Demographics details for Simms, TX vs Sikeston, MO
Population Overview
Compare main population characteristics in Simms, TX vs Sikeston, MO.
Data | Simms | Sikeston |
---|---|---|
Population | 160 | 16,073 |
Median Age | 39.0 years | 37.3 years |
Median Income | $51,000 | $47,464 |
Married Families | 60.0% | 36.0% |
Poverty Level | 15% | 16% |
Unemployment Rate | 5.0 | 3.4 |
Population Comparison: Simms vs Sikeston
- The population in Sikeston is higher at 16,073, compared to 160 in Simms.
- Residents in Simms have a higher median age of 39.0 years compared to 37.3 years in Sikeston.
- Simms has a higher median income of $51,000 compared to $47,464 in Sikeston.
- A higher percentage of married families is found in Simms at 60.0% compared to 36.0% in Sikeston.
- The poverty level is higher in Sikeston at 16%, compared to 15% in Simms.
- The unemployment rate in Simms is higher at 5.0%, compared to 3.4% in Sikeston.
Demographics
Demographics Simms vs Sikeston provide insight into the diversity of the communities to compare.
Demographic | Simms | Sikeston |
---|---|---|
Black | 2 | 25 |
White | 94 | 65 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 3 |
Two or More Races | Data is updating | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Simms vs Sikeston
- In Sikeston, the percentage of Black residents is higher at 25% compared to 2% in Simms.
- Simms has a higher percentage of White residents at 94% compared to 65% in Sikeston.
- Both Simms and Sikeston have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Simms at 4% compared to 3% in Sikeston.
- The percentage of residents identifying as two or more races is higher in Sikeston at 7%, compared to 0% in Simms.
- The percentage of American Indian residents is the same in both Simms and Sikeston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Simms | Sikeston |
---|---|---|
Mental Health Not Good | Data is updating% | 19.8% |
Physical Health Not Good | Data is updating% | 14.7% |
Depression | Data is updating% | 24.6% |
Smoking | Data is updating% | 23.9% |
Binge Drinking | Data is updating% | 15.8% |
Obesity | Data is updating% | 39.0% |
Disability Percentage | Data is updating% | 20.0% |
Health Statistics Comparison: Simms vs Sikeston
- In Sikeston, a higher percentage report poor mental health at 19.8% compared to 0.0% in Simms.
- Higher depression rates are seen in Sikeston at 24.6% versus 0.0% in Simms.
- Sikeston has a higher smoking rate at 23.9% compared to 0.0% in Simms.
- More residents engage in binge drinking in Sikeston at 15.8% compared to 0.0% in Simms.
- Sikeston has higher obesity rates at 39.0% compared to 0.0% in Simms.
- There is a higher percentage of disabled individuals in Sikeston at 20.0% compared to 0.0% in Simms.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Simms | Sikeston |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.5% (76) |
High School Diploma | 0.0% (Data is updating) | 23.0% (3,696) |
Less than High School | 0.0% (Data is updating) | 13.3% (2,142) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 16.3% (2,619) |
Education Levels Comparison: Simms vs Sikeston
- In Sikeston, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Simms.
- In Sikeston, the rate of residents with high school diplomas is higher at 23.0% compared to 0.0% in Simms.
- The percentage of residents with less than a high school education is higher in Sikeston at 13.3%, compared to 0.0% in Simms.
- In Sikeston, a larger share of residents have a bachelor's degree or higher at 16.3% compared to 0.0% in Simms.
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.