Demographics details for Columbus, OH vs Orlando, FL
Population Overview
Compare main population characteristics in Columbus, OH vs Orlando, FL.
| Data | Columbus | Orlando |
|---|---|---|
| Population | 907,971 | 316,081 |
| Median Age | 32.7 years | 34.7 years |
| Median Income | $62,994 | $66,292 |
| Married Families | 29.0% | 31.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Columbus vs Orlando
- In Columbus, the population is higher at 907,971, compared to 316,081 in Orlando.
- The median age in Orlando is higher at 34.7 years, compared to 32.7 years in Columbus.
- Orlando has a higher median income of $66,292, compared to $62,994 in Columbus.
- In Orlando, the percentage of married families is higher at 31.0%, compared to 29.0% in Columbus.
- Columbus has a higher poverty level at 14% compared to 12% in Orlando.
- The unemployment rate in Columbus is higher at 5.0%, compared to 3.2% in Orlando.
Demographics
Demographics Columbus vs Orlando provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Orlando |
|---|---|---|
| Black | 29 | 23 |
| White | 51 | 23 |
| Asian | 6 | 4 |
| Hispanic | 7 | 34 |
| Two or More Races | 7 | 16 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Orlando
- A higher percentage of Black residents are in Columbus at 29% compared to 23% in Orlando.
- Columbus has a higher percentage of White residents at 51% compared to 23% in Orlando.
- The Asian population is larger in Columbus at 6% compared to 4% in Orlando.
- Orlando has a higher percentage of Hispanic residents at 34%, compared to 7% in Columbus.
- The percentage of residents identifying as two or more races is higher in Orlando at 16%, compared to 7% in Columbus.
- The percentage of American Indian residents is the same in both Columbus and Orlando at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Orlando |
|---|---|---|
| Mental Health Not Good | 18.4% | 15.5% |
| Physical Health Not Good | 12.2% | 11.5% |
| Depression | 23.9% | 17.2% |
| Smoking | 19.6% | 17.7% |
| Binge Drinking | 17.7% | 14.1% |
| Obesity | 38.0% | 31.1% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Columbus vs Orlando
- More residents in Columbus report poor mental health at 18.4% compared to 15.5% in Orlando.
- Depression is more prevalent in Columbus at 23.9% compared to 17.2% in Orlando.
- Smoking is more prevalent in Columbus at 19.6% compared to 17.7% in Orlando.
- Binge drinking is more common in Columbus at 17.7% compared to 14.1% in Orlando.
- Obesity rates are higher in Columbus at 38.0% compared to 31.1% in Orlando.
- Disability percentages are higher in Columbus at 11.0% compared to 9.0% in Orlando.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Orlando |
|---|---|---|
| No Schooling | 1.4% (12,592) | 1.1% (3,445) |
| High School Diploma | 14.4% (130,716) | 13.7% (43,377) |
| Less than High School | 9.7% (87,770) | 9.2% (29,000) |
| Bachelor's Degree and Higher | 25.2% (229,071) | 28.8% (90,981) |
Education Levels Comparison: Columbus vs Orlando
- A higher percentage of residents in Columbus have no formal schooling at 1.4% compared to 1.1% in Orlando.
- A higher percentage of residents in Columbus hold a high school diploma at 14.4% compared to 13.7% in Orlando.
- More residents in Columbus have less than a high school education at 9.7% compared to 9.2% in Orlando.
- In Orlando, a larger share of residents have a bachelor's degree or higher at 28.8% 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.