Demographics details for Columbus, OH vs Boon, MI
Population Overview
Compare main population characteristics in Columbus, OH vs Boon, MI.
| Data | Columbus | Boon |
|---|---|---|
| Population | 907,971 | 56 |
| Median Age | 32.7 years | 52.9 years |
| Median Income | $62,994 | $90,000 |
| Married Families | 29.0% | 43.0% |
| Poverty Level | 14% | 5% |
| Unemployment Rate | 5.0 | 4.2 |
Population Comparison: Columbus vs Boon
- In Columbus, the population is higher at 907,971, compared to 56 in Boon.
- The median age in Boon is higher at 52.9 years, compared to 32.7 years in Columbus.
- Boon has a higher median income of $90,000, compared to $62,994 in Columbus.
- In Boon, the percentage of married families is higher at 43.0%, compared to 29.0% in Columbus.
- Columbus has a higher poverty level at 14% compared to 5% in Boon.
- The unemployment rate in Columbus is higher at 5.0%, compared to 4.2% in Boon.
Demographics
Demographics Columbus vs Boon provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Boon |
|---|---|---|
| Black | 29 | Data is updating |
| White | 51 | 100 |
| Asian | 6 | Data is updating |
| Hispanic | 7 | Data is updating |
| Two or More Races | 7 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Boon
- A higher percentage of Black residents are in Columbus at 29% compared to 0% in Boon.
- The percentage of White residents is higher in Boon at 100% compared to 51% in Columbus.
- The Asian population is larger in Columbus at 6% compared to 0% in Boon.
- The Hispanic community is larger in Columbus at 7% compared to 0% in Boon.
- More residents identify as two or more races in Columbus at 7% compared to 0% in Boon.
- The percentage of American Indian residents is the same in both Columbus and Boon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Boon |
|---|---|---|
| Mental Health Not Good | 18.4% | 19.1% |
| Physical Health Not Good | 12.2% | 13.1% |
| Depression | 23.9% | 26.7% |
| Smoking | 19.6% | 24.7% |
| Binge Drinking | 17.7% | 18.4% |
| Obesity | 38.0% | 38.7% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Columbus vs Boon
- In Boon, a higher percentage report poor mental health at 19.1% compared to 18.4% in Columbus.
- Higher depression rates are seen in Boon at 26.7% versus 23.9% in Columbus.
- Boon has a higher smoking rate at 24.7% compared to 19.6% in Columbus.
- More residents engage in binge drinking in Boon at 18.4% compared to 17.7% in Columbus.
- Boon has higher obesity rates at 38.7% compared to 38.0% in Columbus.
- Disability percentages are the same in both Columbus and Boon at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Boon |
|---|---|---|
| No Schooling | 1.4% (12,592) | 0.0% (Data is updating) |
| High School Diploma | 14.4% (130,716) | 21.4% (12) |
| Less than High School | 9.7% (87,770) | 10.7% (6) |
| Bachelor's Degree and Higher | 25.2% (229,071) | 26.8% (15) |
Education Levels Comparison: Columbus vs Boon
- A higher percentage of residents in Columbus have no formal schooling at 1.4% compared to 0.0% in Boon.
- In Boon, the rate of residents with high school diplomas is higher at 21.4% compared to 14.4% in Columbus.
- The percentage of residents with less than a high school education is higher in Boon at 10.7%, compared to 9.7% in Columbus.
- In Boon, a larger share of residents have a bachelor's degree or higher at 26.8% compared to 25.2% 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.