Demographics details for Experiment, GA vs Cape coral, FL
Population Overview
Compare main population characteristics in Experiment, GA vs Cape coral, FL.
| Data | Experiment | Cape coral |
|---|---|---|
| Population | 2,578 | 216,992 |
| Median Age | 37.3 years | 48.2 years |
| Median Income | $28,955 | $72,474 |
| Married Families | 17.0% | 42.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 4.2 | 3.6 |
Population Comparison: Experiment vs Cape coral
- The population in Cape coral is higher at 216,992, compared to 2,578 in Experiment.
- The median age in Cape coral is higher at 48.2 years, compared to 37.3 years in Experiment.
- Cape coral has a higher median income of $72,474, compared to $28,955 in Experiment.
- In Cape coral, the percentage of married families is higher at 42.0%, compared to 17.0% in Experiment.
- Experiment has a higher poverty level at 13% compared to 10% in Cape coral.
- The unemployment rate in Experiment is higher at 4.2%, compared to 3.6% in Cape coral.
Demographics
Demographics Experiment vs Cape coral provide insight into the diversity of the communities to compare.
| Demographic | Experiment | Cape coral |
|---|---|---|
| Black | 55 | 4 |
| White | 38 | 60 |
| Asian | Data is updating | 2 |
| Hispanic | 6 | 22 |
| Two or More Races | Data is updating | 12 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Experiment vs Cape coral
- A higher percentage of Black residents are in Experiment at 55% compared to 4% in Cape coral.
- The percentage of White residents is higher in Cape coral at 60% compared to 38% in Experiment.
- In Cape coral, the Asian population stands at 2%, greater than 0% in Experiment.
- Cape coral has a higher percentage of Hispanic residents at 22%, compared to 6% in Experiment.
- The percentage of residents identifying as two or more races is higher in Cape coral at 12%, compared to 0% in Experiment.
- A greater percentage of American Indian residents live in Experiment at 1% compared to 0% in Cape coral.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Experiment | Cape coral |
|---|---|---|
| Mental Health Not Good | 22.7% | 15.5% |
| Physical Health Not Good | 19.6% | 10.5% |
| Depression | 22.2% | 18.9% |
| Smoking | 31.3% | 18.3% |
| Binge Drinking | 11.8% | 18.0% |
| Obesity | 44.5% | 27.1% |
| Disability Percentage | 18.0% | 12.0% |
Health Statistics Comparison: Experiment vs Cape coral
- More residents in Experiment report poor mental health at 22.7% compared to 15.5% in Cape coral.
- Depression is more prevalent in Experiment at 22.2% compared to 18.9% in Cape coral.
- Smoking is more prevalent in Experiment at 31.3% compared to 18.3% in Cape coral.
- More residents engage in binge drinking in Cape coral at 18.0% compared to 11.8% in Experiment.
- Obesity rates are higher in Experiment at 44.5% compared to 27.1% in Cape coral.
- Disability percentages are higher in Experiment at 18.0% compared to 12.0% in Cape coral.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Experiment | Cape coral |
|---|---|---|
| No Schooling | 3.2% (83) | 1.0% (2,074) |
| High School Diploma | 29.1% (749) | 22.0% (47,769) |
| Less than High School | 33.7% (869) | 9.2% (19,996) |
| Bachelor's Degree and Higher | 3.8% (98) | 17.2% (37,339) |
Education Levels Comparison: Experiment vs Cape coral
- A higher percentage of residents in Experiment have no formal schooling at 3.2% compared to 1.0% in Cape coral.
- A higher percentage of residents in Experiment hold a high school diploma at 29.1% compared to 22.0% in Cape coral.
- More residents in Experiment have less than a high school education at 33.7% compared to 9.2% in Cape coral.
- In Cape coral, a larger share of residents have a bachelor's degree or higher at 17.2% 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.