Demographics details for Cullom, IL vs Valdosta, GA
Population Overview
Compare main population characteristics in Cullom, IL vs Valdosta, GA.
| Data | Cullom | Valdosta |
|---|---|---|
| Population | 511 | 55,074 |
| Median Age | 41.6 years | 29.2 years |
| Median Income | $58,472 | $41,365 |
| Married Families | 35.0% | 25.0% |
| Poverty Level | 9% | 19% |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Cullom vs Valdosta
- The population in Valdosta is higher at 55,074, compared to 511 in Cullom.
- Residents in Cullom have a higher median age of 41.6 years compared to 29.2 years in Valdosta.
- Cullom has a higher median income of $58,472 compared to $41,365 in Valdosta.
- A higher percentage of married families is found in Cullom at 35.0% compared to 25.0% in Valdosta.
- The poverty level is higher in Valdosta at 19%, compared to 9% in Cullom.
- Valdosta has a higher unemployment rate at 5.1% compared to 3.5% in Cullom.
Demographics
Demographics Cullom vs Valdosta provide insight into the diversity of the communities to compare.
| Demographic | Cullom | Valdosta |
|---|---|---|
| Black | Data is updating | 56 |
| White | 82 | 34 |
| Asian | Data is updating | 1 |
| Hispanic | 11 | 5 |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cullom vs Valdosta
- In Valdosta, the percentage of Black residents is higher at 56% compared to 0% in Cullom.
- Cullom has a higher percentage of White residents at 82% compared to 34% in Valdosta.
- In Valdosta, the Asian population stands at 1%, greater than 0% in Cullom.
- The Hispanic community is larger in Cullom at 11% compared to 5% in Valdosta.
- More residents identify as two or more races in Cullom at 7% compared to 4% in Valdosta.
- The percentage of American Indian residents is the same in both Cullom and Valdosta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cullom | Valdosta |
|---|---|---|
| Mental Health Not Good | 17.2% | 19.7% |
| Physical Health Not Good | 11.6% | 15.4% |
| Depression | 23.0% | 22.2% |
| Smoking | 18.7% | 23.1% |
| Binge Drinking | 17.9% | 13.0% |
| Obesity | 38.7% | 43.5% |
| Disability Percentage | 23.0% | 10.0% |
Health Statistics Comparison: Cullom vs Valdosta
- In Valdosta, a higher percentage report poor mental health at 19.7% compared to 17.2% in Cullom.
- Depression is more prevalent in Cullom at 23.0% compared to 22.2% in Valdosta.
- Valdosta has a higher smoking rate at 23.1% compared to 18.7% in Cullom.
- Binge drinking is more common in Cullom at 17.9% compared to 13.0% in Valdosta.
- Valdosta has higher obesity rates at 43.5% compared to 38.7% in Cullom.
- Disability percentages are higher in Cullom at 23.0% compared to 10.0% in Valdosta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cullom | Valdosta |
|---|---|---|
| No Schooling | 2.2% (11) | 1.0% (538) |
| High School Diploma | 19.0% (97) | 16.3% (8,967) |
| Less than High School | 11.4% (58) | 8.9% (4,906) |
| Bachelor's Degree and Higher | 9.4% (48) | 15.9% (8,750) |
Education Levels Comparison: Cullom vs Valdosta
- A higher percentage of residents in Cullom have no formal schooling at 2.2% compared to 1.0% in Valdosta.
- A higher percentage of residents in Cullom hold a high school diploma at 19.0% compared to 16.3% in Valdosta.
- More residents in Cullom have less than a high school education at 11.4% compared to 8.9% in Valdosta.
- In Valdosta, a larger share of residents have a bachelor's degree or higher at 15.9% 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.