Demographics details for Enola, PA vs Mckinney, TX
Population Overview
Compare main population characteristics in Enola, PA vs Mckinney, TX.
| Data | Enola | Mckinney |
|---|---|---|
| Population | 6,111 | 207,507 |
| Median Age | 37.0 years | 36.9 years |
| Median Income | $65,000 | $113,286 |
| Married Families | 52.0% | 43.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 3.0 | 4.4 |
Population Comparison: Enola vs Mckinney
- The population in Mckinney is higher at 207,507, compared to 6,111 in Enola.
- Residents in Enola have a higher median age of 37.0 years compared to 36.9 years in Mckinney.
- Mckinney has a higher median income of $113,286, compared to $65,000 in Enola.
- A higher percentage of married families is found in Enola at 52.0% compared to 43.0% in Mckinney.
- Enola has a higher poverty level at 10% compared to 9% in Mckinney.
- Mckinney has a higher unemployment rate at 4.4% compared to 3.0% in Enola.
Demographics
Demographics Enola vs Mckinney provide insight into the diversity of the communities to compare.
| Demographic | Enola | Mckinney |
|---|---|---|
| Black | 5 | 11 |
| White | 85 | 52 |
| Asian | 5 | 11 |
| Hispanic | 4 | 16 |
| Two or More Races | 1 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Enola vs Mckinney
- In Mckinney, the percentage of Black residents is higher at 11% compared to 5% in Enola.
- Enola has a higher percentage of White residents at 85% compared to 52% in Mckinney.
- In Mckinney, the Asian population stands at 11%, greater than 5% in Enola.
- Mckinney has a higher percentage of Hispanic residents at 16%, compared to 4% in Enola.
- The percentage of residents identifying as two or more races is higher in Mckinney at 9%, compared to 1% in Enola.
- In Mckinney, the percentage of American Indian residents is higher at 1%, compared to 0% in Enola.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Enola | Mckinney |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.0% |
| Physical Health Not Good | Data is updating% | 9.7% |
| Depression | Data is updating% | 22.1% |
| Smoking | Data is updating% | 12.2% |
| Binge Drinking | Data is updating% | 18.0% |
| Obesity | Data is updating% | 29.3% |
| Disability Percentage | Data is updating% | 6.0% |
Health Statistics Comparison: Enola vs Mckinney
- In Mckinney, a higher percentage report poor mental health at 15.0% compared to 0.0% in Enola.
- Higher depression rates are seen in Mckinney at 22.1% versus 0.0% in Enola.
- Mckinney has a higher smoking rate at 12.2% compared to 0.0% in Enola.
- More residents engage in binge drinking in Mckinney at 18.0% compared to 0.0% in Enola.
- Mckinney has higher obesity rates at 29.3% compared to 0.0% in Enola.
- There is a higher percentage of disabled individuals in Mckinney at 6.0% compared to 0.0% in Enola.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Enola | Mckinney |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (916) |
| High School Diploma | 0.0% (Data is updating) | 8.2% (16,929) |
| Less than High School | 0.0% (Data is updating) | 5.5% (11,513) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 31.6% (65,610) |
Education Levels Comparison: Enola vs Mckinney
- In Mckinney, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Enola.
- In Mckinney, the rate of residents with high school diplomas is higher at 8.2% compared to 0.0% in Enola.
- The percentage of residents with less than a high school education is higher in Mckinney at 5.5%, compared to 0.0% in Enola.
- In Mckinney, a larger share of residents have a bachelor's degree or higher at 31.6% compared to 0.0% in Enola.
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.