Demographics details for San jose, CA vs Experiment, GA
Population Overview
Compare main population characteristics in San jose, CA vs Experiment, GA.
| Data | San jose | Experiment |
|---|---|---|
| Population | 971,233 | 2,578 |
| Median Age | 37.8 years | 37.3 years |
| Median Income | $136,010 | $28,955 |
| Married Families | 42.0% | 17.0% |
| Poverty Level | 11% | 13% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: San jose vs Experiment
- In San jose, the population is higher at 971,233, compared to 2,578 in Experiment.
- Residents in San jose have a higher median age of 37.8 years compared to 37.3 years in Experiment.
- San jose has a higher median income of $136,010 compared to $28,955 in Experiment.
- A higher percentage of married families is found in San jose at 42.0% compared to 17.0% in Experiment.
- The poverty level is higher in Experiment at 13%, compared to 11% in San jose.
- The unemployment rate is the same in both San jose and Experiment at 4.2%.
Demographics
Demographics San jose vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | San jose | Experiment |
|---|---|---|
| Black | 3 | 55 |
| White | 12 | 38 |
| Asian | 39 | Data is updating |
| Hispanic | 32 | 6 |
| Two or More Races | 13 | Data is updating |
| American Indian | 1 | 1 |
Demographics Comparison: San jose vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 3% in San jose.
- The percentage of White residents is higher in Experiment at 38% compared to 12% in San jose.
- The Asian population is larger in San jose at 39% compared to 0% in Experiment.
- The Hispanic community is larger in San jose at 32% compared to 6% in Experiment.
- More residents identify as two or more races in San jose at 13% compared to 0% in Experiment.
- The percentage of American Indian residents is the same in both San jose and Experiment at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | San jose | Experiment |
|---|---|---|
| Mental Health Not Good | 13.1% | 22.7% |
| Physical Health Not Good | 8.7% | 19.6% |
| Depression | 14.7% | 22.2% |
| Smoking | 8.7% | 31.3% |
| Binge Drinking | 13.8% | 11.8% |
| Obesity | 20.6% | 44.5% |
| Disability Percentage | 9.0% | 18.0% |
Health Statistics Comparison: San jose vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 13.1% in San jose.
- Higher depression rates are seen in Experiment at 22.2% versus 14.7% in San jose.
- Experiment has a higher smoking rate at 31.3% compared to 8.7% in San jose.
- Binge drinking is more common in San jose at 13.8% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 20.6% in San jose.
- There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 9.0% in San jose.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | San jose | Experiment |
|---|---|---|
| No Schooling | 2.7% (26,673) | 3.2% (83) |
| High School Diploma | 10.3% (100,469) | 29.1% (749) |
| Less than High School | 17.0% (165,241) | 33.7% (869) |
| Bachelor's Degree and Higher | 33.0% (320,589) | 3.8% (98) |
Education Levels Comparison: San jose vs Experiment
- In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 2.7% in San jose.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 10.3% in San jose.
- The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 17.0% in San jose.
- A higher percentage of residents in San jose hold a bachelor's degree or higher at 33.0% 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.