Demographics details for Ponca city, OK vs Pittsburg, CA
Population Overview
Compare main population characteristics in Ponca city, OK vs Pittsburg, CA.
| Data | Ponca city | Pittsburg |
|---|---|---|
| Population | 24,340 | 77,572 |
| Median Age | 37.0 years | 35.2 years |
| Median Income | $51,367 | $98,408 |
| Married Families | 34.0% | 37.0% |
| Poverty Level | 18% | Data is updating |
| Unemployment Rate | 4.4 | 5.3 |
Population Comparison: Ponca city vs Pittsburg
- The population in Pittsburg is higher at 77,572, compared to 24,340 in Ponca city.
- Residents in Ponca city have a higher median age of 37.0 years compared to 35.2 years in Pittsburg.
- Pittsburg has a higher median income of $98,408, compared to $51,367 in Ponca city.
- In Pittsburg, the percentage of married families is higher at 37.0%, compared to 34.0% in Ponca city.
- Ponca city has a higher poverty level at 18% compared to 0% in Pittsburg.
- Pittsburg has a higher unemployment rate at 5.3% compared to 4.4% in Ponca city.
Demographics
Demographics Ponca city vs Pittsburg provide insight into the diversity of the communities to compare.
| Demographic | Ponca city | Pittsburg |
|---|---|---|
| Black | 3 | 15 |
| White | 67 | 9 |
| Asian | 1 | 18 |
| Hispanic | 9 | 43 |
| Two or More Races | 12 | 14 |
| American Indian | 8 | 1 |
Demographics Comparison: Ponca city vs Pittsburg
- In Pittsburg, the percentage of Black residents is higher at 15% compared to 3% in Ponca city.
- Ponca city has a higher percentage of White residents at 67% compared to 9% in Pittsburg.
- In Pittsburg, the Asian population stands at 18%, greater than 1% in Ponca city.
- Pittsburg has a higher percentage of Hispanic residents at 43%, compared to 9% in Ponca city.
- The percentage of residents identifying as two or more races is higher in Pittsburg at 14%, compared to 12% in Ponca city.
- A greater percentage of American Indian residents live in Ponca city at 8% compared to 1% in Pittsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ponca city | Pittsburg |
|---|---|---|
| Mental Health Not Good | 20.0% | 15.8% |
| Physical Health Not Good | 13.6% | 11.8% |
| Depression | 27.0% | 16.7% |
| Smoking | 22.1% | 12.7% |
| Binge Drinking | 14.8% | 15.0% |
| Obesity | 40.0% | 28.4% |
| Disability Percentage | 19.0% | 13.0% |
Health Statistics Comparison: Ponca city vs Pittsburg
- More residents in Ponca city report poor mental health at 20.0% compared to 15.8% in Pittsburg.
- Depression is more prevalent in Ponca city at 27.0% compared to 16.7% in Pittsburg.
- Smoking is more prevalent in Ponca city at 22.1% compared to 12.7% in Pittsburg.
- More residents engage in binge drinking in Pittsburg at 15.0% compared to 14.8% in Ponca city.
- Obesity rates are higher in Ponca city at 40.0% compared to 28.4% in Pittsburg.
- Disability percentages are higher in Ponca city at 19.0% compared to 13.0% in Pittsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ponca city | Pittsburg |
|---|---|---|
| No Schooling | 0.2% (51) | 3.1% (2,439) |
| High School Diploma | 17.0% (4,148) | 14.5% (11,263) |
| Less than High School | 12.0% (2,914) | 23.3% (18,048) |
| Bachelor's Degree and Higher | 12.6% (3,069) | 14.8% (11,476) |
Education Levels Comparison: Ponca city vs Pittsburg
- In Pittsburg, a larger percentage of residents lack formal schooling at 3.1% compared to 0.2% in Ponca city.
- A higher percentage of residents in Ponca city hold a high school diploma at 17.0% compared to 14.5% in Pittsburg.
- The percentage of residents with less than a high school education is higher in Pittsburg at 23.3%, compared to 12.0% in Ponca city.
- In Pittsburg, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 12.6% in Ponca city.
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.