Demographics details for Woodbridge, VA vs Cushing, OK
Population Overview
Compare main population characteristics in Woodbridge, VA vs Cushing, OK.
| Data | Woodbridge | Cushing |
|---|---|---|
| Population | 42,619 | 8,345 |
| Median Age | 34.2 years | 35.8 years |
| Median Income | $93,347 | $46,602 |
| Married Families | 35.0% | 35.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Woodbridge vs Cushing
- In Woodbridge, the population is higher at 42,619, compared to 8,345 in Cushing.
- The median age in Cushing is higher at 35.8 years, compared to 34.2 years in Woodbridge.
- Woodbridge has a higher median income of $93,347 compared to $46,602 in Cushing.
- The percentage of married families is the same in both Woodbridge and Cushing at 35.0%.
- The poverty level is higher in Cushing at 13%, compared to 5% in Woodbridge.
- Cushing has a higher unemployment rate at 3.5% compared to 3.2% in Woodbridge.
Demographics
Demographics Woodbridge vs Cushing provide insight into the diversity of the communities to compare.
| Demographic | Woodbridge | Cushing |
|---|---|---|
| Black | 26 | 6 |
| White | 10 | 70 |
| Asian | 9 | Data is updating |
| Hispanic | 41 | 6 |
| Two or More Races | 13 | 9 |
| American Indian | 1 | 9 |
Demographics Comparison: Woodbridge vs Cushing
- A higher percentage of Black residents are in Woodbridge at 26% compared to 6% in Cushing.
- The percentage of White residents is higher in Cushing at 70% compared to 10% in Woodbridge.
- The Asian population is larger in Woodbridge at 9% compared to 0% in Cushing.
- The Hispanic community is larger in Woodbridge at 41% compared to 6% in Cushing.
- More residents identify as two or more races in Woodbridge at 13% compared to 9% in Cushing.
- In Cushing, the percentage of American Indian residents is higher at 9%, compared to 1% in Woodbridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodbridge | Cushing |
|---|---|---|
| Mental Health Not Good | 13.3% | 19.1% |
| Physical Health Not Good | 8.3% | 13.6% |
| Depression | 17.4% | 25.6% |
| Smoking | 10.7% | 22.3% |
| Binge Drinking | 16.3% | 15.0% |
| Obesity | 34.0% | 42.5% |
| Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Woodbridge vs Cushing
- In Cushing, a higher percentage report poor mental health at 19.1% compared to 13.3% in Woodbridge.
- Higher depression rates are seen in Cushing at 25.6% versus 17.4% in Woodbridge.
- Cushing has a higher smoking rate at 22.3% compared to 10.7% in Woodbridge.
- Binge drinking is more common in Woodbridge at 16.3% compared to 15.0% in Cushing.
- Cushing has higher obesity rates at 42.5% compared to 34.0% in Woodbridge.
- There is a higher percentage of disabled individuals in Cushing at 15.0% compared to 9.0% in Woodbridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodbridge | Cushing |
|---|---|---|
| No Schooling | 3.4% (1,450) | 0.5% (41) |
| High School Diploma | 15.8% (6,727) | 25.8% (2,152) |
| Less than High School | 17.5% (7,473) | 13.3% (1,108) |
| Bachelor's Degree and Higher | 20.2% (8,628) | 11.0% (918) |
Education Levels Comparison: Woodbridge vs Cushing
- A higher percentage of residents in Woodbridge have no formal schooling at 3.4% compared to 0.5% in Cushing.
- In Cushing, the rate of residents with high school diplomas is higher at 25.8% compared to 15.8% in Woodbridge.
- More residents in Woodbridge have less than a high school education at 17.5% compared to 13.3% in Cushing.
- A higher percentage of residents in Woodbridge hold a bachelor's degree or higher at 20.2% 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.