Demographics details for Columbus, MS vs Danville, IL
Population Overview
Compare main population characteristics in Columbus, MS vs Danville, IL.
| Data | Columbus | Danville |
|---|---|---|
| Population | 23,273 | 28,472 |
| Median Age | 38.5 years | 38.6 years |
| Median Income | $38,954 | $42,424 |
| Married Families | 25.0% | 25.0% |
| Poverty Level | 19% | 20% |
| Unemployment Rate | 3.8 | 8.6 |
Population Comparison: Columbus vs Danville
- The population in Danville is higher at 28,472, compared to 23,273 in Columbus.
- The median age in Danville is higher at 38.6 years, compared to 38.5 years in Columbus.
- Danville has a higher median income of $42,424, compared to $38,954 in Columbus.
- The percentage of married families is the same in both Columbus and Danville at 25.0%.
- The poverty level is higher in Danville at 20%, compared to 19% in Columbus.
- Danville has a higher unemployment rate at 8.6% compared to 3.8% in Columbus.
Demographics
Demographics Columbus vs Danville provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Danville |
|---|---|---|
| Black | 66 | 34 |
| White | 28 | 52 |
| Asian | 2 | 1 |
| Hispanic | 2 | 8 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Danville
- A higher percentage of Black residents are in Columbus at 66% compared to 34% in Danville.
- The percentage of White residents is higher in Danville at 52% compared to 28% in Columbus.
- The Asian population is larger in Columbus at 2% compared to 1% in Danville.
- Danville 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 Danville at 5%, compared to 2% in Columbus.
- The percentage of American Indian residents is the same in both Columbus and Danville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Danville |
|---|---|---|
| Mental Health Not Good | 17.4% | 18.9% |
| Physical Health Not Good | 13.6% | 14.5% |
| Depression | 20.0% | 21.2% |
| Smoking | 21.0% | 23.9% |
| Binge Drinking | 11.8% | 14.9% |
| Obesity | 44.8% | 41.4% |
| Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: Columbus vs Danville
- In Danville, a higher percentage report poor mental health at 18.9% compared to 17.4% in Columbus.
- Higher depression rates are seen in Danville at 21.2% versus 20.0% in Columbus.
- Danville has a higher smoking rate at 23.9% compared to 21.0% in Columbus.
- More residents engage in binge drinking in Danville at 14.9% compared to 11.8% in Columbus.
- Obesity rates are higher in Columbus at 44.8% compared to 41.4% in Danville.
- There is a higher percentage of disabled individuals in Danville at 17.0% 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 | Danville |
|---|---|---|
| No Schooling | 1.1% (260) | 0.9% (270) |
| High School Diploma | 18.4% (4,272) | 20.6% (5,853) |
| Less than High School | 11.0% (2,559) | 13.1% (3,727) |
| Bachelor's Degree and Higher | 17.1% (3,971) | 11.7% (3,344) |
Education Levels Comparison: Columbus vs Danville
- A higher percentage of residents in Columbus have no formal schooling at 1.1% compared to 0.9% in Danville.
- In Danville, the rate of residents with high school diplomas is higher at 20.6% compared to 18.4% in Columbus.
- The percentage of residents with less than a high school education is higher in Danville at 13.1%, 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 11.7% in Danville.
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.