Demographics details for Columbus, MS vs Fort valley, GA
Population Overview
Compare main population characteristics in Columbus, MS vs Fort valley, GA.
| Data | Columbus | Fort valley |
|---|---|---|
| Population | 23,273 | 8,838 |
| Median Age | 38.5 years | 30.6 years |
| Median Income | $38,954 | $31,807 |
| Married Families | 25.0% | 18.0% |
| Poverty Level | 19% | 25% |
| Unemployment Rate | 3.8 | 4.5 |
Population Comparison: Columbus vs Fort valley
- In Columbus, the population is higher at 23,273, compared to 8,838 in Fort valley.
- Residents in Columbus have a higher median age of 38.5 years compared to 30.6 years in Fort valley.
- Columbus has a higher median income of $38,954 compared to $31,807 in Fort valley.
- A higher percentage of married families is found in Columbus at 25.0% compared to 18.0% in Fort valley.
- The poverty level is higher in Fort valley at 25%, compared to 19% in Columbus.
- Fort valley has a higher unemployment rate at 4.5% compared to 3.8% in Columbus.
Demographics
Demographics Columbus vs Fort valley provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Fort valley |
|---|---|---|
| Black | 66 | 70 |
| White | 28 | 18 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 8 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Fort valley
- In Fort valley, the percentage of Black residents is higher at 70% compared to 66% in Columbus.
- Columbus has a higher percentage of White residents at 28% compared to 18% in Fort valley.
- The Asian population is larger in Columbus at 2% compared to 0% in Fort valley.
- Fort valley has a higher percentage of Hispanic residents at 8%, compared to 2% in Columbus.
- The percentage of residents identifying as two or more races is higher in Fort valley at 4%, compared to 2% in Columbus.
- The percentage of American Indian residents is the same in both Columbus and Fort valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Fort valley |
|---|---|---|
| Mental Health Not Good | 17.4% | 19.2% |
| Physical Health Not Good | 13.6% | 15.5% |
| Depression | 20.0% | 19.5% |
| Smoking | 21.0% | 22.3% |
| Binge Drinking | 11.8% | 11.8% |
| Obesity | 44.8% | 46.2% |
| Disability Percentage | 12.0% | 16.0% |
Health Statistics Comparison: Columbus vs Fort valley
- In Fort valley, a higher percentage report poor mental health at 19.2% compared to 17.4% in Columbus.
- Depression is more prevalent in Columbus at 20.0% compared to 19.5% in Fort valley.
- Fort valley has a higher smoking rate at 22.3% compared to 21.0% in Columbus.
- Binge drinking rates are similar in both Columbus and Fort valley at 11.8%.
- Fort valley has higher obesity rates at 46.2% compared to 44.8% in Columbus.
- There is a higher percentage of disabled individuals in Fort valley at 16.0% compared to 12.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Fort valley |
|---|---|---|
| No Schooling | 1.1% (260) | 3.0% (267) |
| High School Diploma | 18.4% (4,272) | 13.9% (1,226) |
| Less than High School | 11.0% (2,559) | 17.3% (1,527) |
| Bachelor's Degree and Higher | 17.1% (3,971) | 10.8% (954) |
Education Levels Comparison: Columbus vs Fort valley
- In Fort valley, a larger percentage of residents lack formal schooling at 3.0% compared to 1.1% in Columbus.
- A higher percentage of residents in Columbus hold a high school diploma at 18.4% compared to 13.9% in Fort valley.
- The percentage of residents with less than a high school education is higher in Fort valley at 17.3%, compared to 11.0% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 17.1% compared to 10.8% in Fort valley.
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.