Demographics details for Columbus, IN vs Wilmington, NC
Population Overview
Compare main population characteristics in Columbus, IN vs Wilmington, NC.
| Data | Columbus | Wilmington |
|---|---|---|
| Population | 51,268 | 120,324 |
| Median Age | 35.8 years | 37.6 years |
| Median Income | $75,114 | $58,908 |
| Married Families | 41.0% | 32.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 4.0 | 3.7 |
Population Comparison: Columbus vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 51,268 in Columbus.
- The median age in Wilmington is higher at 37.6 years, compared to 35.8 years in Columbus.
- Columbus has a higher median income of $75,114 compared to $58,908 in Wilmington.
- A higher percentage of married families is found in Columbus at 41.0% compared to 32.0% in Wilmington.
- The poverty level is higher in Wilmington at 12%, compared to 9% in Columbus.
- The unemployment rate in Columbus is higher at 4.0%, compared to 3.7% in Wilmington.
Demographics
Demographics Columbus vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Wilmington |
|---|---|---|
| Black | 2 | 16 |
| White | 71 | 71 |
| Asian | 13 | 1 |
| Hispanic | 9 | 7 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 16% compared to 2% in Columbus.
- The percentage of White residents is the same in both Columbus and Wilmington at 71%.
- The Asian population is larger in Columbus at 13% compared to 1% in Wilmington.
- The Hispanic community is larger in Columbus at 9% compared to 7% in Wilmington.
- Both Columbus and Wilmington have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Columbus and Wilmington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Wilmington |
|---|---|---|
| Mental Health Not Good | 15.6% | 16.9% |
| Physical Health Not Good | 10.3% | 11.0% |
| Depression | 24.1% | 25.0% |
| Smoking | 16.3% | 16.5% |
| Binge Drinking | 16.3% | 18.5% |
| Obesity | 36.7% | 33.2% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Columbus vs Wilmington
- In Wilmington, a higher percentage report poor mental health at 16.9% compared to 15.6% in Columbus.
- Higher depression rates are seen in Wilmington at 25.0% versus 24.1% in Columbus.
- Wilmington has a higher smoking rate at 16.5% compared to 16.3% in Columbus.
- More residents engage in binge drinking in Wilmington at 18.5% compared to 16.3% in Columbus.
- Obesity rates are higher in Columbus at 36.7% compared to 33.2% in Wilmington.
- Disability percentages are higher in Columbus at 13.0% compared to 12.0% in Wilmington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Wilmington |
|---|---|---|
| No Schooling | 0.8% (398) | 0.5% (560) |
| High School Diploma | 14.3% (7,340) | 10.5% (12,679) |
| Less than High School | 9.1% (4,677) | 7.1% (8,513) |
| Bachelor's Degree and Higher | 28.1% (14,382) | 28.5% (34,319) |
Education Levels Comparison: Columbus vs Wilmington
- A higher percentage of residents in Columbus have no formal schooling at 0.8% compared to 0.5% in Wilmington.
- A higher percentage of residents in Columbus hold a high school diploma at 14.3% compared to 10.5% in Wilmington.
- More residents in Columbus have less than a high school education at 9.1% compared to 7.1% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 28.1% in Columbus.
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.