Demographics details for Valdosta, GA vs Jefferson, SD
Population Overview
Compare main population characteristics in Valdosta, GA vs Jefferson, SD.
| Data | Valdosta | Jefferson |
|---|---|---|
| Population | 55,074 | 457 |
| Median Age | 29.2 years | 37.1 years |
| Median Income | $41,365 | $77,601 |
| Married Families | 25.0% | 59.0% |
| Poverty Level | 19% | 5% |
| Unemployment Rate | 5.1 | 2.3 |
Population Comparison: Valdosta vs Jefferson
- In Valdosta, the population is higher at 55,074, compared to 457 in Jefferson.
- The median age in Jefferson is higher at 37.1 years, compared to 29.2 years in Valdosta.
- Jefferson has a higher median income of $77,601, compared to $41,365 in Valdosta.
- In Jefferson, the percentage of married families is higher at 59.0%, compared to 25.0% in Valdosta.
- Valdosta has a higher poverty level at 19% compared to 5% in Jefferson.
- The unemployment rate in Valdosta is higher at 5.1%, compared to 2.3% in Jefferson.
Demographics
Demographics Valdosta vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Valdosta | Jefferson |
|---|---|---|
| Black | 56 | Data is updating |
| White | 34 | 85 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | 6 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Valdosta vs Jefferson
- A higher percentage of Black residents are in Valdosta at 56% compared to 0% in Jefferson.
- The percentage of White residents is higher in Jefferson at 85% compared to 34% in Valdosta.
- The Asian population is larger in Valdosta at 1% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 6%, compared to 5% in Valdosta.
- Both Valdosta and Jefferson have the same percentage of residents identifying as two or more races at 4%.
- In Jefferson, the percentage of American Indian residents is higher at 5%, compared to 0% in Valdosta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Valdosta | Jefferson |
|---|---|---|
| Mental Health Not Good | 19.7% | 12.5% |
| Physical Health Not Good | 15.4% | 8.2% |
| Depression | 22.2% | 16.7% |
| Smoking | 23.1% | 14.5% |
| Binge Drinking | 13.0% | 20.4% |
| Obesity | 43.5% | 38.6% |
| Disability Percentage | 10.0% | 14.0% |
Health Statistics Comparison: Valdosta vs Jefferson
- More residents in Valdosta report poor mental health at 19.7% compared to 12.5% in Jefferson.
- Depression is more prevalent in Valdosta at 22.2% compared to 16.7% in Jefferson.
- Smoking is more prevalent in Valdosta at 23.1% compared to 14.5% in Jefferson.
- More residents engage in binge drinking in Jefferson at 20.4% compared to 13.0% in Valdosta.
- Obesity rates are higher in Valdosta at 43.5% compared to 38.6% in Jefferson.
- There is a higher percentage of disabled individuals in Jefferson at 14.0% 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 | Valdosta | Jefferson |
|---|---|---|
| No Schooling | 1.0% (538) | 0.0% (Data is updating) |
| High School Diploma | 16.3% (8,967) | 22.3% (102) |
| Less than High School | 8.9% (4,906) | 7.9% (36) |
| Bachelor's Degree and Higher | 15.9% (8,750) | 23.0% (105) |
Education Levels Comparison: Valdosta vs Jefferson
- A higher percentage of residents in Valdosta have no formal schooling at 1.0% compared to 0.0% in Jefferson.
- In Jefferson, the rate of residents with high school diplomas is higher at 22.3% compared to 16.3% in Valdosta.
- More residents in Valdosta have less than a high school education at 8.9% compared to 7.9% in Jefferson.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 23.0% compared to 15.9% in Valdosta.
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.