Demographics details for Hinesville, GA vs Columbus, IN
Population Overview
Compare main population characteristics in Hinesville, GA vs Columbus, IN.
| Data | Hinesville | Columbus |
|---|---|---|
| Population | 35,441 | 51,268 |
| Median Age | 29.1 years | 35.8 years |
| Median Income | $54,447 | $75,114 |
| Married Families | 35.0% | 41.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 3.7 | 4.0 |
Population Comparison: Hinesville vs Columbus
- The population in Columbus is higher at 51,268, compared to 35,441 in Hinesville.
- The median age in Columbus is higher at 35.8 years, compared to 29.1 years in Hinesville.
- Columbus has a higher median income of $75,114, compared to $54,447 in Hinesville.
- In Columbus, the percentage of married families is higher at 41.0%, compared to 35.0% in Hinesville.
- Hinesville has a higher poverty level at 12% compared to 9% in Columbus.
- Columbus has a higher unemployment rate at 4.0% compared to 3.7% in Hinesville.
Demographics
Demographics Hinesville vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Hinesville | Columbus |
|---|---|---|
| Black | 46 | 2 |
| White | 28 | 71 |
| Asian | 2 | 13 |
| Hispanic | 13 | 9 |
| Two or More Races | 11 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hinesville vs Columbus
- A higher percentage of Black residents are in Hinesville at 46% compared to 2% in Columbus.
- The percentage of White residents is higher in Columbus at 71% compared to 28% in Hinesville.
- In Columbus, the Asian population stands at 13%, greater than 2% in Hinesville.
- The Hispanic community is larger in Hinesville at 13% compared to 9% in Columbus.
- More residents identify as two or more races in Hinesville at 11% compared to 5% in Columbus.
- The percentage of American Indian residents is the same in both Hinesville and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hinesville | Columbus |
|---|---|---|
| Mental Health Not Good | 17.4% | 15.6% |
| Physical Health Not Good | 12.9% | 10.3% |
| Depression | 20.2% | 24.1% |
| Smoking | 18.2% | 16.3% |
| Binge Drinking | 14.3% | 16.3% |
| Obesity | 38.3% | 36.7% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Hinesville vs Columbus
- More residents in Hinesville report poor mental health at 17.4% compared to 15.6% in Columbus.
- Higher depression rates are seen in Columbus at 24.1% versus 20.2% in Hinesville.
- Smoking is more prevalent in Hinesville at 18.2% compared to 16.3% in Columbus.
- More residents engage in binge drinking in Columbus at 16.3% compared to 14.3% in Hinesville.
- Obesity rates are higher in Hinesville at 38.3% compared to 36.7% in Columbus.
- Disability percentages are the same in both Hinesville and Columbus at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hinesville | Columbus |
|---|---|---|
| No Schooling | 0.6% (222) | 0.8% (398) |
| High School Diploma | 14.7% (5,227) | 14.3% (7,340) |
| Less than High School | 5.2% (1,848) | 9.1% (4,677) |
| Bachelor's Degree and Higher | 12.4% (4,410) | 28.1% (14,382) |
Education Levels Comparison: Hinesville vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 0.8% compared to 0.6% in Hinesville.
- A higher percentage of residents in Hinesville hold a high school diploma at 14.7% compared to 14.3% in Columbus.
- The percentage of residents with less than a high school education is higher in Columbus at 9.1%, compared to 5.2% in Hinesville.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 28.1% compared to 12.4% in Hinesville.
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.