Demographics details for Horn lake, MS vs Experiment, GA
Population Overview
Compare main population characteristics in Horn lake, MS vs Experiment, GA.
| Data | Horn lake | Experiment |
|---|---|---|
| Population | 26,550 | 2,578 |
| Median Age | 35.5 years | 37.3 years |
| Median Income | $57,111 | $28,955 |
| Married Families | 31.0% | 17.0% |
| Poverty Level | 19% | 13% |
| Unemployment Rate | 3.7 | 4.2 |
Population Comparison: Horn lake vs Experiment
- In Horn lake, the population is higher at 26,550, compared to 2,578 in Experiment.
- The median age in Experiment is higher at 37.3 years, compared to 35.5 years in Horn lake.
- Horn lake has a higher median income of $57,111 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Horn lake at 31.0% compared to 17.0% in Experiment.
- Horn lake has a higher poverty level at 19% compared to 13% in Experiment.
- Experiment has a higher unemployment rate at 4.2% compared to 3.7% in Horn lake.
Demographics
Demographics Horn lake vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Horn lake | Experiment |
|---|---|---|
| Black | 45 | 55 |
| White | 40 | 38 |
| Asian | 1 | Data is updating |
| Hispanic | 9 | 6 |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | 1 |
Demographics Comparison: Horn lake vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 45% in Horn lake.
- Horn lake has a higher percentage of White residents at 40% compared to 38% in Experiment.
- The Asian population is larger in Horn lake at 1% compared to 0% in Experiment.
- The Hispanic community is larger in Horn lake at 9% compared to 6% in Experiment.
- More residents identify as two or more races in Horn lake at 5% compared to 0% in Experiment.
- In Experiment, the percentage of American Indian residents is higher at 1%, compared to 0% in Horn lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Horn lake | Experiment |
|---|---|---|
| Mental Health Not Good | 17.2% | 22.7% |
| Physical Health Not Good | 12.9% | 19.6% |
| Depression | 23.5% | 22.2% |
| Smoking | 20.4% | 31.3% |
| Binge Drinking | 12.9% | 11.8% |
| Obesity | 43.4% | 44.5% |
| Disability Percentage | 13.0% | 18.0% |
Health Statistics Comparison: Horn lake vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 17.2% in Horn lake.
- Depression is more prevalent in Horn lake at 23.5% compared to 22.2% in Experiment.
- Experiment has a higher smoking rate at 31.3% compared to 20.4% in Horn lake.
- Binge drinking is more common in Horn lake at 12.9% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 43.4% in Horn lake.
- There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 13.0% in Horn lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Horn lake | Experiment |
|---|---|---|
| No Schooling | 0.9% (252) | 3.2% (83) |
| High School Diploma | 18.1% (4,818) | 29.1% (749) |
| Less than High School | 16.3% (4,319) | 33.7% (869) |
| Bachelor's Degree and Higher | 10.5% (2,777) | 3.8% (98) |
Education Levels Comparison: Horn lake vs Experiment
- In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 0.9% in Horn lake.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 18.1% in Horn lake.
- The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 16.3% in Horn lake.
- A higher percentage of residents in Horn lake hold a bachelor's degree or higher at 10.5% 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.