Demographics details for Columbus, OH vs Lake butler, FL
Population Overview
Compare main population characteristics in Columbus, OH vs Lake butler, FL.
| Data | Columbus | Lake butler |
|---|---|---|
| Population | 907,971 | 17,765 |
| Median Age | 32.7 years | 43.8 years |
| Median Income | $62,994 | $150,316 |
| Married Families | 29.0% | 55.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 5.0 | 4.5 |
Population Comparison: Columbus vs Lake butler
- In Columbus, the population is higher at 907,971, compared to 17,765 in Lake butler.
- The median age in Lake butler is higher at 43.8 years, compared to 32.7 years in Columbus.
- Lake butler has a higher median income of $150,316, compared to $62,994 in Columbus.
- In Lake butler, the percentage of married families is higher at 55.0%, compared to 29.0% in Columbus.
- Columbus has a higher poverty level at 14% compared to 10% in Lake butler.
- The unemployment rate in Columbus is higher at 5.0%, compared to 4.5% in Lake butler.
Demographics
Demographics Columbus vs Lake butler provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Lake butler |
|---|---|---|
| Black | 29 | 6 |
| White | 51 | 53 |
| Asian | 6 | 16 |
| Hispanic | 7 | 12 |
| Two or More Races | 7 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Lake butler
- A higher percentage of Black residents are in Columbus at 29% compared to 6% in Lake butler.
- The percentage of White residents is higher in Lake butler at 53% compared to 51% in Columbus.
- In Lake butler, the Asian population stands at 16%, greater than 6% in Columbus.
- Lake butler has a higher percentage of Hispanic residents at 12%, compared to 7% in Columbus.
- The percentage of residents identifying as two or more races is higher in Lake butler at 13%, compared to 7% in Columbus.
- The percentage of American Indian residents is the same in both Columbus and Lake butler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Lake butler |
|---|---|---|
| Mental Health Not Good | 18.4% | 13.0% |
| Physical Health Not Good | 12.2% | 7.3% |
| Depression | 23.9% | 16.3% |
| Smoking | 19.6% | 11.4% |
| Binge Drinking | 17.7% | 15.8% |
| Obesity | 38.0% | 23.4% |
| Disability Percentage | 11.0% | 7.0% |
Health Statistics Comparison: Columbus vs Lake butler
- More residents in Columbus report poor mental health at 18.4% compared to 13.0% in Lake butler.
- Depression is more prevalent in Columbus at 23.9% compared to 16.3% in Lake butler.
- Smoking is more prevalent in Columbus at 19.6% compared to 11.4% in Lake butler.
- Binge drinking is more common in Columbus at 17.7% compared to 15.8% in Lake butler.
- Obesity rates are higher in Columbus at 38.0% compared to 23.4% in Lake butler.
- Disability percentages are higher in Columbus at 11.0% compared to 7.0% in Lake butler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Lake butler |
|---|---|---|
| No Schooling | 1.4% (12,592) | 0.2% (37) |
| High School Diploma | 14.4% (130,716) | 5.1% (899) |
| Less than High School | 9.7% (87,770) | 2.9% (520) |
| Bachelor's Degree and Higher | 25.2% (229,071) | 41.2% (7,325) |
Education Levels Comparison: Columbus vs Lake butler
- A higher percentage of residents in Columbus have no formal schooling at 1.4% compared to 0.2% in Lake butler.
- A higher percentage of residents in Columbus hold a high school diploma at 14.4% compared to 5.1% in Lake butler.
- More residents in Columbus have less than a high school education at 9.7% compared to 2.9% in Lake butler.
- In Lake butler, a larger share of residents have a bachelor's degree or higher at 41.2% 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.