Demographics details for Cashion, OK vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Cashion, OK vs Pittsburgh, PA.
| Data | Cashion | Pittsburgh |
|---|---|---|
| Population | 892 | 302,898 |
| Median Age | 33.3 years | 33.5 years |
| Median Income | $96,705 | $60,187 |
| Married Families | 58.0% | 26.0% |
| Poverty Level | 7% | 15% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Cashion vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 892 in Cashion.
- The median age in Pittsburgh is higher at 33.5 years, compared to 33.3 years in Cashion.
- Cashion has a higher median income of $96,705 compared to $60,187 in Pittsburgh.
- A higher percentage of married families is found in Cashion at 58.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 7% in Cashion.
- The unemployment rate in Cashion is higher at 3.5%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Cashion vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Cashion | Pittsburgh |
|---|---|---|
| Black | 2 | 23 |
| White | 53 | 62 |
| Asian | Data is updating | 6 |
| Hispanic | 22 | 4 |
| Two or More Races | 22 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Cashion vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 2% in Cashion.
- The percentage of White residents is higher in Pittsburgh at 62% compared to 53% in Cashion.
- In Pittsburgh, the Asian population stands at 6%, greater than 0% in Cashion.
- The Hispanic community is larger in Cashion at 22% compared to 4% in Pittsburgh.
- More residents identify as two or more races in Cashion at 22% compared to 5% in Pittsburgh.
- A greater percentage of American Indian residents live in Cashion at 1% compared to 0% in Pittsburgh.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cashion | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 16.5% | 16.3% |
| Physical Health Not Good | 10.3% | 11.7% |
| Depression | 24.0% | 21.1% |
| Smoking | 15.4% | 18.8% |
| Binge Drinking | 15.9% | 19.3% |
| Obesity | 36.9% | 35.0% |
| Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Cashion vs Pittsburgh
- More residents in Cashion report poor mental health at 16.5% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Cashion at 24.0% compared to 21.1% in Pittsburgh.
- Pittsburgh has a higher smoking rate at 18.8% compared to 15.4% in Cashion.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 15.9% in Cashion.
- Obesity rates are higher in Cashion at 36.9% compared to 35.0% in Pittsburgh.
- Disability percentages are higher in Cashion at 15.0% compared to 14.0% in Pittsburgh.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cashion | Pittsburgh |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (1,955) |
| High School Diploma | 25.8% (230) | 13.9% (42,015) |
| Less than High School | 5.2% (46) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 24.4% (218) | 32.1% (97,219) |
Education Levels Comparison: Cashion vs Pittsburgh
- In Pittsburgh, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Cashion.
- A higher percentage of residents in Cashion hold a high school diploma at 25.8% compared to 13.9% in Pittsburgh.
- The percentage of residents with less than a high school education is higher in Pittsburgh at 6.6%, compared to 5.2% in Cashion.
- In Pittsburgh, a larger share of residents have a bachelor's degree or higher at 32.1% compared to 24.4% in Cashion.
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.