Demographics details for Columbus, OH vs Powder springs, GA
Population Overview
Compare main population characteristics in Columbus, OH vs Powder springs, GA.
| Data | Columbus | Powder springs |
|---|---|---|
| Population | 907,971 | 17,337 |
| Median Age | 32.7 years | 38.7 years |
| Median Income | $62,994 | $88,311 |
| Married Families | 29.0% | 36.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Columbus vs Powder springs
- In Columbus, the population is higher at 907,971, compared to 17,337 in Powder springs.
- The median age in Powder springs is higher at 38.7 years, compared to 32.7 years in Columbus.
- Powder springs has a higher median income of $88,311, compared to $62,994 in Columbus.
- In Powder springs, the percentage of married families is higher at 36.0%, compared to 29.0% in Columbus.
- Columbus has a higher poverty level at 14% compared to 12% in Powder springs.
- The unemployment rate in Columbus is higher at 5.0%, compared to 3.5% in Powder springs.
Demographics
Demographics Columbus vs Powder springs provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Powder springs |
|---|---|---|
| Black | 29 | 51 |
| White | 51 | 22 |
| Asian | 6 | 2 |
| Hispanic | 7 | 19 |
| Two or More Races | 7 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Columbus vs Powder springs
- In Powder springs, the percentage of Black residents is higher at 51% compared to 29% in Columbus.
- Columbus has a higher percentage of White residents at 51% compared to 22% in Powder springs.
- The Asian population is larger in Columbus at 6% compared to 2% in Powder springs.
- Powder springs has a higher percentage of Hispanic residents at 19%, compared to 7% in Columbus.
- More residents identify as two or more races in Columbus at 7% compared to 5% in Powder springs.
- In Powder springs, the percentage of American Indian residents is higher at 1%, compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Powder springs |
|---|---|---|
| Mental Health Not Good | 18.4% | 15.0% |
| Physical Health Not Good | 12.2% | 10.7% |
| Depression | 23.9% | 17.7% |
| Smoking | 19.6% | 14.4% |
| Binge Drinking | 17.7% | 14.4% |
| Obesity | 38.0% | 33.0% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Columbus vs Powder springs
- More residents in Columbus report poor mental health at 18.4% compared to 15.0% in Powder springs.
- Depression is more prevalent in Columbus at 23.9% compared to 17.7% in Powder springs.
- Smoking is more prevalent in Columbus at 19.6% compared to 14.4% in Powder springs.
- Binge drinking is more common in Columbus at 17.7% compared to 14.4% in Powder springs.
- Obesity rates are higher in Columbus at 38.0% compared to 33.0% in Powder springs.
- Disability percentages are the same in both Columbus and Powder springs at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Powder springs |
|---|---|---|
| No Schooling | 1.4% (12,592) | 1.3% (225) |
| High School Diploma | 14.4% (130,716) | 15.0% (2,598) |
| Less than High School | 9.7% (87,770) | 7.6% (1,309) |
| Bachelor's Degree and Higher | 25.2% (229,071) | 26.3% (4,561) |
Education Levels Comparison: Columbus vs Powder springs
- A higher percentage of residents in Columbus have no formal schooling at 1.4% compared to 1.3% in Powder springs.
- In Powder springs, the rate of residents with high school diplomas is higher at 15.0% compared to 14.4% in Columbus.
- More residents in Columbus have less than a high school education at 9.7% compared to 7.6% in Powder springs.
- In Powder springs, a larger share of residents have a bachelor's degree or higher at 26.3% compared to 25.2% in Columbus.
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.