Demographics details for Kingston, TN vs Mckinney, TX
Population Overview
Compare main population characteristics in Kingston, TN vs Mckinney, TX.
| Data | Kingston | Mckinney |
|---|---|---|
| Population | 6,115 | 207,507 |
| Median Age | 44.7 years | 36.9 years |
| Median Income | $67,637 | $113,286 |
| Married Families | 37.0% | 43.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 3.4 | 4.4 |
Population Comparison: Kingston vs Mckinney
- The population in Mckinney is higher at 207,507, compared to 6,115 in Kingston.
- Residents in Kingston have a higher median age of 44.7 years compared to 36.9 years in Mckinney.
- Mckinney has a higher median income of $113,286, compared to $67,637 in Kingston.
- In Mckinney, the percentage of married families is higher at 43.0%, compared to 37.0% in Kingston.
- Kingston has a higher poverty level at 12% compared to 9% in Mckinney.
- Mckinney has a higher unemployment rate at 4.4% compared to 3.4% in Kingston.
Demographics
Demographics Kingston vs Mckinney provide insight into the diversity of the communities to compare.
| Demographic | Kingston | Mckinney |
|---|---|---|
| Black | 4 | 11 |
| White | 91 | 52 |
| Asian | Data is updating | 11 |
| Hispanic | 2 | 16 |
| Two or More Races | 3 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Kingston vs Mckinney
- In Mckinney, the percentage of Black residents is higher at 11% compared to 4% in Kingston.
- Kingston has a higher percentage of White residents at 91% compared to 52% in Mckinney.
- In Mckinney, the Asian population stands at 11%, greater than 0% in Kingston.
- Mckinney has a higher percentage of Hispanic residents at 16%, compared to 2% in Kingston.
- The percentage of residents identifying as two or more races is higher in Mckinney at 9%, compared to 3% in Kingston.
- In Mckinney, the percentage of American Indian residents is higher at 1%, compared to 0% in Kingston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingston | Mckinney |
|---|---|---|
| Mental Health Not Good | 17.7% | 15.0% |
| Physical Health Not Good | 11.2% | 9.7% |
| Depression | 26.6% | 22.1% |
| Smoking | 18.0% | 12.2% |
| Binge Drinking | 16.9% | 18.0% |
| Obesity | 34.5% | 29.3% |
| Disability Percentage | 20.0% | 6.0% |
Health Statistics Comparison: Kingston vs Mckinney
- More residents in Kingston report poor mental health at 17.7% compared to 15.0% in Mckinney.
- Depression is more prevalent in Kingston at 26.6% compared to 22.1% in Mckinney.
- Smoking is more prevalent in Kingston at 18.0% compared to 12.2% in Mckinney.
- More residents engage in binge drinking in Mckinney at 18.0% compared to 16.9% in Kingston.
- Obesity rates are higher in Kingston at 34.5% compared to 29.3% in Mckinney.
- Disability percentages are higher in Kingston at 20.0% 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 | Kingston | Mckinney |
|---|---|---|
| No Schooling | 0.4% (25) | 0.4% (916) |
| High School Diploma | 23.4% (1,433) | 8.2% (16,929) |
| Less than High School | 10.0% (613) | 5.5% (11,513) |
| Bachelor's Degree and Higher | 16.5% (1,009) | 31.6% (65,610) |
Education Levels Comparison: Kingston vs Mckinney
- The percentage of residents with no formal schooling is the same in both Kingston and Mckinney at 0.4%.
- A higher percentage of residents in Kingston hold a high school diploma at 23.4% compared to 8.2% in Mckinney.
- More residents in Kingston have less than a high school education at 10.0% 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 16.5% in Kingston.
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.