Demographics details for Chauncey, GA vs Columbia, SC
Population Overview
Compare main population characteristics in Chauncey, GA vs Columbia, SC.
| Data | Chauncey | Columbia |
|---|---|---|
| Population | 288 | 139,698 |
| Median Age | 35.6 years | 28.3 years |
| Median Income | $60,536 | $54,095 |
| Married Families | 39.0% | 25.0% |
| Poverty Level | 18% | 17% |
| Unemployment Rate | 5.1 | 5.8 |
Population Comparison: Chauncey vs Columbia
- The population in Columbia is higher at 139,698, compared to 288 in Chauncey.
- Residents in Chauncey have a higher median age of 35.6 years compared to 28.3 years in Columbia.
- Chauncey has a higher median income of $60,536 compared to $54,095 in Columbia.
- A higher percentage of married families is found in Chauncey at 39.0% compared to 25.0% in Columbia.
- Chauncey has a higher poverty level at 18% compared to 17% in Columbia.
- Columbia has a higher unemployment rate at 5.8% compared to 5.1% in Chauncey.
Demographics
Demographics Chauncey vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Chauncey | Columbia |
|---|---|---|
| Black | 83 | 40 |
| White | 15 | 48 |
| Asian | Data is updating | 2 |
| Hispanic | 1 | 5 |
| Two or More Races | 1 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Chauncey vs Columbia
- A higher percentage of Black residents are in Chauncey at 83% compared to 40% in Columbia.
- The percentage of White residents is higher in Columbia at 48% compared to 15% in Chauncey.
- In Columbia, the Asian population stands at 2%, greater than 0% in Chauncey.
- Columbia has a higher percentage of Hispanic residents at 5%, compared to 1% in Chauncey.
- The percentage of residents identifying as two or more races is higher in Columbia at 5%, compared to 1% in Chauncey.
- The percentage of American Indian residents is the same in both Chauncey and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chauncey | Columbia |
|---|---|---|
| Mental Health Not Good | 18.6% | 18.6% |
| Physical Health Not Good | 13.7% | 13.1% |
| Depression | 22.1% | 20.8% |
| Smoking | 21.7% | 19.1% |
| Binge Drinking | 14.7% | 18.1% |
| Obesity | 37.4% | 39.0% |
| Disability Percentage | 20.0% | 11.0% |
Health Statistics Comparison: Chauncey vs Columbia
- Poor mental health levels are equal in both Chauncey and Columbia at 18.6%.
- Depression is more prevalent in Chauncey at 22.1% compared to 20.8% in Columbia.
- Smoking is more prevalent in Chauncey at 21.7% compared to 19.1% in Columbia.
- More residents engage in binge drinking in Columbia at 18.1% compared to 14.7% in Chauncey.
- Columbia has higher obesity rates at 39.0% compared to 37.4% in Chauncey.
- Disability percentages are higher in Chauncey at 20.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chauncey | Columbia |
|---|---|---|
| No Schooling | 2.4% (7) | 0.4% (555) |
| High School Diploma | 33.0% (95) | 8.4% (11,712) |
| Less than High School | 14.2% (41) | 5.9% (8,257) |
| Bachelor's Degree and Higher | 8.3% (24) | 24.7% (34,575) |
Education Levels Comparison: Chauncey vs Columbia
- A higher percentage of residents in Chauncey have no formal schooling at 2.4% compared to 0.4% in Columbia.
- A higher percentage of residents in Chauncey hold a high school diploma at 33.0% compared to 8.4% in Columbia.
- More residents in Chauncey have less than a high school education at 14.2% compared to 5.9% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 24.7% compared to 8.3% in Chauncey.
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.