Demographics details for Spanish fork, UT vs Mckinney, TX
Population Overview
Compare main population characteristics in Spanish fork, UT vs Mckinney, TX.
Data | Spanish fork | Mckinney |
---|---|---|
Population | 44,102 | 207,507 |
Median Age | 27.4 years | 36.9 years |
Median Income | $93,989 | $113,286 |
Married Families | 43.0% | 43.0% |
Poverty Level | 6% | 9% |
Unemployment Rate | 3.8 | 4.4 |
Population Comparison: Spanish fork vs Mckinney
- The population in Mckinney is higher at 207,507, compared to 44,102 in Spanish fork.
- The median age in Mckinney is higher at 36.9 years, compared to 27.4 years in Spanish fork.
- Mckinney has a higher median income of $113,286, compared to $93,989 in Spanish fork.
- The percentage of married families is the same in both Spanish fork and Mckinney at 43.0%.
- The poverty level is higher in Mckinney at 9%, compared to 6% in Spanish fork.
- Mckinney has a higher unemployment rate at 4.4% compared to 3.8% in Spanish fork.
Demographics
Demographics Spanish fork vs Mckinney provide insight into the diversity of the communities to compare.
Demographic | Spanish fork | Mckinney |
---|---|---|
Black | 1 | 11 |
White | 80 | 52 |
Asian | Data is updating | 11 |
Hispanic | 12 | 16 |
Two or More Races | 7 | 9 |
American Indian | Data is updating | 1 |
Demographics Comparison: Spanish fork vs Mckinney
- In Mckinney, the percentage of Black residents is higher at 11% compared to 1% in Spanish fork.
- Spanish fork has a higher percentage of White residents at 80% compared to 52% in Mckinney.
- In Mckinney, the Asian population stands at 11%, greater than 0% in Spanish fork.
- Mckinney has a higher percentage of Hispanic residents at 16%, compared to 12% in Spanish fork.
- The percentage of residents identifying as two or more races is higher in Mckinney at 9%, compared to 7% in Spanish fork.
- In Mckinney, the percentage of American Indian residents is higher at 1%, compared to 0% in Spanish fork.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Spanish fork | Mckinney |
---|---|---|
Mental Health Not Good | 15.0% | 15.0% |
Physical Health Not Good | 10.8% | 9.7% |
Depression | 23.8% | 22.1% |
Smoking | 7.7% | 12.2% |
Binge Drinking | 8.3% | 18.0% |
Obesity | 31.0% | 29.3% |
Disability Percentage | 8.0% | 6.0% |
Health Statistics Comparison: Spanish fork vs Mckinney
- Poor mental health levels are equal in both Spanish fork and Mckinney at 15.0%.
- Depression is more prevalent in Spanish fork at 23.8% compared to 22.1% in Mckinney.
- Mckinney has a higher smoking rate at 12.2% compared to 7.7% in Spanish fork.
- More residents engage in binge drinking in Mckinney at 18.0% compared to 8.3% in Spanish fork.
- Obesity rates are higher in Spanish fork at 31.0% compared to 29.3% in Mckinney.
- Disability percentages are higher in Spanish fork at 8.0% 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 | Spanish fork | Mckinney |
---|---|---|
No Schooling | 0.4% (175) | 0.4% (916) |
High School Diploma | 9.1% (4,010) | 8.2% (16,929) |
Less than High School | 5.9% (2,583) | 5.5% (11,513) |
Bachelor's Degree and Higher | 19.4% (8,546) | 31.6% (65,610) |
Education Levels Comparison: Spanish fork vs Mckinney
- The percentage of residents with no formal schooling is the same in both Spanish fork and Mckinney at 0.4%.
- A higher percentage of residents in Spanish fork hold a high school diploma at 9.1% compared to 8.2% in Mckinney.
- More residents in Spanish fork have less than a high school education at 5.9% 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 19.4% in Spanish fork.
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.