Demographics details for Lexington, KY vs Experiment, GA
Population Overview
Compare main population characteristics in Lexington, KY vs Experiment, GA.
| Data | Lexington | Experiment |
|---|---|---|
| Population | 320,347 | 2,578 |
| Median Age | 35.2 years | 37.3 years |
| Median Income | $66,087 | $28,955 |
| Married Families | 36.0% | 17.0% |
| Poverty Level | 11% | 13% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Lexington vs Experiment
- In Lexington, the population is higher at 320,347, compared to 2,578 in Experiment.
- The median age in Experiment is higher at 37.3 years, compared to 35.2 years in Lexington.
- Lexington has a higher median income of $66,087 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Lexington at 36.0% compared to 17.0% in Experiment.
- The poverty level is higher in Experiment at 13%, compared to 11% in Lexington.
- The unemployment rate is the same in both Lexington and Experiment at 4.2%.
Demographics
Demographics Lexington vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Lexington | Experiment |
|---|---|---|
| Black | 15 | 55 |
| White | 68 | 38 |
| Asian | 4 | Data is updating |
| Hispanic | 7 | 6 |
| Two or More Races | 6 | Data is updating |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lexington vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 15% in Lexington.
- Lexington has a higher percentage of White residents at 68% compared to 38% in Experiment.
- The Asian population is larger in Lexington at 4% compared to 0% in Experiment.
- The Hispanic community is larger in Lexington at 7% compared to 6% in Experiment.
- More residents identify as two or more races in Lexington at 6% compared to 0% in Experiment.
- In Experiment, the percentage of American Indian residents is higher at 1%, compared to 0% in Lexington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lexington | Experiment |
|---|---|---|
| Mental Health Not Good | 17.1% | 22.7% |
| Physical Health Not Good | 12.0% | 19.6% |
| Depression | 24.0% | 22.2% |
| Smoking | 17.0% | 31.3% |
| Binge Drinking | 15.9% | 11.8% |
| Obesity | 36.0% | 44.5% |
| Disability Percentage | 12.0% | 18.0% |
Health Statistics Comparison: Lexington vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 17.1% in Lexington.
- Depression is more prevalent in Lexington at 24.0% compared to 22.2% in Experiment.
- Experiment has a higher smoking rate at 31.3% compared to 17.0% in Lexington.
- Binge drinking is more common in Lexington at 15.9% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 36.0% in Lexington.
- There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 12.0% in Lexington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lexington | Experiment |
|---|---|---|
| No Schooling | 0.6% (2,032) | 3.2% (83) |
| High School Diploma | 9.9% (31,844) | 29.1% (749) |
| Less than High School | 8.7% (27,787) | 33.7% (869) |
| Bachelor's Degree and Higher | 30.4% (97,540) | 3.8% (98) |
Education Levels Comparison: Lexington vs Experiment
- In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 0.6% in Lexington.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 9.9% in Lexington.
- The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 8.7% in Lexington.
- A higher percentage of residents in Lexington hold a bachelor's degree or higher at 30.4% compared to 3.8% in Experiment.
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.