Demographics details for Mars, PA vs Columbus, OH
Population Overview
Compare main population characteristics in Mars, PA vs Columbus, OH.
| Data | Mars | Columbus |
|---|---|---|
| Population | 1,430 | 907,971 |
| Median Age | 58.2 years | 32.7 years |
| Median Income | $57,700 | $62,994 |
| Married Families | 23.0% | 29.0% |
| Poverty Level | 5% | 14% |
| Unemployment Rate | 4.2 | 5.0 |
Population Comparison: Mars vs Columbus
- The population in Columbus is higher at 907,971, compared to 1,430 in Mars.
- Residents in Mars have a higher median age of 58.2 years compared to 32.7 years in Columbus.
- Columbus has a higher median income of $62,994, compared to $57,700 in Mars.
- In Columbus, the percentage of married families is higher at 29.0%, compared to 23.0% in Mars.
- The poverty level is higher in Columbus at 14%, compared to 5% in Mars.
- Columbus has a higher unemployment rate at 5.0% compared to 4.2% in Mars.
Demographics
Demographics Mars vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Mars | Columbus |
|---|---|---|
| Black | Data is updating | 29 |
| White | 89 | 51 |
| Asian | Data is updating | 6 |
| Hispanic | 6 | 7 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mars vs Columbus
- In Columbus, the percentage of Black residents is higher at 29% compared to 0% in Mars.
- Mars has a higher percentage of White residents at 89% compared to 51% in Columbus.
- In Columbus, the Asian population stands at 6%, greater than 0% in Mars.
- Columbus has a higher percentage of Hispanic residents at 7%, compared to 6% in Mars.
- The percentage of residents identifying as two or more races is higher in Columbus at 7%, compared to 5% in Mars.
- The percentage of American Indian residents is the same in both Mars and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mars | Columbus |
|---|---|---|
| Mental Health Not Good | 14.2% | 18.4% |
| Physical Health Not Good | 9.1% | 12.2% |
| Depression | 20.7% | 23.9% |
| Smoking | 13.9% | 19.6% |
| Binge Drinking | 20.2% | 17.7% |
| Obesity | 30.7% | 38.0% |
| Disability Percentage | 20.0% | 11.0% |
Health Statistics Comparison: Mars vs Columbus
- In Columbus, a higher percentage report poor mental health at 18.4% compared to 14.2% in Mars.
- Higher depression rates are seen in Columbus at 23.9% versus 20.7% in Mars.
- Columbus has a higher smoking rate at 19.6% compared to 13.9% in Mars.
- Binge drinking is more common in Mars at 20.2% compared to 17.7% in Columbus.
- Columbus has higher obesity rates at 38.0% compared to 30.7% in Mars.
- Disability percentages are higher in Mars at 20.0% 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 | Mars | Columbus |
|---|---|---|
| No Schooling | 0.3% (5) | 1.4% (12,592) |
| High School Diploma | 23.1% (331) | 14.4% (130,716) |
| Less than High School | 7.6% (108) | 9.7% (87,770) |
| Bachelor's Degree and Higher | 16.4% (235) | 25.2% (229,071) |
Education Levels Comparison: Mars vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.4% compared to 0.3% in Mars.
- A higher percentage of residents in Mars hold a high school diploma at 23.1% compared to 14.4% in Columbus.
- The percentage of residents with less than a high school education is higher in Columbus at 9.7%, compared to 7.6% in Mars.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 25.2% compared to 16.4% in Mars.
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.