Demographics details for Benicia, CA vs Cushing, OK
Population Overview
Compare main population characteristics in Benicia, CA vs Cushing, OK.
| Data | Benicia | Cushing |
|---|---|---|
| Population | 26,567 | 8,345 |
| Median Age | 45.3 years | 35.8 years |
| Median Income | $124,375 | $46,602 |
| Married Families | 45.0% | 35.0% |
| Poverty Level | 4% | 13% |
| Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Benicia vs Cushing
- In Benicia, the population is higher at 26,567, compared to 8,345 in Cushing.
- Residents in Benicia have a higher median age of 45.3 years compared to 35.8 years in Cushing.
- Benicia has a higher median income of $124,375 compared to $46,602 in Cushing.
- A higher percentage of married families is found in Benicia at 45.0% compared to 35.0% in Cushing.
- The poverty level is higher in Cushing at 13%, compared to 4% in Benicia.
- The unemployment rate in Benicia is higher at 4.3%, compared to 3.5% in Cushing.
Demographics
Demographics Benicia vs Cushing provide insight into the diversity of the communities to compare.
| Demographic | Benicia | Cushing |
|---|---|---|
| Black | 4 | 6 |
| White | 56 | 70 |
| Asian | 12 | Data is updating |
| Hispanic | 15 | 6 |
| Two or More Races | 13 | 9 |
| American Indian | Data is updating | 9 |
Demographics Comparison: Benicia vs Cushing
- In Cushing, the percentage of Black residents is higher at 6% compared to 4% in Benicia.
- The percentage of White residents is higher in Cushing at 70% compared to 56% in Benicia.
- The Asian population is larger in Benicia at 12% compared to 0% in Cushing.
- The Hispanic community is larger in Benicia at 15% compared to 6% in Cushing.
- More residents identify as two or more races in Benicia at 13% compared to 9% in Cushing.
- In Cushing, the percentage of American Indian residents is higher at 9%, compared to 0% in Benicia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Benicia | Cushing |
|---|---|---|
| Mental Health Not Good | 14.6% | 19.1% |
| Physical Health Not Good | 8.8% | 13.6% |
| Depression | 18.7% | 25.6% |
| Smoking | 9.4% | 22.3% |
| Binge Drinking | 17.7% | 15.0% |
| Obesity | 27.1% | 42.5% |
| Disability Percentage | 10.0% | 15.0% |
Health Statistics Comparison: Benicia vs Cushing
- In Cushing, a higher percentage report poor mental health at 19.1% compared to 14.6% in Benicia.
- Higher depression rates are seen in Cushing at 25.6% versus 18.7% in Benicia.
- Cushing has a higher smoking rate at 22.3% compared to 9.4% in Benicia.
- Binge drinking is more common in Benicia at 17.7% compared to 15.0% in Cushing.
- Cushing has higher obesity rates at 42.5% compared to 27.1% in Benicia.
- There is a higher percentage of disabled individuals in Cushing at 15.0% compared to 10.0% in Benicia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Benicia | Cushing |
|---|---|---|
| No Schooling | 0.7% (197) | 0.5% (41) |
| High School Diploma | 10.8% (2,877) | 25.8% (2,152) |
| Less than High School | 5.8% (1,542) | 13.3% (1,108) |
| Bachelor's Degree and Higher | 34.3% (9,125) | 11.0% (918) |
Education Levels Comparison: Benicia vs Cushing
- A higher percentage of residents in Benicia have no formal schooling at 0.7% compared to 0.5% in Cushing.
- In Cushing, the rate of residents with high school diplomas is higher at 25.8% compared to 10.8% in Benicia.
- The percentage of residents with less than a high school education is higher in Cushing at 13.3%, compared to 5.8% in Benicia.
- A higher percentage of residents in Benicia hold a bachelor's degree or higher at 34.3% 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.