Demographics details for Cushing, OK vs Pleasureville, KY
Population Overview
Compare main population characteristics in Cushing, OK vs Pleasureville, KY.
Data | Cushing | Pleasureville |
---|---|---|
Population | 8,345 | 786 |
Median Age | 35.8 years | 27.5 years |
Median Income | $46,602 | $47,436 |
Married Families | 35.0% | 57.0% |
Poverty Level | 13% | 12% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Cushing vs Pleasureville
- In Cushing, the population is higher at 8,345, compared to 786 in Pleasureville.
- Residents in Cushing have a higher median age of 35.8 years compared to 27.5 years in Pleasureville.
- Pleasureville has a higher median income of $47,436, compared to $46,602 in Cushing.
- In Pleasureville, the percentage of married families is higher at 57.0%, compared to 35.0% in Cushing.
- Cushing has a higher poverty level at 13% compared to 12% in Pleasureville.
- The unemployment rate is the same in both Cushing and Pleasureville at 3.5%.
Demographics
Demographics Cushing vs Pleasureville provide insight into the diversity of the communities to compare.
Demographic | Cushing | Pleasureville |
---|---|---|
Black | 6 | 5 |
White | 70 | 86 |
Asian | Data is updating | Data is updating |
Hispanic | 6 | 3 |
Two or More Races | 9 | 6 |
American Indian | 9 | Data is updating |
Demographics Comparison: Cushing vs Pleasureville
- A higher percentage of Black residents are in Cushing at 6% compared to 5% in Pleasureville.
- The percentage of White residents is higher in Pleasureville at 86% compared to 70% in Cushing.
- Both Cushing and Pleasureville have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Cushing at 6% compared to 3% in Pleasureville.
- More residents identify as two or more races in Cushing at 9% compared to 6% in Pleasureville.
- A greater percentage of American Indian residents live in Cushing at 9% compared to 0% in Pleasureville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cushing | Pleasureville |
---|---|---|
Mental Health Not Good | 19.1% | 19.6% |
Physical Health Not Good | 13.6% | 14.5% |
Depression | 25.6% | 28.2% |
Smoking | 22.3% | 23.5% |
Binge Drinking | 15.0% | 15.3% |
Obesity | 42.5% | 39.5% |
Disability Percentage | 15.0% | 26.0% |
Health Statistics Comparison: Cushing vs Pleasureville
- In Pleasureville, a higher percentage report poor mental health at 19.6% compared to 19.1% in Cushing.
- Higher depression rates are seen in Pleasureville at 28.2% versus 25.6% in Cushing.
- Pleasureville has a higher smoking rate at 23.5% compared to 22.3% in Cushing.
- More residents engage in binge drinking in Pleasureville at 15.3% compared to 15.0% in Cushing.
- Obesity rates are higher in Cushing at 42.5% compared to 39.5% in Pleasureville.
- There is a higher percentage of disabled individuals in Pleasureville at 26.0% compared to 15.0% in Cushing.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cushing | Pleasureville |
---|---|---|
No Schooling | 0.5% (41) | 0.8% (6) |
High School Diploma | 25.8% (2,152) | 54.2% (426) |
Less than High School | 13.3% (1,108) | 26.1% (205) |
Bachelor's Degree and Higher | 11.0% (918) | 5.1% (40) |
Education Levels Comparison: Cushing vs Pleasureville
- In Pleasureville, a larger percentage of residents lack formal schooling at 0.8% compared to 0.5% in Cushing.
- In Pleasureville, the rate of residents with high school diplomas is higher at 54.2% compared to 25.8% in Cushing.
- The percentage of residents with less than a high school education is higher in Pleasureville at 26.1%, compared to 13.3% in Cushing.
- A higher percentage of residents in Cushing hold a bachelor's degree or higher at 11.0% compared to 5.1% in Pleasureville.
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.