Demographics details for Cushing, OK vs Beckley, WV
Population Overview
Compare main population characteristics in Cushing, OK vs Beckley, WV.
| Data | Cushing | Beckley |
|---|---|---|
| Population | 8,345 | 16,749 |
| Median Age | 35.8 years | 40.7 years |
| Median Income | $46,602 | $41,277 |
| Married Families | 35.0% | 32.0% |
| Poverty Level | 13% | 18% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Cushing vs Beckley
- The population in Beckley is higher at 16,749, compared to 8,345 in Cushing.
- The median age in Beckley is higher at 40.7 years, compared to 35.8 years in Cushing.
- Cushing has a higher median income of $46,602 compared to $41,277 in Beckley.
- A higher percentage of married families is found in Cushing at 35.0% compared to 32.0% in Beckley.
- The poverty level is higher in Beckley at 18%, compared to 13% in Cushing.
- The unemployment rate is the same in both Cushing and Beckley at 3.5%.
Demographics
Demographics Cushing vs Beckley provide insight into the diversity of the communities to compare.
| Demographic | Cushing | Beckley |
|---|---|---|
| Black | 6 | 18 |
| White | 70 | 71 |
| Asian | Data is updating | 2 |
| Hispanic | 6 | 2 |
| Two or More Races | 9 | 7 |
| American Indian | 9 | Data is updating |
Demographics Comparison: Cushing vs Beckley
- In Beckley, the percentage of Black residents is higher at 18% compared to 6% in Cushing.
- The percentage of White residents is higher in Beckley at 71% compared to 70% in Cushing.
- In Beckley, the Asian population stands at 2%, greater than 0% in Cushing.
- The Hispanic community is larger in Cushing at 6% compared to 2% in Beckley.
- More residents identify as two or more races in Cushing at 9% compared to 7% in Beckley.
- A greater percentage of American Indian residents live in Cushing at 9% compared to 0% in Beckley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cushing | Beckley |
|---|---|---|
| Mental Health Not Good | 19.1% | 21.5% |
| Physical Health Not Good | 13.6% | 15.9% |
| Depression | 25.6% | 27.5% |
| Smoking | 22.3% | 24.2% |
| Binge Drinking | 15.0% | 11.9% |
| Obesity | 42.5% | 41.4% |
| Disability Percentage | 15.0% | 26.0% |
Health Statistics Comparison: Cushing vs Beckley
- In Beckley, a higher percentage report poor mental health at 21.5% compared to 19.1% in Cushing.
- Higher depression rates are seen in Beckley at 27.5% versus 25.6% in Cushing.
- Beckley has a higher smoking rate at 24.2% compared to 22.3% in Cushing.
- Binge drinking is more common in Cushing at 15.0% compared to 11.9% in Beckley.
- Obesity rates are higher in Cushing at 42.5% compared to 41.4% in Beckley.
- There is a higher percentage of disabled individuals in Beckley at 26.0% compared to 15.0% in Cushing.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cushing | Beckley |
|---|---|---|
| No Schooling | 0.5% (41) | 1.0% (166) |
| High School Diploma | 25.8% (2,152) | 19.1% (3,193) |
| Less than High School | 13.3% (1,108) | 13.5% (2,268) |
| Bachelor's Degree and Higher | 11.0% (918) | 16.4% (2,745) |
Education Levels Comparison: Cushing vs Beckley
- In Beckley, a larger percentage of residents lack formal schooling at 1.0% compared to 0.5% in Cushing.
- A higher percentage of residents in Cushing hold a high school diploma at 25.8% compared to 19.1% in Beckley.
- The percentage of residents with less than a high school education is higher in Beckley at 13.5%, compared to 13.3% in Cushing.
- In Beckley, a larger share of residents have a bachelor's degree or higher at 16.4% 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.