Demographics details for Swanton, OH vs Cuthbert, GA
Population Overview
Compare main population characteristics in Swanton, OH vs Cuthbert, GA.
| Data | Swanton | Cuthbert |
|---|---|---|
| Population | 3,861 | 2,939 |
| Median Age | 39.1 years | 37.6 years |
| Median Income | $67,367 | $21,278 |
| Married Families | 38.0% | 16.0% |
| Poverty Level | 8% | 28% |
| Unemployment Rate | 3.5 | 5.5 |
Population Comparison: Swanton vs Cuthbert
- In Swanton, the population is higher at 3,861, compared to 2,939 in Cuthbert.
- Residents in Swanton have a higher median age of 39.1 years compared to 37.6 years in Cuthbert.
- Swanton has a higher median income of $67,367 compared to $21,278 in Cuthbert.
- A higher percentage of married families is found in Swanton at 38.0% compared to 16.0% in Cuthbert.
- The poverty level is higher in Cuthbert at 28%, compared to 8% in Swanton.
- Cuthbert has a higher unemployment rate at 5.5% compared to 3.5% in Swanton.
Demographics
Demographics Swanton vs Cuthbert provide insight into the diversity of the communities to compare.
| Demographic | Swanton | Cuthbert |
|---|---|---|
| Black | Data is updating | 92 |
| White | 90 | 1 |
| Asian | 3 | Data is updating |
| Hispanic | 4 | 4 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Swanton vs Cuthbert
- In Cuthbert, the percentage of Black residents is higher at 92% compared to 0% in Swanton.
- Swanton has a higher percentage of White residents at 90% compared to 1% in Cuthbert.
- The Asian population is larger in Swanton at 3% compared to 0% in Cuthbert.
- The percentage of Hispanic residents is the same in both Swanton and Cuthbert at 4%.
- Both Swanton and Cuthbert have the same percentage of residents identifying as two or more races at 3%.
- The percentage of American Indian residents is the same in both Swanton and Cuthbert at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Swanton | Cuthbert |
|---|---|---|
| Mental Health Not Good | 16.8% | 21.4% |
| Physical Health Not Good | 10.7% | 18.1% |
| Depression | 23.9% | 20.9% |
| Smoking | 18.4% | 27.3% |
| Binge Drinking | 18.4% | 11.1% |
| Obesity | 40.2% | 50.4% |
| Disability Percentage | 16.0% | 17.0% |
Health Statistics Comparison: Swanton vs Cuthbert
- In Cuthbert, a higher percentage report poor mental health at 21.4% compared to 16.8% in Swanton.
- Depression is more prevalent in Swanton at 23.9% compared to 20.9% in Cuthbert.
- Cuthbert has a higher smoking rate at 27.3% compared to 18.4% in Swanton.
- Binge drinking is more common in Swanton at 18.4% compared to 11.1% in Cuthbert.
- Cuthbert has higher obesity rates at 50.4% compared to 40.2% in Swanton.
- There is a higher percentage of disabled individuals in Cuthbert at 17.0% compared to 16.0% in Swanton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Swanton | Cuthbert |
|---|---|---|
| No Schooling | 0.5% (18) | 0.0% (Data is updating) |
| High School Diploma | 22.8% (880) | 20.6% (604) |
| Less than High School | 12.4% (480) | 17.1% (502) |
| Bachelor's Degree and Higher | 12.4% (480) | 9.6% (282) |
Education Levels Comparison: Swanton vs Cuthbert
- A higher percentage of residents in Swanton have no formal schooling at 0.5% compared to 0.0% in Cuthbert.
- A higher percentage of residents in Swanton hold a high school diploma at 22.8% compared to 20.6% in Cuthbert.
- The percentage of residents with less than a high school education is higher in Cuthbert at 17.1%, compared to 12.4% in Swanton.
- A higher percentage of residents in Swanton hold a bachelor's degree or higher at 12.4% compared to 9.6% in Cuthbert.
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.