Demographics details for Sikeston, MO vs Tucson, AZ
Population Overview
Compare main population characteristics in Sikeston, MO vs Tucson, AZ.
| Data | Sikeston | Tucson |
|---|---|---|
| Population | 16,073 | 546,574 |
| Median Age | 37.3 years | 33.9 years |
| Median Income | $47,464 | $52,049 |
| Married Families | 36.0% | 30.0% |
| Poverty Level | 16% | 13% |
| Unemployment Rate | 3.4 | 4.1 |
Population Comparison: Sikeston vs Tucson
- The population in Tucson is higher at 546,574, compared to 16,073 in Sikeston.
- Residents in Sikeston have a higher median age of 37.3 years compared to 33.9 years in Tucson.
- Tucson has a higher median income of $52,049, compared to $47,464 in Sikeston.
- A higher percentage of married families is found in Sikeston at 36.0% compared to 30.0% in Tucson.
- Sikeston has a higher poverty level at 16% compared to 13% in Tucson.
- Tucson has a higher unemployment rate at 4.1% compared to 3.4% in Sikeston.
Demographics
Demographics Sikeston vs Tucson provide insight into the diversity of the communities to compare.
| Demographic | Sikeston | Tucson |
|---|---|---|
| Black | 25 | 5 |
| White | 65 | 29 |
| Asian | Data is updating | 3 |
| Hispanic | 3 | 44 |
| Two or More Races | 7 | 16 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Sikeston vs Tucson
- A higher percentage of Black residents are in Sikeston at 25% compared to 5% in Tucson.
- Sikeston has a higher percentage of White residents at 65% compared to 29% in Tucson.
- In Tucson, the Asian population stands at 3%, greater than 0% in Sikeston.
- Tucson has a higher percentage of Hispanic residents at 44%, compared to 3% in Sikeston.
- The percentage of residents identifying as two or more races is higher in Tucson at 16%, compared to 7% in Sikeston.
- In Tucson, the percentage of American Indian residents is higher at 3%, compared to 0% in Sikeston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sikeston | Tucson |
|---|---|---|
| Mental Health Not Good | 19.8% | 18.6% |
| Physical Health Not Good | 14.7% | 13.1% |
| Depression | 24.6% | 23.6% |
| Smoking | 23.9% | 17.8% |
| Binge Drinking | 15.8% | 16.5% |
| Obesity | 39.0% | 34.9% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Sikeston vs Tucson
- More residents in Sikeston report poor mental health at 19.8% compared to 18.6% in Tucson.
- Depression is more prevalent in Sikeston at 24.6% compared to 23.6% in Tucson.
- Smoking is more prevalent in Sikeston at 23.9% compared to 17.8% in Tucson.
- More residents engage in binge drinking in Tucson at 16.5% compared to 15.8% in Sikeston.
- Obesity rates are higher in Sikeston at 39.0% compared to 34.9% in Tucson.
- Disability percentages are higher in Sikeston at 20.0% compared to 14.0% in Tucson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sikeston | Tucson |
|---|---|---|
| No Schooling | 0.5% (76) | 1.1% (5,757) |
| High School Diploma | 23.0% (3,696) | 11.4% (62,581) |
| Less than High School | 13.3% (2,142) | 16.0% (87,637) |
| Bachelor's Degree and Higher | 16.3% (2,619) | 18.6% (101,769) |
Education Levels Comparison: Sikeston vs Tucson
- In Tucson, a larger percentage of residents lack formal schooling at 1.1% compared to 0.5% in Sikeston.
- A higher percentage of residents in Sikeston hold a high school diploma at 23.0% compared to 11.4% in Tucson.
- The percentage of residents with less than a high school education is higher in Tucson at 16.0%, compared to 13.3% in Sikeston.
- In Tucson, a larger share of residents have a bachelor's degree or higher at 18.6% 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.