Demographics details for Severna park, MD vs Cushing, OK
Population Overview
Compare main population characteristics in Severna park, MD vs Cushing, OK.
Data | Severna park | Cushing |
---|---|---|
Population | 40,452 | 8,345 |
Median Age | 41.5 years | 35.8 years |
Median Income | $164,288 | $46,602 |
Married Families | 48.0% | 35.0% |
Poverty Level | 3% | 13% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Severna park vs Cushing
- In Severna park, the population is higher at 40,452, compared to 8,345 in Cushing.
- Residents in Severna park have a higher median age of 41.5 years compared to 35.8 years in Cushing.
- Severna park has a higher median income of $164,288 compared to $46,602 in Cushing.
- A higher percentage of married families is found in Severna park at 48.0% compared to 35.0% in Cushing.
- The poverty level is higher in Cushing at 13%, compared to 3% in Severna park.
- Cushing has a higher unemployment rate at 3.5% compared to 3.2% in Severna park.
Demographics
Demographics Severna park vs Cushing provide insight into the diversity of the communities to compare.
Demographic | Severna park | Cushing |
---|---|---|
Black | 3 | 6 |
White | 86 | 70 |
Asian | 3 | Data is updating |
Hispanic | 3 | 6 |
Two or More Races | 5 | 9 |
American Indian | Data is updating | 9 |
Demographics Comparison: Severna park vs Cushing
- In Cushing, the percentage of Black residents is higher at 6% compared to 3% in Severna park.
- Severna park has a higher percentage of White residents at 86% compared to 70% in Cushing.
- The Asian population is larger in Severna park at 3% compared to 0% in Cushing.
- Cushing has a higher percentage of Hispanic residents at 6%, compared to 3% in Severna park.
- The percentage of residents identifying as two or more races is higher in Cushing at 9%, compared to 5% in Severna park.
- In Cushing, the percentage of American Indian residents is higher at 9%, compared to 0% in Severna park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Severna park | Cushing |
---|---|---|
Mental Health Not Good | 13.1% | 19.1% |
Physical Health Not Good | 7.3% | 13.6% |
Depression | 19.9% | 25.6% |
Smoking | 9.0% | 22.3% |
Binge Drinking | 18.4% | 15.0% |
Obesity | 31.9% | 42.5% |
Disability Percentage | 8.0% | 15.0% |
Health Statistics Comparison: Severna park vs Cushing
- In Cushing, a higher percentage report poor mental health at 19.1% compared to 13.1% in Severna park.
- Higher depression rates are seen in Cushing at 25.6% versus 19.9% in Severna park.
- Cushing has a higher smoking rate at 22.3% compared to 9.0% in Severna park.
- Binge drinking is more common in Severna park at 18.4% compared to 15.0% in Cushing.
- Cushing has higher obesity rates at 42.5% compared to 31.9% in Severna park.
- There is a higher percentage of disabled individuals in Cushing at 15.0% compared to 8.0% in Severna park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Severna park | Cushing |
---|---|---|
No Schooling | 0.4% (145) | 0.5% (41) |
High School Diploma | 10.9% (4,392) | 25.8% (2,152) |
Less than High School | 4.3% (1,731) | 13.3% (1,108) |
Bachelor's Degree and Higher | 38.1% (15,411) | 11.0% (918) |
Education Levels Comparison: Severna park vs Cushing
- In Cushing, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Severna park.
- In Cushing, the rate of residents with high school diplomas is higher at 25.8% compared to 10.9% in Severna park.
- The percentage of residents with less than a high school education is higher in Cushing at 13.3%, compared to 4.3% in Severna park.
- A higher percentage of residents in Severna park hold a bachelor's degree or higher at 38.1% 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.