Demographics details for Mckinney, TX vs Mullica hill, NJ
Population Overview
Compare main population characteristics in Mckinney, TX vs Mullica hill, NJ.
| Data | Mckinney | Mullica hill |
|---|---|---|
| Population | 207,507 | 4,454 |
| Median Age | 36.9 years | 41.0 years |
| Median Income | $113,286 | $123,265 |
| Married Families | 43.0% | 46.0% |
| Poverty Level | 9% | 4% |
| Unemployment Rate | 4.4 | 3.2 |
Population Comparison: Mckinney vs Mullica hill
- In Mckinney, the population is higher at 207,507, compared to 4,454 in Mullica hill.
- The median age in Mullica hill is higher at 41.0 years, compared to 36.9 years in Mckinney.
- Mullica hill has a higher median income of $123,265, compared to $113,286 in Mckinney.
- In Mullica hill, the percentage of married families is higher at 46.0%, compared to 43.0% in Mckinney.
- Mckinney has a higher poverty level at 9% compared to 4% in Mullica hill.
- The unemployment rate in Mckinney is higher at 4.4%, compared to 3.2% in Mullica hill.
Demographics
Demographics Mckinney vs Mullica hill provide insight into the diversity of the communities to compare.
| Demographic | Mckinney | Mullica hill |
|---|---|---|
| Black | 11 | 11 |
| White | 52 | 74 |
| Asian | 11 | 4 |
| Hispanic | 16 | 4 |
| Two or More Races | 9 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Mckinney vs Mullica hill
- The percentage of Black residents is the same in both Mckinney and Mullica hill at 11%.
- The percentage of White residents is higher in Mullica hill at 74% compared to 52% in Mckinney.
- The Asian population is larger in Mckinney at 11% compared to 4% in Mullica hill.
- The Hispanic community is larger in Mckinney at 16% compared to 4% in Mullica hill.
- More residents identify as two or more races in Mckinney at 9% compared to 7% in Mullica hill.
- A greater percentage of American Indian residents live in Mckinney at 1% compared to 0% in Mullica hill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mckinney | Mullica hill |
|---|---|---|
| Mental Health Not Good | 15.0% | 13.7% |
| Physical Health Not Good | 9.7% | 7.9% |
| Depression | 22.1% | 20.9% |
| Smoking | 12.2% | 10.3% |
| Binge Drinking | 18.0% | 20.0% |
| Obesity | 29.3% | 27.7% |
| Disability Percentage | 6.0% | 12.0% |
Health Statistics Comparison: Mckinney vs Mullica hill
- More residents in Mckinney report poor mental health at 15.0% compared to 13.7% in Mullica hill.
- Depression is more prevalent in Mckinney at 22.1% compared to 20.9% in Mullica hill.
- Smoking is more prevalent in Mckinney at 12.2% compared to 10.3% in Mullica hill.
- More residents engage in binge drinking in Mullica hill at 20.0% compared to 18.0% in Mckinney.
- Obesity rates are higher in Mckinney at 29.3% compared to 27.7% in Mullica hill.
- There is a higher percentage of disabled individuals in Mullica hill at 12.0% 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 | Mckinney | Mullica hill |
|---|---|---|
| No Schooling | 0.4% (916) | 0.7% (33) |
| High School Diploma | 8.2% (16,929) | 12.9% (576) |
| Less than High School | 5.5% (11,513) | 5.5% (244) |
| Bachelor's Degree and Higher | 31.6% (65,610) | 36.2% (1,612) |
Education Levels Comparison: Mckinney vs Mullica hill
- In Mullica hill, a larger percentage of residents lack formal schooling at 0.7% compared to 0.4% in Mckinney.
- In Mullica hill, the rate of residents with high school diplomas is higher at 12.9% compared to 8.2% in Mckinney.
- Both cities report the same percentage of residents with less than a high school education at 5.5%.
- In Mullica hill, a larger share of residents have a bachelor's degree or higher at 36.2% compared to 31.6% in Mckinney.
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.