Demographics details for Columbus, IN vs Norman, OK
Population Overview
Compare main population characteristics in Columbus, IN vs Norman, OK.
| Data | Columbus | Norman |
|---|---|---|
| Population | 51,268 | 129,627 |
| Median Age | 35.8 years | 31.0 years |
| Median Income | $75,114 | $62,849 |
| Married Families | 41.0% | 35.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Columbus vs Norman
- The population in Norman is higher at 129,627, compared to 51,268 in Columbus.
- Residents in Columbus have a higher median age of 35.8 years compared to 31.0 years in Norman.
- Columbus has a higher median income of $75,114 compared to $62,849 in Norman.
- A higher percentage of married families is found in Columbus at 41.0% compared to 35.0% in Norman.
- The poverty level is higher in Norman at 12%, compared to 9% in Columbus.
- The unemployment rate in Columbus is higher at 4.0%, compared to 3.5% in Norman.
Demographics
Demographics Columbus vs Norman provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Norman |
|---|---|---|
| Black | 2 | 5 |
| White | 71 | 67 |
| Asian | 13 | 5 |
| Hispanic | 9 | 8 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Columbus vs Norman
- In Norman, the percentage of Black residents is higher at 5% compared to 2% in Columbus.
- Columbus has a higher percentage of White residents at 71% compared to 67% in Norman.
- The Asian population is larger in Columbus at 13% compared to 5% in Norman.
- The Hispanic community is larger in Columbus at 9% compared to 8% in Norman.
- The percentage of residents identifying as two or more races is higher in Norman at 11%, compared to 5% in Columbus.
- In Norman, the percentage of American Indian residents is higher at 4%, compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Norman |
|---|---|---|
| Mental Health Not Good | 15.6% | 17.0% |
| Physical Health Not Good | 10.3% | 11.2% |
| Depression | 24.1% | 25.6% |
| Smoking | 16.3% | 16.7% |
| Binge Drinking | 16.3% | 15.5% |
| Obesity | 36.7% | 34.9% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Columbus vs Norman
- In Norman, a higher percentage report poor mental health at 17.0% compared to 15.6% in Columbus.
- Higher depression rates are seen in Norman at 25.6% versus 24.1% in Columbus.
- Norman has a higher smoking rate at 16.7% compared to 16.3% in Columbus.
- Binge drinking is more common in Columbus at 16.3% compared to 15.5% in Norman.
- Obesity rates are higher in Columbus at 36.7% compared to 34.9% in Norman.
- Disability percentages are the same in both Columbus and Norman at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Norman |
|---|---|---|
| No Schooling | 0.8% (398) | 0.3% (396) |
| High School Diploma | 14.3% (7,340) | 9.4% (12,171) |
| Less than High School | 9.1% (4,677) | 6.3% (8,174) |
| Bachelor's Degree and Higher | 28.1% (14,382) | 26.3% (34,072) |
Education Levels Comparison: Columbus vs Norman
- A higher percentage of residents in Columbus have no formal schooling at 0.8% compared to 0.3% in Norman.
- A higher percentage of residents in Columbus hold a high school diploma at 14.3% compared to 9.4% in Norman.
- More residents in Columbus have less than a high school education at 9.1% compared to 6.3% in Norman.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 28.1% compared to 26.3% in Norman.
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.