Demographics details for Columbus, MS vs Honolulu, HI
Population Overview
Compare main population characteristics in Columbus, MS vs Honolulu, HI.
Data | Columbus | Honolulu |
---|---|---|
Population | 23,273 | 371,657 |
Median Age | 38.5 years | 38.0 years |
Median Income | $38,954 | $85,500 |
Married Families | 25.0% | 13000.0% |
Poverty Level | 19% | 9% |
Unemployment Rate | 3.8 | 2.7 |
Population Comparison: Columbus vs Honolulu
- The population in Honolulu is higher at 371,657, compared to 23,273 in Columbus.
- Residents in Columbus have a higher median age of 38.5 years compared to 38.0 years in Honolulu.
- Honolulu has a higher median income of $85,500, compared to $38,954 in Columbus.
- In Honolulu, the percentage of married families is higher at 13000.0%, compared to 25.0% in Columbus.
- Columbus has a higher poverty level at 19% compared to 9% in Honolulu.
- The unemployment rate in Columbus is higher at 3.8%, compared to 2.7% in Honolulu.
Demographics
Demographics Columbus vs Honolulu provide insight into the diversity of the communities to compare.
Demographic | Columbus | Honolulu |
---|---|---|
Black | 66 | 2 |
White | 28 | 38 |
Asian | 2 | 56 |
Hispanic | 2 | 4 |
Two or More Races | 2 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Honolulu
- A higher percentage of Black residents are in Columbus at 66% compared to 2% in Honolulu.
- The percentage of White residents is higher in Honolulu at 38% compared to 28% in Columbus.
- In Honolulu, the Asian population stands at 56%, greater than 2% in Columbus.
- Honolulu has a higher percentage of Hispanic residents at 4%, compared to 2% in Columbus.
- More residents identify as two or more races in Columbus at 2% compared to 0% in Honolulu.
- The percentage of American Indian residents is the same in both Columbus and Honolulu at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Columbus | Honolulu |
---|---|---|
Mental Health Not Good | 17.4% | Data is updating% |
Physical Health Not Good | 13.6% | Data is updating% |
Depression | 20.0% | Data is updating% |
Smoking | 21.0% | Data is updating% |
Binge Drinking | 11.8% | Data is updating% |
Obesity | 44.8% | Data is updating% |
Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: Columbus vs Honolulu
- More residents in Columbus report poor mental health at 17.4% compared to 0.0% in Honolulu.
- Depression is more prevalent in Columbus at 20.0% compared to 0.0% in Honolulu.
- Smoking is more prevalent in Columbus at 21.0% compared to 0.0% in Honolulu.
- Binge drinking is more common in Columbus at 11.8% compared to 0.0% in Honolulu.
- Obesity rates are higher in Columbus at 44.8% compared to 0.0% in Honolulu.
- Disability percentages are higher in Columbus at 12.0% compared to 0.0% in Honolulu.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Columbus | Honolulu |
---|---|---|
No Schooling | 1.1% (260) | 0.0% (Data is updating) |
High School Diploma | 18.4% (4,272) | 0.0% (Data is updating) |
Less than High School | 11.0% (2,559) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 17.1% (3,971) | 0.0% (Data is updating) |
Education Levels Comparison: Columbus vs Honolulu
- A higher percentage of residents in Columbus have no formal schooling at 1.1% compared to 0.0% in Honolulu.
- A higher percentage of residents in Columbus hold a high school diploma at 18.4% compared to 0.0% in Honolulu.
- More residents in Columbus have less than a high school education at 11.0% compared to 0.0% in Honolulu.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 17.1% compared to 0.0% in Honolulu.
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.