Demographics details for Stuttgart, AR vs Sallisaw, OK
Population Overview
Compare main population characteristics in Stuttgart, AR vs Sallisaw, OK.
| Data | Stuttgart | Sallisaw |
|---|---|---|
| Population | 7,907 | 8,540 |
| Median Age | 37.8 years | 35.1 years |
| Median Income | $59,124 | $44,310 |
| Married Families | 39.0% | 34.0% |
| Poverty Level | 18% | 12% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Stuttgart vs Sallisaw
- The population in Sallisaw is higher at 8,540, compared to 7,907 in Stuttgart.
- Residents in Stuttgart have a higher median age of 37.8 years compared to 35.1 years in Sallisaw.
- Stuttgart has a higher median income of $59,124 compared to $44,310 in Sallisaw.
- A higher percentage of married families is found in Stuttgart at 39.0% compared to 34.0% in Sallisaw.
- Stuttgart has a higher poverty level at 18% compared to 12% in Sallisaw.
- Sallisaw has a higher unemployment rate at 4.5% compared to 4.2% in Stuttgart.
Demographics
Demographics Stuttgart vs Sallisaw provide insight into the diversity of the communities to compare.
| Demographic | Stuttgart | Sallisaw |
|---|---|---|
| Black | 42 | 2 |
| White | 53 | 59 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 8 |
| Two or More Races | 3 | 13 |
| American Indian | Data is updating | 18 |
Demographics Comparison: Stuttgart vs Sallisaw
- A higher percentage of Black residents are in Stuttgart at 42% compared to 2% in Sallisaw.
- The percentage of White residents is higher in Sallisaw at 59% compared to 53% in Stuttgart.
- Both Stuttgart and Sallisaw have the same percentage of Asian residents at 0%.
- Sallisaw has a higher percentage of Hispanic residents at 8%, compared to 2% in Stuttgart.
- The percentage of residents identifying as two or more races is higher in Sallisaw at 13%, compared to 3% in Stuttgart.
- In Sallisaw, the percentage of American Indian residents is higher at 18%, compared to 0% in Stuttgart.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Stuttgart | Sallisaw |
|---|---|---|
| Mental Health Not Good | 19.8% | 22.7% |
| Physical Health Not Good | 14.6% | 17.3% |
| Depression | 24.4% | 28.5% |
| Smoking | 23.1% | 28.1% |
| Binge Drinking | 13.6% | 13.0% |
| Obesity | 39.7% | 44.5% |
| Disability Percentage | 20.0% | 22.0% |
Health Statistics Comparison: Stuttgart vs Sallisaw
- In Sallisaw, a higher percentage report poor mental health at 22.7% compared to 19.8% in Stuttgart.
- Higher depression rates are seen in Sallisaw at 28.5% versus 24.4% in Stuttgart.
- Sallisaw has a higher smoking rate at 28.1% compared to 23.1% in Stuttgart.
- Binge drinking is more common in Stuttgart at 13.6% compared to 13.0% in Sallisaw.
- Sallisaw has higher obesity rates at 44.5% compared to 39.7% in Stuttgart.
- There is a higher percentage of disabled individuals in Sallisaw at 22.0% compared to 20.0% in Stuttgart.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Stuttgart | Sallisaw |
|---|---|---|
| No Schooling | 0.8% (63) | 1.2% (99) |
| High School Diploma | 25.5% (2,015) | 14.8% (1,261) |
| Less than High School | 14.5% (1,144) | 19.9% (1,701) |
| Bachelor's Degree and Higher | 12.0% (948) | 10.4% (884) |
Education Levels Comparison: Stuttgart vs Sallisaw
- In Sallisaw, a larger percentage of residents lack formal schooling at 1.2% compared to 0.8% in Stuttgart.
- A higher percentage of residents in Stuttgart hold a high school diploma at 25.5% compared to 14.8% in Sallisaw.
- The percentage of residents with less than a high school education is higher in Sallisaw at 19.9%, compared to 14.5% in Stuttgart.
- A higher percentage of residents in Stuttgart hold a bachelor's degree or higher at 12.0% compared to 10.4% in Sallisaw.
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.