Demographics details for Experiment, GA vs Washington, MO
Population Overview
Compare main population characteristics in Experiment, GA vs Washington, MO.
| Data | Experiment | Washington |
|---|---|---|
| Population | 2,578 | 15,075 |
| Median Age | 37.3 years | 40.9 years |
| Median Income | $28,955 | $75,127 |
| Married Families | 17.0% | 41.0% |
| Poverty Level | 13% | 8% |
| Unemployment Rate | 4.2 | 2.5 |
Population Comparison: Experiment vs Washington
- The population in Washington is higher at 15,075, compared to 2,578 in Experiment.
- The median age in Washington is higher at 40.9 years, compared to 37.3 years in Experiment.
- Washington has a higher median income of $75,127, compared to $28,955 in Experiment.
- In Washington, the percentage of married families is higher at 41.0%, compared to 17.0% in Experiment.
- Experiment has a higher poverty level at 13% compared to 8% in Washington.
- The unemployment rate in Experiment is higher at 4.2%, compared to 2.5% in Washington.
Demographics
Demographics Experiment vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Experiment | Washington |
|---|---|---|
| Black | 55 | Data is updating |
| White | 38 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 6 | 2 |
| Two or More Races | Data is updating | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Experiment vs Washington
- A higher percentage of Black residents are in Experiment at 55% compared to 0% in Washington.
- The percentage of White residents is higher in Washington at 91% compared to 38% in Experiment.
- Both Experiment and Washington have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Experiment at 6% compared to 2% in Washington.
- The percentage of residents identifying as two or more races is higher in Washington at 7%, compared to 0% in Experiment.
- A greater percentage of American Indian residents live in Experiment at 1% compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Experiment | Washington |
|---|---|---|
| Mental Health Not Good | 22.7% | 16.8% |
| Physical Health Not Good | 19.6% | 11.0% |
| Depression | 22.2% | 24.6% |
| Smoking | 31.3% | 18.3% |
| Binge Drinking | 11.8% | 19.8% |
| Obesity | 44.5% | 36.6% |
| Disability Percentage | 18.0% | 14.0% |
Health Statistics Comparison: Experiment vs Washington
- More residents in Experiment report poor mental health at 22.7% compared to 16.8% in Washington.
- Higher depression rates are seen in Washington at 24.6% versus 22.2% in Experiment.
- Smoking is more prevalent in Experiment at 31.3% compared to 18.3% in Washington.
- More residents engage in binge drinking in Washington at 19.8% compared to 11.8% in Experiment.
- Obesity rates are higher in Experiment at 44.5% compared to 36.6% in Washington.
- Disability percentages are higher in Experiment at 18.0% compared to 14.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Experiment | Washington |
|---|---|---|
| No Schooling | 3.2% (83) | 0.3% (41) |
| High School Diploma | 29.1% (749) | 15.0% (2,260) |
| Less than High School | 33.7% (869) | 8.7% (1,311) |
| Bachelor's Degree and Higher | 3.8% (98) | 18.8% (2,838) |
Education Levels Comparison: Experiment vs Washington
- A higher percentage of residents in Experiment have no formal schooling at 3.2% compared to 0.3% in Washington.
- A higher percentage of residents in Experiment hold a high school diploma at 29.1% compared to 15.0% in Washington.
- More residents in Experiment have less than a high school education at 33.7% compared to 8.7% in Washington.
- In Washington, a larger share of residents have a bachelor's degree or higher at 18.8% 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.