Demographics details for Cushing, OK vs Beverly hills, CA
Population Overview
Compare main population characteristics in Cushing, OK vs Beverly hills, CA.
Data | Cushing | Beverly hills |
---|---|---|
Population | 8,345 | 31,326 |
Median Age | 35.8 years | 47.5 years |
Median Income | $46,602 | $116,771 |
Married Families | 35.0% | 44.0% |
Poverty Level | 13% | 8% |
Unemployment Rate | 3.5 | 4.9 |
Population Comparison: Cushing vs Beverly hills
- The population in Beverly hills is higher at 31,326, compared to 8,345 in Cushing.
- The median age in Beverly hills is higher at 47.5 years, compared to 35.8 years in Cushing.
- Beverly hills has a higher median income of $116,771, compared to $46,602 in Cushing.
- In Beverly hills, the percentage of married families is higher at 44.0%, compared to 35.0% in Cushing.
- Cushing has a higher poverty level at 13% compared to 8% in Beverly hills.
- Beverly hills has a higher unemployment rate at 4.9% compared to 3.5% in Cushing.
Demographics
Demographics Cushing vs Beverly hills provide insight into the diversity of the communities to compare.
Demographic | Cushing | Beverly hills |
---|---|---|
Black | 6 | 2 |
White | 70 | 71 |
Asian | Data is updating | 13 |
Hispanic | 6 | 7 |
Two or More Races | 9 | 7 |
American Indian | 9 | Data is updating |
Demographics Comparison: Cushing vs Beverly hills
- A higher percentage of Black residents are in Cushing at 6% compared to 2% in Beverly hills.
- The percentage of White residents is higher in Beverly hills at 71% compared to 70% in Cushing.
- In Beverly hills, the Asian population stands at 13%, greater than 0% in Cushing.
- Beverly hills has a higher percentage of Hispanic residents at 7%, compared to 6% in Cushing.
- More residents identify as two or more races in Cushing at 9% compared to 7% in Beverly hills.
- A greater percentage of American Indian residents live in Cushing at 9% compared to 0% in Beverly hills.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cushing | Beverly hills |
---|---|---|
Mental Health Not Good | 19.1% | 14.0% |
Physical Health Not Good | 13.6% | 8.2% |
Depression | 25.6% | 17.5% |
Smoking | 22.3% | 7.9% |
Binge Drinking | 15.0% | 17.2% |
Obesity | 42.5% | 23.7% |
Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Cushing vs Beverly hills
- More residents in Cushing report poor mental health at 19.1% compared to 14.0% in Beverly hills.
- Depression is more prevalent in Cushing at 25.6% compared to 17.5% in Beverly hills.
- Smoking is more prevalent in Cushing at 22.3% compared to 7.9% in Beverly hills.
- More residents engage in binge drinking in Beverly hills at 17.2% compared to 15.0% in Cushing.
- Obesity rates are higher in Cushing at 42.5% compared to 23.7% in Beverly hills.
- Disability percentages are higher in Cushing at 15.0% compared to 10.0% in Beverly hills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cushing | Beverly hills |
---|---|---|
No Schooling | 0.5% (41) | 0.8% (258) |
High School Diploma | 25.8% (2,152) | 8.2% (2,574) |
Less than High School | 13.3% (1,108) | 5.1% (1,601) |
Bachelor's Degree and Higher | 11.0% (918) | 52.0% (16,274) |
Education Levels Comparison: Cushing vs Beverly hills
- In Beverly hills, a larger percentage of residents lack formal schooling at 0.8% compared to 0.5% in Cushing.
- A higher percentage of residents in Cushing hold a high school diploma at 25.8% compared to 8.2% in Beverly hills.
- More residents in Cushing have less than a high school education at 13.3% compared to 5.1% in Beverly hills.
- In Beverly hills, a larger share of residents have a bachelor's degree or higher at 52.0% 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.