Demographics details for Sikeston, MO vs Arnett, WV
Population Overview
Compare main population characteristics in Sikeston, MO vs Arnett, WV.
Data | Sikeston | Arnett |
---|---|---|
Population | 16,073 | 59 |
Median Age | 37.3 years | 42.0 years |
Median Income | $47,464 | $35,000 |
Married Families | 36.0% | 24.0% |
Poverty Level | 16% | 35% |
Unemployment Rate | 3.4 | 5.0 |
Population Comparison: Sikeston vs Arnett
- In Sikeston, the population is higher at 16,073, compared to 59 in Arnett.
- The median age in Arnett is higher at 42.0 years, compared to 37.3 years in Sikeston.
- Sikeston has a higher median income of $47,464 compared to $35,000 in Arnett.
- A higher percentage of married families is found in Sikeston at 36.0% compared to 24.0% in Arnett.
- The poverty level is higher in Arnett at 35%, compared to 16% in Sikeston.
- Arnett has a higher unemployment rate at 5.0% compared to 3.4% in Sikeston.
Demographics
Demographics Sikeston vs Arnett provide insight into the diversity of the communities to compare.
Demographic | Sikeston | Arnett |
---|---|---|
Black | 25 | Data is updating |
White | 65 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 3 | Data is updating |
Two or More Races | 7 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Sikeston vs Arnett
- A higher percentage of Black residents are in Sikeston at 25% compared to 0% in Arnett.
- The percentage of White residents is higher in Arnett at 100% compared to 65% in Sikeston.
- Both Sikeston and Arnett have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Sikeston at 3% compared to 0% in Arnett.
- More residents identify as two or more races in Sikeston at 7% compared to 0% in Arnett.
- The percentage of American Indian residents is the same in both Sikeston and Arnett at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sikeston | Arnett |
---|---|---|
Mental Health Not Good | 19.8% | Data is updating% |
Physical Health Not Good | 14.7% | Data is updating% |
Depression | 24.6% | Data is updating% |
Smoking | 23.9% | Data is updating% |
Binge Drinking | 15.8% | Data is updating% |
Obesity | 39.0% | Data is updating% |
Disability Percentage | 20.0% | Data is updating% |
Health Statistics Comparison: Sikeston vs Arnett
- More residents in Sikeston report poor mental health at 19.8% compared to 0.0% in Arnett.
- Depression is more prevalent in Sikeston at 24.6% compared to 0.0% in Arnett.
- Smoking is more prevalent in Sikeston at 23.9% compared to 0.0% in Arnett.
- Binge drinking is more common in Sikeston at 15.8% compared to 0.0% in Arnett.
- Obesity rates are higher in Sikeston at 39.0% compared to 0.0% in Arnett.
- Disability percentages are higher in Sikeston at 20.0% compared to 0.0% in Arnett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sikeston | Arnett |
---|---|---|
No Schooling | 0.5% (76) | 0.0% (Data is updating) |
High School Diploma | 23.0% (3,696) | 0.0% (Data is updating) |
Less than High School | 13.3% (2,142) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 16.3% (2,619) | 0.0% (Data is updating) |
Education Levels Comparison: Sikeston vs Arnett
- A higher percentage of residents in Sikeston have no formal schooling at 0.5% compared to 0.0% in Arnett.
- A higher percentage of residents in Sikeston hold a high school diploma at 23.0% compared to 0.0% in Arnett.
- More residents in Sikeston have less than a high school education at 13.3% compared to 0.0% in Arnett.
- A higher percentage of residents in Sikeston hold a bachelor's degree or higher at 16.3% compared to 0.0% in Arnett.
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.