Demographics details for Mckinney, TX vs Graham, NC
Population Overview
Compare main population characteristics in Mckinney, TX vs Graham, NC.
Data | Mckinney | Graham |
---|---|---|
Population | 207,507 | 17,856 |
Median Age | 36.9 years | 36.8 years |
Median Income | $113,286 | $51,482 |
Married Families | 43.0% | 34.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 4.4 | 4.5 |
Population Comparison: Mckinney vs Graham
- In Mckinney, the population is higher at 207,507, compared to 17,856 in Graham.
- Residents in Mckinney have a higher median age of 36.9 years compared to 36.8 years in Graham.
- Mckinney has a higher median income of $113,286 compared to $51,482 in Graham.
- A higher percentage of married families is found in Mckinney at 43.0% compared to 34.0% in Graham.
- The poverty level is higher in Graham at 10%, compared to 9% in Mckinney.
- Graham has a higher unemployment rate at 4.5% compared to 4.4% in Mckinney.
Demographics
Demographics Mckinney vs Graham provide insight into the diversity of the communities to compare.
Demographic | Mckinney | Graham |
---|---|---|
Black | 11 | 23 |
White | 52 | 51 |
Asian | 11 | 1 |
Hispanic | 16 | 17 |
Two or More Races | 9 | 8 |
American Indian | 1 | Data is updating |
Demographics Comparison: Mckinney vs Graham
- In Graham, the percentage of Black residents is higher at 23% compared to 11% in Mckinney.
- Mckinney has a higher percentage of White residents at 52% compared to 51% in Graham.
- The Asian population is larger in Mckinney at 11% compared to 1% in Graham.
- Graham has a higher percentage of Hispanic residents at 17%, compared to 16% in Mckinney.
- More residents identify as two or more races in Mckinney at 9% compared to 8% in Graham.
- A greater percentage of American Indian residents live in Mckinney at 1% compared to 0% in Graham.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mckinney | Graham |
---|---|---|
Mental Health Not Good | 15.0% | 18.3% |
Physical Health Not Good | 9.7% | 13.2% |
Depression | 22.1% | 25.2% |
Smoking | 12.2% | 20.5% |
Binge Drinking | 18.0% | 15.9% |
Obesity | 29.3% | 38.9% |
Disability Percentage | 6.0% | 14.0% |
Health Statistics Comparison: Mckinney vs Graham
- In Graham, a higher percentage report poor mental health at 18.3% compared to 15.0% in Mckinney.
- Higher depression rates are seen in Graham at 25.2% versus 22.1% in Mckinney.
- Graham has a higher smoking rate at 20.5% compared to 12.2% in Mckinney.
- Binge drinking is more common in Mckinney at 18.0% compared to 15.9% in Graham.
- Graham has higher obesity rates at 38.9% compared to 29.3% in Mckinney.
- There is a higher percentage of disabled individuals in Graham at 14.0% 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 | Graham |
---|---|---|
No Schooling | 0.4% (916) | 1.3% (227) |
High School Diploma | 8.2% (16,929) | 16.7% (2,976) |
Less than High School | 5.5% (11,513) | 16.2% (2,884) |
Bachelor's Degree and Higher | 31.6% (65,610) | 14.6% (2,610) |
Education Levels Comparison: Mckinney vs Graham
- In Graham, a larger percentage of residents lack formal schooling at 1.3% compared to 0.4% in Mckinney.
- In Graham, the rate of residents with high school diplomas is higher at 16.7% compared to 8.2% in Mckinney.
- The percentage of residents with less than a high school education is higher in Graham at 16.2%, compared to 5.5% in Mckinney.
- A higher percentage of residents in Mckinney hold a bachelor's degree or higher at 31.6% compared to 14.6% in Graham.
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.