Demographics details for Whiting, KS vs Columbus, MS
Population Overview
Compare main population characteristics in Whiting, KS vs Columbus, MS.
| Data | Whiting | Columbus |
|---|---|---|
| Population | 195 | 23,273 |
| Median Age | 33.7 years | 38.5 years |
| Median Income | $52,000 | $38,954 |
| Married Families | 47.0% | 25.0% |
| Poverty Level | Data is updating | 19% |
| Unemployment Rate | Data is updating | 3.8 |
Population Comparison: Whiting vs Columbus
- The population in Columbus is higher at 23,273, compared to 195 in Whiting.
- The median age in Columbus is higher at 38.5 years, compared to 33.7 years in Whiting.
- Whiting has a higher median income of $52,000 compared to $38,954 in Columbus.
- A higher percentage of married families is found in Whiting at 47.0% compared to 25.0% in Columbus.
- The poverty level is higher in Columbus at 19%, compared to 0% in Whiting.
- Columbus has a higher unemployment rate at 3.8% compared to 0.0% in Whiting.
Demographics
Demographics Whiting vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Whiting | Columbus |
|---|---|---|
| Black | Data is updating | 66 |
| White | 87 | 28 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 2 |
| Two or More Races | 11 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Whiting vs Columbus
- In Columbus, the percentage of Black residents is higher at 66% compared to 0% in Whiting.
- Whiting has a higher percentage of White residents at 87% compared to 28% in Columbus.
- In Columbus, the Asian population stands at 2%, greater than 0% in Whiting.
- The percentage of Hispanic residents is the same in both Whiting and Columbus at 2%.
- More residents identify as two or more races in Whiting at 11% compared to 2% in Columbus.
- The percentage of American Indian residents is the same in both Whiting and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whiting | Columbus |
|---|---|---|
| Mental Health Not Good | 16.1% | 17.4% |
| Physical Health Not Good | 9.9% | 13.6% |
| Depression | 22.9% | 20.0% |
| Smoking | 17.9% | 21.0% |
| Binge Drinking | 19.3% | 11.8% |
| Obesity | 39.3% | 44.8% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Whiting vs Columbus
- In Columbus, a higher percentage report poor mental health at 17.4% compared to 16.1% in Whiting.
- Depression is more prevalent in Whiting at 22.9% compared to 20.0% in Columbus.
- Columbus has a higher smoking rate at 21.0% compared to 17.9% in Whiting.
- Binge drinking is more common in Whiting at 19.3% compared to 11.8% in Columbus.
- Columbus has higher obesity rates at 44.8% compared to 39.3% in Whiting.
- Disability percentages are higher in Whiting at 13.0% 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 | Whiting | Columbus |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.1% (260) |
| High School Diploma | 28.7% (56) | 18.4% (4,272) |
| Less than High School | 9.2% (18) | 11.0% (2,559) |
| Bachelor's Degree and Higher | 14.9% (29) | 17.1% (3,971) |
Education Levels Comparison: Whiting vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Whiting.
- A higher percentage of residents in Whiting hold a high school diploma at 28.7% compared to 18.4% in Columbus.
- The percentage of residents with less than a high school education is higher in Columbus at 11.0%, compared to 9.2% in Whiting.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 14.9% in Whiting.
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.