Demographics details for Milledgeville, GA vs Columbus, OH
Population Overview
Compare main population characteristics in Milledgeville, GA vs Columbus, OH.
| Data | Milledgeville | Columbus |
|---|---|---|
| Population | 16,837 | 907,971 |
| Median Age | 26.5 years | 32.7 years |
| Median Income | $40,672 | $62,994 |
| Married Families | 20.0% | 29.0% |
| Poverty Level | 24% | 14% |
| Unemployment Rate | 4.5 | 5.0 |
Population Comparison: Milledgeville vs Columbus
- The population in Columbus is higher at 907,971, compared to 16,837 in Milledgeville.
- The median age in Columbus is higher at 32.7 years, compared to 26.5 years in Milledgeville.
- Columbus has a higher median income of $62,994, compared to $40,672 in Milledgeville.
- In Columbus, the percentage of married families is higher at 29.0%, compared to 20.0% in Milledgeville.
- Milledgeville has a higher poverty level at 24% compared to 14% in Columbus.
- Columbus has a higher unemployment rate at 5.0% compared to 4.5% in Milledgeville.
Demographics
Demographics Milledgeville vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Milledgeville | Columbus |
|---|---|---|
| Black | 45 | 29 |
| White | 47 | 51 |
| Asian | 3 | 6 |
| Hispanic | 3 | 7 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Milledgeville vs Columbus
- A higher percentage of Black residents are in Milledgeville at 45% compared to 29% in Columbus.
- The percentage of White residents is higher in Columbus at 51% compared to 47% in Milledgeville.
- In Columbus, the Asian population stands at 6%, greater than 3% in Milledgeville.
- Columbus has a higher percentage of Hispanic residents at 7%, compared to 3% in Milledgeville.
- The percentage of residents identifying as two or more races is higher in Columbus at 7%, compared to 2% in Milledgeville.
- The percentage of American Indian residents is the same in both Milledgeville and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milledgeville | Columbus |
|---|---|---|
| Mental Health Not Good | 18.3% | 18.4% |
| Physical Health Not Good | 14.1% | 12.2% |
| Depression | 20.6% | 23.9% |
| Smoking | 21.1% | 19.6% |
| Binge Drinking | 14.2% | 17.7% |
| Obesity | 42.7% | 38.0% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Milledgeville vs Columbus
- In Columbus, a higher percentage report poor mental health at 18.4% compared to 18.3% in Milledgeville.
- Higher depression rates are seen in Columbus at 23.9% versus 20.6% in Milledgeville.
- Smoking is more prevalent in Milledgeville at 21.1% compared to 19.6% in Columbus.
- More residents engage in binge drinking in Columbus at 17.7% compared to 14.2% in Milledgeville.
- Obesity rates are higher in Milledgeville at 42.7% compared to 38.0% in Columbus.
- Disability percentages are higher in Milledgeville at 13.0% compared to 11.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milledgeville | Columbus |
|---|---|---|
| No Schooling | 0.8% (139) | 1.4% (12,592) |
| High School Diploma | 11.0% (1,844) | 14.4% (130,716) |
| Less than High School | 12.1% (2,041) | 9.7% (87,770) |
| Bachelor's Degree and Higher | 13.3% (2,237) | 25.2% (229,071) |
Education Levels Comparison: Milledgeville vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.4% compared to 0.8% in Milledgeville.
- In Columbus, the rate of residents with high school diplomas is higher at 14.4% compared to 11.0% in Milledgeville.
- More residents in Milledgeville have less than a high school education at 12.1% compared to 9.7% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 25.2% compared to 13.3% in Milledgeville.
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.