Demographics details for Bonita, CA vs Mckinney, TX
Population Overview
Compare main population characteristics in Bonita, CA vs Mckinney, TX.
| Data | Bonita | Mckinney |
|---|---|---|
| Population | 13,473 | 207,507 |
| Median Age | 45.2 years | 36.9 years |
| Median Income | $115,118 | $113,286 |
| Married Families | 41.0% | 43.0% |
| Poverty Level | 7% | 9% |
| Unemployment Rate | 3.5 | 4.4 |
Population Comparison: Bonita vs Mckinney
- The population in Mckinney is higher at 207,507, compared to 13,473 in Bonita.
- Residents in Bonita have a higher median age of 45.2 years compared to 36.9 years in Mckinney.
- Bonita has a higher median income of $115,118 compared to $113,286 in Mckinney.
- In Mckinney, the percentage of married families is higher at 43.0%, compared to 41.0% in Bonita.
- The poverty level is higher in Mckinney at 9%, compared to 7% in Bonita.
- Mckinney has a higher unemployment rate at 4.4% compared to 3.5% in Bonita.
Demographics
Demographics Bonita vs Mckinney provide insight into the diversity of the communities to compare.
| Demographic | Bonita | Mckinney |
|---|---|---|
| Black | 2 | 11 |
| White | 17 | 52 |
| Asian | 11 | 11 |
| Hispanic | 49 | 16 |
| Two or More Races | 21 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bonita vs Mckinney
- In Mckinney, the percentage of Black residents is higher at 11% compared to 2% in Bonita.
- The percentage of White residents is higher in Mckinney at 52% compared to 17% in Bonita.
- Both Bonita and Mckinney have the same percentage of Asian residents at 11%.
- The Hispanic community is larger in Bonita at 49% compared to 16% in Mckinney.
- More residents identify as two or more races in Bonita at 21% compared to 9% in Mckinney.
- In Mckinney, the percentage of American Indian residents is higher at 1%, compared to 0% in Bonita.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bonita | Mckinney |
|---|---|---|
| Mental Health Not Good | 14.3% | 15.0% |
| Physical Health Not Good | 9.4% | 9.7% |
| Depression | 16.2% | 22.1% |
| Smoking | 9.1% | 12.2% |
| Binge Drinking | 19.1% | 18.0% |
| Obesity | 23.3% | 29.3% |
| Disability Percentage | 10.0% | 6.0% |
Health Statistics Comparison: Bonita vs Mckinney
- In Mckinney, a higher percentage report poor mental health at 15.0% compared to 14.3% in Bonita.
- Higher depression rates are seen in Mckinney at 22.1% versus 16.2% in Bonita.
- Mckinney has a higher smoking rate at 12.2% compared to 9.1% in Bonita.
- Binge drinking is more common in Bonita at 19.1% compared to 18.0% in Mckinney.
- Mckinney has higher obesity rates at 29.3% compared to 23.3% in Bonita.
- Disability percentages are higher in Bonita at 10.0% 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 | Bonita | Mckinney |
|---|---|---|
| No Schooling | 1.3% (177) | 0.4% (916) |
| High School Diploma | 12.6% (1,704) | 8.2% (16,929) |
| Less than High School | 13.3% (1,796) | 5.5% (11,513) |
| Bachelor's Degree and Higher | 29.2% (3,934) | 31.6% (65,610) |
Education Levels Comparison: Bonita vs Mckinney
- A higher percentage of residents in Bonita have no formal schooling at 1.3% compared to 0.4% in Mckinney.
- A higher percentage of residents in Bonita hold a high school diploma at 12.6% compared to 8.2% in Mckinney.
- More residents in Bonita have less than a high school education at 13.3% 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 29.2% in Bonita.
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.