Demographics details for Sikeston, MO vs Wilmington, NC
Population Overview
Compare main population characteristics in Sikeston, MO vs Wilmington, NC.
| Data | Sikeston | Wilmington |
|---|---|---|
| Population | 16,073 | 120,324 |
| Median Age | 37.3 years | 37.6 years |
| Median Income | $47,464 | $58,908 |
| Married Families | 36.0% | 32.0% |
| Poverty Level | 16% | 12% |
| Unemployment Rate | 3.4 | 3.7 |
Population Comparison: Sikeston vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 16,073 in Sikeston.
- The median age in Wilmington is higher at 37.6 years, compared to 37.3 years in Sikeston.
- Wilmington has a higher median income of $58,908, compared to $47,464 in Sikeston.
- A higher percentage of married families is found in Sikeston at 36.0% compared to 32.0% in Wilmington.
- Sikeston has a higher poverty level at 16% compared to 12% in Wilmington.
- Wilmington has a higher unemployment rate at 3.7% compared to 3.4% in Sikeston.
Demographics
Demographics Sikeston vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Sikeston | Wilmington |
|---|---|---|
| Black | 25 | 16 |
| White | 65 | 71 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 7 |
| Two or More Races | 7 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sikeston vs Wilmington
- A higher percentage of Black residents are in Sikeston at 25% compared to 16% in Wilmington.
- The percentage of White residents is higher in Wilmington at 71% compared to 65% in Sikeston.
- In Wilmington, the Asian population stands at 1%, greater than 0% in Sikeston.
- Wilmington has a higher percentage of Hispanic residents at 7%, compared to 3% in Sikeston.
- More residents identify as two or more races in Sikeston at 7% compared to 5% in Wilmington.
- The percentage of American Indian residents is the same in both Sikeston and Wilmington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sikeston | Wilmington |
|---|---|---|
| Mental Health Not Good | 19.8% | 16.9% |
| Physical Health Not Good | 14.7% | 11.0% |
| Depression | 24.6% | 25.0% |
| Smoking | 23.9% | 16.5% |
| Binge Drinking | 15.8% | 18.5% |
| Obesity | 39.0% | 33.2% |
| Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Sikeston vs Wilmington
- More residents in Sikeston report poor mental health at 19.8% compared to 16.9% in Wilmington.
- Higher depression rates are seen in Wilmington at 25.0% versus 24.6% in Sikeston.
- Smoking is more prevalent in Sikeston at 23.9% compared to 16.5% in Wilmington.
- More residents engage in binge drinking in Wilmington at 18.5% compared to 15.8% in Sikeston.
- Obesity rates are higher in Sikeston at 39.0% compared to 33.2% in Wilmington.
- Disability percentages are higher in Sikeston at 20.0% compared to 12.0% in Wilmington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sikeston | Wilmington |
|---|---|---|
| No Schooling | 0.5% (76) | 0.5% (560) |
| High School Diploma | 23.0% (3,696) | 10.5% (12,679) |
| Less than High School | 13.3% (2,142) | 7.1% (8,513) |
| Bachelor's Degree and Higher | 16.3% (2,619) | 28.5% (34,319) |
Education Levels Comparison: Sikeston vs Wilmington
- The percentage of residents with no formal schooling is the same in both Sikeston and Wilmington at 0.5%.
- A higher percentage of residents in Sikeston hold a high school diploma at 23.0% compared to 10.5% in Wilmington.
- More residents in Sikeston have less than a high school education at 13.3% compared to 7.1% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 16.3% in Sikeston.
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.