Demographics details for Columbus, IN vs Fall branch, TN
Population Overview
Compare main population characteristics in Columbus, IN vs Fall branch, TN.
| Data | Columbus | Fall branch |
|---|---|---|
| Population | 51,268 | 984 |
| Median Age | 35.8 years | 48.9 years |
| Median Income | $75,114 | $41,884 |
| Married Families | 41.0% | 54.0% |
| Poverty Level | 9% | 11% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Columbus vs Fall branch
- In Columbus, the population is higher at 51,268, compared to 984 in Fall branch.
- The median age in Fall branch is higher at 48.9 years, compared to 35.8 years in Columbus.
- Columbus has a higher median income of $75,114 compared to $41,884 in Fall branch.
- In Fall branch, the percentage of married families is higher at 54.0%, compared to 41.0% in Columbus.
- The poverty level is higher in Fall branch at 11%, compared to 9% in Columbus.
- The unemployment rate in Columbus is higher at 4.0%, compared to 3.5% in Fall branch.
Demographics
Demographics Columbus vs Fall branch provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Fall branch |
|---|---|---|
| Black | 2 | Data is updating |
| White | 71 | 100 |
| Asian | 13 | Data is updating |
| Hispanic | 9 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Fall branch
- A higher percentage of Black residents are in Columbus at 2% compared to 0% in Fall branch.
- The percentage of White residents is higher in Fall branch at 100% compared to 71% in Columbus.
- The Asian population is larger in Columbus at 13% compared to 0% in Fall branch.
- The Hispanic community is larger in Columbus at 9% compared to 0% in Fall branch.
- More residents identify as two or more races in Columbus at 5% compared to 0% in Fall branch.
- The percentage of American Indian residents is the same in both Columbus and Fall branch at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Fall branch |
|---|---|---|
| Mental Health Not Good | 15.6% | 17.9% |
| Physical Health Not Good | 10.3% | 11.7% |
| Depression | 24.1% | 28.3% |
| Smoking | 16.3% | 19.7% |
| Binge Drinking | 16.3% | 16.7% |
| Obesity | 36.7% | 28.9% |
| Disability Percentage | 13.0% | 23.0% |
Health Statistics Comparison: Columbus vs Fall branch
- In Fall branch, a higher percentage report poor mental health at 17.9% compared to 15.6% in Columbus.
- Higher depression rates are seen in Fall branch at 28.3% versus 24.1% in Columbus.
- Fall branch has a higher smoking rate at 19.7% compared to 16.3% in Columbus.
- More residents engage in binge drinking in Fall branch at 16.7% compared to 16.3% in Columbus.
- Obesity rates are higher in Columbus at 36.7% compared to 28.9% in Fall branch.
- There is a higher percentage of disabled individuals in Fall branch at 23.0% 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 | Fall branch |
|---|---|---|
| No Schooling | 0.8% (398) | 1.7% (17) |
| High School Diploma | 14.3% (7,340) | 24.5% (241) |
| Less than High School | 9.1% (4,677) | 19.7% (194) |
| Bachelor's Degree and Higher | 28.1% (14,382) | 14.4% (142) |
Education Levels Comparison: Columbus vs Fall branch
- In Fall branch, a larger percentage of residents lack formal schooling at 1.7% compared to 0.8% in Columbus.
- In Fall branch, the rate of residents with high school diplomas is higher at 24.5% compared to 14.3% in Columbus.
- The percentage of residents with less than a high school education is higher in Fall branch at 19.7%, 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 14.4% in Fall branch.
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.