Demographics details for Sanger, CA vs Experiment, GA
Population Overview
Compare main population characteristics in Sanger, CA vs Experiment, GA.
| Data | Sanger | Experiment |
|---|---|---|
| Population | 26,600 | 2,578 |
| Median Age | 31.8 years | 37.3 years |
| Median Income | $69,333 | $28,955 |
| Married Families | 34.0% | 17.0% |
| Poverty Level | 16% | 13% |
| Unemployment Rate | 8.2 | 4.2 |
Population Comparison: Sanger vs Experiment
- In Sanger, the population is higher at 26,600, compared to 2,578 in Experiment.
- The median age in Experiment is higher at 37.3 years, compared to 31.8 years in Sanger.
- Sanger has a higher median income of $69,333 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Sanger at 34.0% compared to 17.0% in Experiment.
- Sanger has a higher poverty level at 16% compared to 13% in Experiment.
- The unemployment rate in Sanger is higher at 8.2%, compared to 4.2% in Experiment.
Demographics
Demographics Sanger vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Sanger | Experiment |
|---|---|---|
| Black | Data is updating | 55 |
| White | 3 | 38 |
| Asian | 3 | Data is updating |
| Hispanic | 77 | 6 |
| Two or More Races | 15 | Data is updating |
| American Indian | 2 | 1 |
Demographics Comparison: Sanger vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 0% in Sanger.
- The percentage of White residents is higher in Experiment at 38% compared to 3% in Sanger.
- The Asian population is larger in Sanger at 3% compared to 0% in Experiment.
- The Hispanic community is larger in Sanger at 77% compared to 6% in Experiment.
- More residents identify as two or more races in Sanger at 15% compared to 0% in Experiment.
- A greater percentage of American Indian residents live in Sanger at 2% compared to 1% in Experiment.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sanger | Experiment |
|---|---|---|
| Mental Health Not Good | 17.5% | 22.7% |
| Physical Health Not Good | 14.7% | 19.6% |
| Depression | 17.2% | 22.2% |
| Smoking | 14.7% | 31.3% |
| Binge Drinking | 13.8% | 11.8% |
| Obesity | 40.2% | 44.5% |
| Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Sanger vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 17.5% in Sanger.
- Higher depression rates are seen in Experiment at 22.2% versus 17.2% in Sanger.
- Experiment has a higher smoking rate at 31.3% compared to 14.7% in Sanger.
- Binge drinking is more common in Sanger at 13.8% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 40.2% in Sanger.
- There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 11.0% in Sanger.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sanger | Experiment |
|---|---|---|
| No Schooling | 2.9% (768) | 3.2% (83) |
| High School Diploma | 13.5% (3,599) | 29.1% (749) |
| Less than High School | 32.2% (8,575) | 33.7% (869) |
| Bachelor's Degree and Higher | 7.8% (2,067) | 3.8% (98) |
Education Levels Comparison: Sanger vs Experiment
- In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 2.9% in Sanger.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 13.5% in Sanger.
- The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 32.2% in Sanger.
- A higher percentage of residents in Sanger hold a bachelor's degree or higher at 7.8% 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.