Demographics details for Cushing, OK vs San marcos, CA
Population Overview
Compare main population characteristics in Cushing, OK vs San marcos, CA.
| Data | Cushing | San marcos |
|---|---|---|
| Population | 8,345 | 94,854 |
| Median Age | 35.8 years | 35.9 years |
| Median Income | $46,602 | $99,413 |
| Married Families | 35.0% | 41.0% |
| Poverty Level | 13% | 9% |
| Unemployment Rate | 3.5 | 4.7 |
Population Comparison: Cushing vs San marcos
- The population in San marcos is higher at 94,854, compared to 8,345 in Cushing.
- The median age in San marcos is higher at 35.9 years, compared to 35.8 years in Cushing.
- San marcos has a higher median income of $99,413, compared to $46,602 in Cushing.
- In San marcos, the percentage of married families is higher at 41.0%, compared to 35.0% in Cushing.
- Cushing has a higher poverty level at 13% compared to 9% in San marcos.
- San marcos has a higher unemployment rate at 4.7% compared to 3.5% in Cushing.
Demographics
Demographics Cushing vs San marcos provide insight into the diversity of the communities to compare.
| Demographic | Cushing | San marcos |
|---|---|---|
| Black | 6 | 2 |
| White | 70 | 31 |
| Asian | Data is updating | 10 |
| Hispanic | 6 | 40 |
| Two or More Races | 9 | 16 |
| American Indian | 9 | 1 |
Demographics Comparison: Cushing vs San marcos
- A higher percentage of Black residents are in Cushing at 6% compared to 2% in San marcos.
- Cushing has a higher percentage of White residents at 70% compared to 31% in San marcos.
- In San marcos, the Asian population stands at 10%, greater than 0% in Cushing.
- San marcos has a higher percentage of Hispanic residents at 40%, compared to 6% in Cushing.
- The percentage of residents identifying as two or more races is higher in San marcos at 16%, compared to 9% in Cushing.
- A greater percentage of American Indian residents live in Cushing at 9% compared to 1% in San marcos.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cushing | San marcos |
|---|---|---|
| Mental Health Not Good | 19.1% | 15.9% |
| Physical Health Not Good | 13.6% | 10.8% |
| Depression | 25.6% | 17.8% |
| Smoking | 22.3% | 11.2% |
| Binge Drinking | 15.0% | 18.6% |
| Obesity | 42.5% | 24.2% |
| Disability Percentage | 15.0% | 9.0% |
Health Statistics Comparison: Cushing vs San marcos
- More residents in Cushing report poor mental health at 19.1% compared to 15.9% in San marcos.
- Depression is more prevalent in Cushing at 25.6% compared to 17.8% in San marcos.
- Smoking is more prevalent in Cushing at 22.3% compared to 11.2% in San marcos.
- More residents engage in binge drinking in San marcos at 18.6% compared to 15.0% in Cushing.
- Obesity rates are higher in Cushing at 42.5% compared to 24.2% in San marcos.
- Disability percentages are higher in Cushing at 15.0% compared to 9.0% in San marcos.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cushing | San marcos |
|---|---|---|
| No Schooling | 0.5% (41) | 1.8% (1,684) |
| High School Diploma | 25.8% (2,152) | 10.1% (9,567) |
| Less than High School | 13.3% (1,108) | 15.0% (14,213) |
| Bachelor's Degree and Higher | 11.0% (918) | 26.4% (25,049) |
Education Levels Comparison: Cushing vs San marcos
- In San marcos, a larger percentage of residents lack formal schooling at 1.8% compared to 0.5% in Cushing.
- A higher percentage of residents in Cushing hold a high school diploma at 25.8% compared to 10.1% in San marcos.
- The percentage of residents with less than a high school education is higher in San marcos at 15.0%, compared to 13.3% in Cushing.
- In San marcos, a larger share of residents have a bachelor's degree or higher at 26.4% 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.