Demographics details for Columbus, IN vs Cuthbert, GA
Population Overview
Compare main population characteristics in Columbus, IN vs Cuthbert, GA.
| Data | Columbus | Cuthbert |
|---|---|---|
| Population | 51,268 | 2,939 |
| Median Age | 35.8 years | 37.6 years |
| Median Income | $75,114 | $21,278 |
| Married Families | 41.0% | 16.0% |
| Poverty Level | 9% | 28% |
| Unemployment Rate | 4.0 | 5.5 |
Population Comparison: Columbus vs Cuthbert
- In Columbus, the population is higher at 51,268, compared to 2,939 in Cuthbert.
- The median age in Cuthbert is higher at 37.6 years, compared to 35.8 years in Columbus.
- Columbus has a higher median income of $75,114 compared to $21,278 in Cuthbert.
- A higher percentage of married families is found in Columbus at 41.0% compared to 16.0% in Cuthbert.
- The poverty level is higher in Cuthbert at 28%, compared to 9% in Columbus.
- Cuthbert has a higher unemployment rate at 5.5% compared to 4.0% in Columbus.
Demographics
Demographics Columbus vs Cuthbert provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Cuthbert |
|---|---|---|
| Black | 2 | 92 |
| White | 71 | 1 |
| Asian | 13 | Data is updating |
| Hispanic | 9 | 4 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Cuthbert
- In Cuthbert, the percentage of Black residents is higher at 92% compared to 2% in Columbus.
- Columbus has a higher percentage of White residents at 71% compared to 1% in Cuthbert.
- The Asian population is larger in Columbus at 13% compared to 0% in Cuthbert.
- The Hispanic community is larger in Columbus at 9% compared to 4% in Cuthbert.
- More residents identify as two or more races in Columbus at 5% compared to 3% in Cuthbert.
- The percentage of American Indian residents is the same in both Columbus and Cuthbert at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Cuthbert |
|---|---|---|
| Mental Health Not Good | 15.6% | 21.4% |
| Physical Health Not Good | 10.3% | 18.1% |
| Depression | 24.1% | 20.9% |
| Smoking | 16.3% | 27.3% |
| Binge Drinking | 16.3% | 11.1% |
| Obesity | 36.7% | 50.4% |
| Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Columbus vs Cuthbert
- In Cuthbert, a higher percentage report poor mental health at 21.4% compared to 15.6% in Columbus.
- Depression is more prevalent in Columbus at 24.1% compared to 20.9% in Cuthbert.
- Cuthbert has a higher smoking rate at 27.3% compared to 16.3% in Columbus.
- Binge drinking is more common in Columbus at 16.3% compared to 11.1% in Cuthbert.
- Cuthbert has higher obesity rates at 50.4% compared to 36.7% in Columbus.
- There is a higher percentage of disabled individuals in Cuthbert at 17.0% compared to 13.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Cuthbert |
|---|---|---|
| No Schooling | 0.8% (398) | 0.0% (Data is updating) |
| High School Diploma | 14.3% (7,340) | 20.6% (604) |
| Less than High School | 9.1% (4,677) | 17.1% (502) |
| Bachelor's Degree and Higher | 28.1% (14,382) | 9.6% (282) |
Education Levels Comparison: Columbus vs Cuthbert
- A higher percentage of residents in Columbus have no formal schooling at 0.8% compared to 0.0% in Cuthbert.
- In Cuthbert, the rate of residents with high school diplomas is higher at 20.6% compared to 14.3% in Columbus.
- The percentage of residents with less than a high school education is higher in Cuthbert at 17.1%, compared to 9.1% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 28.1% compared to 9.6% in Cuthbert.
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.