Demographics details for Columbus, OH vs Maywood, IL
Population Overview
Compare main population characteristics in Columbus, OH vs Maywood, IL.
Data | Columbus | Maywood |
---|---|---|
Population | 907,971 | 22,932 |
Median Age | 32.7 years | 37.0 years |
Median Income | $62,994 | $64,767 |
Married Families | 29.0% | 30.0% |
Poverty Level | 14% | 14% |
Unemployment Rate | 5.0 | 9.9 |
Population Comparison: Columbus vs Maywood
- In Columbus, the population is higher at 907,971, compared to 22,932 in Maywood.
- The median age in Maywood is higher at 37.0 years, compared to 32.7 years in Columbus.
- Maywood has a higher median income of $64,767, compared to $62,994 in Columbus.
- In Maywood, the percentage of married families is higher at 30.0%, compared to 29.0% in Columbus.
- The poverty level is identical in both Columbus and Maywood at 14%.
- Maywood has a higher unemployment rate at 9.9% compared to 5.0% in Columbus.
Demographics
Demographics Columbus vs Maywood provide insight into the diversity of the communities to compare.
Demographic | Columbus | Maywood |
---|---|---|
Black | 29 | 62 |
White | 51 | -2 |
Asian | 6 | 1 |
Hispanic | 7 | 31 |
Two or More Races | 7 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Maywood
- In Maywood, the percentage of Black residents is higher at 62% compared to 29% in Columbus.
- Columbus has a higher percentage of White residents at 51% compared to -2% in Maywood.
- The Asian population is larger in Columbus at 6% compared to 1% in Maywood.
- Maywood has a higher percentage of Hispanic residents at 31%, compared to 7% in Columbus.
- The percentage of residents identifying as two or more races is higher in Maywood at 8%, compared to 7% in Columbus.
- The percentage of American Indian residents is the same in both Columbus and Maywood at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbus | Maywood |
---|---|---|
Mental Health Not Good | 18.4% | 15.6% |
Physical Health Not Good | 12.2% | 12.5% |
Depression | 23.9% | 14.9% |
Smoking | 19.6% | 17.5% |
Binge Drinking | 17.7% | 15.0% |
Obesity | 38.0% | 39.8% |
Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Columbus vs Maywood
- More residents in Columbus report poor mental health at 18.4% compared to 15.6% in Maywood.
- Depression is more prevalent in Columbus at 23.9% compared to 14.9% in Maywood.
- Smoking is more prevalent in Columbus at 19.6% compared to 17.5% in Maywood.
- Binge drinking is more common in Columbus at 17.7% compared to 15.0% in Maywood.
- Maywood has higher obesity rates at 39.8% compared to 38.0% in Columbus.
- There is a higher percentage of disabled individuals in Maywood at 13.0% 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 | Columbus | Maywood |
---|---|---|
No Schooling | 1.4% (12,592) | 2.7% (627) |
High School Diploma | 14.4% (130,716) | 19.2% (4,402) |
Less than High School | 9.7% (87,770) | 22.9% (5,253) |
Bachelor's Degree and Higher | 25.2% (229,071) | 10.4% (2,390) |
Education Levels Comparison: Columbus vs Maywood
- In Maywood, a larger percentage of residents lack formal schooling at 2.7% compared to 1.4% in Columbus.
- In Maywood, the rate of residents with high school diplomas is higher at 19.2% compared to 14.4% in Columbus.
- The percentage of residents with less than a high school education is higher in Maywood at 22.9%, compared to 9.7% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 25.2% compared to 10.4% in Maywood.
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.