Demographics details for Experiment, GA vs Bradenton, FL
Population Overview
Compare main population characteristics in Experiment, GA vs Bradenton, FL.
Data | Experiment | Bradenton |
---|---|---|
Population | 2,578 | 56,961 |
Median Age | 37.3 years | 45.4 years |
Median Income | $28,955 | $55,795 |
Married Families | 17.0% | 34.0% |
Poverty Level | 13% | 12% |
Unemployment Rate | 4.2 | 3.6 |
Population Comparison: Experiment vs Bradenton
- The population in Bradenton is higher at 56,961, compared to 2,578 in Experiment.
- The median age in Bradenton is higher at 45.4 years, compared to 37.3 years in Experiment.
- Bradenton has a higher median income of $55,795, compared to $28,955 in Experiment.
- In Bradenton, the percentage of married families is higher at 34.0%, compared to 17.0% in Experiment.
- Experiment has a higher poverty level at 13% compared to 12% in Bradenton.
- The unemployment rate in Experiment is higher at 4.2%, compared to 3.6% in Bradenton.
Demographics
Demographics Experiment vs Bradenton provide insight into the diversity of the communities to compare.
Demographic | Experiment | Bradenton |
---|---|---|
Black | 55 | 14 |
White | 38 | 54 |
Asian | Data is updating | 2 |
Hispanic | 6 | 22 |
Two or More Races | Data is updating | 8 |
American Indian | 1 | Data is updating |
Demographics Comparison: Experiment vs Bradenton
- A higher percentage of Black residents are in Experiment at 55% compared to 14% in Bradenton.
- The percentage of White residents is higher in Bradenton at 54% compared to 38% in Experiment.
- In Bradenton, the Asian population stands at 2%, greater than 0% in Experiment.
- Bradenton 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 Bradenton at 8%, compared to 0% in Experiment.
- A greater percentage of American Indian residents live in Experiment at 1% compared to 0% in Bradenton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Experiment | Bradenton |
---|---|---|
Mental Health Not Good | 22.7% | 16.8% |
Physical Health Not Good | 19.6% | 12.4% |
Depression | 22.2% | 20.1% |
Smoking | 31.3% | 21.5% |
Binge Drinking | 11.8% | 15.3% |
Obesity | 44.5% | 33.2% |
Disability Percentage | 18.0% | 14.0% |
Health Statistics Comparison: Experiment vs Bradenton
- More residents in Experiment report poor mental health at 22.7% compared to 16.8% in Bradenton.
- Depression is more prevalent in Experiment at 22.2% compared to 20.1% in Bradenton.
- Smoking is more prevalent in Experiment at 31.3% compared to 21.5% in Bradenton.
- More residents engage in binge drinking in Bradenton at 15.3% compared to 11.8% in Experiment.
- Obesity rates are higher in Experiment at 44.5% compared to 33.2% in Bradenton.
- Disability percentages are higher in Experiment at 18.0% compared to 14.0% in Bradenton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Experiment | Bradenton |
---|---|---|
No Schooling | 3.2% (83) | 0.9% (506) |
High School Diploma | 29.1% (749) | 19.3% (10,990) |
Less than High School | 33.7% (869) | 15.2% (8,653) |
Bachelor's Degree and Higher | 3.8% (98) | 19.3% (10,990) |
Education Levels Comparison: Experiment vs Bradenton
- A higher percentage of residents in Experiment have no formal schooling at 3.2% compared to 0.9% in Bradenton.
- A higher percentage of residents in Experiment hold a high school diploma at 29.1% compared to 19.3% in Bradenton.
- More residents in Experiment have less than a high school education at 33.7% compared to 15.2% in Bradenton.
- In Bradenton, a larger share of residents have a bachelor's degree or higher at 19.3% 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.