Demographics details for Whitehall, WI vs Sikeston, MO
Population Overview
Compare main population characteristics in Whitehall, WI vs Sikeston, MO.
| Data | Whitehall | Sikeston |
|---|---|---|
| Population | 1,632 | 16,073 |
| Median Age | 36.8 years | 37.3 years |
| Median Income | $56,894 | $47,464 |
| Married Families | 30.0% | 36.0% |
| Poverty Level | 7% | 16% |
| Unemployment Rate | 3.6 | 3.4 |
Population Comparison: Whitehall vs Sikeston
- The population in Sikeston is higher at 16,073, compared to 1,632 in Whitehall.
- The median age in Sikeston is higher at 37.3 years, compared to 36.8 years in Whitehall.
- Whitehall has a higher median income of $56,894 compared to $47,464 in Sikeston.
- In Sikeston, the percentage of married families is higher at 36.0%, compared to 30.0% in Whitehall.
- The poverty level is higher in Sikeston at 16%, compared to 7% in Whitehall.
- The unemployment rate in Whitehall is higher at 3.6%, compared to 3.4% in Sikeston.
Demographics
Demographics Whitehall vs Sikeston provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Sikeston |
|---|---|---|
| Black | 1 | 25 |
| White | 83 | 65 |
| Asian | Data is updating | Data is updating |
| Hispanic | 12 | 3 |
| Two or More Races | 3 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Whitehall vs Sikeston
- In Sikeston, the percentage of Black residents is higher at 25% compared to 1% in Whitehall.
- Whitehall has a higher percentage of White residents at 83% compared to 65% in Sikeston.
- Both Whitehall and Sikeston have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Whitehall at 12% compared to 3% in Sikeston.
- The percentage of residents identifying as two or more races is higher in Sikeston at 7%, compared to 3% in Whitehall.
- A greater percentage of American Indian residents live in Whitehall at 1% compared to 0% in Sikeston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Sikeston |
|---|---|---|
| Mental Health Not Good | 15.2% | 19.8% |
| Physical Health Not Good | 10.3% | 14.7% |
| Depression | 24.0% | 24.6% |
| Smoking | 16.7% | 23.9% |
| Binge Drinking | 24.4% | 15.8% |
| Obesity | 34.9% | 39.0% |
| Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: Whitehall vs Sikeston
- In Sikeston, a higher percentage report poor mental health at 19.8% compared to 15.2% in Whitehall.
- Higher depression rates are seen in Sikeston at 24.6% versus 24.0% in Whitehall.
- Sikeston has a higher smoking rate at 23.9% compared to 16.7% in Whitehall.
- Binge drinking is more common in Whitehall at 24.4% compared to 15.8% in Sikeston.
- Sikeston has higher obesity rates at 39.0% compared to 34.9% in Whitehall.
- There is a higher percentage of disabled individuals in Sikeston at 20.0% compared to 15.0% in Whitehall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Whitehall | Sikeston |
|---|---|---|
| No Schooling | 0.4% (7) | 0.5% (76) |
| High School Diploma | 24.4% (398) | 23.0% (3,696) |
| Less than High School | 15.7% (256) | 13.3% (2,142) |
| Bachelor's Degree and Higher | 8.6% (141) | 16.3% (2,619) |
Education Levels Comparison: Whitehall vs Sikeston
- In Sikeston, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Whitehall.
- A higher percentage of residents in Whitehall hold a high school diploma at 24.4% compared to 23.0% in Sikeston.
- More residents in Whitehall have less than a high school education at 15.7% compared to 13.3% in Sikeston.
- In Sikeston, a larger share of residents have a bachelor's degree or higher at 16.3% compared to 8.6% in Whitehall.
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.