Demographics details for Trinity, AL vs Experiment, GA
Population Overview
Compare main population characteristics in Trinity, AL vs Experiment, GA.
| Data | Trinity | Experiment |
|---|---|---|
| Population | 2,547 | 2,578 |
| Median Age | 38.1 years | 37.3 years |
| Median Income | $94,706 | $28,955 |
| Married Families | 44.0% | 17.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Trinity vs Experiment
- The population in Experiment is higher at 2,578, compared to 2,547 in Trinity.
- Residents in Trinity have a higher median age of 38.1 years compared to 37.3 years in Experiment.
- Trinity has a higher median income of $94,706 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Trinity at 44.0% compared to 17.0% in Experiment.
- The poverty level is higher in Experiment at 13%, compared to 10% in Trinity.
- The unemployment rate is the same in both Trinity and Experiment at 4.2%.
Demographics
Demographics Trinity vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Trinity | Experiment |
|---|---|---|
| Black | 9 | 55 |
| White | 73 | 38 |
| Asian | Data is updating | Data is updating |
| Hispanic | 11 | 6 |
| Two or More Races | 5 | Data is updating |
| American Indian | 2 | 1 |
Demographics Comparison: Trinity vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 9% in Trinity.
- Trinity has a higher percentage of White residents at 73% compared to 38% in Experiment.
- Both Trinity and Experiment have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Trinity at 11% compared to 6% in Experiment.
- More residents identify as two or more races in Trinity at 5% compared to 0% in Experiment.
- A greater percentage of American Indian residents live in Trinity at 2% compared to 1% in Experiment.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Trinity | Experiment |
|---|---|---|
| Mental Health Not Good | 18.6% | 22.7% |
| Physical Health Not Good | 12.0% | 19.6% |
| Depression | 24.7% | 22.2% |
| Smoking | 18.2% | 31.3% |
| Binge Drinking | 16.6% | 11.8% |
| Obesity | 41.0% | 44.5% |
| Disability Percentage | 8.0% | 18.0% |
Health Statistics Comparison: Trinity vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 18.6% in Trinity.
- Depression is more prevalent in Trinity at 24.7% compared to 22.2% in Experiment.
- Experiment has a higher smoking rate at 31.3% compared to 18.2% in Trinity.
- Binge drinking is more common in Trinity at 16.6% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 41.0% in Trinity.
- There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 8.0% in Trinity.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Trinity | Experiment |
|---|---|---|
| No Schooling | 0.2% (4) | 3.2% (83) |
| High School Diploma | 22.5% (573) | 29.1% (749) |
| Less than High School | 3.8% (96) | 33.7% (869) |
| Bachelor's Degree and Higher | 9.8% (249) | 3.8% (98) |
Education Levels Comparison: Trinity vs Experiment
- In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 0.2% in Trinity.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 22.5% in Trinity.
- The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 3.8% in Trinity.
- A higher percentage of residents in Trinity hold a bachelor's degree or higher at 9.8% 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.