compared to 41.6 years in Cullom.
- Cullom has a higher median income of $58,472 compared to $36,682 in Sylvania.
- A higher percentage of married families is found in Cullom at 35.0% compared to 33.0% in Sylvania.
- The poverty level is higher in Sylvania at 18%, compared to 9% in Cullom.
- Sylvania has a higher unemployment rate at 5.2% compared to 3.5% in Cullom.
Demographics
Demographics Cullom vs Sylvania provide insight into the diversity of the communities to compare.
| Demographic | Cullom | Sylvania |
|---|---|---|
| Black | Data is updating | 57 |
| White | 82 | 40 |
| Asian | Data is updating | Data is updating |
| Hispanic | 11 | 1 |
| Two or More Races | 7 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cullom vs Sylvania
- In Sylvania, the percentage of Black residents is higher at 57% compared to 0% in Cullom.
- Cullom has a higher percentage of White residents at 82% compared to 40% in Sylvania.
- Both Cullom and Sylvania have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Cullom at 11% compared to 1% in Sylvania.
- More residents identify as two or more races in Cullom at 7% compared to 2% in Sylvania.
- The percentage of American Indian residents is the same in both Cullom and Sylvania at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cullom | Sylvania |
|---|---|---|
| Mental Health Not Good | 17.2% | 18.9% |
| Physical Health Not Good | 11.6% | 14.4% |
| Depression | 23.0% | 21.8% |
| Smoking | 18.7% | 21.8% |
| Binge Drinking | 17.9% | 13.6% |
| Obesity | 38.7% | 40.5% |
| Disability Percentage | 23.0% | 16.0% |
Health Statistics Comparison: Cullom vs Sylvania
- In Sylvania, a higher percentage report poor mental health at 18.9% compared to 17.2% in Cullom.
- Depression is more prevalent in Cullom at 23.0% compared to 21.8% in Sylvania.
- Sylvania has a higher smoking rate at 21.8% compared to 18.7% in Cullom.
- Binge drinking is more common in Cullom at 17.9% compared to 13.6% in Sylvania.
- Sylvania has higher obesity rates at 40.5% compared to 38.7% in Cullom.
- Disability percentages are higher in Cullom at 23.0% compared to 16.0% in Sylvania.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cullom | Sylvania |
|---|---|---|
| No Schooling | 2.2% (11) | 0.3% (8) |
| High School Diploma | 19.0% (97) | 27.1% (704) |
| Less than High School | 11.4% (58) | 18.6% (485) |
| Bachelor's Degree and Higher | 9.4% (48) | 10.4% (271) |
Education Levels Comparison: Cullom vs Sylvania
- A higher percentage of residents in Cullom have no formal schooling at 2.2% compared to 0.3% in Sylvania.
- In Sylvania, the rate of residents with high school diplomas is higher at 27.1% compared to 19.0% in Cullom.
- The percentage of residents with less than a high school education is higher in Sylvania at 18.6%, compared to 11.4% in Cullom.
- In Sylvania, a larger share of residents have a bachelor's degree or higher at 10.4% compared to 9.4% in Cullom.
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.