Demographics details for Sikeston, MO vs Fort thomas, KY
Population Overview
Compare main population characteristics in Sikeston, MO vs Fort thomas, KY.
| Data | Sikeston | Fort thomas |
|---|---|---|
| Population | 16,073 | 17,133 |
| Median Age | 37.3 years | 37.9 years |
| Median Income | $47,464 | $95,391 |
| Married Families | 36.0% | 45.0% |
| Poverty Level | 16% | 6% |
| Unemployment Rate | 3.4 | 3.0 |
Population Comparison: Sikeston vs Fort thomas
- The population in Fort thomas is higher at 17,133, compared to 16,073 in Sikeston.
- The median age in Fort thomas is higher at 37.9 years, compared to 37.3 years in Sikeston.
- Fort thomas has a higher median income of $95,391, compared to $47,464 in Sikeston.
- In Fort thomas, the percentage of married families is higher at 45.0%, compared to 36.0% in Sikeston.
- Sikeston has a higher poverty level at 16% compared to 6% in Fort thomas.
- The unemployment rate in Sikeston is higher at 3.4%, compared to 3.0% in Fort thomas.
Demographics
Demographics Sikeston vs Fort thomas provide insight into the diversity of the communities to compare.
| Demographic | Sikeston | Fort thomas |
|---|---|---|
| Black | 25 | 2 |
| White | 65 | 92 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 1 |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sikeston vs Fort thomas
- A higher percentage of Black residents are in Sikeston at 25% compared to 2% in Fort thomas.
- The percentage of White residents is higher in Fort thomas at 92% compared to 65% in Sikeston.
- In Fort thomas, the Asian population stands at 1%, greater than 0% in Sikeston.
- The Hispanic community is larger in Sikeston at 3% compared to 1% in Fort thomas.
- More residents identify as two or more races in Sikeston at 7% compared to 4% in Fort thomas.
- The percentage of American Indian residents is the same in both Sikeston and Fort thomas at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sikeston | Fort thomas |
|---|---|---|
| Mental Health Not Good | 19.8% | 15.5% |
| Physical Health Not Good | 14.7% | 9.7% |
| Depression | 24.6% | 26.2% |
| Smoking | 23.9% | 13.6% |
| Binge Drinking | 15.8% | 17.1% |
| Obesity | 39.0% | 32.4% |
| Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Sikeston vs Fort thomas
- More residents in Sikeston report poor mental health at 19.8% compared to 15.5% in Fort thomas.
- Higher depression rates are seen in Fort thomas at 26.2% versus 24.6% in Sikeston.
- Smoking is more prevalent in Sikeston at 23.9% compared to 13.6% in Fort thomas.
- More residents engage in binge drinking in Fort thomas at 17.1% compared to 15.8% in Sikeston.
- Obesity rates are higher in Sikeston at 39.0% compared to 32.4% in Fort thomas.
- Disability percentages are higher in Sikeston at 20.0% compared to 10.0% in Fort thomas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sikeston | Fort thomas |
|---|---|---|
| No Schooling | 0.5% (76) | 0.4% (66) |
| High School Diploma | 23.0% (3,696) | 10.7% (1,840) |
| Less than High School | 13.3% (2,142) | 3.3% (569) |
| Bachelor's Degree and Higher | 16.3% (2,619) | 37.3% (6,383) |
Education Levels Comparison: Sikeston vs Fort thomas
- A higher percentage of residents in Sikeston have no formal schooling at 0.5% compared to 0.4% in Fort thomas.
- A higher percentage of residents in Sikeston hold a high school diploma at 23.0% compared to 10.7% in Fort thomas.
- More residents in Sikeston have less than a high school education at 13.3% compared to 3.3% in Fort thomas.
- In Fort thomas, a larger share of residents have a bachelor's degree or higher at 37.3% 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.