Demographics details for Riverton, WY vs Experiment, GA
Population Overview
Compare main population characteristics in Riverton, WY vs Experiment, GA.
| Data | Riverton | Experiment |
|---|---|---|
| Population | 10,776 | 2,578 |
| Median Age | 36.4 years | 37.3 years |
| Median Income | $50,861 | $28,955 |
| Married Families | 32.0% | 17.0% |
| Poverty Level | 8% | 13% |
| Unemployment Rate | 2.5 | 4.2 |
Population Comparison: Riverton vs Experiment
- In Riverton, the population is higher at 10,776, compared to 2,578 in Experiment.
- The median age in Experiment is higher at 37.3 years, compared to 36.4 years in Riverton.
- Riverton has a higher median income of $50,861 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Riverton at 32.0% compared to 17.0% in Experiment.
- The poverty level is higher in Experiment at 13%, compared to 8% in Riverton.
- Experiment has a higher unemployment rate at 4.2% compared to 2.5% in Riverton.
Demographics
Demographics Riverton vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Riverton | Experiment |
|---|---|---|
| Black | 1 | 55 |
| White | 69 | 38 |
| Asian | 1 | Data is updating |
| Hispanic | 13 | 6 |
| Two or More Races | 6 | Data is updating |
| American Indian | 10 | 1 |
Demographics Comparison: Riverton vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 1% in Riverton.
- Riverton has a higher percentage of White residents at 69% compared to 38% in Experiment.
- The Asian population is larger in Riverton at 1% compared to 0% in Experiment.
- The Hispanic community is larger in Riverton at 13% compared to 6% in Experiment.
- More residents identify as two or more races in Riverton at 6% compared to 0% in Experiment.
- A greater percentage of American Indian residents live in Riverton at 10% compared to 1% in Experiment.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Riverton | Experiment |
|---|---|---|
| Mental Health Not Good | 16.4% | 22.7% |
| Physical Health Not Good | 11.5% | 19.6% |
| Depression | 20.9% | 22.2% |
| Smoking | 19.1% | 31.3% |
| Binge Drinking | 17.8% | 11.8% |
| Obesity | 32.3% | 44.5% |
| Disability Percentage | 13.0% | 18.0% |
Health Statistics Comparison: Riverton vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 16.4% in Riverton.
- Higher depression rates are seen in Experiment at 22.2% versus 20.9% in Riverton.
- Experiment has a higher smoking rate at 31.3% compared to 19.1% in Riverton.
- Binge drinking is more common in Riverton at 17.8% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 32.3% in Riverton.
- There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 13.0% in Riverton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Riverton | Experiment |
|---|---|---|
| No Schooling | 0.8% (87) | 3.2% (83) |
| High School Diploma | 18.6% (2,000) | 29.1% (749) |
| Less than High School | 6.5% (701) | 33.7% (869) |
| Bachelor's Degree and Higher | 13.8% (1,483) | 3.8% (98) |
Education Levels Comparison: Riverton vs Experiment
- In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 0.8% in Riverton.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 18.6% in Riverton.
- The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 6.5% in Riverton.
- A higher percentage of residents in Riverton hold a bachelor's degree or higher at 13.8% 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.