Demographics details for Panama, OK vs Columbus, OH
Population Overview
Compare main population characteristics in Panama, OK vs Columbus, OH.
| Data | Panama | Columbus |
|---|---|---|
| Population | 1,284 | 907,971 |
| Median Age | 32.4 years | 32.7 years |
| Median Income | $44,397 | $62,994 |
| Married Families | 34.0% | 29.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Panama vs Columbus
- The population in Columbus is higher at 907,971, compared to 1,284 in Panama.
- The median age in Columbus is higher at 32.7 years, compared to 32.4 years in Panama.
- Columbus has a higher median income of $62,994, compared to $44,397 in Panama.
- A higher percentage of married families is found in Panama at 34.0% compared to 29.0% in Columbus.
- The poverty level is higher in Columbus at 14%, compared to 12% in Panama.
- Columbus has a higher unemployment rate at 5.0% compared to 3.5% in Panama.
Demographics
Demographics Panama vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Panama | Columbus |
|---|---|---|
| Black | Data is updating | 29 |
| White | 68 | 51 |
| Asian | 2 | 6 |
| Hispanic | 3 | 7 |
| Two or More Races | 19 | 7 |
| American Indian | 8 | Data is updating |
Demographics Comparison: Panama vs Columbus
- In Columbus, the percentage of Black residents is higher at 29% compared to 0% in Panama.
- Panama has a higher percentage of White residents at 68% compared to 51% in Columbus.
- In Columbus, the Asian population stands at 6%, greater than 2% in Panama.
- Columbus has a higher percentage of Hispanic residents at 7%, compared to 3% in Panama.
- More residents identify as two or more races in Panama at 19% compared to 7% in Columbus.
- A greater percentage of American Indian residents live in Panama at 8% compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Panama | Columbus |
|---|---|---|
| Mental Health Not Good | 21.1% | 18.4% |
| Physical Health Not Good | 15.3% | 12.2% |
| Depression | 27.3% | 23.9% |
| Smoking | 25.1% | 19.6% |
| Binge Drinking | 14.1% | 17.7% |
| Obesity | 42.5% | 38.0% |
| Disability Percentage | 22.0% | 11.0% |
Health Statistics Comparison: Panama vs Columbus
- More residents in Panama report poor mental health at 21.1% compared to 18.4% in Columbus.
- Depression is more prevalent in Panama at 27.3% compared to 23.9% in Columbus.
- Smoking is more prevalent in Panama at 25.1% compared to 19.6% in Columbus.
- More residents engage in binge drinking in Columbus at 17.7% compared to 14.1% in Panama.
- Obesity rates are higher in Panama at 42.5% compared to 38.0% in Columbus.
- Disability percentages are higher in Panama at 22.0% compared to 11.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Panama | Columbus |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (12,592) |
| High School Diploma | 29.5% (379) | 14.4% (130,716) |
| Less than High School | 13.6% (175) | 9.7% (87,770) |
| Bachelor's Degree and Higher | 4.4% (56) | 25.2% (229,071) |
Education Levels Comparison: Panama vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Panama.
- A higher percentage of residents in Panama hold a high school diploma at 29.5% compared to 14.4% in Columbus.
- More residents in Panama have less than a high school education at 13.6% compared to 9.7% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 25.2% compared to 4.4% in Panama.
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.