Demographics details for Grand saline, TX vs Experiment, GA
Population Overview
Compare main population characteristics in Grand saline, TX vs Experiment, GA.
| Data | Grand saline | Experiment |
|---|---|---|
| Population | 3,219 | 2,578 |
| Median Age | 42.6 years | 37.3 years |
| Median Income | $37,823 | $28,955 |
| Married Families | 33.0% | 17.0% |
| Poverty Level | 16% | 13% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Grand saline vs Experiment
- In Grand saline, the population is higher at 3,219, compared to 2,578 in Experiment.
- Residents in Grand saline have a higher median age of 42.6 years compared to 37.3 years in Experiment.
- Grand saline has a higher median income of $37,823 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Grand saline at 33.0% compared to 17.0% in Experiment.
- Grand saline has a higher poverty level at 16% compared to 13% in Experiment.
- Experiment has a higher unemployment rate at 4.2% compared to 3.5% in Grand saline.
Demographics
Demographics Grand saline vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Grand saline | Experiment |
|---|---|---|
| Black | 1 | 55 |
| White | 56 | 38 |
| Asian | Data is updating | Data is updating |
| Hispanic | 31 | 6 |
| Two or More Races | 11 | Data is updating |
| American Indian | 1 | 1 |
Demographics Comparison: Grand saline vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 1% in Grand saline.
- Grand saline has a higher percentage of White residents at 56% compared to 38% in Experiment.
- Both Grand saline and Experiment have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Grand saline at 31% compared to 6% in Experiment.
- More residents identify as two or more races in Grand saline at 11% compared to 0% in Experiment.
- The percentage of American Indian residents is the same in both Grand saline and Experiment at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Grand saline | Experiment |
|---|---|---|
| Mental Health Not Good | 22.1% | 22.7% |
| Physical Health Not Good | 16.9% | 19.6% |
| Depression | 27.9% | 22.2% |
| Smoking | 26.7% | 31.3% |
| Binge Drinking | 16.7% | 11.8% |
| Obesity | 40.2% | 44.5% |
| Disability Percentage | 17.0% | 18.0% |
Health Statistics Comparison: Grand saline vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 22.1% in Grand saline.
- Depression is more prevalent in Grand saline at 27.9% compared to 22.2% in Experiment.
- Experiment has a higher smoking rate at 31.3% compared to 26.7% in Grand saline.
- Binge drinking is more common in Grand saline at 16.7% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 40.2% in Grand saline.
- There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 17.0% in Grand saline.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Grand saline | Experiment |
|---|---|---|
| No Schooling | 2.9% (94) | 3.2% (83) |
| High School Diploma | 17.6% (568) | 29.1% (749) |
| Less than High School | 44.1% (1,421) | 33.7% (869) |
| Bachelor's Degree and Higher | 6.6% (213) | 3.8% (98) |
Education Levels Comparison: Grand saline vs Experiment
- In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 2.9% in Grand saline.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 17.6% in Grand saline.
- More residents in Grand saline have less than a high school education at 44.1% compared to 33.7% in Experiment.
- A higher percentage of residents in Grand saline hold a bachelor's degree or higher at 6.6% 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.