Demographics details for Hartshorne, OK vs Experiment, GA
Population Overview
Compare main population characteristics in Hartshorne, OK vs Experiment, GA.
| Data | Hartshorne | Experiment |
|---|---|---|
| Population | 1,918 | 2,578 |
| Median Age | 42.4 years | 37.3 years |
| Median Income | $36,154 | $28,955 |
| Married Families | 28.0% | 17.0% |
| Poverty Level | 15% | 13% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Hartshorne vs Experiment
- The population in Experiment is higher at 2,578, compared to 1,918 in Hartshorne.
- Residents in Hartshorne have a higher median age of 42.4 years compared to 37.3 years in Experiment.
- Hartshorne has a higher median income of $36,154 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Hartshorne at 28.0% compared to 17.0% in Experiment.
- Hartshorne has a higher poverty level at 15% compared to 13% in Experiment.
- Experiment has a higher unemployment rate at 4.2% compared to 3.5% in Hartshorne.
Demographics
Demographics Hartshorne vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Hartshorne | Experiment |
|---|---|---|
| Black | 2 | 55 |
| White | 62 | 38 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 6 |
| Two or More Races | 24 | Data is updating |
| American Indian | 9 | 1 |
Demographics Comparison: Hartshorne vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 2% in Hartshorne.
- Hartshorne has a higher percentage of White residents at 62% compared to 38% in Experiment.
- Both Hartshorne and Experiment have the same percentage of Asian residents at 0%.
- Experiment has a higher percentage of Hispanic residents at 6%, compared to 3% in Hartshorne.
- More residents identify as two or more races in Hartshorne at 24% compared to 0% in Experiment.
- A greater percentage of American Indian residents live in Hartshorne at 9% compared to 1% in Experiment.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hartshorne | Experiment |
|---|---|---|
| Mental Health Not Good | 20.0% | 22.7% |
| Physical Health Not Good | 13.9% | 19.6% |
| Depression | 26.6% | 22.2% |
| Smoking | 22.4% | 31.3% |
| Binge Drinking | 15.2% | 11.8% |
| Obesity | 41.3% | 44.5% |
| Disability Percentage | 27.0% | 18.0% |
Health Statistics Comparison: Hartshorne vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 20.0% in Hartshorne.
- Depression is more prevalent in Hartshorne at 26.6% compared to 22.2% in Experiment.
- Experiment has a higher smoking rate at 31.3% compared to 22.4% in Hartshorne.
- Binge drinking is more common in Hartshorne at 15.2% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 41.3% in Hartshorne.
- Disability percentages are higher in Hartshorne at 27.0% compared to 18.0% in Experiment.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hartshorne | Experiment |
|---|---|---|
| No Schooling | 1.3% (25) | 3.2% (83) |
| High School Diploma | 20.2% (387) | 29.1% (749) |
| Less than High School | 15.5% (297) | 33.7% (869) |
| Bachelor's Degree and Higher | 11.8% (227) | 3.8% (98) |
Education Levels Comparison: Hartshorne vs Experiment
- In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 1.3% in Hartshorne.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 20.2% in Hartshorne.
- The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 15.5% in Hartshorne.
- A higher percentage of residents in Hartshorne hold a bachelor's degree or higher at 11.8% 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.