Demographics details for Vidalia, GA vs Wellington, FL
Population Overview
Compare main population characteristics in Vidalia, GA vs Wellington, FL.
| Data | Vidalia | Wellington |
|---|---|---|
| Population | 10,668 | 61,438 |
| Median Age | 37.4 years | 41.5 years |
| Median Income | $47,124 | $105,848 |
| Married Families | 32.0% | 45.0% |
| Poverty Level | 14% | 8% |
| Unemployment Rate | 5.0 | 3.3 |
Population Comparison: Vidalia vs Wellington
- The population in Wellington is higher at 61,438, compared to 10,668 in Vidalia.
- The median age in Wellington is higher at 41.5 years, compared to 37.4 years in Vidalia.
- Wellington has a higher median income of $105,848, compared to $47,124 in Vidalia.
- In Wellington, the percentage of married families is higher at 45.0%, compared to 32.0% in Vidalia.
- Vidalia has a higher poverty level at 14% compared to 8% in Wellington.
- The unemployment rate in Vidalia is higher at 5.0%, compared to 3.3% in Wellington.
Demographics
Demographics Vidalia vs Wellington provide insight into the diversity of the communities to compare.
| Demographic | Vidalia | Wellington |
|---|---|---|
| Black | 39 | 11 |
| White | 48 | 42 |
| Asian | 2 | 5 |
| Hispanic | 4 | 27 |
| Two or More Races | 7 | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Vidalia vs Wellington
- A higher percentage of Black residents are in Vidalia at 39% compared to 11% in Wellington.
- Vidalia has a higher percentage of White residents at 48% compared to 42% in Wellington.
- In Wellington, the Asian population stands at 5%, greater than 2% in Vidalia.
- Wellington has a higher percentage of Hispanic residents at 27%, compared to 4% in Vidalia.
- The percentage of residents identifying as two or more races is higher in Wellington at 15%, compared to 7% in Vidalia.
- The percentage of American Indian residents is the same in both Vidalia and Wellington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Vidalia | Wellington |
|---|---|---|
| Mental Health Not Good | 18.6% | 14.1% |
| Physical Health Not Good | 14.2% | 8.5% |
| Depression | 21.4% | 17.2% |
| Smoking | 20.9% | 13.9% |
| Binge Drinking | 13.9% | 16.7% |
| Obesity | 42.2% | 24.0% |
| Disability Percentage | 18.0% | 9.0% |
Health Statistics Comparison: Vidalia vs Wellington
- More residents in Vidalia report poor mental health at 18.6% compared to 14.1% in Wellington.
- Depression is more prevalent in Vidalia at 21.4% compared to 17.2% in Wellington.
- Smoking is more prevalent in Vidalia at 20.9% compared to 13.9% in Wellington.
- More residents engage in binge drinking in Wellington at 16.7% compared to 13.9% in Vidalia.
- Obesity rates are higher in Vidalia at 42.2% compared to 24.0% in Wellington.
- Disability percentages are higher in Vidalia at 18.0% compared to 9.0% in Wellington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Vidalia | Wellington |
|---|---|---|
| No Schooling | 0.9% (97) | 0.7% (431) |
| High School Diploma | 14.4% (1,539) | 10.3% (6,304) |
| Less than High School | 7.9% (846) | 6.9% (4,234) |
| Bachelor's Degree and Higher | 14.3% (1,525) | 32.5% (19,977) |
Education Levels Comparison: Vidalia vs Wellington
- A higher percentage of residents in Vidalia have no formal schooling at 0.9% compared to 0.7% in Wellington.
- A higher percentage of residents in Vidalia hold a high school diploma at 14.4% compared to 10.3% in Wellington.
- More residents in Vidalia have less than a high school education at 7.9% compared to 6.9% in Wellington.
- In Wellington, a larger share of residents have a bachelor's degree or higher at 32.5% compared to 14.3% in Vidalia.
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.