Demographics details for Cushing, OK vs Columbus, MS
Population Overview
Compare main population characteristics in Cushing, OK vs Columbus, MS.
| Data | Cushing | Columbus |
|---|---|---|
| Population | 8,345 | 23,273 |
| Median Age | 35.8 years | 38.5 years |
| Median Income | $46,602 | $38,954 |
| Married Families | 35.0% | 25.0% |
| Poverty Level | 13% | 19% |
| Unemployment Rate | 3.5 | 3.8 |
Population Comparison: Cushing vs Columbus
- The population in Columbus is higher at 23,273, compared to 8,345 in Cushing.
- The median age in Columbus is higher at 38.5 years, compared to 35.8 years in Cushing.
- Cushing has a higher median income of $46,602 compared to $38,954 in Columbus.
- A higher percentage of married families is found in Cushing at 35.0% compared to 25.0% in Columbus.
- The poverty level is higher in Columbus at 19%, compared to 13% in Cushing.
- Columbus has a higher unemployment rate at 3.8% compared to 3.5% in Cushing.
Demographics
Demographics Cushing vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Cushing | Columbus |
|---|---|---|
| Black | 6 | 66 |
| White | 70 | 28 |
| Asian | Data is updating | 2 |
| Hispanic | 6 | 2 |
| Two or More Races | 9 | 2 |
| American Indian | 9 | Data is updating |
Demographics Comparison: Cushing vs Columbus
- In Columbus, the percentage of Black residents is higher at 66% compared to 6% in Cushing.
- Cushing has a higher percentage of White residents at 70% compared to 28% in Columbus.
- In Columbus, the Asian population stands at 2%, greater than 0% in Cushing.
- The Hispanic community is larger in Cushing at 6% compared to 2% in Columbus.
- More residents identify as two or more races in Cushing at 9% compared to 2% in Columbus.
- A greater percentage of American Indian residents live in Cushing at 9% compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cushing | Columbus |
|---|---|---|
| Mental Health Not Good | 19.1% | 17.4% |
| Physical Health Not Good | 13.6% | 13.6% |
| Depression | 25.6% | 20.0% |
| Smoking | 22.3% | 21.0% |
| Binge Drinking | 15.0% | 11.8% |
| Obesity | 42.5% | 44.8% |
| Disability Percentage | 15.0% | 12.0% |
Health Statistics Comparison: Cushing vs Columbus
- More residents in Cushing report poor mental health at 19.1% compared to 17.4% in Columbus.
- Depression is more prevalent in Cushing at 25.6% compared to 20.0% in Columbus.
- Smoking is more prevalent in Cushing at 22.3% compared to 21.0% in Columbus.
- Binge drinking is more common in Cushing at 15.0% compared to 11.8% in Columbus.
- Columbus has higher obesity rates at 44.8% compared to 42.5% in Cushing.
- Disability percentages are higher in Cushing at 15.0% compared to 12.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cushing | Columbus |
|---|---|---|
| No Schooling | 0.5% (41) | 1.1% (260) |
| High School Diploma | 25.8% (2,152) | 18.4% (4,272) |
| Less than High School | 13.3% (1,108) | 11.0% (2,559) |
| Bachelor's Degree and Higher | 11.0% (918) | 17.1% (3,971) |
Education Levels Comparison: Cushing vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.1% compared to 0.5% in Cushing.
- A higher percentage of residents in Cushing hold a high school diploma at 25.8% compared to 18.4% in Columbus.
- More residents in Cushing have less than a high school education at 13.3% compared to 11.0% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 11.0% in Cushing.
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.