Demographics details for Columbus, MS vs Keyport, WA
Population Overview
Compare main population characteristics in Columbus, MS vs Keyport, WA.
| Data | Columbus | Keyport |
|---|---|---|
| Population | 23,273 | 284 |
| Median Age | 38.5 years | 57.0 years |
| Median Income | $38,954 | $128,221 |
| Married Families | 25.0% | 58.0% |
| Poverty Level | 19% | 5% |
| Unemployment Rate | 3.8 | 3.0 |
Population Comparison: Columbus vs Keyport
- In Columbus, the population is higher at 23,273, compared to 284 in Keyport.
- The median age in Keyport is higher at 57.0 years, compared to 38.5 years in Columbus.
- Keyport has a higher median income of $128,221, compared to $38,954 in Columbus.
- In Keyport, the percentage of married families is higher at 58.0%, compared to 25.0% in Columbus.
- Columbus has a higher poverty level at 19% compared to 5% in Keyport.
- The unemployment rate in Columbus is higher at 3.8%, compared to 3.0% in Keyport.
Demographics
Demographics Columbus vs Keyport provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Keyport |
|---|---|---|
| Black | 66 | Data is updating |
| White | 28 | 95 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | 5 |
| Two or More Races | 2 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Keyport
- A higher percentage of Black residents are in Columbus at 66% compared to 0% in Keyport.
- The percentage of White residents is higher in Keyport at 95% compared to 28% in Columbus.
- The Asian population is larger in Columbus at 2% compared to 0% in Keyport.
- Keyport has a higher percentage of Hispanic residents at 5%, compared to 2% in Columbus.
- More residents identify as two or more races in Columbus at 2% compared to 0% in Keyport.
- The percentage of American Indian residents is the same in both Columbus and Keyport at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Keyport |
|---|---|---|
| Mental Health Not Good | 17.4% | 14.9% |
| Physical Health Not Good | 13.6% | 9.2% |
| Depression | 20.0% | 26.4% |
| Smoking | 21.0% | 11.5% |
| Binge Drinking | 11.8% | 18.9% |
| Obesity | 44.8% | 30.8% |
| Disability Percentage | 12.0% | 24.0% |
Health Statistics Comparison: Columbus vs Keyport
- More residents in Columbus report poor mental health at 17.4% compared to 14.9% in Keyport.
- Higher depression rates are seen in Keyport at 26.4% versus 20.0% in Columbus.
- Smoking is more prevalent in Columbus at 21.0% compared to 11.5% in Keyport.
- More residents engage in binge drinking in Keyport at 18.9% compared to 11.8% in Columbus.
- Obesity rates are higher in Columbus at 44.8% compared to 30.8% in Keyport.
- There is a higher percentage of disabled individuals in Keyport at 24.0% compared to 12.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Keyport |
|---|---|---|
| No Schooling | 1.1% (260) | 6.0% (17) |
| High School Diploma | 18.4% (4,272) | 8.8% (25) |
| Less than High School | 11.0% (2,559) | 12.0% (34) |
| Bachelor's Degree and Higher | 17.1% (3,971) | 37.3% (106) |
Education Levels Comparison: Columbus vs Keyport
- In Keyport, a larger percentage of residents lack formal schooling at 6.0% compared to 1.1% in Columbus.
- A higher percentage of residents in Columbus hold a high school diploma at 18.4% compared to 8.8% in Keyport.
- The percentage of residents with less than a high school education is higher in Keyport at 12.0%, compared to 11.0% in Columbus.
- In Keyport, a larger share of residents have a bachelor's degree or higher at 37.3% compared to 17.1% 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.