Demographics details for Cushing, OK vs Richmond, CA
Population Overview
Compare main population characteristics in Cushing, OK vs Richmond, CA.
| Data | Cushing | Richmond |
|---|---|---|
| Population | 8,345 | 216,288 |
| Median Age | 35.8 years | 36.0 years |
| Median Income | $46,602 | $73,000 |
| Married Families | 35.0% | 40000.0% |
| Poverty Level | 13% | Data is updating |
| Unemployment Rate | 3.5 | 0.08 |
Population Comparison: Cushing vs Richmond
- The population in Richmond is higher at 216,288, compared to 8,345 in Cushing.
- The median age in Richmond is higher at 36.0 years, compared to 35.8 years in Cushing.
- Richmond has a higher median income of $73,000, compared to $46,602 in Cushing.
- In Richmond, the percentage of married families is higher at 40000.0%, compared to 35.0% in Cushing.
- Cushing has a higher poverty level at 13% compared to 0% in Richmond.
- The unemployment rate in Cushing is higher at 3.5%, compared to 0.08% in Richmond.
Demographics
Demographics Cushing vs Richmond provide insight into the diversity of the communities to compare.
| Demographic | Cushing | Richmond |
|---|---|---|
| Black | 6 | 30 |
| White | 70 | 36 |
| Asian | Data is updating | 14 |
| Hispanic | 6 | 20 |
| Two or More Races | 9 | 5 |
| American Indian | 9 | Data is updating |
Demographics Comparison: Cushing vs Richmond
- In Richmond, the percentage of Black residents is higher at 30% compared to 6% in Cushing.
- Cushing has a higher percentage of White residents at 70% compared to 36% in Richmond.
- In Richmond, the Asian population stands at 14%, greater than 0% in Cushing.
- Richmond has a higher percentage of Hispanic residents at 20%, compared to 6% in Cushing.
- More residents identify as two or more races in Cushing at 9% compared to 5% in Richmond.
- A greater percentage of American Indian residents live in Cushing at 9% compared to 0% in Richmond.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cushing | Richmond |
|---|---|---|
| Mental Health Not Good | 19.1% | Data is updating% |
| Physical Health Not Good | 13.6% | Data is updating% |
| Depression | 25.6% | Data is updating% |
| Smoking | 22.3% | Data is updating% |
| Binge Drinking | 15.0% | Data is updating% |
| Obesity | 42.5% | Data is updating% |
| Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Cushing vs Richmond
- More residents in Cushing report poor mental health at 19.1% compared to 0.0% in Richmond.
- Depression is more prevalent in Cushing at 25.6% compared to 0.0% in Richmond.
- Smoking is more prevalent in Cushing at 22.3% compared to 0.0% in Richmond.
- Binge drinking is more common in Cushing at 15.0% compared to 0.0% in Richmond.
- Obesity rates are higher in Cushing at 42.5% compared to 0.0% in Richmond.
- Disability percentages are higher in Cushing at 15.0% compared to 0.0% in Richmond.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cushing | Richmond |
|---|---|---|
| No Schooling | 0.5% (41) | 0.0% (Data is updating) |
| High School Diploma | 25.8% (2,152) | 0.0% (Data is updating) |
| Less than High School | 13.3% (1,108) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 11.0% (918) | 0.0% (Data is updating) |
Education Levels Comparison: Cushing vs Richmond
- A higher percentage of residents in Cushing have no formal schooling at 0.5% compared to 0.0% in Richmond.
- A higher percentage of residents in Cushing hold a high school diploma at 25.8% compared to 0.0% in Richmond.
- More residents in Cushing have less than a high school education at 13.3% compared to 0.0% in Richmond.
- A higher percentage of residents in Cushing hold a bachelor's degree or higher at 11.0% compared to 0.0% in Richmond.
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.