Demographics details for Sallisaw, OK vs Jefferson city, MO
Population Overview
Compare main population characteristics in Sallisaw, OK vs Jefferson city, MO.
Data | Sallisaw | Jefferson city |
---|---|---|
Population | 8,540 | 42,528 |
Median Age | 35.1 years | 38.5 years |
Median Income | $44,310 | $63,649 |
Married Families | 34.0% | 37.0% |
Poverty Level | 12% | 11% |
Unemployment Rate | 4.5 | 3.9 |
Population Comparison: Sallisaw vs Jefferson city
- The population in Jefferson city is higher at 42,528, compared to 8,540 in Sallisaw.
- The median age in Jefferson city is higher at 38.5 years, compared to 35.1 years in Sallisaw.
- Jefferson city has a higher median income of $63,649, compared to $44,310 in Sallisaw.
- In Jefferson city, the percentage of married families is higher at 37.0%, compared to 34.0% in Sallisaw.
- Sallisaw has a higher poverty level at 12% compared to 11% in Jefferson city.
- The unemployment rate in Sallisaw is higher at 4.5%, compared to 3.9% in Jefferson city.
Demographics
Demographics Sallisaw vs Jefferson city provide insight into the diversity of the communities to compare.
Demographic | Sallisaw | Jefferson city |
---|---|---|
Black | 2 | 18 |
White | 59 | 72 |
Asian | Data is updating | 3 |
Hispanic | 8 | 3 |
Two or More Races | 13 | 4 |
American Indian | 18 | Data is updating |
Demographics Comparison: Sallisaw vs Jefferson city
- In Jefferson city, the percentage of Black residents is higher at 18% compared to 2% in Sallisaw.
- The percentage of White residents is higher in Jefferson city at 72% compared to 59% in Sallisaw.
- In Jefferson city, the Asian population stands at 3%, greater than 0% in Sallisaw.
- The Hispanic community is larger in Sallisaw at 8% compared to 3% in Jefferson city.
- More residents identify as two or more races in Sallisaw at 13% compared to 4% in Jefferson city.
- A greater percentage of American Indian residents live in Sallisaw at 18% compared to 0% in Jefferson city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sallisaw | Jefferson city |
---|---|---|
Mental Health Not Good | 22.7% | 17.1% |
Physical Health Not Good | 17.3% | 11.6% |
Depression | 28.5% | 22.6% |
Smoking | 28.1% | 18.6% |
Binge Drinking | 13.0% | 16.9% |
Obesity | 44.5% | 37.4% |
Disability Percentage | 22.0% | 11.0% |
Health Statistics Comparison: Sallisaw vs Jefferson city
- More residents in Sallisaw report poor mental health at 22.7% compared to 17.1% in Jefferson city.
- Depression is more prevalent in Sallisaw at 28.5% compared to 22.6% in Jefferson city.
- Smoking is more prevalent in Sallisaw at 28.1% compared to 18.6% in Jefferson city.
- More residents engage in binge drinking in Jefferson city at 16.9% compared to 13.0% in Sallisaw.
- Obesity rates are higher in Sallisaw at 44.5% compared to 37.4% in Jefferson city.
- Disability percentages are higher in Sallisaw at 22.0% compared to 11.0% in Jefferson city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sallisaw | Jefferson city |
---|---|---|
No Schooling | 1.2% (99) | 0.5% (233) |
High School Diploma | 14.8% (1,261) | 15.9% (6,767) |
Less than High School | 19.9% (1,701) | 11.0% (4,659) |
Bachelor's Degree and Higher | 10.4% (884) | 24.8% (10,543) |
Education Levels Comparison: Sallisaw vs Jefferson city
- A higher percentage of residents in Sallisaw have no formal schooling at 1.2% compared to 0.5% in Jefferson city.
- In Jefferson city, the rate of residents with high school diplomas is higher at 15.9% compared to 14.8% in Sallisaw.
- More residents in Sallisaw have less than a high school education at 19.9% compared to 11.0% in Jefferson city.
- In Jefferson city, a larger share of residents have a bachelor's degree or higher at 24.8% 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.