Demographics details for Sister bay, WI vs Columbus, MS
Population Overview
Compare main population characteristics in Sister bay, WI vs Columbus, MS.
| Data | Sister bay | Columbus |
|---|---|---|
| Population | 1,172 | 23,273 |
| Median Age | 60.4 years | 38.5 years |
| Median Income | $48,295 | $38,954 |
| Married Families | 35.0% | 25.0% |
| Poverty Level | 9% | 19% |
| Unemployment Rate | 2.9 | 3.8 |
Population Comparison: Sister bay vs Columbus
- The population in Columbus is higher at 23,273, compared to 1,172 in Sister bay.
- Residents in Sister bay have a higher median age of 60.4 years compared to 38.5 years in Columbus.
- Sister bay has a higher median income of $48,295 compared to $38,954 in Columbus.
- A higher percentage of married families is found in Sister bay at 35.0% compared to 25.0% in Columbus.
- The poverty level is higher in Columbus at 19%, compared to 9% in Sister bay.
- Columbus has a higher unemployment rate at 3.8% compared to 2.9% in Sister bay.
Demographics
Demographics Sister bay vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Sister bay | Columbus |
|---|---|---|
| Black | Data is updating | 66 |
| White | 98 | 28 |
| Asian | Data is updating | 2 |
| Hispanic | 1 | 2 |
| Two or More Races | 1 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sister bay vs Columbus
- In Columbus, the percentage of Black residents is higher at 66% compared to 0% in Sister bay.
- Sister bay has a higher percentage of White residents at 98% compared to 28% in Columbus.
- In Columbus, the Asian population stands at 2%, greater than 0% in Sister bay.
- Columbus has a higher percentage of Hispanic residents at 2%, compared to 1% in Sister bay.
- The percentage of residents identifying as two or more races is higher in Columbus at 2%, compared to 1% in Sister bay.
- The percentage of American Indian residents is the same in both Sister bay and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sister bay | Columbus |
|---|---|---|
| Mental Health Not Good | 12.4% | 17.4% |
| Physical Health Not Good | 7.7% | 13.6% |
| Depression | 20.8% | 20.0% |
| Smoking | 11.1% | 21.0% |
| Binge Drinking | 25.7% | 11.8% |
| Obesity | 31.7% | 44.8% |
| Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Sister bay vs Columbus
- In Columbus, a higher percentage report poor mental health at 17.4% compared to 12.4% in Sister bay.
- Depression is more prevalent in Sister bay at 20.8% compared to 20.0% in Columbus.
- Columbus has a higher smoking rate at 21.0% compared to 11.1% in Sister bay.
- Binge drinking is more common in Sister bay at 25.7% compared to 11.8% in Columbus.
- Columbus has higher obesity rates at 44.8% compared to 31.7% in Sister bay.
- Disability percentages are higher in Sister bay at 16.0% 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 | Sister bay | Columbus |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.1% (260) |
| High School Diploma | 12.5% (147) | 18.4% (4,272) |
| Less than High School | 1.0% (12) | 11.0% (2,559) |
| Bachelor's Degree and Higher | 28.1% (329) | 17.1% (3,971) |
Education Levels Comparison: Sister bay vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Sister bay.
- In Columbus, the rate of residents with high school diplomas is higher at 18.4% compared to 12.5% in Sister bay.
- The percentage of residents with less than a high school education is higher in Columbus at 11.0%, compared to 1.0% in Sister bay.
- A higher percentage of residents in Sister bay hold a bachelor's degree or higher at 28.1% 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.