Demographics details for Valley, AL vs Sikeston, MO
Population Overview
Compare main population characteristics in Valley, AL vs Sikeston, MO.
| Data | Valley | Sikeston |
|---|---|---|
| Population | 10,323 | 16,073 |
| Median Age | 32.5 years | 37.3 years |
| Median Income | $54,237 | $47,464 |
| Married Families | 30.0% | 36.0% |
| Poverty Level | 14% | 16% |
| Unemployment Rate | 3.2 | 3.4 |
Population Comparison: Valley vs Sikeston
- The population in Sikeston is higher at 16,073, compared to 10,323 in Valley.
- The median age in Sikeston is higher at 37.3 years, compared to 32.5 years in Valley.
- Valley has a higher median income of $54,237 compared to $47,464 in Sikeston.
- In Sikeston, the percentage of married families is higher at 36.0%, compared to 30.0% in Valley.
- The poverty level is higher in Sikeston at 16%, compared to 14% in Valley.
- Sikeston has a higher unemployment rate at 3.4% compared to 3.2% in Valley.
Demographics
Demographics Valley vs Sikeston provide insight into the diversity of the communities to compare.
| Demographic | Valley | Sikeston |
|---|---|---|
| Black | 39 | 25 |
| White | 56 | 65 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 3 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Valley vs Sikeston
- A higher percentage of Black residents are in Valley at 39% compared to 25% in Sikeston.
- The percentage of White residents is higher in Sikeston at 65% compared to 56% in Valley.
- Both Valley and Sikeston have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Valley and Sikeston at 3%.
- The percentage of residents identifying as two or more races is higher in Sikeston at 7%, compared to 2% in Valley.
- The percentage of American Indian residents is the same in both Valley and Sikeston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Valley | Sikeston |
|---|---|---|
| Mental Health Not Good | 19.5% | 19.8% |
| Physical Health Not Good | 13.6% | 14.7% |
| Depression | 23.5% | 24.6% |
| Smoking | 20.1% | 23.9% |
| Binge Drinking | 14.3% | 15.8% |
| Obesity | 42.9% | 39.0% |
| Disability Percentage | 16.0% | 20.0% |
Health Statistics Comparison: Valley vs Sikeston
- In Sikeston, a higher percentage report poor mental health at 19.8% compared to 19.5% in Valley.
- Higher depression rates are seen in Sikeston at 24.6% versus 23.5% in Valley.
- Sikeston has a higher smoking rate at 23.9% compared to 20.1% in Valley.
- More residents engage in binge drinking in Sikeston at 15.8% compared to 14.3% in Valley.
- Obesity rates are higher in Valley at 42.9% compared to 39.0% in Sikeston.
- There is a higher percentage of disabled individuals in Sikeston at 20.0% compared to 16.0% in Valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Valley | Sikeston |
|---|---|---|
| No Schooling | 2.4% (252) | 0.5% (76) |
| High School Diploma | 22.3% (2,302) | 23.0% (3,696) |
| Less than High School | 14.2% (1,467) | 13.3% (2,142) |
| Bachelor's Degree and Higher | 9.3% (956) | 16.3% (2,619) |
Education Levels Comparison: Valley vs Sikeston
- A higher percentage of residents in Valley have no formal schooling at 2.4% compared to 0.5% in Sikeston.
- In Sikeston, the rate of residents with high school diplomas is higher at 23.0% compared to 22.3% in Valley.
- More residents in Valley have less than a high school education at 14.2% 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 9.3% in Valley.
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.