Demographics details for Keyser, WV vs Experiment, GA
Population Overview
Compare main population characteristics in Keyser, WV vs Experiment, GA.
| Data | Keyser | Experiment |
|---|---|---|
| Population | 4,849 | 2,578 |
| Median Age | 39.1 years | 37.3 years |
| Median Income | $46,724 | $28,955 |
| Married Families | 36.0% | 17.0% |
| Poverty Level | 15% | 13% |
| Unemployment Rate | 4.3 | 4.2 |
Population Comparison: Keyser vs Experiment
- In Keyser, the population is higher at 4,849, compared to 2,578 in Experiment.
- Residents in Keyser have a higher median age of 39.1 years compared to 37.3 years in Experiment.
- Keyser has a higher median income of $46,724 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Keyser at 36.0% compared to 17.0% in Experiment.
- Keyser has a higher poverty level at 15% compared to 13% in Experiment.
- The unemployment rate in Keyser is higher at 4.3%, compared to 4.2% in Experiment.
Demographics
Demographics Keyser vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Keyser | Experiment |
|---|---|---|
| Black | 4 | 55 |
| White | 95 | 38 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 6 |
| Two or More Races | 1 | Data is updating |
| American Indian | Data is updating | 1 |
Demographics Comparison: Keyser vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 4% in Keyser.
- Keyser has a higher percentage of White residents at 95% compared to 38% in Experiment.
- Both Keyser and Experiment have the same percentage of Asian residents at 0%.
- Experiment has a higher percentage of Hispanic residents at 6%, compared to 0% in Keyser.
- More residents identify as two or more races in Keyser at 1% compared to 0% in Experiment.
- In Experiment, the percentage of American Indian residents is higher at 1%, compared to 0% in Keyser.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keyser | Experiment |
|---|---|---|
| Mental Health Not Good | 20.0% | 22.7% |
| Physical Health Not Good | 13.6% | 19.6% |
| Depression | 27.3% | 22.2% |
| Smoking | 20.8% | 31.3% |
| Binge Drinking | 14.4% | 11.8% |
| Obesity | 35.3% | 44.5% |
| Disability Percentage | 20.0% | 18.0% |
Health Statistics Comparison: Keyser vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 20.0% in Keyser.
- Depression is more prevalent in Keyser at 27.3% compared to 22.2% in Experiment.
- Experiment has a higher smoking rate at 31.3% compared to 20.8% in Keyser.
- Binge drinking is more common in Keyser at 14.4% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 35.3% in Keyser.
- Disability percentages are higher in Keyser at 20.0% compared to 18.0% in Experiment.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Keyser | Experiment |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.2% (83) |
| High School Diploma | 22.3% (1,081) | 29.1% (749) |
| Less than High School | 15.1% (734) | 33.7% (869) |
| Bachelor's Degree and Higher | 18.8% (914) | 3.8% (98) |
Education Levels Comparison: Keyser vs Experiment
- In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 0.0% in Keyser.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 22.3% in Keyser.
- The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 15.1% in Keyser.
- A higher percentage of residents in Keyser hold 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.