Demographics details for Sikeston, MO vs Sudan, TX
Population Overview
Compare main population characteristics in Sikeston, MO vs Sudan, TX.
| Data | Sikeston | Sudan |
|---|---|---|
| Population | 16,073 | 928 |
| Median Age | 37.3 years | 30.9 years |
| Median Income | $47,464 | $69,175 |
| Married Families | 36.0% | 40.0% |
| Poverty Level | 16% | 12% |
| Unemployment Rate | 3.4 | 2.2 |
Population Comparison: Sikeston vs Sudan
- In Sikeston, the population is higher at 16,073, compared to 928 in Sudan.
- Residents in Sikeston have a higher median age of 37.3 years compared to 30.9 years in Sudan.
- Sudan has a higher median income of $69,175, compared to $47,464 in Sikeston.
- In Sudan, the percentage of married families is higher at 40.0%, compared to 36.0% in Sikeston.
- Sikeston has a higher poverty level at 16% compared to 12% in Sudan.
- The unemployment rate in Sikeston is higher at 3.4%, compared to 2.2% in Sudan.
Demographics
Demographics Sikeston vs Sudan provide insight into the diversity of the communities to compare.
| Demographic | Sikeston | Sudan |
|---|---|---|
| Black | 25 | 2 |
| White | 65 | 29 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 58 |
| Two or More Races | 7 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sikeston vs Sudan
- A higher percentage of Black residents are in Sikeston at 25% compared to 2% in Sudan.
- Sikeston has a higher percentage of White residents at 65% compared to 29% in Sudan.
- Both Sikeston and Sudan have the same percentage of Asian residents at 0%.
- Sudan has a higher percentage of Hispanic residents at 58%, compared to 3% in Sikeston.
- The percentage of residents identifying as two or more races is higher in Sudan at 11%, compared to 7% in Sikeston.
- The percentage of American Indian residents is the same in both Sikeston and Sudan at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sikeston | Sudan |
|---|---|---|
| Mental Health Not Good | 19.8% | 18.2% |
| Physical Health Not Good | 14.7% | 13.3% |
| Depression | 24.6% | 24.0% |
| Smoking | 23.9% | 18.5% |
| Binge Drinking | 15.8% | 17.6% |
| Obesity | 39.0% | 37.3% |
| Disability Percentage | 20.0% | 19.0% |
Health Statistics Comparison: Sikeston vs Sudan
- More residents in Sikeston report poor mental health at 19.8% compared to 18.2% in Sudan.
- Depression is more prevalent in Sikeston at 24.6% compared to 24.0% in Sudan.
- Smoking is more prevalent in Sikeston at 23.9% compared to 18.5% in Sudan.
- More residents engage in binge drinking in Sudan at 17.6% compared to 15.8% in Sikeston.
- Obesity rates are higher in Sikeston at 39.0% compared to 37.3% in Sudan.
- Disability percentages are higher in Sikeston at 20.0% compared to 19.0% in Sudan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sikeston | Sudan |
|---|---|---|
| No Schooling | 0.5% (76) | 2.0% (19) |
| High School Diploma | 23.0% (3,696) | 25.5% (237) |
| Less than High School | 13.3% (2,142) | 16.4% (152) |
| Bachelor's Degree and Higher | 16.3% (2,619) | 10.9% (101) |
Education Levels Comparison: Sikeston vs Sudan
- In Sudan, a larger percentage of residents lack formal schooling at 2.0% compared to 0.5% in Sikeston.
- In Sudan, the rate of residents with high school diplomas is higher at 25.5% compared to 23.0% in Sikeston.
- The percentage of residents with less than a high school education is higher in Sudan at 16.4%, compared to 13.3% in Sikeston.
- A higher percentage of residents in Sikeston hold a bachelor's degree or higher at 16.3% compared to 10.9% in Sudan.
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.