Demographics details for Piqua, OH vs Mckinney, TX
Population Overview
Compare main population characteristics in Piqua, OH vs Mckinney, TX.
| Data | Piqua | Mckinney |
|---|---|---|
| Population | 20,607 | 207,507 |
| Median Age | 37.9 years | 36.9 years |
| Median Income | $55,379 | $113,286 |
| Married Families | 35.0% | 43.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 4.5 | 4.4 |
Population Comparison: Piqua vs Mckinney
- The population in Mckinney is higher at 207,507, compared to 20,607 in Piqua.
- Residents in Piqua have a higher median age of 37.9 years compared to 36.9 years in Mckinney.
- Mckinney has a higher median income of $113,286, compared to $55,379 in Piqua.
- In Mckinney, the percentage of married families is higher at 43.0%, compared to 35.0% in Piqua.
- Piqua has a higher poverty level at 10% compared to 9% in Mckinney.
- The unemployment rate in Piqua is higher at 4.5%, compared to 4.4% in Mckinney.
Demographics
Demographics Piqua vs Mckinney provide insight into the diversity of the communities to compare.
| Demographic | Piqua | Mckinney |
|---|---|---|
| Black | 2 | 11 |
| White | 92 | 52 |
| Asian | 1 | 11 |
| Hispanic | 1 | 16 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Piqua vs Mckinney
- In Mckinney, the percentage of Black residents is higher at 11% compared to 2% in Piqua.
- Piqua has a higher percentage of White residents at 92% compared to 52% in Mckinney.
- In Mckinney, the Asian population stands at 11%, greater than 1% in Piqua.
- Mckinney has a higher percentage of Hispanic residents at 16%, compared to 1% in Piqua.
- The percentage of residents identifying as two or more races is higher in Mckinney at 9%, compared to 4% in Piqua.
- In Mckinney, the percentage of American Indian residents is higher at 1%, compared to 0% in Piqua.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Piqua | Mckinney |
|---|---|---|
| Mental Health Not Good | 18.8% | 15.0% |
| Physical Health Not Good | 13.1% | 9.7% |
| Depression | 23.9% | 22.1% |
| Smoking | 23.2% | 12.2% |
| Binge Drinking | 17.2% | 18.0% |
| Obesity | 42.0% | 29.3% |
| Disability Percentage | 14.0% | 6.0% |
Health Statistics Comparison: Piqua vs Mckinney
- More residents in Piqua report poor mental health at 18.8% compared to 15.0% in Mckinney.
- Depression is more prevalent in Piqua at 23.9% compared to 22.1% in Mckinney.
- Smoking is more prevalent in Piqua at 23.2% compared to 12.2% in Mckinney.
- More residents engage in binge drinking in Mckinney at 18.0% compared to 17.2% in Piqua.
- Obesity rates are higher in Piqua at 42.0% compared to 29.3% in Mckinney.
- Disability percentages are higher in Piqua at 14.0% compared to 6.0% in Mckinney.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Piqua | Mckinney |
|---|---|---|
| No Schooling | 0.5% (109) | 0.4% (916) |
| High School Diploma | 24.5% (5,047) | 8.2% (16,929) |
| Less than High School | 13.5% (2,775) | 5.5% (11,513) |
| Bachelor's Degree and Higher | 8.9% (1,835) | 31.6% (65,610) |
Education Levels Comparison: Piqua vs Mckinney
- A higher percentage of residents in Piqua have no formal schooling at 0.5% compared to 0.4% in Mckinney.
- A higher percentage of residents in Piqua hold a high school diploma at 24.5% compared to 8.2% in Mckinney.
- More residents in Piqua have less than a high school education at 13.5% compared to 5.5% in Mckinney.
- In Mckinney, a larger share of residents have a bachelor's degree or higher at 31.6% 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.