Demographics details for Sallisaw, OK vs Columbia, MO
Population Overview
Compare main population characteristics in Sallisaw, OK vs Columbia, MO.
| Data | Sallisaw | Columbia |
|---|---|---|
| Population | 8,540 | 128,555 |
| Median Age | 35.1 years | 28.8 years |
| Median Income | $44,310 | $60,455 |
| Married Families | 34.0% | 32.0% |
| Poverty Level | 12% | 19% |
| Unemployment Rate | 4.5 | 3.8 |
Population Comparison: Sallisaw vs Columbia
- The population in Columbia is higher at 128,555, compared to 8,540 in Sallisaw.
- Residents in Sallisaw have a higher median age of 35.1 years compared to 28.8 years in Columbia.
- Columbia has a higher median income of $60,455, compared to $44,310 in Sallisaw.
- A higher percentage of married families is found in Sallisaw at 34.0% compared to 32.0% in Columbia.
- The poverty level is higher in Columbia at 19%, compared to 12% in Sallisaw.
- The unemployment rate in Sallisaw is higher at 4.5%, compared to 3.8% in Columbia.
Demographics
Demographics Sallisaw vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Sallisaw | Columbia |
|---|---|---|
| Black | 2 | 11 |
| White | 59 | 73 |
| Asian | Data is updating | 6 |
| Hispanic | 8 | 4 |
| Two or More Races | 13 | 6 |
| American Indian | 18 | Data is updating |
Demographics Comparison: Sallisaw vs Columbia
- In Columbia, the percentage of Black residents is higher at 11% compared to 2% in Sallisaw.
- The percentage of White residents is higher in Columbia at 73% compared to 59% in Sallisaw.
- In Columbia, the Asian population stands at 6%, greater than 0% in Sallisaw.
- The Hispanic community is larger in Sallisaw at 8% compared to 4% in Columbia.
- More residents identify as two or more races in Sallisaw at 13% compared to 6% in Columbia.
- A greater percentage of American Indian residents live in Sallisaw at 18% compared to 0% in Columbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sallisaw | Columbia |
|---|---|---|
| Mental Health Not Good | 22.7% | 16.7% |
| Physical Health Not Good | 17.3% | 11.4% |
| Depression | 28.5% | 25.3% |
| Smoking | 28.1% | 16.3% |
| Binge Drinking | 13.0% | 17.7% |
| Obesity | 44.5% | 33.5% |
| Disability Percentage | 22.0% | 11.0% |
Health Statistics Comparison: Sallisaw vs Columbia
- More residents in Sallisaw report poor mental health at 22.7% compared to 16.7% in Columbia.
- Depression is more prevalent in Sallisaw at 28.5% compared to 25.3% in Columbia.
- Smoking is more prevalent in Sallisaw at 28.1% compared to 16.3% in Columbia.
- More residents engage in binge drinking in Columbia at 17.7% compared to 13.0% in Sallisaw.
- Obesity rates are higher in Sallisaw at 44.5% compared to 33.5% in Columbia.
- Disability percentages are higher in Sallisaw at 22.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sallisaw | Columbia |
|---|---|---|
| No Schooling | 1.2% (99) | 0.7% (845) |
| High School Diploma | 14.8% (1,261) | 7.8% (9,965) |
| Less than High School | 19.9% (1,701) | 4.2% (5,383) |
| Bachelor's Degree and Higher | 10.4% (884) | 30.5% (39,270) |
Education Levels Comparison: Sallisaw vs Columbia
- A higher percentage of residents in Sallisaw have no formal schooling at 1.2% compared to 0.7% in Columbia.
- A higher percentage of residents in Sallisaw hold a high school diploma at 14.8% compared to 7.8% in Columbia.
- More residents in Sallisaw have less than a high school education at 19.9% compared to 4.2% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 30.5% 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.