Demographics details for Columbus, OH vs Washington, DC
Population Overview
Compare main population characteristics in Columbus, OH vs Washington, DC.
| Data | Columbus | Washington |
|---|---|---|
| Population | 907,971 | 671,803 |
| Median Age | 32.7 years | 34.8 years |
| Median Income | $62,994 | $101,722 |
| Married Families | 29.0% | 26.0% |
| Poverty Level | 14% | 18% |
| Unemployment Rate | 5.0 | 6.3 |
Population Comparison: Columbus vs Washington
- In Columbus, the population is higher at 907,971, compared to 671,803 in Washington.
- The median age in Washington is higher at 34.8 years, compared to 32.7 years in Columbus.
- Washington has a higher median income of $101,722, compared to $62,994 in Columbus.
- A higher percentage of married families is found in Columbus at 29.0% compared to 26.0% in Washington.
- The poverty level is higher in Washington at 18%, compared to 14% in Columbus.
- Washington has a higher unemployment rate at 6.3% compared to 5.0% in Columbus.
Demographics
Demographics Columbus vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Washington |
|---|---|---|
| Black | 29 | 44 |
| White | 51 | 34 |
| Asian | 6 | 4 |
| Hispanic | 7 | 11 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Washington
- In Washington, the percentage of Black residents is higher at 44% compared to 29% in Columbus.
- Columbus has a higher percentage of White residents at 51% compared to 34% in Washington.
- The Asian population is larger in Columbus at 6% compared to 4% in Washington.
- Washington has a higher percentage of Hispanic residents at 11%, compared to 7% in Columbus.
- Both Columbus and Washington have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Columbus and Washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Washington |
|---|---|---|
| Mental Health Not Good | 18.4% | 14.0% |
| Physical Health Not Good | 12.2% | 8.6% |
| Depression | 23.9% | 20.1% |
| Smoking | 19.6% | 12.4% |
| Binge Drinking | 17.7% | 20.7% |
| Obesity | 38.0% | 25.6% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Columbus vs Washington
- More residents in Columbus report poor mental health at 18.4% compared to 14.0% in Washington.
- Depression is more prevalent in Columbus at 23.9% compared to 20.1% in Washington.
- Smoking is more prevalent in Columbus at 19.6% compared to 12.4% in Washington.
- More residents engage in binge drinking in Washington at 20.7% compared to 17.7% in Columbus.
- Obesity rates are higher in Columbus at 38.0% compared to 25.6% in Washington.
- Disability percentages are the same in both Columbus and Washington at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Washington |
|---|---|---|
| No Schooling | 1.4% (12,592) | 0.9% (6,109) |
| High School Diploma | 14.4% (130,716) | 9.1% (61,269) |
| Less than High School | 9.7% (87,770) | 6.8% (45,577) |
| Bachelor's Degree and Higher | 25.2% (229,071) | 45.2% (303,532) |
Education Levels Comparison: Columbus vs Washington
- A higher percentage of residents in Columbus have no formal schooling at 1.4% compared to 0.9% in Washington.
- A higher percentage of residents in Columbus hold a high school diploma at 14.4% compared to 9.1% in Washington.
- More residents in Columbus have less than a high school education at 9.7% compared to 6.8% in Washington.
- In Washington, a larger share of residents have a bachelor's degree or higher at 45.2% 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.