Demographics details for Sikeston, MO vs Laurel, IN
Population Overview
Compare main population characteristics in Sikeston, MO vs Laurel, IN.
| Data | Sikeston | Laurel |
|---|---|---|
| Population | 16,073 | 411 |
| Median Age | 37.3 years | 27.8 years |
| Median Income | $47,464 | $23,125 |
| Married Families | 36.0% | 25.0% |
| Poverty Level | 16% | 11% |
| Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Sikeston vs Laurel
- In Sikeston, the population is higher at 16,073, compared to 411 in Laurel.
- Residents in Sikeston have a higher median age of 37.3 years compared to 27.8 years in Laurel.
- Sikeston has a higher median income of $47,464 compared to $23,125 in Laurel.
- A higher percentage of married families is found in Sikeston at 36.0% compared to 25.0% in Laurel.
- Sikeston has a higher poverty level at 16% compared to 11% in Laurel.
- Laurel has a higher unemployment rate at 3.5% compared to 3.4% in Sikeston.
Demographics
Demographics Sikeston vs Laurel provide insight into the diversity of the communities to compare.
| Demographic | Sikeston | Laurel |
|---|---|---|
| Black | 25 | 5 |
| White | 65 | 74 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 7 | 21 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sikeston vs Laurel
- A higher percentage of Black residents are in Sikeston at 25% compared to 5% in Laurel.
- The percentage of White residents is higher in Laurel at 74% compared to 65% in Sikeston.
- Both Sikeston and Laurel have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Sikeston at 3% compared to 0% in Laurel.
- The percentage of residents identifying as two or more races is higher in Laurel at 21%, compared to 7% in Sikeston.
- The percentage of American Indian residents is the same in both Sikeston and Laurel at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sikeston | Laurel |
|---|---|---|
| Mental Health Not Good | 19.8% | 19.6% |
| Physical Health Not Good | 14.7% | 14.0% |
| Depression | 24.6% | 27.9% |
| Smoking | 23.9% | 26.2% |
| Binge Drinking | 15.8% | 17.0% |
| Obesity | 39.0% | 37.5% |
| Disability Percentage | 20.0% | 23.0% |
Health Statistics Comparison: Sikeston vs Laurel
- More residents in Sikeston report poor mental health at 19.8% compared to 19.6% in Laurel.
- Higher depression rates are seen in Laurel at 27.9% versus 24.6% in Sikeston.
- Laurel has a higher smoking rate at 26.2% compared to 23.9% in Sikeston.
- More residents engage in binge drinking in Laurel at 17.0% compared to 15.8% in Sikeston.
- Obesity rates are higher in Sikeston at 39.0% compared to 37.5% in Laurel.
- There is a higher percentage of disabled individuals in Laurel at 23.0% compared to 20.0% in Sikeston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sikeston | Laurel |
|---|---|---|
| No Schooling | 0.5% (76) | 0.5% (2) |
| High School Diploma | 23.0% (3,696) | 30.7% (126) |
| Less than High School | 13.3% (2,142) | 47.9% (197) |
| Bachelor's Degree and Higher | 16.3% (2,619) | 1.9% (8) |
Education Levels Comparison: Sikeston vs Laurel
- The percentage of residents with no formal schooling is the same in both Sikeston and Laurel at 0.5%.
- In Laurel, the rate of residents with high school diplomas is higher at 30.7% compared to 23.0% in Sikeston.
- The percentage of residents with less than a high school education is higher in Laurel at 47.9%, 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 1.9% in Laurel.
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.