Demographics details for Graham, NC vs Experiment, GA
Population Overview
Compare main population characteristics in Graham, NC vs Experiment, GA.
| Data | Graham | Experiment |
|---|---|---|
| Population | 17,856 | 2,578 |
| Median Age | 36.8 years | 37.3 years |
| Median Income | $51,482 | $28,955 |
| Married Families | 34.0% | 17.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Graham vs Experiment
- In Graham, the population is higher at 17,856, compared to 2,578 in Experiment.
- The median age in Experiment is higher at 37.3 years, compared to 36.8 years in Graham.
- Graham has a higher median income of $51,482 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Graham at 34.0% compared to 17.0% in Experiment.
- The poverty level is higher in Experiment at 13%, compared to 10% in Graham.
- The unemployment rate in Graham is higher at 4.5%, compared to 4.2% in Experiment.
Demographics
Demographics Graham vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Graham | Experiment |
|---|---|---|
| Black | 23 | 55 |
| White | 51 | 38 |
| Asian | 1 | Data is updating |
| Hispanic | 17 | 6 |
| Two or More Races | 8 | Data is updating |
| American Indian | Data is updating | 1 |
Demographics Comparison: Graham vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 23% in Graham.
- Graham has a higher percentage of White residents at 51% compared to 38% in Experiment.
- The Asian population is larger in Graham at 1% compared to 0% in Experiment.
- The Hispanic community is larger in Graham at 17% compared to 6% in Experiment.
- More residents identify as two or more races in Graham at 8% compared to 0% in Experiment.
- In Experiment, the percentage of American Indian residents is higher at 1%, compared to 0% in Graham.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Graham | Experiment |
|---|---|---|
| Mental Health Not Good | 18.3% | 22.7% |
| Physical Health Not Good | 13.2% | 19.6% |
| Depression | 25.2% | 22.2% |
| Smoking | 20.5% | 31.3% |
| Binge Drinking | 15.9% | 11.8% |
| Obesity | 38.9% | 44.5% |
| Disability Percentage | 14.0% | 18.0% |
Health Statistics Comparison: Graham vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 18.3% in Graham.
- Depression is more prevalent in Graham at 25.2% compared to 22.2% in Experiment.
- Experiment has a higher smoking rate at 31.3% compared to 20.5% in Graham.
- Binge drinking is more common in Graham at 15.9% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 38.9% in Graham.
- There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 14.0% in Graham.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Graham | Experiment |
|---|---|---|
| No Schooling | 1.3% (227) | 3.2% (83) |
| High School Diploma | 16.7% (2,976) | 29.1% (749) |
| Less than High School | 16.2% (2,884) | 33.7% (869) |
| Bachelor's Degree and Higher | 14.6% (2,610) | 3.8% (98) |
Education Levels Comparison: Graham vs Experiment
- In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 1.3% in Graham.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 16.7% in Graham.
- The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 16.2% in Graham.
- A higher percentage of residents in Graham hold a bachelor's degree or higher at 14.6% 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.