Demographics details for Pittsburg, KS vs Oologah, OK
Population Overview
Compare main population characteristics in Pittsburg, KS vs Oologah, OK.
| Data | Pittsburg | Oologah |
|---|---|---|
| Population | 20,658 | 1,314 |
| Median Age | 25.7 years | 33.1 years |
| Median Income | $42,371 | $82,531 |
| Married Families | 28.0% | 47.0% |
| Poverty Level | 23% | 7% |
| Unemployment Rate | 3.1 | 3.5 |
Population Comparison: Pittsburg vs Oologah
- In Pittsburg, the population is higher at 20,658, compared to 1,314 in Oologah.
- The median age in Oologah is higher at 33.1 years, compared to 25.7 years in Pittsburg.
- Oologah has a higher median income of $82,531, compared to $42,371 in Pittsburg.
- In Oologah, the percentage of married families is higher at 47.0%, compared to 28.0% in Pittsburg.
- Pittsburg has a higher poverty level at 23% compared to 7% in Oologah.
- Oologah has a higher unemployment rate at 3.5% compared to 3.1% in Pittsburg.
Demographics
Demographics Pittsburg vs Oologah provide insight into the diversity of the communities to compare.
| Demographic | Pittsburg | Oologah |
|---|---|---|
| Black | 3 | Data is updating |
| White | 78 | 55 |
| Asian | 3 | 1 |
| Hispanic | 11 | 3 |
| Two or More Races | 5 | 17 |
| American Indian | Data is updating | 24 |
Demographics Comparison: Pittsburg vs Oologah
- A higher percentage of Black residents are in Pittsburg at 3% compared to 0% in Oologah.
- Pittsburg has a higher percentage of White residents at 78% compared to 55% in Oologah.
- The Asian population is larger in Pittsburg at 3% compared to 1% in Oologah.
- The Hispanic community is larger in Pittsburg at 11% compared to 3% in Oologah.
- The percentage of residents identifying as two or more races is higher in Oologah at 17%, compared to 5% in Pittsburg.
- In Oologah, the percentage of American Indian residents is higher at 24%, compared to 0% in Pittsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburg | Oologah |
|---|---|---|
| Mental Health Not Good | 19.3% | 18.4% |
| Physical Health Not Good | 12.5% | 12.0% |
| Depression | 25.0% | 25.1% |
| Smoking | 23.9% | 19.1% |
| Binge Drinking | 19.7% | 15.5% |
| Obesity | 43.5% | 43.4% |
| Disability Percentage | 16.0% | 29.0% |
Health Statistics Comparison: Pittsburg vs Oologah
- More residents in Pittsburg report poor mental health at 19.3% compared to 18.4% in Oologah.
- Higher depression rates are seen in Oologah at 25.1% versus 25.0% in Pittsburg.
- Smoking is more prevalent in Pittsburg at 23.9% compared to 19.1% in Oologah.
- Binge drinking is more common in Pittsburg at 19.7% compared to 15.5% in Oologah.
- Obesity rates are higher in Pittsburg at 43.5% compared to 43.4% in Oologah.
- There is a higher percentage of disabled individuals in Oologah at 29.0% compared to 16.0% in Pittsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburg | Oologah |
|---|---|---|
| No Schooling | 0.7% (150) | 0.4% (5) |
| High School Diploma | 13.0% (2,686) | 22.6% (297) |
| Less than High School | 5.9% (1,222) | 14.5% (190) |
| Bachelor's Degree and Higher | 17.2% (3,562) | 13.8% (181) |
Education Levels Comparison: Pittsburg vs Oologah
- A higher percentage of residents in Pittsburg have no formal schooling at 0.7% compared to 0.4% in Oologah.
- In Oologah, the rate of residents with high school diplomas is higher at 22.6% compared to 13.0% in Pittsburg.
- The percentage of residents with less than a high school education is higher in Oologah at 14.5%, compared to 5.9% in Pittsburg.
- A higher percentage of residents in Pittsburg hold a bachelor's degree or higher at 17.2% compared to 13.8% in Oologah.
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.