Demographics details for Columbus, MS vs Scott city, KS
Population Overview
Compare main population characteristics in Columbus, MS vs Scott city, KS.
| Data | Columbus | Scott city |
|---|---|---|
| Population | 23,273 | 4,008 |
| Median Age | 38.5 years | 36.0 years |
| Median Income | $38,954 | $47,217 |
| Married Families | 25.0% | 44.0% |
| Poverty Level | 19% | 10% |
| Unemployment Rate | 3.8 | 4.0 |
Population Comparison: Columbus vs Scott city
- In Columbus, the population is higher at 23,273, compared to 4,008 in Scott city.
- Residents in Columbus have a higher median age of 38.5 years compared to 36.0 years in Scott city.
- Scott city has a higher median income of $47,217, compared to $38,954 in Columbus.
- In Scott city, the percentage of married families is higher at 44.0%, compared to 25.0% in Columbus.
- Columbus has a higher poverty level at 19% compared to 10% in Scott city.
- Scott city has a higher unemployment rate at 4.0% compared to 3.8% in Columbus.
Demographics
Demographics Columbus vs Scott city provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Scott city |
|---|---|---|
| Black | 66 | Data is updating |
| White | 28 | 69 |
| Asian | 2 | 1 |
| Hispanic | 2 | 25 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Scott city
- A higher percentage of Black residents are in Columbus at 66% compared to 0% in Scott city.
- The percentage of White residents is higher in Scott city at 69% compared to 28% in Columbus.
- The Asian population is larger in Columbus at 2% compared to 1% in Scott city.
- Scott city has a higher percentage of Hispanic residents at 25%, compared to 2% in Columbus.
- The percentage of residents identifying as two or more races is higher in Scott city at 5%, compared to 2% in Columbus.
- The percentage of American Indian residents is the same in both Columbus and Scott city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Scott city |
|---|---|---|
| Mental Health Not Good | 17.4% | 15.6% |
| Physical Health Not Good | 13.6% | 10.3% |
| Depression | 20.0% | 19.7% |
| Smoking | 21.0% | 17.6% |
| Binge Drinking | 11.8% | 19.2% |
| Obesity | 44.8% | 38.1% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Columbus vs Scott city
- More residents in Columbus report poor mental health at 17.4% compared to 15.6% in Scott city.
- Depression is more prevalent in Columbus at 20.0% compared to 19.7% in Scott city.
- Smoking is more prevalent in Columbus at 21.0% compared to 17.6% in Scott city.
- More residents engage in binge drinking in Scott city at 19.2% compared to 11.8% in Columbus.
- Obesity rates are higher in Columbus at 44.8% compared to 38.1% in Scott city.
- Disability percentages are higher in Columbus at 12.0% compared to 11.0% in Scott city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Scott city |
|---|---|---|
| No Schooling | 1.1% (260) | 2.9% (116) |
| High School Diploma | 18.4% (4,272) | 13.5% (543) |
| Less than High School | 11.0% (2,559) | 24.2% (968) |
| Bachelor's Degree and Higher | 17.1% (3,971) | 12.2% (490) |
Education Levels Comparison: Columbus vs Scott city
- In Scott city, a larger percentage of residents lack formal schooling at 2.9% compared to 1.1% in Columbus.
- A higher percentage of residents in Columbus hold a high school diploma at 18.4% compared to 13.5% in Scott city.
- The percentage of residents with less than a high school education is higher in Scott city at 24.2%, compared to 11.0% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 17.1% compared to 12.2% in Scott city.
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.