Demographics details for Piqua, OH vs Oologah, OK
Population Overview
Compare main population characteristics in Piqua, OH vs Oologah, OK.
| Data | Piqua | Oologah |
|---|---|---|
| Population | 20,607 | 1,314 |
| Median Age | 37.9 years | 33.1 years |
| Median Income | $55,379 | $82,531 |
| Married Families | 35.0% | 47.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Piqua vs Oologah
- In Piqua, the population is higher at 20,607, compared to 1,314 in Oologah.
- Residents in Piqua have a higher median age of 37.9 years compared to 33.1 years in Oologah.
- Oologah has a higher median income of $82,531, compared to $55,379 in Piqua.
- In Oologah, the percentage of married families is higher at 47.0%, compared to 35.0% in Piqua.
- Piqua has a higher poverty level at 10% compared to 7% in Oologah.
- The unemployment rate in Piqua is higher at 4.5%, compared to 3.5% in Oologah.
Demographics
Demographics Piqua vs Oologah provide insight into the diversity of the communities to compare.
| Demographic | Piqua | Oologah |
|---|---|---|
| Black | 2 | Data is updating |
| White | 92 | 55 |
| Asian | 1 | 1 |
| Hispanic | 1 | 3 |
| Two or More Races | 4 | 17 |
| American Indian | Data is updating | 24 |
Demographics Comparison: Piqua vs Oologah
- A higher percentage of Black residents are in Piqua at 2% compared to 0% in Oologah.
- Piqua has a higher percentage of White residents at 92% compared to 55% in Oologah.
- Both Piqua and Oologah have the same percentage of Asian residents at 1%.
- Oologah has a higher percentage of Hispanic residents at 3%, compared to 1% in Piqua.
- The percentage of residents identifying as two or more races is higher in Oologah at 17%, compared to 4% in Piqua.
- In Oologah, the percentage of American Indian residents is higher at 24%, compared to 0% in Piqua.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Piqua | Oologah |
|---|---|---|
| Mental Health Not Good | 18.8% | 18.4% |
| Physical Health Not Good | 13.1% | 12.0% |
| Depression | 23.9% | 25.1% |
| Smoking | 23.2% | 19.1% |
| Binge Drinking | 17.2% | 15.5% |
| Obesity | 42.0% | 43.4% |
| Disability Percentage | 14.0% | 29.0% |
Health Statistics Comparison: Piqua vs Oologah
- More residents in Piqua report poor mental health at 18.8% compared to 18.4% in Oologah.
- Higher depression rates are seen in Oologah at 25.1% versus 23.9% in Piqua.
- Smoking is more prevalent in Piqua at 23.2% compared to 19.1% in Oologah.
- Binge drinking is more common in Piqua at 17.2% compared to 15.5% in Oologah.
- Oologah has higher obesity rates at 43.4% compared to 42.0% in Piqua.
- There is a higher percentage of disabled individuals in Oologah at 29.0% compared to 14.0% in Piqua.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Piqua | Oologah |
|---|---|---|
| No Schooling | 0.5% (109) | 0.4% (5) |
| High School Diploma | 24.5% (5,047) | 22.6% (297) |
| Less than High School | 13.5% (2,775) | 14.5% (190) |
| Bachelor's Degree and Higher | 8.9% (1,835) | 13.8% (181) |
Education Levels Comparison: Piqua vs Oologah
- A higher percentage of residents in Piqua have no formal schooling at 0.5% compared to 0.4% in Oologah.
- A higher percentage of residents in Piqua hold a high school diploma at 24.5% compared to 22.6% in Oologah.
- The percentage of residents with less than a high school education is higher in Oologah at 14.5%, compared to 13.5% in Piqua.
- In Oologah, a larger share of residents have a bachelor's degree or higher at 13.8% compared to 8.9% in Piqua.
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.