Demographics details for Martinsburg, WV vs Sallisaw, OK
Population Overview
Compare main population characteristics in Martinsburg, WV vs Sallisaw, OK.
Data | Martinsburg | Sallisaw |
---|---|---|
Population | 18,953 | 8,540 |
Median Age | 36.4 years | 35.1 years |
Median Income | $55,240 | $44,310 |
Married Families | 29.0% | 34.0% |
Poverty Level | 8% | 12% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Martinsburg vs Sallisaw
- In Martinsburg, the population is higher at 18,953, compared to 8,540 in Sallisaw.
- Residents in Martinsburg have a higher median age of 36.4 years compared to 35.1 years in Sallisaw.
- Martinsburg has a higher median income of $55,240 compared to $44,310 in Sallisaw.
- In Sallisaw, the percentage of married families is higher at 34.0%, compared to 29.0% in Martinsburg.
- The poverty level is higher in Sallisaw at 12%, compared to 8% in Martinsburg.
- The unemployment rate is the same in both Martinsburg and Sallisaw at 4.5%.
Demographics
Demographics Martinsburg vs Sallisaw provide insight into the diversity of the communities to compare.
Demographic | Martinsburg | Sallisaw |
---|---|---|
Black | 13 | 2 |
White | 69 | 59 |
Asian | 1 | Data is updating |
Hispanic | 6 | 8 |
Two or More Races | 11 | 13 |
American Indian | Data is updating | 18 |
Demographics Comparison: Martinsburg vs Sallisaw
- A higher percentage of Black residents are in Martinsburg at 13% compared to 2% in Sallisaw.
- Martinsburg has a higher percentage of White residents at 69% compared to 59% in Sallisaw.
- The Asian population is larger in Martinsburg at 1% compared to 0% in Sallisaw.
- Sallisaw has a higher percentage of Hispanic residents at 8%, compared to 6% in Martinsburg.
- The percentage of residents identifying as two or more races is higher in Sallisaw at 13%, compared to 11% in Martinsburg.
- In Sallisaw, the percentage of American Indian residents is higher at 18%, compared to 0% in Martinsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Martinsburg | Sallisaw |
---|---|---|
Mental Health Not Good | 21.8% | 22.7% |
Physical Health Not Good | 15.8% | 17.3% |
Depression | 27.7% | 28.5% |
Smoking | 24.7% | 28.1% |
Binge Drinking | 12.6% | 13.0% |
Obesity | 43.0% | 44.5% |
Disability Percentage | 17.0% | 22.0% |
Health Statistics Comparison: Martinsburg vs Sallisaw
- In Sallisaw, a higher percentage report poor mental health at 22.7% compared to 21.8% in Martinsburg.
- Higher depression rates are seen in Sallisaw at 28.5% versus 27.7% in Martinsburg.
- Sallisaw has a higher smoking rate at 28.1% compared to 24.7% in Martinsburg.
- More residents engage in binge drinking in Sallisaw at 13.0% compared to 12.6% in Martinsburg.
- Sallisaw has higher obesity rates at 44.5% compared to 43.0% in Martinsburg.
- There is a higher percentage of disabled individuals in Sallisaw at 22.0% compared to 17.0% in Martinsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Martinsburg | Sallisaw |
---|---|---|
No Schooling | 0.8% (144) | 1.2% (99) |
High School Diploma | 16.7% (3,171) | 14.8% (1,261) |
Less than High School | 13.5% (2,556) | 19.9% (1,701) |
Bachelor's Degree and Higher | 16.2% (3,077) | 10.4% (884) |
Education Levels Comparison: Martinsburg vs Sallisaw
- In Sallisaw, a larger percentage of residents lack formal schooling at 1.2% compared to 0.8% in Martinsburg.
- A higher percentage of residents in Martinsburg hold a high school diploma at 16.7% 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 13.5% in Martinsburg.
- A higher percentage of residents in Martinsburg hold a bachelor's degree or higher at 16.2% 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.